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RESILIENCE AS AN ORGANISATIONAL CAPABILITY: A STUDY OF HOW FIRMS SURVIVE AND OUTPERFORM IN DISRUPTIVE TIMES

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An environment, in which volatility and deep uncertainty represent the leading paradigm, pressures firms to focus their attention on adapting to disruptive environmental conditions. Although scholarly attention in the firm-level resilience construct has increased over the years, a number of important issues remain underexplored. To advance progress in the field, research is needed on the dimensions of resilient response formulation and enactment, the dimensions of the disruptive environment and situational factors as well as resilience as a latent outcome variable. Based on an in-depth, systematic review of the received literature, this thesis aims to extend the firm-level resilience literature by offering two distinct views of how firms develop, nurture and sustain firm-level resilience: One, the conceptual model of resilience capacity proposes a dynamic capability view of the dimensions and capabilities that underpin resilience capacity, thereby informing the capability literature on the capabilities essential to firm-level resilience. Two, the empirical study yields an inductive-contingency-based model of resilience that informs literature on the processes, dynamics and behaviours that underpin resilience response formulation and enactment contingent upon situational factors as well as characteristics of disruptiveness by detailing the dynamic, recursive and reciprocal nature of the relationships within the inductive model. In combination, these two views may provide useful insights to inform scholarship and managerial practise.
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RESILIENCE AS AN ORGANISATIONAL CAPABILITY:
A STUDY OF HOW FIRMS SURVIVE AND OUTPERFORM IN DISRUPTIVE TIMES
DIETMAR KAPPEL
SINGAPORE MANAGEMENT UNIVERSITY
2021
Resilience as an Organisational Capability:
A study of how firms survive and outperform in disruptive times
Dietmar KAPPEL
Submitted to Lee Kong Chian School of Business
in partial fulfilment of the requirements for the
Degree of Doctor of Philosophy in Business (General Management)
Dissertation Committee:
Gerry GEORGE (Supervisor, Chair)
Lee Kong Chian Chair Professor of Innovation and Entrepreneurship
Singapore Management University
Daniel Z. MACK
Assistant Professor of Strategic Management
Singapore Management University
Andreas B. EISINGERICH
Professor of Marketing
Imperial College London
SINGAPORE MANAGEMENT UNIVERSITY
2021
Copyright (2021) Dietmar KAPPEL
I hereby declare that this PhD dissertation is my original work
and it has been written by me in its entirety.
I have duly acknowledged all the sources of information
which have been used in this dissertation.
This PhD dissertation has also not been submitted for any degree
in any university previously.
Dietmar KAPPEL
16 April, 2021
Abstract
Resilience as an Organisational Capability:
A study of how firms survive and outperform in disruptive times
Dietmar KAPPEL
An environment, in which volatility and deep uncertainty represent the leading
paradigm, pressures firms to focus their attention on adapting to disruptive
environmental conditions. Although scholarly attention in the firm-level resilience
construct has increased over the years, a number of important issues remain
underexplored. To advance progress in the field, research is needed on the dimensions
of resilient response formulation and enactment, the dimensions of the disruptive
environment and situational factors as well as resilience as a latent outcome variable.
Based on an in-depth, systematic review of the received literature, this thesis aims to
extend the firm-level resilience literature by offering two distinct views of how firms
develop, nurture and sustain firm-level resilience: One, the conceptual model of
resilience capacity proposes a dynamic capability view of the dimensions and
capabilities that underpin resilience capacity, thereby informing the capability literature
on the capabilities essential to firm-level resilience. Two, the empirical study yields an
inductive-contingency-based model of resilience that informs literature on the
processes, dynamics and behaviours that underpin resilience response formulation and
enactment contingent upon situational factors as well as characteristics of
disruptiveness by detailing the dynamic, recursive and reciprocal nature of the
relationships within the inductive model. In combination, these two views may provide
useful insights to inform scholarship and managerial practise.
Keywords: Organisational Resilience, Resilience Capacity, Dynamic Capability Theory,
Contingency Theory, Systematic Literature Review, Grounded Theory, Business Dynamics
& System Thinking, Theory development
i
Table of contents
Introduction .............................................................................................................................................. 1
Chapter 1: Resilience in the literature ......................................................................................................... 3
Prior literature systematic review .........................................................................................................................8
Past research on organisational resilience............................................................................................................ 11
Prior conceptualisations and dimensions .............................................................................................................. 17
Prior definitions ..................................................................................................................................................... 19
Chapter 2: Reconceptualisation of resilience capacity ................................................................................ 22
Introduction ........................................................................................................................................................... 22
Dimensions of RESCAP ........................................................................................................................................... 27
Sensing ......................................................................................................................................................... 29
Exploring ...................................................................................................................................................... 30
Seizing .......................................................................................................................................................... 32
Transforming ............................................................................................................................................... 33
Potential and realised RESCAP .............................................................................................................................. 36
A conceptual dynamic capability model of RESCAP .............................................................................................. 38
Antecedents ................................................................................................................................................. 39
Amplifying (moderates) ............................................................................................................................... 44
Integrating (moderates) .............................................................................................................................. 47
Outcomes..................................................................................................................................................... 51
Leveraging (moderates) ............................................................................................................................... 55
Discussion .............................................................................................................................................................. 58
Future research ..................................................................................................................................................... 63
Chapter 3: Inductive study ........................................................................................................................ 64
Introduction ........................................................................................................................................................... 64
Research methods ................................................................................................................................................. 64
Theoretical sampling ................................................................................................................................... 67
Theoretical saturation ................................................................................................................................. 68
Data collection ............................................................................................................................................. 69
Data analysis ................................................................................................................................................ 72
Findings ................................................................................................................................................................. 77
Disruptiveness (A) ........................................................................................................................................ 78
Sensing (B) ................................................................................................................................................... 87
Exploring (C)................................................................................................................................................. 90
Buffering (D) ................................................................................................................................................ 93
Reconfiguring (E) ......................................................................................................................................... 98
Situational Moderators (F) ........................................................................................................................ 103
Resilience (G) ............................................................................................................................................. 109
An inductive-contingency-based view of Resilience ............................................................................................ 114
Discussion ............................................................................................................................................................ 117
Limitations and future research .......................................................................................................................... 121
Concluding remarks of the thesis ............................................................................................................ 123
Limitations of the thesis and future research .......................................................................................... 124
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References ............................................................................................................................................. 130
Back matter ........................................................................................................................................... 173
Appendix A list of studies reviewed (Chapter 1) ............................................................................................... 173
Appendix B literature review details (Chapter 1) ............................................................................................. 182
Appendix C propositions summarised (Chapter 2) ........................................................................................... 224
Appendix D comparing conceptualisations and definitions (Chapter 2) .......................................................... 226
Appendix E questions for interviews (Chapter 3) ............................................................................................. 227
Appendix F list of interviews (Chapter 3).......................................................................................................... 229
Appendix G emerging concepts (Chapter 3) ..................................................................................................... 230
Appendix H codebook (Chapter 3) .................................................................................................................... 250
Appendix I analysis of coding per interview (Chapter 3) .................................................................................. 252
Appendix J secondary data for triangulation (Chapter 3) ................................................................................ 253
Appendix K approach, summary and results (Chapter 2 & 3) .......................................................................... 254
Appendix L contributions and limitations (Chapter 2 & 3) ............................................................................... 255
Appendix M contingency theory in Strategic Management ............................................................................ 256
iii
List of tables
Table 1 resilience conceptualisation and measurement (selected works) ........................................................ 14
Table 2 past conceptualisations of organisational resilience ............................................................................ 21
Table 3 resilience capacity: main dimensions and capabilities, reconceptualised ............................................ 28
Table 4 moderators: amplifying, integrating and leveraging ............................................................................. 50
Table 5 resilience outcomes ............................................................................................................................... 50
Table 6 group names and description ................................................................................................................ 71
Table 7 overview of data sources....................................................................................................................... 71
Table 8 general future research directions ...................................................................................................... 129
Table 9 studies reviewed, by year of publication ............................................................................................ 173
Table 10 literature review summary ................................................................................................................ 182
Table 11 propositions: summary of propositions ............................................................................................ 224
Table 12 comparing prior and new conceptualisations and definitions.......................................................... 226
Table 13 list of interviews ................................................................................................................................ 229
Table 14 concepts, description and exemplary statements: Disruptiveness .................................................. 230
Table 15 concepts, description and exemplary statements: Sensing .............................................................. 235
Table 16 concepts, description and exemplary statements: Exploring ........................................................... 236
Table 17 concepts, description and exemplary statements: Buffering ........................................................... 238
Table 18 concepts, description and exemplary statements: Reconfiguring .................................................... 241
Table 19 concepts, description and exemplary statements: Situational moderators ..................................... 244
Table 20 concepts, description and exemplary statements: Resilience .......................................................... 247
Table 21 qualitative study: codebook from data analysis ............................................................................... 250
Table 22 analysis of coding per interview ........................................................................................................ 252
Table 23 secondary data examples (inductive study) ...................................................................................... 253
Table 24 summary of approach, theoretical lens, results across papers (Chapter 2 & 3) ............................... 254
Table 25 summary of contributions, limitations and future research (Chapter 2 & 3) ................................... 255
List of figures
Figure 1 timeline of important works (selected works and contributions) ....................................................... 12
Figure 2 conceptual RESCAP model reconceptualised (own illustration) .......................................................... 38
Figure 3 inductive research process (own illustration) , ................................................................................... 74
Figure 4 inductive data structure (own illustration) .......................................................................................... 76
Figure 5 an inductive-contingency-based model of resilience (own illustration)............................................ 114
iv
Acknowledgements
Words cannot express the gratitude I’d like to convey for my supervisor and the chair
of my dissertation committee, Dean Gerry George. I feel profoundly humbled and privileged
to count Gerry as my mentor on this journey, who always had the patience to endure my
learning. Gerry taught me to think, read and write, and always pushed me (and this work) to
be better. Most of all, I’d like to thank Gerry for giving me the opportunity to embark on this
journey and for patiently teaching me to think differently. I want to thank Gerry for boosting
my confidence to pursue this stream of research. I will remain truly indebted to him.
Likewise, I would like to express my deep appreciation to the other members of this
dissertation committee, Assistant Prof. Daniel Mack and Prof. Andreas Eisingerich for their
continuous support, encouragement, insightful comments, questions and advice to further
improve the quality and the intended contribution of my work as well as their time invested
at different stages in this journey. I will remain ever so grateful for their continued support.
To all of my interview participants, who, all in senior positions in their organisations,
took the time out of their busy schedules to contribute to this journey by readily giving their
time to share their experiences, expertise and insights. Their wealth of experience and deep
knowledge have formed a key part of the empirical work done in this thesis.
To my family and friends, who, regardless of where they are in the world, always offered
a word of encouragement and their support, and helped me endure the ups and downs of
this journey. With your help, I was able to start this next chapter in my life.
v
Dedication
To Sarah, who never allowed me to give up and without whose unconditional love and
support, I would not be who I am today.
1
Introduction
The issue of firm survival in disruptive times increasingly attracts scholarly attention
across several fields. In the field of strategic management, this paper joins the conversation
on how some firms are able to survive and even thrive in disruptive times while others do not
(van der Vegt et al., 2015). More precisely, this dissertation outlines two distinct views of firm-
level resilience: a dynamic capability view of resilience capacity and a contingency-based view
of how firms formulate and enact responses under disruptiveness. Prior work in this domain
has generated important insights, expressed through a number of different perspectives,
definitions and views. With a significant portion of the academic conversation being
conceptual, scholars have taken a variety of perspectives such as a system equilibrium
(Holling, 1973; Meyer, 1982), a capability-based (Coutu, 2002; Duchek, 2020) and a resource-
based (Linnenluecke, 2017; Sutcliffe & Vogus, 2003) view. Despite disagreement on a variety
of issues, this stream of research concluded on several essential features of resilience such as
the resilience outcomes being indirectly observable as a latent outcome variable (DesJardine
et al., 2019; Hayward et al., 2010; Ortiz‐de‐Mandojana & Bansal, 2016) and that resilience can
be nurtured (Lengnick-Hall & Beck, 2005; Sutcliffe & Vogus, 2003; Youssef & Luthans, 2007).
However, because of the idiosyncratic perspectives and approaches taken by scholars
hitherto, we lack a coherent and systematic understanding of resilience in the management
domain, which in turn constrains the theoretical development of resilience as a generalisable
organisational construct. Indeed, our current understanding of resilience of the firm is shaped
by diverging construct-definitions, by differing theoretical conceptualisations, by inconclusive
measurements and by deviating empirical research approaches. Scholars furthermore tend
to disagree on the dimensions and capabilities that constitute the resilience capacity of the
firm (Conz & Magnani, 2020; Hillmann, 2020; Linnenluecke, 2017). Aspects of the
2
organisational resilience framework such as the dimensions of resilient outcomes and
boundary conditions that moderate the relationships within the focal theory, have thus far
received little attention.
The purpose of this thesis is to address these aforementioned gaps in the received
literature by exploring how firms survive and outperform under disruptiveness through two
distinct lenses: the dynamic capability perspective and the contingency theoretical
perspective. This thesis proposes a reconceptualised theory of firm-level resilience that
endorses a more nuanced view of the antecedents and the environmental conditions that
characterise disruptive times, the underlying dimensions and capabilities of firm-level
resilience, the boundary conditions that moderate the relationships within the theory, and
resiliency measured as outcomes. The conclusion of this thesis is that both the dynamic
capability view and the inductive-contingency-based view of firm-level resilience offer
important insights for the firm-level resilience literature by informing how firms develop and
deploy essential capabilities and how firms formulate and enact responses contingent upon
environmental and situational variables. While observing the same phenomenon across both
studies, these two distinct views may provide a richer and more nuanced understanding of
how firm-level resilience is developed, achieved and sustained in disruptive times.
Chapter 1 provides an overview of the received literature on firm-level resilience
through a systematic literature review. The conceptual effort in Chapter 2 proposes a
reconceptualised model of firm-level resilience capacity through the dynamic capability
theoretical lens (Figure 2), while Chapter 3 summarises empirical findings from the inductive
study through the lens of contingency-theory, yielding an inductive-contingency-based model
of firm-level resilience (Figure 5). A brief summary, findings and contributions as well as
limitations of these studies and potential future research directions conclude this thesis.
3
Chapter 1: Resilience in the literature
The capacity of a firm to be resilient describes firm behaviours and processes that foster
a variety of capabilities, allowing firms to sense threats and explore opportunities, seize and
transform assets, enabling firms to survive and even thrive in the face of disruption.
Understanding how firms build and retain competitive advantage “in regimes of rapid
change” (Teece et al., 1997, p. 510) has been at the centre of attention in the dynamic
capability theory. Seeking an explanation for firm-level success and failure (Teece et al., 1997)
in disruptive times, this paper adopts a dynamic capability view of firm-level capabilities
critical to sustained competitive advantage and superior firm performance in disruptive
times. At the core of the dynamic capability perspective rests the notion that sustained
competitive advantage is a result of how a firms’ dynamic capabilities enable the
management and reconfiguration of its asset and skill base (Teece et al., 1997).
Adopting a dynamic capability perspective in the investigation of firm-level resilience is
useful for a variety of reasons. Routed in the resource-based view of the firm and
incorporating notions of Schumpeterian innovation-based competition and rents, the
dynamic capability view emphasises managerial flexibility in environments characterised by
deep uncertainty (Teece, 2019). Traditional approaches to explaining firm-level differences in
performance “assume relatively predictable environments” and equate uncertainty with risk
(Teece, 2019, p. 17). In contrast, the dynamic capability view explicitly acknowledges deep
uncertainty (Teece, 2014a, 2017, 2019). Deep uncertainty often manifests through events
that had not been anticipated in environments that demonstrate rapidly evolving disruptive
dynamics driven by a variety of external and internal factors.
While prior work in-part adopted a capability-perspective of firm resilience (Darkow,
2019; Duchek, 2020, 2014), empirical findings on the dimensions and capabilities that
4
constitute resilience capacity as a dynamic capability of the firm remain inconclusive. The
dynamic capability perspective offers a particularly informative approach to explaining
differences in firm-level performance, competitive advantage and the formulation of
responses in disruptive times (Helfat & Peteraf, 2015; Teece et al., 1997). The exceeding utility
of the dynamic capability theory for this study rests on the emphasis of strategy, the what,
over operational excellence and efficiency, the how, in disruptive times where environments
demonstrate increased levels of volatility (Teece, 2019). Eisenhardt & Martin (2000) note that
in high-velocity markets, dynamic capabilities resemble fragile and simple processes that yield
uncertain outcomes, idiosyncratic and firm-specific in nature. The capabilities critical to
sustaining competitive advantage in disruptive times reside at the individual-, team-, in
particular the top management team, and firm-level (Teece, 2019). The dynamic aspect of
dynamic capabilities emphasises the habitual renewal of skills such that effective responses
can be formulated by the firm in accordance to constantly changing environmental dynamics
(Teece et al., 1997). This paper suggests an extension to the dynamic capability view in that
resilience capacity includes an explorative dimension emphasising the inherently
entrepreneurial notion of opportunity seeking.
Important to the development of resilience capacity as a dynamic capability of the firm
is the assumption that the firms’ policy choices interdepend and evolve over an extended
period of time, or longitudinally, that is in contrast to viewing managerial choice as a cross-
sectional phenomenon at a specific point in time (Ghemawat & Cassiman, 2007). Earlier
scholarship emphasises both organisational learning in building dynamic capabilities of the
firm (Teece et al., 1997) and path dependency of choices in strategically dynamic
environments (Ghemawat & Cassiman, 2007; Sterman et al., 2007; Teece, 2007; Teece et al.,
1997) of disequilibrium. This paper emphasises the notion of disequilibrium and the
5
capabilities that are essential to value creation and appropriation during such time (Sterman
et al., 2007) as the focal environmental condition.
The concept of capability lifecycle stages offers valuable insights on how capabilities
develop and evolve over time (Helfat & Peteraf, 2003, 2015) thereby informing scholarship
on how resilient capabilities come to exist and that disruptive environments do in fact exert
influence on the development and deployment of resilience capacity. This narrative is
particularly important for the application of the dynamic capability theory to disruptive times,
where the absence of dynamic capabilities ex ante represents a disadvantage when entering
disequilibrium induced by disruption. Thus, resilience capacity as a dynamic capability of the
firm shall be viewed strategically. The essence of what constitutes a capability also
reemphasises the importance of capability development paths and learning. That is, a
capability requires a minimum reliability in its deployment and repeatability of the activity to
constitute a capability (Helfat & Peteraf, 2003). As dynamic capabilities cannot be acquired,
they have to be built through development and nurturing within the firm (Teece, 2019). This
notion further emphasises the importance of fostering an understanding of which capabilities
are important during times of disruption and how they can be developed.
Extending a neo-Schumpeterian view of the firm, scholars argue that dynamic
capabilities “directly engender rents” (Zott, 2003, p. 120). The dynamic capability view holds
that rents flow from “the firm’s ability to reconfigure and transform(Teece et al., 1997, p.
524), emphasising the role of a firms’ capabilities to develop and deploy its (strategic) assets.
While previous scholarship emphasised an equilibrium view of Porterian and Ricardian rents,
more recent work highlights a disequilibrium perspective in which action is emphasised over
possession and position, and entrepreneurial rents are pursued (Keyhani et al., 2015; Teece,
2007).
6
While prior scholarship in part offered a multi-dimensional view of resilience measured
as latent outcome variable (Ma et al., 2018; van der Vegt et al., 2015; Winn et al., 2011),
extant opinion continues to remain ambiguous as to what these dimensions are and how
those should be measured. Following the dynamic capability view developed earlier
(Eisenhardt & Martin, 2000; Helfat & Peteraf, 2003; Teece et al., 1997), this paper proposes
two-dimensional view of resilience outcomes. The external measure of resilience outcomes
is operationalised as sustained competitive advantage, consequently leading to superior firm
performance (Newbert, 2008; Powell, 2001) or herein expressed as performance reversion.
The internal measure of resilience outcomes is expressed through the notion of enhanced
flexibility and adaptability of the firm to its changing environmental conditions (Hamel &
Välikangas, 2003; Teece et al., 1997). The two-dimensional view of resilience outcomes
enhances the utility of the emergent theory as both the external measure of superior
performance, and thus the short- and long-term survival of the firm, as well as adaptability of
the firm are explicitly acknowledged.
Prior scholarship remains largely inconclusive on the events, dynamics and
environmental conditions that characterise disruptions. Insights from prior work on
environmental dimensions (Dess & Beard, 1984; Hitt et al., 1998; Keats & Hitt, 1988) offer a
valuable perspective to inform resilience capacity research in that environmental conditions
can serve as a means of characterising disruptions. Building a more nuanced view of what
constitutes disruption informs both literature and practise by inferring conditional utility of
the discrete (sets of) capabilities of resilience capacity contingent upon particular
environmental conditions. Earlier work on environmental categorisation emphasised a
multidimensional view of the firm-environment relationship (Keats & Hitt, 1988; Romanelli &
Tushman, 1986).
7
The Environment-Organization Interface model by Keats & Hitt (1988) offers a fertile
grounding for a categorisation of the environment and a more nuanced view of what
constitutes disruptive times for the firm. An emphasis on transformative and distributive
action within the RESCAP framework bears its grounding in the firm-environment literature
(Keats & Hitt, 1988; Romanelli & Tushman, 1986) and the organisational adaptation literature
(Gibson & Birkinshaw, 2004; Levinthal, 1997). While a focus on risk-reduction in disruptive
environments through increased diversification might seem intuitive (Amit & Livnat, 1988;
Ansoff, 1958; Rugman, 1976), prior work points to a more nuanced view in which contingent
upon the prevalent environmental conditions the focus lies on the reduction of uncertainty
through simplification of the organisation rather than risk reduction through diversification
(Keats & Hitt, 1988, p. 587). This encourages increased focus on the contingent utility of the
capabilities that underly RESCAP, to form a dynamic capability of the firm, consistent with
changing environmental conditions.
8
Prior literature systematic review
The systematic literature review below shall serve as the basis for further study and
conceptualisation of how firms survive and outperform in disruptive times. That is, the focus
is on how firms adapt to disruptive environmental conditions through formulation and
enactment of resilience responses.
Data collection and cleaning. Reviewing the extant understanding of resilience in the
business and management research field represents a complex and significant task.
Therefore, a multi-dataset and multi-step process of reviewing the current literature is
warranted. As a first step, two separate database providers were targeted for the initial data
collection: Web of Science (WOS) and EBSCOhost (EBSCO).
Web of Science (Clarivate, 2020). In search 1 a Boolean search for the terms
organisational resilien* or organizational resilien* or enterprise resilien* or resilient
enterprise or resilient firm in title, abstract, key words limited to the contributions in English
in the Web of Science Categories (WC) Business or Management was conducted. This search
yielded 189 contributions. In search 2 a Boolean search for resilien* across all available WOS
fields in the WCs Business or Management for contributions in English yielded 3959 results.
The results from search 2 were ranked by WOS citation count and the top 100 articles by WOS
citation count were selected for this review (result = 100). Merge search 1 and search 2: the
results from searches 1 and 2 were subsequently merged. After removing duplicates from the
merged dataset, 281 unique contributions remained in the Web of Sciences dataset (8
duplicates were removed in the merged dataset from the WOS searches).
EBSCOhost (EBSCO industries, 2020). A third search (search 3) in the Academic Search
Ultimate, Open Dissertations and Business Source Ultimate databases within EBSCOhost
9
(EBSCO) for the same search terms as above in the All Text (TX) and Abstract (AB) field within
the Subject Terms (SU) Business and Management yielded 173 unique contributions.
Merging search 1, 2 and 3. The results from the WOS searches and the EBSCO search
were further merged to arrive at a combined dataset of WOS and EBSCO searches (n = 452).
After duplicates among the merged dataset were removed (n = 43), the merged list was
cleaned for non-English-language contributions (n = 3), incomplete records and irretrievable
contributions (n = 21), a total of 378 contributions were considered for subsequent
categorisation. Little overlap between the two search sources could be observed (n = 43),
leading to assume a rather fragmented view of organisational resilience within the
management research field.
In step 2, after an initial review, the exclusion criteria, for the merged and cleaned
dataset of 378 contributions, were defined. Using the initial review process of the
contributions as a guide for exclusion criteria formation, such criteria were defined as follows
(resulting exclusions n in brackets): 2 use of the term without relevance to focal research (n
= 69), 3 no use of the phrase (n = 30), 4 engineering, system and infrastructure resilience
(n = 15), 6 supply chain management research (n = 45), 7 use of the phrase without explicit
elaboration of the concept (n = 52), 8 psychological capital (PsyCap) organisational
behaviour (n = 9). The initial review process covered the reading of each article to gather an
overview of the field of study.
For example, through exclusion criteria 2, use of the term without relevance to focal
research, contributions were excluded where the term resilience was used, however those
papers did not use the term in a form relevant to the focal research questions. Exclusion
criteria 3 was defined to exclude articles where the term was not used in either one of the
sections of the papers. Through reason 6, focus on supply chain, papers were excluded due
10
to their sole focus on supply chain management or operations management, considered a too
narrow focus for this paper. 19 manual additions were made during the course of the detailed
literature review process based on cited references and important contributions to the field
that were not listed in the initial search results.
Applying the above exclusion criteria to the merged and cleaned dataset of 378
contributions, manually adding cited reference works and important contributions and
further excluding works after a more detailed review, yielded a final dataset of 168
contributions
1
(452 initial contributions, less 303 exclusions in total, plus 19 manual additions,
yields a final dataset of 168 articles). The detailed review process comprised of an in-depth
analysis of each contribution (n = 168) which included multiple readings of each paper as well
as summaries of each papers’ theoretical underpinnings, conceptualisation,
operationalisation and measurement, and outcomes further details of each paper review
are outlined in the back matter contained in Appendix B.
1
A list of studies that have been analysed in detail is shown in Appendix A
11
Past research on organisational resilience
While academic interest in organisational resilience has continuously grown in recent
years (Conz & Magnani, 2020; Duchek, 2020; Linnenluecke, 2017), an obligation remains to
establish conceptual and empirical clarity, to foster consensus on what aspect constitute,
define and describe the resilience construct, which capabilities a firm must possess to survive
disruptive events and periods, what are the antecedents of the resilience capacity, which are
moderating factors to the relationships within the conceptualisation and what are the
consequences, i.e. outcomes. Research on resilience in the business and management
context has attracted growing attention from scholars across diverse fields of study, as well
as across multiple levels of analysis.
Evolution of resilience research. Further analysing the above mentioned WOS dataset
as an indicator shows the growing interest of research on the resilience construct in Business
and Management literature over time. Using publications in the WOS dataset as an indicator,
one can observe the uptick in number of research articles published from 2011 onwards. In
the years between 2000 and 2010 a total of 17 papers were published, while the period
between 2011 and 2020 (by June 2020) produced 172 published articles. Figure 1 gives an
overview of selected works over time important to the progress in the field.
Prior reviews. Dedicated literature reviews of research on the organisational resilience
construct have been published repeatedly (e.g. Annarelli & Nonino, 2016; Barasa et al., 2018;
Bhamra et al., 2011; Hillmann, 2020; M. K. Linnenluecke, 2017; Vogus & Sutcliffe, 2007) with
some more recent works focussing on reviews of organisational resilience in specific domains
such as entrepreneurship (Korber & McNaughton, 2018) and dynamic capabilities (Conz &
Magnani, 2020). The systematic literature review presented in this paper builds upon prior
reviews, however, also critically examines extant opinion across a diverse set of levels of
12
analysis, theoretical lenses, viewpoints and conclusions as well as prior conceptualisations
and frameworks.
Figure 1 timeline of important works (selected works and contributions)
The resulting conceptualisations from prior reviews are frequently subject to an overly
narrow focus, inflexible viewpoints and are limited in either methodological approach or
scope. Past reviews have commonly focussed on one dimension of analysis, by, for example,
13
focussing on a limited number of theoretical underpinnings (e.g. Linnenluecke, 2017) or
conceptualisations based on relative periods of time (e.g. Conz & Magnani, 2020) while to
some degree failing to account for the a multiplicity of levels of analysis, various lenses and
theoretical conceptualisations that the research of the resilience construct, in fact,
necessitates.
Research domains. Research on resilience has spun across a variety research domains
such as psychology, individual psychology, psychological capital (Avey et al., 2008; Luthans et
al., 2008), ecology (Folke et al., 2010; Holling, 1973; Walker et al., 2004), engineering (Holling,
1996; Hosseini et al., 2016) and operations management (Ali & Gölgeci, 2019; Sheffi & Rice,
2005). The wide spread of research domains on the one hand implies great interest in the
construct across fields and a level of dispersion and divergence of opinion on the focal
construct on the other hand.
Level of analysis. Table 1 offers an overview of selected past works focussing on various
levels of analysis, covering the country or societal level (Carmeli & Markman, 2011; Dalgaard‐
Nielsen, 2017), organisational (Lengnick-Hall & Beck, 2005; Sutcliffe & Vogus, 2003; Teixeira
& Werther, 2013), team (Barton & Kahn, 2019; Weick, 1993) and the individual level (Hayward
et al., 2010; Youssef & Luthans, 2007).
16
From the in-depth systematic review of prior works, it can be observed that earlier
contributions employed a great variety of theoretical lenses underpinning their
conceptualisations. Lenses range for example from notions which see resilience as a leading
principle to manage threats on a country-level (Dalgaard‐Nielsen, 2017), to the idea of
positive adjustment during crises, later yielding stronger future responses of the organisation
through learning (Sutcliffe & Vogus, 2003), to a firm-culture that enables continuous re-
creation of competitive advantage through anticipatory innovation (Teixeira & Werther,
2013), to resilience as a guiding principle based on behavioural decision theory (Hayward et
al., 2010).
Treatment, measures and outcomes. Scholars have employed a number of different
measures in their studies on organisational resilience. Table 1 provides an overview of
selected works, showing that researchers thus far have used different treatments and
measures to conceptualise and examine the organisational resilience construct. Moreover, a
great variety of examined outcomes can be observed: differences due to indirectly (Hayward
et al., 2010) and directly (Morais-Storz et al., 2018) measurable outcomes are visible in prior
works. Even though a number of scholars construct their studies and framework so that
resilience is an input variable (e.g. Bullough et al., 2014; Youssef & Luthans, 2007), the
majority of prior studies view resilience as an indirectly measurable outcome (Bhamra et al.,
2011; Hayward et al., 2010; Herbane, 2010; Holling, 1973; Lengnick-Hall et al., 2011; Meyer,
1982; Rudolph & Repenning, 2002; Sutcliffe & Vogus, 2003), nonetheless the
operationalisation of the outcome seems divergent across studies.
Conceptual differences such as resilience being positioned similarly to competitive
advantage (Teixeira & Werther, 2013) and the extension of earlier threat-rigidity views to the
notion of robust transformation (Lengnick-Hall & Beck, 2005) further contribute to
17
scholarship meandering away from a potential point of convergence its views of the concept.
Despite the observable implicit concurrence amidst prior work on the indirect measurability
of resilience as an outcome, construct definition and operationalisation of such still seems to
be in disagreement among scholars.
Prior conceptualisations and dimensions
Table 2 presents a synopsis of prior conceptualisations of organisational resilience,
indicating exemplary studies. Prior research has produced a variety of conceptualisations,
with, in part, inconsistent theoretical approaches.
A notion borne from the seminal works of Holling (1996), Meyer (1982) and Staw et al.
(1981) respectively, is the notion of equilibrium-disequilibrium, which emphasises a firms
movement in and out of equilibrium due to disruptions that the firm faces. In their early work,
Staw et al. (1981) explicate the notion of threat-rigidity in which the organisation is assumed
to yield a potentially rigid response to a threat due to restricted information as well as
organisational structure that constrict control. Contradicting the notion of threat-rigidity firm
behaviour, Meyer (1982) explicates that organisations react to environmental jolts by
increased organisational learning in combination with first- and second-order changes. The
author further reasons that adaptation, ideological and strategic variables better predict
resilience than slack resources do. The writings of Meyer (1982) and Staw et al. (1981)
respectively show a divergent approach to researching the resilient responses by
organisations from the beginnings of this research stream in business and management.
A second group of scholars view organisational resilience from a capability-based
perspective, in which the focus is laid on the capabilities that a firm ought to possess and
nurture to survive the impact of disruptions. Such capabilities include, albeit are not limited
to, absorption of shocks (e.g. Riolli & Savicki, 2003), ambidextrous and dynamic capabilities
18
(Ingram & Bratnicka-Myśliwiec, 2019), sensemaking (Tisch & Galbreath, 2018; Weick, 1993)
and being flexible in behaviour and organisational responses (Sheffi & Rice, 2005; Vogus &
Sutcliffe, 2007).
A third perspective, the cognitive perspective, focusses on managerial cognition
relative to a variety of domains, where resilience is viewed as a latent outcome variable (e.g.
Hayward et al., 2010) as well as moderating variable (e.g. Bullough et al., 2014). Scholars
employing a cognitive perspective in the study of organisational resilience focus on a variety
of notions, such as the impact of resilience on entrepreneurial intentions (Bullough et al.,
2014) or resilience as the reason for venture-success post preceding venture-failure (Hayward
et al., 2010).
The resource-based perspective in organisational resilience research addresses a
variety of resources, the utilisation, deployment, re-allocation of which are theorised to
enable firm survival in times of disruption. Resources discussed in prior works include slack,
financial, personal, family, structural, cognitive, relational and emotional. Sullivan-Taylor &
Branicki (2011) for instance base their conceptualisation of resilient SMEs on financial,
physical, human and organisational resources (p. 5567; following Barney, 1995) while
Richtnér & Löfsten (2014) focus their underlying reasoning on structural, cognitive, relational
and emotional resources.
Last, resilience in some instances is viewed as a multidimensional construct, covering
a variety of properties (Hamel & Välikangas, 2003; Lengnick-Hall & Beck, 2005) and related
notions such as business model innovation (Buliga et al., 2016), in which the re-combination
of resources and capabilities is seen as the key to firm survival, or the multi-level and multi-
dimensional construct of sustained competitive advantage (J. H. Lee et al., 2013; Teixeira &
Werther, 2013). Conz & Magnani (2020) conceptualise a multi-dimensional, temporal view of
19
organisational resilience, in which they outline resilience as a proactive, adaptive, reactive
and dynamic attribute of the organisation. Duchek (2020) outlines a processual view in
combination with a focus on resilience capabilities to arrive at her conceptualisation of the
organisational resilience construct (p. 224).
Prior definitions
The current understanding of construct definition too varies considerably. As the
résumé in Table 2 shows, scholars have employed a number of different viewpoints to the
study of resilience, which yield in-part contradictory construct definitions. Early definitions of
organisational resilience include notions of resilience as an outcome of “. . . responses [that]
create negative feedback loops that absorb jolts’ impacts” (Meyer, 1982, p. 520). Staw et al.
(1981), failing to mention the term resilience in their paper, offer a threat-rigidity view, which
postulates that when firms are faced with disruptions, threats, the individual, team or
organisation resorts back to rigid behaviours in which information processing and control are
restricted. The authors do however offer a definition of “corporate collapses can be viewed
as failures to alter response in the face of environmental change” (Staw et al., 1981, p. 501),
somewhat reaffirming a definition of resilience as an outcome.
Later work expanded the focus on “[t]he skill and the capacity to be robust under
conditions of enormous stress and change” (Coutu, 2002, p. 52) or “the ability to dynamically
reinvent business models and strategies as circumstances change” (Hamel & Välikangas,
2003, p. 53). Such definitions denote a shift towards a capability or capacity focussed views.
Taking a capabilities perspective, a number of scholars used different definitions as a basis for
their conceptualisations, for example Sutcliffe & Vogus (2003) refine resilience as . . . (a) the
ability to absorb strain and preserve (or improve) functioning despite the presence of
20
adversity (both internal adversity […] and external adversity […]), or (b) an ability to recover
or bounce back from untoward events” (p. 96).
While scholarship had already described resilience as a capacity (e.g. Hamel &
Välikangas, 2003, p. 55), Lengnick-Hall & Beck (2003, 2005, 2009) were arguably the most
prominent to firstly express an explicit definition of resilience capacity as “. . . a unique blend
of cognitive, behavioural, and contextual properties that increase a firms ability to
understand its current situation and to develop customized responses that reflect that
understanding” (Lengnick-Hall & Beck, 2005, p. 750). Later work followed the capacity-view,
while taking slightly differing viewpoints in definitional terms (Conz et al., 2017; Duchek,
2018; Kantur & Iseri-Say, 2012; M. K. Linnenluecke et al., 2012) with some work focussing on
the capacity for resilience residing in the individuals within the organisation (Luthans et al.,
2010; Youssef & Luthans, 2007). Subsequent work employs divergent conceptualisations of
resilience capacity. Some scholars focus on the “firm’s capacity for developing organizational
resilience” (Lengnick-Hall et al., 2011, p. 248). Scholars in this group view the deployment of
capabilities and changes in organisational resource allocation as the capacity and resilience
as the outcome. Other scholars however either do not make their definitions of resilience as
a capacity explicit or use slightly diverging definitional bases for their conceptualisations. The
main views, definitions and conceptualisations are summarised in Table 2 below. What
remains however, is the lack of definitional clarify and ambiguity relative to theoretical
underpinnings, conceptualisations, constructs and measurement.
The below reconceptualisation of RESCAP utilises a blend of earlier notions to arrive at
a converging idea of RESCAP, that shall foster progress in academia as well as increase the
relevance for practicing managers.
21
Table 2 past conceptualisations of organisational resilience
Conceptualisation, definition
Dimensions
Exemplary studies
Equilibrium vs. disequilibrium
time needed to restore prior
levels of service
(Meyer, 1982, p. 521)
“Resilience is the property of
the system and persistence or
probability of extinction is the
result” (Holling, 1973, p. 17)
Threat-rigidity (Staw et al., 1981)
Resilience or retention, adapting to
environmental jolts (Meyer, 1982)
Ecological perspective: pre-crisis
equilibrium versus multiple equilibria
(Holling, 1996)
Absorption of continuous change
(Riolli & Savicki, 2003)
(Castellacci, 2015; Coutu,
2002; Gilly et al., 2014; Gittell
et al., 2006, 2006; Holling,
1973; Meyer, 1982; Riolli &
Savicki, 2003; Sheffi & Rice,
2005; Staw et al., 1981; Vogus
& Sutcliffe, 2007)
Capability-based perspective
“The skill and the capacity to
be robust under conditions of
enormous stress and change”
(Coutu, 2002, p. 52)
“survive in, adapt to, bounce
back . . . often thrive”
(Ma et al., 2018, p. 253)
Absorption, adaptation, ambidexterity,
anticipation, continuous adaptation,
flexibility, dynamic capability,
entrepreneurial, experimentation,
sensemaking capabilities
A dynamic, ambidextrous capability
(Ingram & Bratnicka-Myśliwiec,
2019)
(Annarelli & Nonino, 2016;
Buliga et al., 2016; Coutu,
2002; Darkow, 2019; Duchek,
2020, 2014; Ingram &
Bratnicka-Myśliwiec, 2019;
Mamouni Limnios et al.,
2014; Manfield & Newey,
2018)
Cognitive perspective
“enables an organization to
notice, interpret, analyse, and
formulate responses in ways
that go beyond simply
surviving” (Lengnick-Hall &
Beck, 2005, p. 750)
Entrepreneur-overconfidence as
predictor of subsequent venture
success (Hayward et al., 2010)
Interpreting “uncertain situations
more creatively” (Lengnick-Hall &
Beck, 2005, pp. 750751)
Conscious of change and judge impact
(Hamel & Välikangas, 2003)
(Bhamra et al., 2011; L. J.
Branicki et al., 2018; Bullough
et al., 2014; Hamel &
Välikangas, 2003; Hayward et
al., 2010; Ingram & Bratnicka-
Myśliwiec, 2019; Korber &
McNaughton, 2018; Tikkanen
et al., 2005)
Resource-based perspective
“identification of relevant
resources and capabilities
that enable an organisation
to prepare for, and respond
to, extreme events” (Sullivan-
Taylor & Branicki, 2011, p.
5567)
Slack or redundancy, financial,
personal, social, family resources
Financial, physical, human and
organisational assets (Sullivan-Taylor
& Branicki, 2011, p. 5567)
Structural, cognitive, relational, and
emotional resources create capacity
(Richtnér & Löfsten, 2014, p. 140)
(Buliga et al., 2016; Gittell et
al., 2006; Hamel & Välikangas,
2003; M. K. Linnenluecke,
2017; Sheffi & Rice, 2005;
Sullivan-Taylor & Branicki,
2011; Sutcliffe & Vogus, 2003)
Resilience viewed as a
multidimensional concept
“resilience as firm attribute
that evolves in time” (Conz &
Magnani, 2020, p. 401)
“a multidimensional variable
consisting of psychological
and dispositional attributes,
such as competence, external
support systems, and
personal structure” (J. H. Lee
et al., 2013, p. 269)
Cognitive, behavioural, contextual
(Lengnick-Hall & Beck, 2005),
dynamic properties (Hamel &
Välikangas, 2003)
Business model innovation as
adaptability (Buliga et al., 2016)
Processual view on resilience across
different stages (M. K. Linnenluecke
et al., 2012; Sutcliffe & Vogus, 2003)
Temporal view: Proactive, absorptive
or adaptive, reactive, or dynamic
attribute (Conz & Magnani, 2020)
(Ambulkar et al., 2015; Buliga
et al., 2016; Conz & Magnani,
2020; Hamel & Välikangas,
2003; Lee et al., 2013;
Lengnick-Hall & Beck, 2005,
2009; Linnenluecke et al.,
2012; Sutcliffe & Vogus, 2003;
Teixeira & Werther, 2013)
22
Chapter 2: Reconceptualisation of resilience capacity
Introduction
The organisational resilience construct to date suffers from incoherent theoretical
conceptualisations, diverging definitions, measurements and operationalisations. Thus,
advancement in studying resilience in the business and management domain is hampered.
Through the analysis of prior works, one can identify ambiguity in construct definition,
antecedents and consequences of the construct, critical to stimulate progress in the field.
Advances in this research domain ought to be based on a solid construct definition, more
detailed and refined conceptualisation, transparent measurement and unambiguous
operationalisation of the construct, antecedents and consequences. To arrive at a firm
grounding, in definitional terms, one ought to explicitly consider the multi-faceted and multi-
dimensional nature of the focal construct. The conscientious scholar ought to scrutinise
resilience capacity, or RESCAP, by integrating a variety of angles and by making provisions for
a multifariousness of theoretical underpinnings of the construct.
Definition. Resilience capacity of the firm, RESCAP, is reconceptualised as the
capacity of a firm to recover from disruptions through the development and
deployment of sensing, exploring, seizing and transformative capabilities to
produce a dynamic capability of the firm.
The underlying conceptualisation maintains notions based on three aspects, below
referred to as first, recovery from disruption, second, the underlying dimensions or
capabilities and third, RESCAP as a dynamic capability.
First, RESCAP represents the capacity of a firm to recover from disruptions. Recovery in
this context refers to multiple aspects. Resiliency as such is seen as the latent outcome as a
measure of performance. Some authors describe resiliency as the ability to recover and
23
bounce back to prior levels of performance or equilibrium (Meyer, 1982; Sheffi & Rice, 2005;
Sutcliffe & Vogus, 2003), while other scholars emphasise the ability of the firm to emerge
more strengthened and resourceful in the process with references to new equilibria or new
and better levels of performance compared with levels prior to disruption (Annarelli &
Nonino, 2016; Sutcliffe & Vogus, 2003; Turgeon, 2019; Vogus & Sutcliffe, 2007). Another
perspective that scholars use to refer to recovery is such of the continuous adaptation to
environmental changes or disruptions (Ates & Bititci, 2011; Duchek, 2020; Hamel &
Välikangas, 2003; Ortiz‐de‐Mandojana & Bansal, 2016). Additionally, a different group of
scholars depict recovery as superior competitive advantage and the firm’s ability to thrive
despite disruption (Conz et al., 2017; J. H. Lee et al., 2013; Ma et al., 2018; Smallbone et al.,
2012; Teixeira & Werther, 2013).
Consequently, this paper employs a multi-dimensional view of recovery, in that
resiliency as an outcome does not merely connote ideas of bouncing back to prior levels of
performance. One ought to additionally consider notions of a more strengthened and
resourceful firm (Vogus & Sutcliffe, 2007), the continuous adaptation of the firm to
disruptions (Hamel & Välikangas, 2003) and the superior competitive advantage of the firm
(Teixeira & Werther, 2013). It seems obvious that recovery refers to the rebound of a firm to
previous levels of performance or equilibrium. Recent scholarship has however also
suggested an extension of this notion to a broader and more nuanced view of the various
dimensions of recovery. Following earlier conceptualisations, as summarised in table 2,
RESCAP essentially combines a set of capabilities to ensure both the firm surviving a
disruption and the firm thriving to ensure future competitive advantage during times of
adversity. The notion of future strength and future competitive advantage are an important
emphasis, often ambiguously conceptualised in earlier work. Therein lies a potential paradox:
24
a firm might survive disruptions with a focus on the deployment of cash reserves or other
slack resources (Teece, 2019). In that process however, the firm might not develop the
necessary capabilities to ensure future competitive advantage. Consequently, the firm might
ensure short-term survival, however medium- to long-term not be able to create and retain
sustained competitive advantage. For example, the COVID-19 pandemic that impacts firms
and supply chains around the world, does not simply put short-term strain on to firms through
dramatic reduction of demand (e.g., travel and hospitality sector), but also inflicts a potential
permanent shift in consumer behaviour. A company might survive the direct effects through
exploitation of current resources; however, it might not put emphasis on explorative
capabilities that allow firms to plan for an underlying change in consumer purchasing power
and customer behaviour. This paper views recovery as resilience measured as performance
outcomes, competitive advantage which leads to superior-performance and adaptation.
Second, the reconceptualised definition of RESCAP refers to four dimensions, each of
which represent capabilities that are both distinct from each other as well as combinative in
nature. Distinct insofar as those dimensions constitute clear and firmly established theoretical
constructs and combinative as those dimensions are theorised to not yield superior
performance outcomes on their own, but through a combination of such capabilities. RESCAP
is seen as the capacity to recover through the development and deployment of those
dimensions, positioning resilience as a measure of outcome of those underlying capabilities.
The definition above based on the analysis of prior conceptualisations leads to reason that
the dimensions of RESCAP are also combinative in nature. Combinative insofar as the
underlying capabilities build on each other to produce a dynamic capability of the firm that
enables resilience as a measure of superior performance outcomes. This is important as
earlier conceptualisations of the resilience construct stringently cluster the utilisation of
25
specific capabilities for example by a temporal dimension or stages (e.g. Conz & Magnani,
2020; Duchek, 2020). The below capabilities are not deployed in a constant manor
simultaneously, and thus a temporal clustering of RESCAP to some degree seems reasonable.
However, the capabilities necessary to survive a disruptive event and to emerge more
strengthened from such crisis can certainly be developed, deployed, optimised and
strengthened throughout, prior and post disruption in a non-linear way by moving back and
forth between different equilibria and stages of the disruption. The utilisation, development
and deployment of the numerous capabilities of course varies and can be contingent upon
the presence of disruptions and related dynamics.
The experiences that the firm, teams and individuals gather during a crisis will
subsequently impact the development pre- and deployment during the next disruption.
Disruptions in most cases cannot be unambiguously and unquestionably identified,
categorised and attended to as both opportunities and threats are in a constant state of flux
(Teece, 2007). As Teece (2007) notes “most emerging trajectories are hard to discern” (p.
1322). A firm understanding of opportunities and threats that can be easily recognised and
those that cannot be easily distinguished ought to be fostered to make provisions for the
ambiguity, variability and unpredictability of disruptions. Thus, the combinative, multi-
faceted and multi-dimensional nature of the RESCAP construct demands a level of analysis
which accounts for the dynamic, volatile, vulnerable and varied characteristics of disruptions.
Third, RESCAP is conceptualised to produce a dynamic capability of the firm. Prior
scholarship has extensively elaborated on the difference between capabilities and dynamic
capabilities (Teece et al., 1997; Zahra & George, 2002). The understanding of this
differentiation is important to form a coherent definitional basis in the discussion of RESCAP.
This paper essentially takes a dynamic capabilities perspective, where such capabilities “are
26
geared toward effecting organizational change” (Zahra & George, 2002, p. 188) and are
essential to response activation when firms face high impact disruptions (Burnard & Bhamra,
2011). Resilience capacity, seen as a dynamic capability of the firm, innately incorporates
capabilities that ensure both the short- and long-term recovery and survival of the firm, and
by doing so, contribute to building, fostering and protecting sustained competitive advantage,
in particular in times of disruption. While ordinary capabilities advocate a focus on “doing
things right” operationally (Teece, 2017, p. 696), dynamic capabilities focus on “doing the
right things” (p. 696) strategically (Teece, 2007, 2014b, 2017, 2019).
The reconceptualised view of RESCAP in table 3 assimilates prior definitions and
conceptualisations to form a sound basis for further empirical study. The conceptualisation
presented in this paper is neither ambiguous nor tautological. It is grounded in views
expressed in earlier work and in firmly established frameworks, subsuming ideas developed
over the last four decades of research, and by doing so, yielding a strong basis for further
empirical study.
27
Dimensions of RESCAP
Earlier work discussed the idiosyncratic nature of the capabilities (Eisenhardt & Martin,
2000) relevant to RESCAP. Although the variability of such idiosyncrasy creates some
downside for the firm, e.g. limited reproducibility across firms and sectors, it also creates
upside in that it enables the creation of sustained competitive advantage (Zahra & George,
2002), that is, by virtue, unique to the firm and therefore distinct from those of other firms
advantages. Central tenets of the dynamic capability theory are the distinctive characteristic
that allows such capabilities to engender rents and to form competitive advantage of the firm
(Dierickx & Cool, 1989; Teece, 2007; Teece et al., 1997). The quality of dynamic capabilities
stem from the replicability within the firm and the non-imitability of such capabilities by
competitors (Teece et al., 1997). While the firm aims at limiting imitability, it pursues
replicability across the organisation, which in part is contradictory in that the easier the
replication within the organisation, the easier the replication outside the firm.
The four capabilities outlined below sensing and exploring, seizing and transforming
present the four dimensions of RESCAP. The combination and the reconceptualisation of
these dimensions shed new light on the complex and dynamic nature of RESCAP.
Consequently, the reconceptualised view of RESCAP aims to solve the issues outlined above
and advance academic progress in this important and most relevant discussion. Importantly,
the reconceptualisation of RESCAP captures the multidimensional nature of the construct
where a firm has to simultaneously sense threats and explore opportunities as well as seize
and transform current and future assets. This multifaceted view is appropriate as it captures
the complexities and dynamics for a firm that is confronted with disruption.
28
Table 3 resilience capacity: main dimensions and capabilities, reconceptualised
Dimension,
capability
Related constructs
Role and importance
Exemplary studies
Sensing
(cognition)
Absorptive capacity
Assimilation
(managerial) Attention
Categorisation
(managerial) Cognition
Peripheral vision
Weak signals, meaning
o Classify disruption
o Direct managerial
attention
o Managerial cogni-
tion and decisions
o Sensing of (weak)
signals
(Burnard & Bhamra, 2011; Coutu,
2002; Granovetter, 1973; Haeckel,
2004; Lengnick-Hall & Beck, 2009;
M. K. Linnenluecke et al., 2012;
Ocasio, 1997, 2011; Stubbart, 1989;
Teece, 2007; Tisch & Galbreath,
2018; Vogus & Sutcliffe, 2007;
Weick, 1993; Zahra & George, 2002)
Exploring
(opportunity
seeking)
Business model
Experimentation
(anticipatory) Innovation
Parallel play
Pivot, Reinvention
Real options
Strategic choice
Variance increasing
o Future, long-term
competitiveness
o Innovation
o Opportunity
seeking
o Risk taking
o Strengthen the
future firm
(Buliga et al., 2016; Donnellan et al.,
2007; Gilly et al., 2014; Hamel &
Välikangas, 2003; Herbane, 2019;
Kantur & Iseri-Say, 2012; Kirtley &
O’Mahony, 2020; Lampel et al.,
2014; M. K. Linnenluecke, 2017;
March, 1991; R. McDonald & Gao,
2019; Teixeira & Werther, 2013; van
der Vegt et al., 2015)
Seizing
(asset
efficiency)
Agility
Asset efficiency
Diffusion of knowledge
Implementation
Short-term survival
Seize opportunities
Variance decreasing
o Flexible and
efficient deploy-
ment of resources
and capabilities
o Short-term and
survival
o Seize opportunities
(Clément & Rivera, 2017; Duchek,
2020; Ingram & Bratnicka-Myśliwiec,
2019; Mamouni Limnios et al., 2014;
McDonald & Eisenhardt, 2019; Ortiz‐
de‐Mandojana & Bansal, 2016;
Rhodes & Stelter, 2009; Uotila et al.,
2009; Vogus & Sutcliffe, 2007)
Transforming
(asset re-
distribution)
Ambidexterity
Diversification
Reduction of uncertainty
Re-organisation
Resource re-allocation
Risk reduction
Strategic flexibility
o Balancing
exploitation and
exploration
o Expansion
o New equilibrium
o Risk mitigation
o Shareholder value
(Amit & Livnat, 1988; Ansoff, 1958;
Collier, 2018; Coutu, 2002; Farjoun,
1998; George, 2005; Goetzmann &
Kumar, 2008; Jorion, 1985; Lu &
Beamish, 2004; R. McDonald & Gao,
2019; Neffke & Henning, 2013;
O’Reilly III & Tushman, 2008, 2011,
2013; Porter, 1996; Rumelt, 1982)
29
Sensing
Stemming from the capability and cognitive perspectives of earlier work (e.g. Haeckel,
2004; Teece, 2007), this conceptualisation views sensing as the firm’s ability to detect,
categorise and make sense of (weak) signals in the environment through channelling of
managerial attention, peripheral vision and through fostering managerial cognition patterns.
Some firms have developed the ability to advance and deploy superior sensing capabilities
that enable detection of environmental dynamics and potential disruptions earlier than their
peers. Haeckel (2004) emphasises the importance of the sensing capability by noting that
expanding an organisation’s peripheral vision . . . will make meaning out of apparent noise”
(p. 181) enabling firms to do business in disruptive times. The quality and strength of the
sensing capability, both macro- and micro-environmentally, determines whether a firm
detects a disruption at which stage. As Paul Schoemaker and George Day provoke [w]hy did
so many smart people miss the signs of the collapse of the subprime market?(Schoemaker
& Day, 2009, p. 81). Their answer is that sensing capabilities are limited or stimulated by
individual and organisational biases (Schoemaker & Day, 2009). Biases which may, to a great
extent, impede organisational sensing and thus cause a delay in detecting a shift of dynamics
and upcoming disruptions in the environment of the firm (Shimizu & Hitt, 2004).
Scholars ought to entertain a multi-level view of sensing as one of the foundations of
RESCAP. Multi-level insofar as one ought to consider that sensing without sense-making, that
is to produce meaning important to managerial action (Schoemaker & Day, 2009), might
mislead managerial decision making in firms. Inference to the ability to transform (weak)
signals into meaning, useful and actionable for the decision making processes, ought to be
made (Haeckel, 2004). Thus, the sensing dimension within the resilience capacity framework
can intuitively be viewed as a combination of earlier capability-based and cognitive
30
perspectives, to form the cognitive dimension of RESCAP. As outlined in table 3, the sensing
dimension of RESCAP integrates the abilities of the firm to sense and make sense, to channel
managerial attention and categorise disruptions appropriately, and to expand peripheral
vision. The sensing dimension enables the firm to detect signals, by doing so, firms can
increase the probability of early signal detection of disruptive events and consequently more
quickly formulate the appropriate responses. While the sensing dimension of RESCAP includes
notions of sensing both opportunities and threats in the market (Teece, 2007), it is the
inherently entrepreneurial exploring dimension of RESCAP that specifically focusses on the
discovery, assessment of and experimentation with opportunities. The exploration dimension
extends the sensing capability to explicitly include the active, purposeful and entrepreneurial
opportunity seeking capabilities of the firm.
Exploring
While firms that are confronted by disruption intuitively prioritise survival of the firm
over other goals, such firms ought to also employ a range of explorative capabilities,
entrepreneurial in nature. Grounded in a set of diverse perspectives epitomised in table 2,
the exploration dimension describes a firms’ capability of increasing variance, discovery,
search (March, 1991; Uotila et al., 2009) through activities such as experimentation,
innovation, reinvention, increase strategic variance, pivoting, parallel play and the utilisation
of real options. As noted by March (1991, p. 85) “the essence of exploration is
experimentation with new alternatives”. The exploration dimension of RESCAP can therefore
essentially be seen as an inventory of organisational routines of active, purposeful and
entrepreneurial opportunity seeking. The assumption therefore is, that during periods of high
volatility or intense disruption firms do not just sense signals of threats but do also discover,
evaluate and assess opportunities.
31
Consequently, a reconceptualisation of the resilience capacity framework ought to
account for processes and abilities such as business model innovation (Buliga et al., 2016; Ma
et al., 2018), anticipatory innovation (Annarelli & Nonino, 2016; Teixeira & Werther, 2013),
parallel play (McDonald & Eisenhardt, 2019) and pivot (McDonald & Gao, 2019). The above-
mentioned processes and routines enable firms to both explore opportunities to bounce back
from disruption (Sheffi & Rice, 2005; Sutcliffe & Vogus, 2003) as well as to thrive during times
of disruption (Ma et al., 2018). Further attention ought to be drawn to the opportunities that
a downturn brings (Rhodes & Stelter, 2009) as disruptions seem to bring opportunities alike.
For example, a disruption might impact customer purchasing behaviour for a particular
sector, e.g., retail, and thus severely impact short-term financial fundamentals. The same
disruption, however, might also bring opportunities through medium-term changes to
consumer behaviour, e.g., a shift to online shopping, through which companies can create
new competitive advantages by more appropriately or more profitably serving these
customers. The quality of the exploration dimension is a function of how well a firm is able to
allocate appropriate resource to exploration activities and the opportunities discovered. The
more attention and other resources a firm is able to grant its managers for opportunity
seeking and experimentation during a crisis, the more favourable opportunities will be
discovered and more likely a positive impact on the change of competitive advantage of the
firm can be observed.
The dynamic capability based reconceptualisation of RESCAP proposes the addition of
the explorative dimension as a distinct dimension of RESCAP and thus can also be seen as an
extension to the dynamic capability framework. Teece (2007, 2014b, 2019) outlined the three
distinct dimensions of dynamic capabilities as sensing, seizing and transforming, to which the
inherently entrepreneurial exploration dimension would be an addition.
32
Seizing
At the core of the seizing dimension, the notion of increasing asset efficiency drives
managerial action. Following earlier conceptualisations seizing refers to increasing efficiency
and improving short-term adaptation of the firm (He & Wong, 2004; March, 1991; Uotila et
al., 2009). Stemming from earlier perspectives of resource-based views and capability views,
the seizing dimension operationalises notions of implementation and efficiency increases
within RESCAP. Firms that are dealing with disruptions seem to be bound to increase
efficiency of resources, processes and operations while upholding customer-satisficing quality
levels. At the core of the seizing dimension of RESCAP, the focus on increasing asset efficiency
centres around agility, diffusion of knowledge, implementation of strategic choices and
options, implementation and realisation of opportunities as well as short-term survival and
variance decreasing actions taken by the firm.
In his paper on organisational learning, March (1991) relates activities such as choice,
implementation and efficiency to a notion of reduction in variability. A reduction of variability
through a focus on exploitative activities is argued to lead to a decrease in performance
variability in thus an increase in performance reliability (March, 1991). Thus, a focus on
efficiency within the seizing dimension of RESCAP seems salient. Capabilities subsumed under
the seizing dimension enable the firm to reduce uncertainty, to increase efficiency of existing
assets and to implement strategic choices, particularly important during times of disruption.
As mentioned above, activities of seizing are essential, in particular when firms face
disruptions that force increased focus on cashflow and working capital optimisation (Rhodes
& Stelter, 2009). Therein lies a managerial paradox: there is a high level of complexity within
the relationship between exploration activities, focussing on opportunity seeking, and seizing
activities, focussing on asset efficiency (Uotila et al., 2009). Notions whereby firms ought to
33
foster capabilities that enable a concurrent focus on exploration and seizing, i.e.
ambidexterity, are not new to research or practise. However, the role of ambidexterity within
the context discussed here, seems immaturely examined in prior literature. How are firms
able to satisfy both, the necessity of exploration and seizing capabilities? How can firms
optimise their cashflow and working capital to satisfy demands of efficiency and decrease in
variability while pursuing explorative activities that allow the firm to acquire additional
strategic options?
A balanced view of exploration and seizing is, according to March (1991, p. 71), essential
to [firm]-survival. A complex relationship of exploration and seizing capabilities was noted in
prior works (Gupta et al., 2006; March, 1991; Uotila et al., 2009). Complex insofar as
explorative activities in some instances seem to precede sensing activities, i.e.
implementation inherently seems to be preceded by the identification, evaluation and
decision of strategic choices, and in some instances this seems misguided. Complex also refers
to the inability of both exploration and seizing to yield impactful contributions to superior
performance autonomously (Gupta et al., 2006; March, 1991). . . . maintaining an
appropriate balance between exploration and exploitation is a primary factor in system
survival and prosperity” (March, 1991, p. 71).
Transforming
At the centre of the transformative dimension of RESCAP, the focus lies on asset re-
distribution, entailing notions of re-organisation (Keats & Hitt, 1988), ambidexterity (O’Reilly
III & Tushman, 2013), diversification (Amit & Livnat, 1988), risk reduction and the reduction
in uncertainty (Keats & Hitt, 1988). The transformative dimension essentially takes a strategic
flexibility (Hitt et al., 1998; Sanchez, 1995) view of RESCAP, which has broadly been described
as “firm abilities to respond to various demands from dynamic competitive environments”
34
(Sanchez, 1995, p. 142). Such flexibility is made explicit through “continuous changes in
current strategic actions, asset deployment, and investment strategies” (Nadkarni &
Narayanan, 2007, p. 245). The notion of transformative capability within RESCAP ought to
include a balancing view of both exploration and seizing activities of the firm, i.e.
ambidexterity (Iborra et al., 2020; O’Reilly III & Tushman, 2013). A balance that seems to be
of potentially greater importance when a firm faces disruptions, during times when firms
ought to satisfy utility functions of a diverse set of stakeholders and goals of the firm
concurrently, while under pressure for firm survival (Cruickshank, 2020; Mamouni Limnios et
al., 2014). A balance that is further expressed through a focus on appraising both the increase
and decrease of variability (March, 1991).
Additional focus ought to be granted to the notion of diversification, that is product-,
portfolio- or geographical diversification, i.e. internationalisation, of the firm (Amit & Livnat,
1988; Ansoff, 1958; Delios & Beamish, 1999; Lu & Beamish, 2004). Apart from the ambition
to appropriate additional rents through a more diversified firm portfolio, the arguably most
important aim of firms’ diversification activities in the context of disruptions is risk mitigation
(Amit & Livnat, 1988; Ansoff, 1958; Rugman, 1976). That is, mitigation through means of
dispersion among the various business units, companies, regions, product and customer
segments of the firm. Through diversification, firms expand their portfolio and are able to
actively manage better or worse performing units within the same business to absorb the
impact of disruptions. Moreover, the practicing manager will aim for a decrease in portfolio
exposure to ensure reduction of risk.
Conversely, with instability being a dominant environmental factor, firms might retreat
to simpler organisational forms to reduce uncertainty (Keats & Hitt, 1988). Consequently, one
must consider both, the reduction of risk and the reduction of uncertainty as important
35
building blocks of the transformative capability of the firm, the focus on which is contingent
upon environmental conditions. Firms do however also need to exercise caution in prioritising
risk and uncertainty reduction over diversification. Bourgeois III (1980, 1985) notes that risk
reduction runs counter to opportunity discovery and enactment. That is, a firm ought to
deliberately manage risk where a higher level of risk is acceptable based on a higher expected
probability of increased returns (Bowman, 1982). The essence of the transformative
dimension of RESCAP therefore is the re-allocation of assets in accordance with risk,
uncertainty reduction and opportunity enactment.
The quality of the transformative dimension of RESCAP is a function of speed and
efficacy of asset re-distribution or realisation of appropriate strategic options as noted within
the strategic flexibility view (Hitt et al., 1998; Nadkarni & Narayanan, 2007). The speed of
transformation is contingent upon the accuracy of information, which in turn is determined
by the sensing and exploration dimensions of RESCAP: the faster and more accurately a firm
senses and makes sense of a disruption and the faster a firm identifies alternative paths and
strategic choices, the faster a firm is able to re-distribute assets accordingly.
36
Potential and realised RESCAP
The reconceptualised model of RESCAP assumes that a firm is able to build potential
and realised RESCAP. That is, a firm may develop the potential through sensing and exploring
capabilities and may realise such potential through seizing and transforming.
Potential RESCAP enables the firm to sense and make sense of signals and seek
opportunities in a dynamic and volatile environment, and thus widens or narrows the scope
of search. Potential RESCAP represents a subset of RESCAP capabilities: sensing and exploring.
A combination that essentially enables the firm to sense and make sense of (weak) signals
(Haeckel, 2004; Schoemaker & Day, 2009) on the one hand, while enabling the firm to seek
and qualify new opportunities on the other hand (Gupta et al., 2006; Uotila et al., 2009).
Neither of the two concepts, sensing nor exploring, are primarily focussed on
implementation. Both are however focussed on the firms’ ability to detect disruptions early
as well as discover strategic options to increase variability necessary for short- and long-term
firm survival (March, 1991). Potential RESCAP represent the firms’ capabilities to detect
signals in the environment of the firm and to explore and qualify options for managerial
action. Additionally, the sensing and exploring dimensions ought to be viewed from a multi-
level perspective: sensing can be done for both short-term and long-term threats For
example, the impact of extreme weather events yield disruptions that impact the firm in the
short-term, while the impact of a global health crisis on consumer behaviour can be seen as
rather long-term disruption. Thus, a more nuanced view of the sensing and exploring
dimension individually as well as combinative as potential RESCAP seems appropriate.
Realised RESCAP as the second subset of RESCAP, focusses on the enactment of
managerial action and opportunities as well as transformative re-organisation. As such,
realised RESCAP incorporates notions of asset efficiency and asset re-distribution. Contrary
37
to potential RESCAP, realised RESCAP lays the focus on efficiency increases and variance
decreases (March, 1991). The realised RESCAP subset represents the firms’ capacity to
implement opportunities explored, to make changes to firm structure and that lead to
increased asset efficiency and effectiveness. Realised RESCAP further refers to changes in
asset allocation, for example changes in investment planning and execution, and asset
efficiency and structural changes to the organisation that enable appropriate response
formulation to changing environmental dynamics. Realised RESCAP thus focusses on the
enactment of managerial action and opportunities, that is increasing variance as well as
reducing risk and uncertainty through diversification.
Relationship among both, potential and realised RESCAP. Neither of the two subsets,
potential and realised RESCAP, is capable to yield resilient outcomes measured as superior
performance of the firm during disruptive times, independently. Further, neither one of the
two subsets with RESCAP independently function within, in that sensing and exploring are as
intricately linked with one another as are the seizing and transforming capabilities. While the
exploration capabilities are also somewhat contingent upon the quality and speed of the
sensing function, the increase in asset efficiency also impacts the transformative capability.
Temporal dependencies, for example an opportunity may have to be explored first
before it can be implemented, and other relations within RESCAP have to be conceptualised.
While a high level of potential RESCAP amounts to the potential for better firm performance,
it indeed does not guarantee such. Likewise, potential RESCAP is necessary but insufficient if
the realisation of the potential RESCAP cannot be guaranteed. Firms that sense signals and
explore opportunities but lack the seizing and transforming capacity to realise those
potentials are arguably less successful, similar to firms that show high levels of realised
RESCAP without the appropriate focus on the creation of potential RESCAP.
39
Antecedents
Antecedents to the capabilities that form RESCAP, primarily relate to disruption-specific
attributes. While on the one hand prior scholarship has used a myriad of diverse and
heterogeneous descriptions of what constitutes a disruption, other work on the other hand
simply lacks clear and unambiguous definitions of the environmental conditions that
constitute disruptive periods. Extant works investigated the impact of a multitude of events
on firms, for example firm-external disruptions such as the impact of extreme weather events
or climate change (Ingirige et al., 2008; M. K. Linnenluecke et al., 2012; Tisch & Galbreath,
2018) and supply chain disruptions (Sheffi & Rice, 2005). Scholars have also investigated
disruptions caused by accelerated change (Teixeira & Werther, 2013) resulting in
technological discontinuities, geopolitical turbulence, changing consumer behavioural trends
and an influx of non-traditional competitors (Hamel & Välikangas, 2003), while other works
examined disruption caused by firm-internal events such as failures in high-reliability
organisations (Gifun & Karydas, 2010).
Scholars have used a variety of terms to describe disruptions. Examples of which include
environmental jolts (Meyer, 1982), adversity (Staw et al., 1981), failures (Bruneau et al.,
2003), disaster and system disturbances (Gifun & Karydas, 2010; Mamouni Limnios et al.,
2014; Weick, 1993), shocks (Mzid, 2017), adverse events (van der Vegt et al., 2015),
discontinuities and disruptions (Burnard & Bhamra, 2011), threatening and stressful external
event (Iborra et al., 2020), downturn and economic crisis (Rhodes & Stelter, 2009),
discontinuous change (Birkinshaw et al., 2016; Teixeira & Werther, 2013), turbulent
environment (Ates & Bititci, 2011) and volatile environments (Bourgeois III, 1985). While the
nomenclature outlined above has been used to describe an event or a period of time, most
definitions remain ambiguous and lack greater levels of detail. Additionally, other scholars
40
have altogether refrained from explicit definitions of what triggers volatile dynamics that lead
to shifts in equilibria. The ambiguity and lack of clarity in defining what constitutes disruptive
times, how it can be delineated from other notions such as typical competition and what shall
be included in this construct, brings additional difficulty to the discourse on RESCAP. To
facilitate progress in the field, an explicit definition of the phenomena ought to be
established.
A disruptive environment can be induced by dynamics either endogenous or exogenous
to the firm, or a combination of both. Furthermore, it might be too simplistic to assume that
only catastrophes and short-term impacts warrant the description of disruption. Consider the
case of the global health crisis started in 2019. There certainly is short-term impact visible,
but there also are dynamics that by the end of 2020 still have not passed and hence continue
to disrupt entire industries and sectors. Exogenous disruptions have been widely discussed in
the literature, for example extreme weather events (M. K. Linnenluecke et al., 2012),
environmental jolts (Meyer, 1982) or industry revolutions (Meyer et al., 1990). Such
disruptions stem from outside of the firm boundaries and in most cases affect a larger group
of firms, thus greater prevalence. Endogenous disruptions emanate for a variety of reasons,
such as operational accidents in firm daily operations or staff-strikes.
Environmental conditions play an important role in the organisational adaptation
literature. Earlier scholarship established the importance of firms’ adaptive capabilities, in
that high performing firms may more likely engage in adaptation activities and thus remain
high performers over time (Keats & Hitt, 1988; Romanelli, 1991; Romanelli & Tushman, 1986).
A number of scholars have brought clarity to the firm-environment relation and the impact
of environmental conditions (Bourgeois III, 1980; Bourgeois III et al., 1978; Hitt et al., 1998;
41
Keats & Hitt, 1988; Romanelli & Tushman, 1986) through the definition of environmental
conditions and their impact on firm and market performance.
Following earlier work (Dess & Beard, 1984; Keats & Hitt, 1988; Pfeffer & Salancik,
1978), this paper adopts a multi-dimensional view of the firm-environment: munificence,
instability and complexity (Keats & Hitt, 1988, pp. 578579). Munificence, or environmental
capacity, describes “the availability of environmental resources to support growth” (Keats &
Hitt, 1988, p. 578), that is this dimension should therefore reflect industry growth. Instability,
or dynamism, reflect discontinuities in the focal industry in that this factor serve as an
indicator of volatility (Dess & Beard, 1984; Keats & Hitt, 1988). Instable environmental
conditions should not “reflect steady growth or predictable cyclicality” (Keats & Hitt, 1988, p.
579). Complexity refers to the structure of task-environment elements implied through
dynamic industry concentration (Grossack, 1965). The variety, distribution and number of
those elements is argued to affect the firms’ ability to acquire and process information, thus
industry concentration, i.e. monopolistic structure versus dispersed power structure or start-
up firms entering the market versus established firms, serves as an indicator for the
complexity that firms face in their task environment in that the more monopolistic the
industry-structure, the less complex it seems (Keats & Hitt, 1988).
While all three variables are a suitable description of the environmental conditional
factors that allow for an accurate account of the current environmental circumstances, the
primary focus lies with the instability dimension as it appears to be a direct indicator of
disruptive periods. This paper argues that in highly volatile markets firms ought to develop
and deploy resilience capabilities that allow them to adapt and reconfigure their asset base
to adapt to changing environmental conditions. Further, the very nature of dynamic
capabilities lends support to the notion that possibilities to learn, practise and repeat, such
42
as a disruptive environment, enable the development of capabilities (Teece et al., 1997). As
noted by Teece et al. (1997), “learning is a process by which repetition and experimentation
enable tasks to be performed better and quicker” (p. 520). Following the concept of the
capability lifecycle (Helfat & Peteraf, 2003) and the strategic aspects of capabilities (Teece et
al., 1997), it can be argued that disruptions or disruptive periods provide cause, i.e. a common
objective to be achieved (Helfat & Peteraf, 2003) and opportunity, i.e. to learn, repeat and
improve (Teece, 2019), for the firm to build and improve dynamic capabilities. Particularly in
disruptive times, dynamic capabilities are geared towards sensing, exploring and seizing
opportunities, current and future assets as well as (re-)distributing assets through
transformative action.
To answer the fundamental question, what constitutes a disruption, this paper
consequently defines the term disruption as disruptive and volatile environmental conditions
that impact firm operating performance and force the firm to adapt to the changing dynamics
and environmental conditions.
Definition. This paper defines disruptive times described by instable environments
characterised by high levels of volatility and unpredictable discontinuities induced
by dynamics and events exogenous or endogenous to the firm that have a
significant impact on firm operating performance.
Earlier scholarship views discontinuous change in opposition to incremental and
continuous change as disruptive dynamics that force firms to adapt and transform their
organisation, processes and assets (Birkinshaw et al., 2016; Meyer et al., 1990; Prahalad &
Hamel, 1994; van Notten et al., 2005).
Following the theory of dynamic capabilities, it can be assumed that disruptions will
have a positive impact on the development of potential RESCAP in that the firm is provided
43
with the opportunity to hone, learn, repeat and improve a dynamic capability that enables
flexibility and adaptability of the firm to new environmental conditions. A firm will therefore
better be able to sense threats and explore opportunities, important for the firm to develop
and retain competitive advantage as a consequence.
Proposition 1a
2
: the more instable the environment (volatile, disruptive,
turbulent), the more likely the firm will engage in the development of potential
RESCAP capabilities.
While the instability of the environment is a suitable indicator for the overall
environmental conditions at a point in time, Rudolph & Repenning (2002) argue that an over-
accumulation of less-intense disruptions may also lead to an overall increased instability and
hence volatility in the environment over time. While the firm will arguably be able to cope
with instable environments of less intensity, that are spread across a longer period of time,
the over-accumulation of such instable environmental conditions within a period time will
lead to the development of potential RESCAP.
Proposition 1b: the higher the number of disruptions over time, albeit less-
intense volatile environments, the more likely the firm will engage in the
development of potential RESCAP over time.
2
A summary of all propositions developed in Chapter 2 can be found in Appendix C
44
Moderators
To form a more nuanced and refined understanding of RESCAP, one ought to consider
moderating effects of various attributes and characteristics on the relationships between
antecedents, RESCAP and resilience outcomes as well as among potential and realised
RESCAP. The moderating effects will subsequently be clustered in three distinct groups:
amplifying, integrating and leveraging (where the factors subsumed under leveraging will in
logical order be developed after the section on outcomes below).
Amplifying (moderates)
As outlined above, the relationship between antecedents and the development of
potential RESCAP is a complex connection. Complex, that is there are multiple variables that
influence the relationship between antecedent variables and the development of potential
RESCAP.
Amplifying describes factors that influence the relationship between disruption-specific
attributes and the development of potential RESCAP. The amplifying function of prior
experience of the firm, team, individual or even region and country on the impact of
disruptions can be of great significance for the impact on the development of potential
RESCAP (Collier, 2018; Linnenluecke et al., 2012; Sullivan-Taylor & Wilson, 2009). It is through
experience with prior disruptions that learnings from such experiences can be generated. In
their study of the impact of terrorist attacks on the British travel and leisure organisations,
Sullivan-Taylor & Wilson (2009) assert that prior experiences better enable firms to classify
threats and to prioritise such. By drawing from learnings and prior experiences (Bigelow,
1992), the positive impact of disruptions on the cognitive dimension of potential RESCAP can
be amplified. Prior experience ultimately improves adaptability, in that more experienced
firms are more likely to avoid extremes, being overly cautious as well as being extremely
45
confident about what is known of the current situation and possible solutions (Weick, 1993).
While prior experiences are essential, it is the learning that is generated from those past
experiences that leads to more informed decision making (Bigelow, 1992; Lengnick-Hall &
Beck, 2009; Weick, 1993). As Lengnick-Hall & Beck (2009) argue, more experienced firms are
better able to sense and accept the true reality while questioning fundamental assumptions
that might have shifted. Therefore, higher levels of prior experience are more likely to amplify
the positive impact of disruptions on the development of the cognitive dimension of potential
RESCAP.
Proposition 2a: the higher the level of prior experience, the more the positive
relationship between disruption and the development of sensing capabilities will
be amplified.
Slack resources accumulated in times of growth (George, 2005) will more likely allow
the firm to amplify the positive impact of a disruption (Hamel & Välikangas, 2003) on the
development of potential RESCAP. As defined by George (2005) [s]lack is potentially
utilizable resources that can be diverted or redeployed for the achievement of organizational
goals” (p. 661). While resource slack is a multi-faceted construct (Bourgeois, 1981), in the
context of disruptions slack can be argued to have an effect on the development of potential
RESCAP, in particular on the exploration dimension of RESCAP. Basing their research in the
entrepreneurial setting, Manfield & Newey (2018) argue that variability is key for firms
responding to disruptions. Such increases in variability relates to explorative capabilities, such
as innovation, experimentation and pivoting. Prior research has established the positive
impact of slack resources on innovative capabilities (Chattopadhyay et al., 2001; Nohria &
Gulati, 1996). However, arguments expressed in more recent literature hold a more critical
view of slack resources. While excess resources can be seen as inefficient and undesirable in
46
relatively stable environments (Linnenluecke & Griffiths, 2010), this does not hold in turbulent
environments where slack is essential to variance increasing activities. Notwithstanding the
above, the managerial paradox of building and reducing slack resources remains an important
puzzle to solve. In particular, higher slack resource levels were argued to produce a negative
effect, where firms with much larger resource bases are assumed to show behaviours of
complacency and irrationality (George, 2005). Thus, a non-linear moderating effect is
expected.
Proposition 2b: low levels of slack amplify the positive relationship between
disruption and the development of opportunity seeking capabilities while high
levels of slack impede the positive impact of disruption on the development of
opportunity seeking capabilities.
Following earlier conceptualisations, top management team (TMT) attention is
described as the orientation of the TMT to what issues, category or bundles of stimuli
managers focus their attention on (Cho & Hambrick, 2006; Ocasio, 1997). Attention
orientation thus is “the degree of attention paid to some category of stimuli” (Cho &
Hambrick, 2006, p. 455). As limits to what degree attention can be focussed on sectors exist
and limit managerial attention (Cho & Hambrick, 2006), the orientation of such attention is
even more critical in disruptive times, where attention hitherto is strained. Earlier work for
example elaborated on the relative attention orientation of the CEO to scanning when faced
with higher levels of uncertainty (Daft & Weick, 1984; Garg et al., 2003). Higher relative
orientation of TMT attention towards scanning activities can thus be assumed to be important
during times of disruption for the development of the cognitive dimension of RESCAP.
Additionally, as levels of attention permit, focus on auxiliary categories such as an orientation
47
towards explorative activities will enhance the development of the explorative dimension of
RESCAP.
Proposition 2c: the higher the TMT attention orientation on sensing activities, the
more the positive relationship between disruptions and sensing will be amplified.
Proposition 2d: the higher the TMT attention orientation on explorative
activities, the more the positive relationship between disruptions and exploring
will be amplified.
Integrating (moderates)
The relationship between potential and realised RESCAP has been discussed above. The
reconceptualised view of RESCAP however holds a number of factors that impede or foster
the realisation of potential RESCAP. That is, while a firm might possess high levels of potential
RESCAP, the firm might not automatically realise this potential when faced with a disruption.
Integrating factors can therefore be characterised as notions that either promote or hinder
the realisation of potential RESCAP, thus playing a vital role in fostering resilient firm
outcomes.
While diversification forms an integral part of the transformative dimension of RESCAP,
coherence within the firm plays an important role in the relationship between potential and
realised RESCAP. Corporate coherence, described as within-firm logic that fosters parts of the
business to support and reinforce each other (Hambrick, 1997; Piscitello, 2004; Teece et al.,
1994), is of particular importance to diversification and strategic action. Teece et al. (1994)
view coherence as “a measure of relatedness” (p. 3), where higher levels of coherence among
different parts of the firm is due to a common set of characteristics that various units of the
firm adhere to. Coherence can further be detailed as the consistency of strategic choices
across business and functional levels of strategy” (Nath & Sudharshan, 1994, p. 43). More
48
recently, Piscitello (2004) expanded earlier views to define corporate coherence as
“interconnectedness between the companies’ technological competencies and their
downstream activities” (p. 775). It can thus be argued that more coherent firms more quickly
turn actionable insights from the sensing and exploring capabilities into realised RESCAP
across the portfolio of competencies and activities.
Proposition 3a: the higher the level of corporate coherence, the better the focal
firm can realise the potential RESCAP.
Attributes of the firm, such as size, play an important role in the relationship between
potential and realised RESCAP. Firm size has long been a focal variable in the study of
diversification strategies (Keats & Hitt, 1988), where it is argued that the bigger the firm the
more diversification is aimed at reducing risk (Rugman, 1976). Firm size, however, can be seen
as more than a promoter of diversification and risk reduction strategies. Defined as total
assets of the firm (Hall & Weiss, 1967), larger firm size presumes larger financial resources
which allow the firm to promote diversification important to risk mitigation and possess larger
asset bases. Larger firms are also argued to be better positioned to “duplicate their structures,
diversify their supply chains, increase their insurance coverages or using them for
experimentation” (Iborra et al., 2020, p. 2). In the relationship between potential and realised
RESCAP, firm size enhances a firms’ capabilities to realise the potential RESCAP through
superior resource allocation possibilities and adaptability. Sullivan-Taylor & Branicki (2011)
show results of their case study research with SMEs where comparably smaller firms
experience inferior results relative to identification of threats, the prioritisation and the (re-)
distribution of assets. The notion that larger firms have greater financial resources at their
disposal, also leads to reason that such greater resources enable firms to better exploit their
49
assets to increase efficiency and better re-distribute assets. Thus, larger firm size is argued to
have a promoting effect on the positive relationship between potential and realised RESCAP.
Proposition 3b: the larger the firm, the more resources a firm can deploy and
redistribute and thus the better, quicker and more efficiently the firm can realise
its potential RESCAP.
Organisational flexibility, defined as specific firm capabilities that allow firms to adapt
swiftly and aptly to shifting environments (Hatum & Pettigrew, 2006; Krijnen, 1979; Teece et
al., 1997; Volberda, 1997), plays a particularly important role in the realisation of potential
RESCAP. Earlier work views organisational flexibility was coined by two dimensions (Hatum &
Pettigrew, 2006; Volberda, 1997), one through flexible organisational design (Ackoff, 1977;
Foss, 2003) and two through new managerial capabilities (Bahrami, 1992; Calori et al., 2000;
Volberda, 1997). In contrast to earlier selection perspectives, where organisations are
assumed to dying to make way for new organisations, Volberda (1997, p. 182) argues, that
firms with higher levels of organisational flexibility tend to be more successful. In particular
during times of disruptive changes as they are able to adapt over time to avoid extinction. It
can be argued that the higher the level of flexibility within the flexibility mix, the better the
firm is able to increase asset efficiency and re-distribute assets to realise its potential RESCAP.
Prior scholarship has defined the flexibility mix in three dimensions, operational, structural
and strategic flexibility (Volberda, 1997). Firms that are capable of swiftly and efficiently
change for example product portfolios and manage external labour (operational flexibility)
are assumed to better be able to increase asset efficiency of the firm. Focussed on the
renewal or transformation of existing processes (Krijnen, 1979), structural flexibility is
achieved through adaptation of internal and external firm structures. Increasing structural
flexibility is expressed through changes in organisational design such as amended reporting
50
structures, business unit structures, profit and loss responsibilities. Strategic flexibility is
concerned with the changes of corporate policy of the firm (Krijnen, 1979; Volberda, 1997).
The latter represents the most significant flexibility dimension as it aims at the very core of
firm policy, developing and enacting alternative courses of action (Sanchez, 1995).
Proposition 3c: the higher the level of organisational flexibility, the better the
focal firm can adapt processes, structures and strategy to better realise potential
RESCAP.
Table 4 moderators: amplifying, integrating and leveraging
Moderators
Constructs
Role
Exemplary studies
Amplifying
Prior experience
Slack resources
TMT attention orientation
Amplifying the positive
impact of disruption on
the development of
potential RESCAP
(George, 2005;
Epaminondas Koronis &
Ponis, 2018; Sullivan-
Taylor & Wilson, 2009)
Integrating
Corporate coherence
Firm size
Organisational flexibility
Increasing the efficacy of
the realisation of potential
RESCAP
(Hatum & Pettigrew, 2006;
M. K. Linnenluecke, 2017;
Nath & Sudharshan, 1994)
Leveraging
Industry clockspeed
Industry innovativeness
Institutional support
Leveraging institutional
support and industry
characteristics to amplify
the impact of RESCAP on
resilience outcomes
(Acs & Audretsch, 1988;
Dolfsma & Velde, 2014;
Finchelstein, 2017;
Nadkarni & Narayanan,
2007; Nuruzzaman et al.,
2020; Williamson, 1981)
Table 5 resilience outcomes
Outcome
Operationalised as
Achieved through
Exemplary studies
Performance
reversion
external
A reversion of firm-
performance relative
to pre-disruption levels
and the competition
Potential RESCAP
sense & explore
(Barney, 1991; Conz et al.,
2017; Newbert, 2008;
Teece et al., 1997; Teixeira
& Werther, 2013)
Adaptation
internal
Changes in business
model, firm structure,
diversification, risk and
uncertainty reduction
Realised RESCAP
seize &transform
(Ates & Bititci, 2011;
Hamel & Välikangas, 2003;
Epaminondas Koronis &
Ponis, 2018; Ortiz‐de‐
Mandojana & Bansal,
2016)
51
Outcomes
Although differential conceptualisations were employed in prior works, scholarship in
recent years seems to agree on viewing resilience as a latent outcome variable (DesJardine et
al., 2019; Ortiz‐de‐Mandojana & Bansal, 2016; Somers, 2009). As noted above, earlier work
has examined resiliency in the business and management domain from a number of
perspectives and consequently studied a variety of outcomes, through which resilience
manifests. Grounded in earlier works this paper conceptualises resilience of the firm as a
measure of performance outcome manifested in two main dimensions. One, the notion of
competitive advantage (Conz et al., 2017; J. H. Lee et al., 2013; Ma et al., 2018; Smallbone et
al., 2012; Teixeira & Werther, 2013), which is viewed as an external measure of performance
outcome. Two, the notion of adaptation of the firm to the changing environment (Ates &
Bititci, 2011; Hamel & Välikangas, 2003; Epaminondas Koronis & Ponis, 2018; Ortiz‐de‐
Mandojana & Bansal, 2016). While the multi-dimensional view of resiliency outcomes has
been discussed in earlier works (Ma et al., 2018; van der Vegt et al., 2015; Winn et al., 2011),
prior scholarship has failed to clearly and explicitly elaborate on the dimensions of resilience
outcomes as a measure of performance outcomes.
Dimension one expresses resilience outcomes as sustained competitive advantage of
the firm (Conz et al., 2017; J. H. Lee et al., 2013; Ma et al., 2018; Smallbone et al., 2012;
Teixeira & Werther, 2013). Competitive advantage is a good measure of the long-term
survival of the firm in that a firm must strive for sustained competitive advantage relative to
both current and future competition (Barney, 1991). As Teece (2019) notes that “[h]olding
cash . . . is a good hedge against positive or negative surprises, but it provides only short-term
relief (p. 17). Thus long-term sustained competitive advantage is achieved through dynamic
capabilities (Teece, 2014a, 2014b). The dynamic capability view does not neglect the
52
significance of possession of superior resources (Barney, 1991, 1995) or the significance of
superior competitive positioning (Porter, 1980, 1996, 1998). A dynamic capability view of
sustained competitive advantage extends earlier notions to refine dynamic capabilities “as
the foundation of enterprise-level competitive advantage’ (Teece, 2007, p. 1341). In this view,
the firm must develop and deploy dynamic capabilities that allow for internal replication and
protect from external imitation to achieve and sustain competitive advantage (Teece et al.,
1997). This paper adopts a definition of sustained competitive advantage expressed in earlier
works in which sustained competitive advantage rests on the implementation of a “value
creating strategy [that is] not simultaneously being implemented by any current or potential
competitors and . . . these other firms are unable to duplicate the benefits of this strategy”
(Barney, 1991, p. 102). More precisely, it is the development and deployment of dynamic
capabilities that are valuable, rare, inimitable and non-substitutable (Barney, 1991;
Newbert, 2007) which leads to sustained competitive advantage (Teece, 2014b). Sustained
competitive advantage is furthermore contingent on the continued heterogeniety of the
underlying dynamic capabilities (Peteraf, 1993), that is protected from replication by
competitors.
While the earlier resource-capability impact on competitive advantage and further
superior performance was contested in earlier work (Newbert, 2007; Powell, 2001), the
positive impact of superior resource-capability combinations on competitive advantage and
superior firm performance was later corroborated (Newbert, 2008). This paper therefore
argues that the development and deployment of superior dynamic capabilities, particularly in
times of disruption, leads to sustained competitive advantage of the firm and consequently
leads to superior firm-operating performance. While the dynamic capabilities that underly
RESCAP are assumed to more generally affect resilience outcomes measured through
53
sustained competitive and adaptation, a differential view is useful for further guidance. That
is, the cognitive dimension as well as the inherently entrepreneurial exploring dimension of
RESCAP primarily affect the achievment and protection of competitive advantage, thus
leading to relative superior operating performance. Earlier work argues that a firm is resilient
when it achieves a refined and reinforced competitive advantage as a response to disruptive
times (Conz et al., 2017; Lee et al., 2013; Ma et al., 2018; Smallbone et al., 2012; Teixeira &
Werther, 2013). Superior sensing and exploring capabilities thus tend to enable firms to
better be able to sense underlying (weak) signals and better explore both opportunities and
threats important to the implementation of value-creating current and future strategy of the
firm and thereby ensuring sustained competitive advantage and superior performance of the
firm. Herein, firm-operating performance is operationalised through the measurement of the
change of firm-operating performance variables, such as return on equity (ROE), return on
assets (ROA) and return on investment (ROI) (Keats & Hitt, 1988) in comparison with pre-
disruption levels and competition. The focal outcome variable is viewed as a reversion of
performance, implying superior competitive advantage as the cause of such reversion.
Proposition 4a: the better developed potential RESCAP, the more the firm will
outperform competitors and prior levels of performance through enhanced
sensing and exploring capabilities. Firms with higher levels of potential RESCAP
are better able to sense (weak) signals, to sense both opportunity and threat as
well as seek new opportunities that allows for future competitive advantage.
Dimension two refers to the notion of continuous adaptation which was noted in earlier
work (Ates & Bititci, 2011; Hamel & Välikangas, 2003; E. Koronis & Ponis, 2018; Ortiz‐de‐
Mandojana & Bansal, 2016). Established work posits that firm must continuously adapt and
foster capabilities that cater for continuous shock absorption. Such continuous adaptation is
54
important to the ability of the firm to “continuously anticipate and adjust to their
environment, which facilitates the firm goal of ‘zero trauma.’ “ (Ortiz‐de‐Mandojana & Bansal,
2016, p. 1619). The ability of the firm to continuously adapt, to deploy seizing and
transformative capabilities to flexibly and efficiently redeploy and reconfigure assets allows
the firm to continuously and flexibly adapt to changing environments, which is essential in
times of disruption (Hatum & Pettigrew, 2006; Keats & Hitt, 1988; Romanelli & Tushman,
1986; Teece et al., 1997). While the competitive advantage superior firm performance
notion expresses resilience outcomes as an external measure, the changes in firm-structure,
business model, levels of risk and uncertainty across the firm portfolio represent the internal
measures of resilient outcomes.
Proposition 4b: firms with well-developed realised RESCAP capabilities tend to
more likely adapt to changing environmental conditions shaped by instability and
disruption through enhanced flexibility and efficiency in asset (re) allocation.
Firms with higher levels of realised RESCAP tend to better be able to exploit
current and future assets as well as reduce risk and uncertainty through
transformative action.
One of the fundamental questions in business and management studies is the question
of what causes competitive advantage and intraindustry variance in performance. As scholars
have pointed out, resources and capabilities seem to be one major source of such variation
(Teece et al., 1997; Zahra & George, 2002). As pointed out earlier, and as an extension to
earlier work, firms ought to foster both potential and realised RESCAP capabilities to succeed
in a turbulent, volatile and dynamic world. Both subsets are combinative in nature, thus
attention ought to be granted to both to not simply survive disruptions but also to emerge
more strongly from such disruptions to ensure longer-term survival of the firm.
55
Leveraging (moderates)
The relationship between RESCAP and resilience as measured through performance
outcomes is impacted by a group of variables that are summarised here as leveraging. This
paper views leveraging as a firm benefiting from industry characteristics and institutional
actions to amplify the positive impact of realised RESCAP on resilience outcomes.
Faster industry clockspeed, previously defined as the fast “rate of industry change
driven by endogenous factors (technological and competitive)” (Nadkarni & Narayanan, 2007,
p. 244) will impact the realisation of RESCAP. Industry clockspeed was previously defined by
three facets: product clockspeed, the rate of change of products within an industry; process
clockspeed, the rate at which one process technology becomes obsolete in favour of another;
and organisational clockspeed, which refers to the rate of change relative to strategic action
and organisational structures (Fines, 1998 as cited in Nadkarni & Narayanan, 2007). Prior
scholarship has further identified three dimensions of industry clockspeed rate, turbulence
and magnitude to more accurately measure clockspeed (Nadkarni & Narayanan, 2007). It
can be argued that a higher level of industry clockspeed will induce additional volatility in the
sector and the firm. Such additional volatility adds to the difficult situation firms face when
going through disruptive times. Arguably, the more steadily an industry seems to develop,
the more focus can be dedicated to RESCAP. Hence a negative impact of higher industry
clockspeed on the relation between RESCAP and outcomes is expected.
Proposition 5a: at lower levels of industry clockspeed, the positive impact of
RESCAP on resilience outcomes is amplified, while at higher levels of clockspeed
the positive impact of RESACP on resilience outcomes is negatively moderated as
attention is drawn away from RESCAP to satisfy demands arising from high
industry clockspeed.
56
Particular levels of industry Innovativeness are argued to amplify the positive impact
of RESCAP on resilience outcomes. Basing their work on Schumpeter’s Innovation Puzzle,
Dolfsma & Velde (2014) measure innovative output as the number of new product
announcements and industry innovativeness as the number of innovating firms within such
industry. The authors find evidence for a differential impact of firm characteristics, such as
size, on industry innovativeness. As industry innovativeness can be seen as a measure of
innovative output of an industry (Acs & Audretsch, 1988), one can assume that higher levels
of innovativeness imply more opportunity. Higher levels of industry innovativeness however
also imply greater levels of competition as more firms produce more innovative output and
the pressure for the individual firm increases. Dolfsma & Velde (2014) find that firm size is a
predictor of contribution to innovativeness of an industry, arguing that smaller firms, contrary
to prior perspectives, have a higher impact on industry innovativeness. Different measures
have been applied to examine innovativeness within an industry (Acs & Audretsch, 1988;
Dolfsma & Velde, 2014), however what seems conclusive across studies is that innovativeness
is measured as output. As such a higher level of innovativeness implies a higher level of
competition within an industry. Firms can leverage the level of industry innovativeness for
producing resilient outcomes by exploiting lower levels of innovativeness for increased focus
on RESCAP and the impact on resilient outcomes.
Proposition 5b: while at lower levels of industry innovativeness, the positive
impact of RESCAP on resilience outcomes will be amplified through increased
managerial attention being drawn to RESCAP, at higher levels of industry
innovativeness, the more the positive impact of realised RESCAP on resilience
outcomes will be negatively moderated.
57
Institutional support plays an important role in the relationship between realised
RESCAP and resilience outcomes. At different levels, institutions are agued to set the
framework for firm embeddedness, formal rules, governance and resource allocation and
employment regulations for organisations, thus influencing the portfolio of strategic choices
that firms possess (Williamson, 1981). In his study on the impact of state actions on firm
internationalisation, Finchelstein (2017) further refines the definition of institutional actions
in direct and indirect actions taken by the state to support firms. Direct action refers to the
direct involvement of institutions, for example the provision of financial support and
legislation of competition policy. Indirect action refers to provisions and policies that
indirectly affect the wider audience of firms within an ecosystem (Nuruzzaman et al., 2020).
Given that institutions can directly affect policy making and for example warrant the provision
of cheap financial resources to organisations, governmental action can be of vital importance,
particularly during times of disruption. As discussed above, organisations are better able to
flexibly reallocate resources at higher levels of organisational flexibility and with higher levels
of slack resources, firms can make changes to resource provision corresponding to
environmental demands. This effect, however, can be amplified given institutional support
that aims at the provision of for example cheap financial support for firms. While the
capabilities view of RESCAP argues that it is the capabilities that firm develops and realises, it
can be argued that the impact of realised RESCAP on resilience outcomes across dimension
can be amplified if institutional support is given.
Proposition 5c: the higher the financial institutional support, the more the
positive relationship between RESCAP and resilience outcomes will be amplified.
58
Discussion
Earlier work discussing the issue of how firms survive and outperform in disruptive
times has yielded important findings. However, to facilitate progress in this discussion, the
field ought to converge on a number of basic assumptions that allow for theoretical
advancement. By grounding its theorising in the capability-literature, more precisely the
dynamic capability view, this paper (Chapter 2) aims to inform the literature by
conceptualising firm-level capabilities under deep uncertainty (Teece, 2019). Adopting a
dynamic capability perspective is exceedingly useful in environments where managerial
decision making takes place under deep uncertainty and managerial flexibility is in focus.
Based on an in-depth, systematic review of the received literature (Chapter 1), this
paper develops the reconceptualised framework
3
of resilience capacity to inform the
literature on capability development and deployment under deep uncertainty. Routed in the
dynamic capability theory (Teece et al., 1997), this paper elaborates the capabilities that
underpin resilience response formulation through distinct dimensions as sensing, exploring,
seizing and transforming. While sensing, seizing and transforming are established constructs
in the dynamic capability view of managerial capabilities, exploring capabilities represent an
important addition. That is, the inherently entrepreneurial dimension of exploring is distinct
from sensing in that explorative capabilities purposefully seek opportunities to foster long-
term competitive advantage of the firm, while sensing is dedicated towards dynamics in the
firm-environment that can be either a threat or an opportunity. Sensing can thus be viewed
from a shorter time-horizon, while it is the entrepreneurial exploring dimension that is
developed, deployed and nurtured for a longer time horizon. The notion of seizing reframes
3
A comparison of conceptualisations and definitions with prior literature can be found in Appendix D
59
activities dedicated towards increasing the efficiency of current and future assets,
effectuating in nature, that is, focussing on implementation rather than exploring or sensing.
The transformative dimension of RESCAP focusses on the re-distribution of assets, with an
emphasis on diversification, risk mitigation and reduction of uncertainty. Interestingly,
contingent upon the environmental conditions under which a firm formulates and enacts
responses, a balance between risk and uncertainty avoidance with activities of diversification
ought to be managed conscientiously.
The theoretical model outlined in Figure 2 conceptualises RESCAP as the potential and
realised capacity to develop and achieve resiliency in disruptive times. That is, a firm can
develop the potential to form superior responses under uncertainty through sensing and
explorative capabilities. The same firm, however, ought to ensure enactment, that is the
realisation of such potential, through the capabilities distilled as realised RESCAP. The
combination of these two dimensions is of vital importance to achieve resilience outcomes
under disruptive environmental conditions.
Resilience outcomes are conceptualised as a sustained competitive advantage
expressed through a reversion of performance and enhanced firm-level adaptiveness. A
change or reversion in performance is achieved through competitive advantage, which is
driven by the sensing and exploring dimensions, alias potential RESCAP. More precisely, it is
the positive delta that is of interest. Greater levels of adaptiveness are achieved through the
development and deployment of seizing and transforming capabilities, that is, through
realised RESCAP. These dimensions of resilience, measured by performance outcome
variables, foster a more nuanced and holistic understanding of resilience as performance
outcome. Importantly, the combination of both dimensions, performance reversion and
60
enhanced levels of adaptiveness, ought to be considered when aiming to measure resiliency
as outcome.
Additionally, the conceptual model suggests moderating variables that moderate the
relationships between constructs. Amplifiers for example magnify the impact of the
environmental conditions that constitute disruption on the development of potential RESCAP,
while integrating variables moderate the realisation of potential RESCAP. Variables that
moderate the relationship between RESCAP and resilience outcomes were conceptualised as
leveraging.
This paper contributes to the received literature in a number of ways. Conceptualising
resilience capacity as a dynamic capability of the firm explicitly extends the dynamic capability
theory to environments where disruption is the leading paradigm. The categorisation of
disruptive environmental dynamics allows for theorising on capability development and
deployment honed not just toward a user-need (Teece et al., 1997, p. 517), but toward a
specific disruptive environment. It is through the focus on environmental conditions, rather
than specific events, that this view adds value. Based on earlier work (Keats & Hitt, 1988), this
paper conceptualises the environmental conditions that are disruptive in nature as disruption
by outlining how, in particular, the driving force of volatility as determining environmental
condition impacts firm-level capability development and deployment.
This paper extends earlier work on organisational resilience and dynamic capabilities by
maintaining a multi-dimensional view of resilience capacity through the illustration of
underlying capabilities as well as a multi-dimensional view of moderators and environmental
conditions. By extending the initial dynamic capability framework (Teece, 2019; Teece et al.,
1997) to include the inherently entrepreneurial explorative dimension, this view caters for
61
the purposeful shaping of the environment (Teece, 2007) and thereby acknowledges the
complex and multi-faceted reality that firms face when confronted with disruption.
By firmly grounding the reasoning in the dynamic capability theory of the firm, this
paper further extends earlier work relative to the impact of learning, path-dependency and
the emphasis on disequilibrium. While earlier work assumes rather predictable and stable
environments (Teece, 2019), this paper refocuses the discussion on firm behaviour in
disequilibrium. By outlining the distinct dimensions of RESCAP and elaborating on the way
how these capabilities are developed and deployed, this paper contributes to the issue of
how learning impacts capability development and consequently performance.
The multi-dimensional view of resilient outcomes is grounded in the theory of
entrepreneurial action, which advocates action over asset possession or competitive position
as the main driver of sustained competitive advantage in disruptive times in which the firm
engenders both Schumpeterian and Kirznerian rents. The emphasis on managerial action,
that is the development and deployment of dynamic capabilities, over possession (Barney,
1991) and position (Porter, 1980, 1996) further contributes to the growing importance of
dynamic capabilities for firm-level survival, performance and adaptiveness under uncertainty.
While this paper is firmly grounded in the extant literature and aimed at creating
theoretical contribution, these insights shall too inform managerial decision making by
outlining the capabilities critical to survival during times of disruption and explicating other
important aspects of the theory. Because of incoherence in theorising and empirical findings,
the implications of the received insights for practice thus far remain unclear. Due to this
incoherence, prior work on how firms survive and thrive in times of disruption has been
difficult to apply to managerial practise. The emphasis on dynamic capabilities as the source
of sustained competitive advantage in disruptive times over possession and structure of
62
assets is reinforced by Teece (2019) who notes that “[h]olding cash, for example, is a good
hedge against positive or negative surprises, but it provides only short-term relief” (p. 17).
This view again stresses the strategic importance of capability development and deployment,
particularly in times of disruption. While the asset base of the firm is evidently important to
firm survival, i.e. a firm holding excess cash reserves, the emphasis in rapidly changing
environments lies on the capabilities essential to develop, deploy and reconfigure those
assets to respond to changes in the environment of the firm (Amit & Schoemaker, 1993; Teece
et al., 1997). Earlier scholarship on dynamic capabilities advocates a set of distinct capabilities.
In particular sensing, seizing and transforming are important dimensions of a firms’ dynamic
capabilities portfolio (Teece, 2007, 2017; Teece et al., 1997).
A dynamic capability view of resilience capacity aims to introduce a refined perspective
of the capabilities critical to firm survival in disruptive times. The introduction of potential
and realised resilience capacity also indicates that resilience capacity as a dynamic capability
of the firm is a multi-dimensional construct that targets both the survival of the firm through
seizing of current opportunities and the pursuit of future competitive advantage through the
creation of new opportunities. The insights generated in this paper emphasise the multi-
dimensionality of resilience outcomes, an important extension and reaffirmation for guiding
managerial practise. This paper also informs the practising manager by providing a more
nuanced view of disruptions and the environmental conditions that lead to the prioritisation
of a set of capabilities over another.
63
Future research
Naturally, this paper is not exhaustive and represents one view of firm-level resilience
based on an extensive review of the received resilience literature. While this paper uses a
dynamic capability view to explain firm-level resilience, other views could be used to explain
firm-level resilience, and thereby expanding upon other views summarised in Table 2. While
the dynamic capability view provides a useful perspective to scenarios of deep uncertainty
and volatility, it of course has its limitations. Therefore, applying a different perspective to
the study of firm-level resilience may yield a different conceptual framework that may induce
interesting findings from various domains, such as economics or sociology.
While this paper treats resilience, expressed through adaptiveness and performance
reversion, as the independent variable of the model, a different perspective might view the
dynamic capabilities that underpin RESCAP as the independent variable. That is, disruptive
environmental conditions lead to RESCAP and the underlying dimensions as the independent
variable. Following earlier work, resilience could also be viewed as mediator to the
relationship between dependent and independent variables (e.g., Collier, 2018; Kantur &
Iseri-Say, 2012; Senbeto & Hon, 2020).
The focus of the theory paper is to develop a conceptual model of resilience capacity
through a dynamic capability lens. As such, propositions for further study are developed. The
conceptual model could be used to extend the conceptual effort to a quantitative, deductive
theory testing study. Consequently, further study focussed on quantitative theory testing
approaches can shed further light on the validity of the proposed RESCAP model of firm
resilience to further extend both the dynamic capability as well as the resilience literature.
64
Chapter 3: Inductive study
Introduction
As outlined in the above in-depth literature review, the focal research domain suffers
from incoherent frameworks, construct definitions and measurements. The inductive study
in Chapter 3 shall aim to build theory that is firmly grounded in observation of the
phenomenon in managerial practise, that is, inductive theory building through qualitative
field research, where the researcher initially is agnostic to the relationships she will observe
during the early research process (Glaser & Strauss, 1967).
Qualitative, inductive methodologies grounded in theory are best suited for research
where novel frameworks and conceptualisations are studied (Charmaz, 2006; Corbin &
Strauss, 1990; Eisenhardt, 1989; Eisenhardt et al., 2016; Eisenhardt & Graebner, 2007;
Gehman et al., 2018; Glaser & Strauss, 1967; Strauss & Corbin, 1994, 1997; Turner, 1983). An
inductive, qualitative study that is strongly grounded in theory allows for recurring
progression from and to data collection, analysis and theorising (Zeithaml et al., 2020), which
allows for continuous building of the emergent theory (Eisenhardt, 1989). Chapter 3 shall aim
to build an inductive, emergent theory, that is firmly grounded in observation.
Research methods
Conceptualised by Glaser & Strauss (1967), researchers who are applying a grounded
theoretical approach to building theory initiate the research project without preconception
of what they are going to see and are initially agnostic to the relationships they’re going to
observe. The emergent theory is then viewed as a bridge from inductive approaches that yield
qualitative evidence to mainstream deductive research (Eisenhardt & Graebner, 2007). As
Eisenhardt & Graebner (2007) point out, researchers ought to justify the application of
inductive approaches to building theory as there is [t]he implicit assumption . . . that
65
[inductive] theory building . . . is less precise, objective, and rigorous than large-scale
hypothesis testing (p. 26). To justify the approach used in this paper it is imperative to
address questions of why the focal research question is better studied through an inductive
approach. Conflicting extant theories alone are not a sufficient reason that warrants such an
approach (Eisenhardt & Graebner, 2007). It ought to be noted that existing theories and
frameworks insufficiently explain the variance in firm survival and behaviour that leads to
superior performance. Methodologies grounded in theory are particularly well-suited for
studies in which the researcher aims to foster an understanding “of the dynamics underlying
the relationship, that is, the why of what is happening” (Eisenhardt, 1989, p. 542).
First, research methodologies grounded in theory, are well suited for dynamic
phenomena. That is, dynamic in nature of the phenomenon as well as the research process
(Corbin & Strauss, 1990) through which the emergent theory gains credibility, cohesiveness
and parsimony. Second, as the focal methodology is firmly grounded in the data that the
researcher is observing, the notion of determinism applies. As Corbin & Strauss (1990)
outline, actors “are able to make choices according to their perceptions, which are often
accurate, about the options they encounter” (p. 5). Methodologies grounded in theory “[seek]
not only to uncover relevant conditions, but also to determine how the actors respond to
changing conditions and to the consequences of their actions” (Corbin & Strauss, 1990, p. 5).
Building theory through inductive methods, such as qualitative research interviews, is a good
fit for the purpose of this study. On the one hand there are competing theoretical frameworks
that thus far insufficiently explain the variance in behaviour and outcomes as well as
inconclusive theoretical conceptualisation among scholars. On the other hand, the dynamic,
complex and changing nature of disruptions, how actors respond to such and the changing
environmental conditions under which actors operate warrant further theory building from
66
inductive methodology, that is grounded in theory. Challenges arising from scholars who
favour other research methodologies over inductive, qualitative methods can be met with
“precise language and thoughtful research design” (Eisenhardt & Graebner, 2007, p. 30). In
part, the focal paper aims to build and test theory concurrently. Testing theory that was
developed based on the in-depth literature review above and construct theory by extending,
revising and enriching earlier notions of the focal theory.
Evaluating rigor and quality. The aim of this study is to create high-impact and high-
quality contribution to the field that furthers both academic understanding and practical
action. The results from high-impact theory development yield contributions that are novel,
interesting and original (Charmaz, 2006) or as Eisenhardt et al. (2016) denote, demonstrate
“thinking big and thinking new” (p. 1119). High quality of research, among other
characteristics, manifests in high levels of rigor applied to the research. Eisenhardt et al.
(2016) outline three fundamental criteria (p. 1120), that allow for evaluation of the quality
and rigor of inductive work. First, is this a strong theory, in that the theory is internally
coherent and parsimonious? Second, are the constructs evidently grounded in the
observations? And third, “does the research provide rich and unexpected insights?”
(Eisenhardt et al., 2016, p. 1121). As is the nature with inductive methods of this kind, the
credibility and the quality of the theory development review builds over time as the research
process progresses. Particularly during the early stages of a grounded study approach,
confidence in the emergent theory and constructs as well as the underlying relationship is
increasingly built.
Prior work thus far has reached little consensus on which criteria should be evaluated
when judging inductive work, particularly in processes attempting to building theory from
qualitative methods, grounded in theory (Eisenhardt, 1989). The below listed evaluation
67
criteria are not exhaustive, in particular since there seems to be no agreement among
scholars on which criteria one should focus when evaluating theory building that is grounded
in the data. Analogous to internal validity in theory-testing research, credibility evaluates
plausibility of the propositions developed within the focal theory (Zeithaml et al., 2020).
Transferability, or external validity in theory-testing, evaluates the extent to which the focal
theory holds in cases not in scope in the current sample (Zeithaml et al., 2020).
Theoretical sampling
This study adopts a theoretical sampling approach, where the researcher collects data
in a way that she jointly collects, codes, and analyses his data and decides what to collect
next and where to find them” (Glaser & Strauss, 1967, p. 45). In further defining theoretical
sampling, Coyne (1997) notes that in the initial stages [the] researcher must have some idea
of where to sample, not necessarily what to sample for, and where it will lead” (p. 625). This
pertains to the notion, that in a research process qualitative in nature and grounded in theory,
the sampling of informants is emerging throughout the research process.
Contrary to random sampling in deductive, theory testing work, the researcher samples
theoretically relevant data throughout the research process. As outlined by Handler (1990, p.
39), theoretical sampling might appear to be biased and uncontrolled for researchers used to
quantitative methods with samples randomly selected from the population. This, however, is
rebutted by the structure of the emergent theory, which functions as a control for the data
collection process (Glaser & Strauss, 1967). Contrary to statistically relevant sampling in
theory testing work, theory building relies on sampling that selects informants for theoretical,
rather than statistical reasons (Eisenhardt, 1989). Considering that the number of informants
to which the researcher is able to gain in-depth access is generally limited, the researcher
shall aim to sample informants and firms which represent polar situations (Pettigrew, 1990).
68
Polar or extreme situations (Eisenhardt, 1989; Pettigrew, 1990) can for example manifest in
low and high performing, or other variability, firms, through which the focal phenomenon can
be clearly observed. Sampling polar, in particular disconfirming, firms and informants will
further improve the emergent theory.
When the researcher samples firms and actors, where the theory likely does not hold,
she increases the quality and cohesiveness of the emergent theory. That is, if the focal theory
is reconfirmed by participants who were sampled as disconfirming, in that they’re
reconfirmation of the theory increases credibility and improves the emergent theory
(Pettigrew, 1990; Zeithaml et al., 2020). Theoretical sampling is expressed through a process
where the researcher concurrently collects, codes and analyses data and “decides what data
to collect next and where to find them, to develop his theory as it emerges” (Glaser & Strauss,
1967, p. 45). In addition, this study draws from samples of firms and participants that satisfy
categorisation into different groups through purposeful selection (Eisenhardt, 1989).
Theoretical saturation
The further the progress of the research and theory construction process, the more
important becomes the notion of theoretical saturation. In contrast with random sampling in
deductive, theory testing studies, sampling in research approaches grounded in theory do not
anticipate a predetermined sample size ex ante. Theoretical saturation is reached when
additional data collection presumably will not yield further insights into the issue, that is no
new findings can be generated through additional data collection and analysis (Zeithaml et
al., 2020). Formally expressed, saturation is reached when incremental learning through
additional observation is minimal because of the replication of findings (Eisenhardt, 1989;
Glaser & Strauss, 1967) and no new themes, categories or insights are expected (Zeithaml et
al., 2020, p. 46).
69
Data collection
Researchers who employ a qualitative, inductive method, are not confined to any
particular set of data sources (Eisenhardt, 1989). While qualitative studies are naturally
associated with studying qualitative data (Eisenhardt, 1989; Yin, 1981), such studies are not
restricted to solely using data of qualitative nature. Furthermore, the combination of both
quantitative and qualitative data is seen synergistic and fruitful for various purposes
(Eisenhardt, 1989; Yin, 1981), where both data can complement, extend and add to each
other. Quantitative data for example can uncover relationships that were not as salient in
pure qualitative data, as well as adding insights to arrive at conclusions that potentially would
have been made differently if only qualitative data were observed and analysed (Eisenhardt,
1989). Qualitative data can both develop theory directly or give meaning to relationships
uncovered through the analysis of quantitative data (Eisenhardt, 1989; Mintzberg, 1979).
Mintzberg (1979) notes “[w]e uncover all kinds of relationships in our hard data, but it is
only through the use of this soft data that we are able to explain them, and explanation
is, or course, the purpose of research” (p. 587).
This study will therefore adopt a multiple data source approach where a combination
of rich, qualitative data from discussions with interview partners will be complemented with
data from secondary sources. More precisely, the in-depth Interviews
4
,
5
are semi-structured
with informants from firms across a variety of sectors and categories. Interviews last about
45-60 minutes and cover the introduction of the interview participants’ role and
responsibilities within the firm as well as questions pertaining to the focal research question.
4
Singapore Management University Institutional Review Board approval number IRB-20-155-A104(1220)
5
Informed consent was obtained from each participant during the research process. The main elements of the
informed consent process as well as content were re-iterated prior to starting each interview. Video and audio
recordings are diligently handled as per instructions outlined in the IRB approval document.
70
An overview of selected interview questions can be found in Appendix E. As part of the
research process, the interview questions were modified and extended throughout the
process (Eisenhardt, 1989; Harris & Sutton, 1986). A descriptive summary of interview
participants can be found in Appendix F.
To ensure data validity and reduce informant bias, several steps ought to be taken.
First, the utilisation of nondirective, open-ended questions and the avoidance of leading
questions during the interview was observed to enhance data accuracy (Huber & Power,
1985) and to limit recall bias (Golden, 1992; Koriat & Goldsmith, 2000). Second, multiple
informants as opposed to single-informants per firm across functional areas and hierarchies
enhance information accuracy (Kumar et al., 1993). Third, to reduce the likelihood of
retrospective sensemaking (Weick, 1993), accounts of both retrospective as well as current
data ought to be analysed. That is, because the interviews take place during a disruptive time
in combination with retrospective data, the risk of retrospective sensemaking by both the
researcher and the informant is reduced (Huber, 1985). Fourth, the triangulation of interview
data with secondary data acquired through a variety of sources increases confidence in the
emergent theory (Hallen & Eisenhardt, 2012). Fifth, the provision of anonymity encourages
candor among the informants (Hallen & Eisenhardt, 2012; Hannah & Eisenhardt, 2018;
McDonald & Eisenhardt, 2019).
Additionally, this study utilises secondary data drawn from company press releases,
press articles, blogs and analyst reports to complement interview data and for triangulation
of the qualitative data (Jick, 1979). Such triangulation allows the researcher to expand
theorising to secondary data to validate informants’ views, critical for validity increases.
71
Table 6 group names and description
6
Group
name
Segment
Type
Employees
Footprint
Inform
ants
Role of informants
BioTech
Bio-tech
Private
10-50
Regional
(2 sites)
4
CEO & co-founder, CTO & co-
founder, CPO, COO
ChemCo
Specialty
materials
Listed
20,000+
Global
(140 sites)
4
COO, Executive VP Strategy,
President Americas, President
Singapore
ServCo
Service
Intra-
governm
ent7
4000+
Global
(115 sites)
6
Head of China (Beijing), Head of
Philippines, Head of Thailand,
Head of South Korea, Head of
Hong Kong, Head of Singapore
SteelCo
Steel
Listed
50,000+
Global
(140 sites)
6
Member of the Management
Board, Head of Global
Operations, President Asia
Pacific, President North
America, Divisional Head of
Benelux, Head of Global
Marketing & Sales
Concept
Various
Various
Various
Various
5
Prof. Strategic Management,
CEO, Partner, Manager,
Founder
Table 7 overview of data sources
Data source
Type
Purpose
Description
Interviews
Primary
Primary source of
qualitative data
In-depth, semi-structured interviews
conducted online (45-60 minutes)
Annual reports
Secondary
Triangulation8
Annual reports retrieved online (where
applicable, as not all firms are publicly listed)
Earnings call
transcripts
Secondary
Triangulation
Retrieved from the firms’ website and other
media outlets (where possible)
Press releases
Secondary
Triangulation
Retrieved from the firms’ website and other
media outlets (where possible)
Research memos9
Analysis
Written record of
analysis
Memos keep record of the analysis done as
part of the research process, depicting the
thinking, conceptualising and theorising
6
Group refers to a group of informants, i.e. the same firm, however, these do not represent cases
7
ServCo serves as an intragovernmental organisation that provides services for companies from a specific
country in their export-import and internationalisation efforts globally.
8
Triangulation of data refers to the use of multiple methods in analysing the data to increase consistency,
reliability (within-method) and external validity (between-method) (Bouchard, 1976; Glaser & Strauss, 1967;
Jick, 1979)
9
Memos are distinct from interview notes as memos are a record of the analysis process where the researcher
records thought processes, emergent concepts, conceptualisation and theorising as part of the research
process (Corbin & Strauss, 2015)
72
Table 6 provides an overview of the groups of informants, i.e., firms, from which
participants for the interviews were sourced. These firms were purposefully sampled across
sectors, sizes and firm type to increase parsimony of the emergent model. That is,
heterogeneous samples of firms and informants may help to build a more holistic and
nuanced inductive model of firm-level responses during disruption.
Table 7 provides an overview of the data sources used in the inductive study. Examples
of secondary data sources can be found in Appendix J. These secondary data were particularly
helpful in the later stages of the research process, where relational meaning between
concepts and constructs was established to form the emerging model of firm-level resilience
in disruptive times.
Data analysis
The data analysis followed a multiple-step approach, in which the emergent theory is
constructed iteratively, by moving back and forth between data and analysis (Corbin &
Strauss, 1990; Eisenhardt, 1989; Zeithaml et al., 2020). The thinking, conceptualising,
theorising and the emerging of concepts, categories and themes are documented in research
memos, which represent a “written record of analysis” (Corbin & Strauss, 2015, p. 106). Note
that memos are distinct from interview or observation notes in that memos focus on the
analytical process and the emergent theory (Corbin & Strauss, 1990). By firmly grounding the
analysis in the data, a close linkage of the emergent theory with the data can be pursued
(Kyratsis et al., 2017). Importantly, the analysis strategy relies on initial in-vivo coding, that is
using participants wording for concept definition, allowing for identification of patterns and
common meaning across interviews (Corbin & Strauss, 2015).
Figure 3 illustrates the inductive research process that is based on the in-depth
literature review. It is, however, distinct from the conceptual paper in Chapter 2.
73
First-order concepts were developed in the early stages of the research process by
exploring the open coding of interview transcripts. These unrefined early first-order concepts
were in-vivo interpretations of informants’ anamnesis of firm behaviour in disruptive times.
Through the process of open coding
10
of interview transcripts, it is possible to arrive at early
definitions of emergent concepts. The repeated reading of the transcripts allows for
familiarisation with the data and context. The transcribed interview data was anonymised,
and relevant data were redacted to maintain full anonymity of the informants. The initial
open coding of interview data is exploratory in nature and aims to arrive at descriptive
concept definition. The tentative character of the initial concepts calls for a rather dynamic
view of those early concepts, that is these early concepts are not static and might change as
the research process progresses. Furthermore, the initial concepts may not necessarily be
lower-level concepts as they might later manifest as second-order concepts or constructs.
The initial concepts might also be dimensions or properties of the emergent concepts. The
use of memos is essential, to be able to refer to the initial thoughts accompanying early
conceptualisation and interpretation (Corbin & Strauss, 2015). As the research process
progresses, the use of constant comparison of emergent concepts with earlier and later data
further validates early concepts within- and across interviews.
Second-order concepts were developed and categorised as the research process
progressed and the focus was on further clarifying the meaning of first-order concepts and
finding conceptual relations between those concepts to define preliminary second-order
concepts. Here the focus is on conceptual meaning and thus the relationship among lower-
level concepts. While the emergent early concepts become clearer and second-order
10
Upon importing the transcripts to NVIVO (Release 1.4; QSR International), the coding and analysis was done
in the same program. References, codes and coverage statistics were calculated by the program
74
concepts are developed, an important aspect is the identification of dimensions of concepts,
that is how concepts manifest in the data. At this point in the research process, the focus on
contextual, that is relational, meaning shifts the focus from individual interviews to constant
comparison across interviews. Here, first- and second-order concepts are re-evaluated and
their fit across statements is being assessed. Through the constant evaluation of
interpretations against data, the emergent concepts gain further validity, i.e., fit with the
data. Constant comparison allows for salient questions in the analysis process such as “What
is being said or done? Who is doing it? Why?” (Corbin & Strauss, 2015, p. 87). Consequently,
early concepts are further validated and emergent categories and refined.
Constructs. The next steps in the analysis process emphasises the contextual and
relational meaning of lower- and higher-level concepts to arrive at constructs (Kyratsis et al.,
2017). By triangulating the interview data with secondary data, the first- and second-order
concepts and constructs gained further validity against the data.
Figure 3 inductive research process (own illustration)
11
,
12
11
The structure of the research process illustrated above is based on ideas published by Harrison & Rouse (2014)
12
The double-sided arrows represent the bidirectionality and dynamism in the research process. That is, in
addition to moving across tasks (collection, analysis, literature), the research process re-iterated at certain
steps to ensure optimal fit of the model to the data, thus remain firmly grounded in the data. An overview
of exemplary secondary data used for triangulation can be found in Appendix J, Table 23.
75
The bidirectionality in Figure 3 shall indicate the ability of the researcher to move
between data collection and analysis throughout the process. Towards the end of the
research process, revisiting the accompanying literature allows the researcher to apply the
appropriate theoretical lens to the emergent data structure. That is, while the emergent
model gains maturity and theoretical saturation is achieved, the applied theoretical lens
allows for explanation of the relational connections within the model.
The result of the research process is discussed in the findings below. Figure 4 gives an
overview of the emergent first- and second-order concepts and emerging constructs as well
as the conceptual relations within these. These first-, second-order concepts and emerging
constructs were modified throughout the research process to increase fit of the emergent
model with the data
13
.
Further details on the emerging concepts are given in Appendix G, in tables 14 20,
where the lower-level concepts are outlined, described and exemplary quotations are added
for illustrative purposes. First-, second-order concepts and constructs were revised
throughout the research process to better fit the data. Additional secondary data was
analysed to first, validate initial constructs and relational findings and second, to bridge
conceptual and relational gaps in the emerging model. Importantly, the conceptual interview
transcripts, that are memos, were particularly useful for providing further details on the
relationship between concepts and categories as well as supplying ideas for further research
avenues.
13
A detailed outline of the emergent codebook including files and references as well as explanations can be
found in Appendix H. The codebook was exported from NVIVO including all three levels of concepts. Statistics
on the number of files and references per code were calculated by the program both in detail and cumulative.
76
Data structure
Figure 4 inductive data structure (own illustration)
77
Findings
The focus of this analysis was on the characteristics of disruptiveness, firm-level
responses to said disruptiveness, the contingent effects of firm-, market- and firm-ecosystem
factors and the consequences of firm-level responses. The results from the inductive study
allow for a conceptualisation of an emergent model of firm resilience, illustrated in figure 5.
The analysis and interpretation of the data reveal seven main constructs, each
explained by a number of underlying dimensions second-order and first-order concepts. The
main construct disruptiveness (A) describes the level of disruptiveness by explicating the
triggers of disruption, the impact of disruption and the temporality of disruptiveness.
The way how firms formulate and enact responses to the disruptive environmental
conditions was categorised in four main constructs. Sensing (B) describes both, the notion of
scanning the environment and making sense of signals in the environment. Exploring (C)
elucidates firm level activities that relate to the inherently entrepreneurial and explorative
concept of purposefully seeking opportunities and strategising in disruptive times. Buffering
(D) describes how firms engage in activities of maintaining, levelling-up and pacing to buffer
the impact of disruptive dynamics on the firm. Reconfiguring (E), however, accounts for
activities that relate to notions of diversification of the firm portfolio, resourcing and
fungibility.
The construct summarising situational moderators (F) integrates a variety of contingent
aspects endogenous and exogenous to the firm, that impact the formulation and enactment
of firm-level responses to yield superior levels of resiliency. Last, the outcome variables are
expressed through the construct of resilience (G), summarising aspects of both value creation
and adaptiveness of the firm. The emergent model in Figure 5 therefore aims to represent
the processes and dynamics that underpin resilience from a contingency perspective.
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Disruptiveness (A)
14
Informants detail a variety of aspects that describe the disruptive environment that
constitute disruption, including the events that trigger such disruptive dynamics, the impact
that disruptive dynamics have on a number of areas and the notion of temporality, which
denotes a spatial and temporal view of disruptiveness.
Triggers (1)
15
(Appendix G, Table 14)
Informants draw attention to the role disruptive environments play in accelerating
underlying dynamics. That is, dynamics that are not solely induced by the disruptive
environment. Concept 1A crisis as catalyst therefore summarises the role disruptive
environments play. One main effect of the disruptive environmental conditions therefore is
the acceleration and intensification of dynamics that existed a priori. The pre-existence of
these dynamics is an important characteristic, as informants only name very few changes that
were induced by the most recent disruptive environmental conditions specifically.
[T]echnological change is mainly coming from digitalization, of course, and also
artificial intelligence […] and those things, and this is happening faster than it
was before course [001]
16
Informants denote the general tendency of disruptive environments to act as a catalyst
for transformative changes.
[I]n each crisis there are certain transformation which take place and which
become, let's say structural, not so much temporary behaviour [010]
14
For reference, the letter in brackets e.g., “(A)” denotes the construct in the data structure
15
For reference, the number in brackets e.g., “(1)” denotes the second-order concept in the data structure
16
[001] denotes the informant who made this particular statement, further details in Appendix F, table 12
79
[T]o accept these changes is a slow process and I believe that before the
pandemic we would have continued with this slow adoption little bit at a time.
We have to learn now that you got to be in front of it and […] you can't sit back
[011]
An interesting notion is that of the positive effects of the disruptive environment on the
firm, in that informants note that the firm is able to focus on strategy formulation as a
consequence of the disruptions to both demand and supply.
I actually look at Covid as a very positive disruption. Actually, 'cause it allowed us
to actually take stock of where we are. Reflect on who we are as a company,
what our core strengths are and where we want to go [005]
One main effect of the disruptive environment is the notion of uncertainty. 1B
increased uncertainty describes the change of levels of uncertainty for firms, manifesting as
a variety of dimensions. Uncertainty in demand as a consequence of heightened levels of
volatility, uncertainty in supply as a consequence of more volatile supply chains. Uncertainty
is for example expressed through employees’ reaction to changes.
I'm a firm believer that most people um, are uncomfortable by substantial
strategic change. It creates uncertainty [011]
Particularly focal significant seems the notion of uncertainty relative to managerial
decision making as one informant notes.
Well, I think uncertainty is probably the one thing that we fear most. 'cause we
are like a company like us is not just [company]. There are many companies like
us, but you know making changes and yeah you know it. You can't manoeuvre as
if you were on the bicycle and decide to turn left or turn right or to go back. Um?
80
So, we, we hate uncertainty, and the crisis with when it brings initially is
uncertainty [021]
It is the increased levels of volatility across various domains within the firm that creates
uncertainty and thus managerial decision making is inherently more complex. For example,
the uncertainty induced by stark volatility in supply and demand behaviour increases
inaccurateness in forecasting and therefore production and supply planning.
Concept 1C underlying dynamics further details the underlying dynamics that are
accelerated and intensified by the disruptive environment and can have both a negative and
positive impact on the firm.
I think these dynamics were in place already before. So the faster pace of change
changes in the environment of the companies [006]
For example here in this crisis it was obvious that it was a unique opportunity to
accelerate digital transformation of the company [010]
And unfortunately for us, it's not the only issue we have. I mean, protectionism
hasn't gone away [011]
I'd say another really critical transformation initiative that's taking place across
the industry is sustainability [013]
I think they've been aware of several trends before. Talk about digitalization,
platforms, web shop solutions in the industry, and we monitor this. And we're all
aware that those things are coming and will become more and more prominent
and even tools like artificial intelligent in not really works and automation coming
with this and better understanding of markets and dynamics and so on [019]
81
The concept 1D nature of the disruption describes how the nature of the events and
dynamics that induce disruptive environmental conditions differently impact the firm. Noting
that experiences with previous disruptive environments were of little help in the current
environment.
it didn't help me to foresee anything like the pandemic because this was so
different [001]
Informants also offer insights on the differing nature of trigger, i.e., the event or
dynamic that induced the disruptive environment.
The trigger was different. This was a health crisis rather than an economic crisis
[011]
Analysis shows that informants relate to previous disruptions in assessing the current
disruptive environment which may suggest patterns for certain disruptive environments.
The only kind of comparable crisis situation, […] it was the time of the
international financial crisis too [016]
One crises pattern 9/11. And the other the financial crisis [002]
Impact of disruption (2) (Appendix G, Table 14)
The second category of disruptive environmental characteristics describes the impact
that the disruptive environment has on the firm, expressed through a variety of issues. 2A
changes in consumer behaviour describes how the disruptive environment affects consumer
behaviour and the consequences for the firm thereof. One informant describes the change in
speed.
I mean from a product portfolio standpoint and nothing other than the need for
urgency. You know that need for change? If so, we were getting a call from a
customer back in March saying, you know, I need to build a mould for [product].
82
Typically this is a 12 week build. I have to build it in 12 days so I need you to
deliver [product] to me this afternoon when we might typically take two weeks.
So speed is one thing [011].
One informant describes the change in way how consumers purchase differently as a
consequence of the disruptive environment.
Before you said you have to look at the watch and you have to feel the touch or
luxury cars and like s-class in China is now sold 90% via Internet. Yeah, before it
was 20%. So there are certain shifting consumer behaviour and we have to follow
this [002]
Informants also describe (2B) changes in decision making behaviour more specifically,
by for example noting how the role of speed gains importance in disruptive environments.
Speed before perfection is maybe good synonym speed before perfection [003]
One informant is detailing a shift in decision making behaviour by noting how
hierarchies change in disruptive times.
I mean, it used to be an incremental shift off hierarchical decision patterns to
more democratic to agile to whatever before the pandemic came. Now the
pandemic is coming accelerating some of those but also revising actually this
democratic decision patterns into a more hierarchical ones simply due to the fact
that once your cash is running out you need to make very tough decisions and
they cannot ask other people if they're if they're in line with these decisions [006]
A third, very prominent, impact of the disruptive environmental conditions concerns
the (2C) reconfiguring [of] distributive work, where a shift in how and where firms and
employees work is denoted.
83
I mean the work, the work life is changing dramatically and people are working
from home. This was, nobody thought of that a year ago that it's possible at
[company] to work 100% from home and now it's widely accepted [001]
So, the main difference was so we could not communicate via personally. We
were stuck. We couldn't travel [anymore] [002]
This notion entails a variety of characteristics and effects. The impossibility to travel for
example, forced firms to change the way of doing business to a certain extend. Firms, who
previously had relied on personal interaction as a means of decision making or new business
acquisition, had to change their approach. While informants note negative consequences of
these changes in work environment configuration.
You are not able to go and meet the business partners, government agencies, etc
on a on a personal basis [014]
Informants also noted positive effects in that firms saw increases in efficiency across
the firm portfolio, processes and structures.
And to be honest like I realized then that it doesn't really impact the efficiency of
or like the productivity of work [005]
Informants further detail the effect of the disruptive environment on demand,
summarised as 2D demand disruption. Informants outline how the disruptive environment
induced a reduction in customer or consumer demand, increased levels of volatility of
demand, that is stark differences between peaks and lows.
you know the fluctuation in demand was very important not for very long, but
very important. What was the most probably the most difficult thing to handle is
uncertainty because we have the drop [021]
84
While the demand disruption is often viewed negatively, the disruptive environment
also dramatically increased demand in certain business areas, not planned and thus disruptive
to a certain extent, as one informant outlines sudden increased demand from the packaging
sector.
But people still eating [...] You know that people cannot go hungry so that is a
part of business that continue [to grow] [023]
Similarly, informants discussed disruptions to the supply side of the firm, that is the
supply chain supplying raw materials or products to the firm. Summarised as 2E supply
disruption, informants outlined the consequences of their firms’ suppliers not being able to
deliver.
essentially what that did for us was really disrupt our supply chain. Because most
of the consumables that we buy we purchased from local distributors, but they
are actually imported [005]
or the dramatic increase in transportation cost as a consequence of reduction in overall
demand and the consequences of work environment reconfiguration.
And there are other phenomen[a], for instance like the […] incredible increase in
transport costs between China, Europe and the US [004]
Temporality (3) (Appendix G, Table 14)
The third category of environmental characteristics describe the notion of temporality,
denoting characteristics of the disruptive environment that relate to the intensity, nature and
speed of disruption as well as discussing previous disruptions.
3A intensity of disruption describes for example the importance of sequence of events
that constitute disruptive environmental conditions.
85
This was basically one year after the .com bubble burst and this made the crisis
even more severe than it was before. I think the crisis wouldn't have been so bad
if 9/11 didn't happen [001]
Another dimension of this concept includes the notion of prevalence, that is the spread
of the disruptive environmental conditions among the immediate firm-ecosystem, sectors,
geographies and societies.
This is really nothing compared to all that because here you have a worldwide
general halt of many activities. I mean what we have never seen before was a
total grinding to a halt [004]
But some segments, like the aerospace industry, of course, their dramatic
changes, and they go beyond what you have normally in the crisis or what we
had [019]
Informants also detail how duration and intensity over time of disruptive environmental
conditions impact the firm.
Well, I think the Corona Crisis is second to none. So actually, I have never seen so
dramatic changes within such a short period of time [017]
The concept 3B Previous disruptions summarises how informants describe earlier
disruptive periods, which also yields an interesting notion of crisis patterns. This might be
helpful for an analysis of how firms look at disruptive environments through a perspective of
patterns.
two major disruptions apart from this one. This was obviously the global financial
crisis in 2009, which was from nature a bit different because it came from the
from the financials side, but from the consequences quite similar and I remember
86
very well the first of the of the .com bubble in in 2000, so this was also a major
disruption [001]
One crises pattern 9/11. And the other the financial crisis [002]
10 years ago, when we had the 2008 2009 crisis, […] it was totally unexpected,
never happened before, and I can tell you that even before […] economic crisis
affecting the chemical industry […] But this one was unprecedented.
Unprecedented demand dropped by 30% at once no pre warning, nothing. We
did not see it coming […] Nobody saw it coming [021]
Another important aspect in the temporality category is (3C) the speed of disruption,
which relates to the speed or growth of impact as described by informants.
Also, different here was now the speed in which this crisis has spread across the
globe. I believe this is something we have not seen before and we had to deal
with a lot of different topics in a matter of hours or days to find some quick
emergency solutions [003]
Speed of the disruption we had was far quicker than normal [011]
I think this speed how quickly things with changing [019]
87
Sensing (B)
Informants elaborated on a number of ways in which firms scan the environment for
signals that could be threats to the organisation and how they assess and prioritise those
signals to enable consequent decision making, i.e., enactment described as buffering.
Informants describe the sensing dimension through two main concepts, one is scanning and
the other one is sensemaking. The interpretation follows that scanning, that is, sensing signals
in the environment through observation and active risk management, without sensemaking
might not be advantageous for the firm as it is the making sense of these scanned dynamics
that is enabling certain decision-making processes.
Scanning (4) (Appendix G, Table 15)
Scanning details how firms develop and deploy their cognitive abilities to observe the
environment, i.e., sense the environment for signals, make sense of those signals and manage
risk in the environment of the firm.
4A observing the environment summarises informants’ views on how firms observe the
environment for potential disruptive dynamics.
I think we have also of this crisis, we have learned that we need to be much more
proactive in sensing out possible disruptive technologies or disruptive
developments, referring to our business [003]
Informants detail the necessary proactive approach in sensing the environment for
signals, suggesting that firms ought to pay active attention to the environment and scan for
dynamics that could manifest as disruptive environmental conditions.
I think with any disruption. Your ability to navigate it has a direct correlation in
terms of your ability to anticipate it or to see it coming. You know if it arrives on
your doorstep at, you know 8:01 in the morning on Monday, then you're in far
88
worse shape than if you know you saw it coming you know six months before, or
you know or the like [013]
One informant outlines one particular way of observing the environment for potential
disruptive dynamics as follows.
There is one aspect that comes to my mind. Note that's also helpful and this is
something that banks are doing for […] like adverse scenarios and all this and […]
I think it's something that every company should […] think about, is stress testing
[…] What happens when your customers cannot go into your shop? […] when you
[…] have like 10% less revenue per month, a weaker month? [020]
The concept 4B risk management outlines the cognitive ability of the firm to manage
risk across the firm portfolio by constantly sensing and evaluating dynamics in the
environment. Here purposeful risk management is viewed as the assessment of potentially
disruptive environmental dynamics and their potential negative consequences.
risk management today and probably even more in crises, risk management is
vital. You need to not so much to gamble necessarily about what the future is
going to be rather than to have a scenario-based analysis and see in terms of risk.
What makes more sense, knowing that nothing is risk free? You cannot be totally
be risk adverse, but you need also to manage your risk and to figure out what
happens if you make a big mistake. For me this risk management is sometimes
more important than the budget per se, is always a budget in your time when
everything is volatile [010]
This suggest an important role of risk management even implies higher importance of
risk management than budgetary planning where it is the risk assessment of decisions that
takes precedence in disruptive times. Informants also relate firm size, that is, the implied
89
availability of resources dedicated towards these functions, to the notion of risk
management, where smaller firms might not be able to actively manage risk through
dedicated organisational functions and roles.
I know there's companies now that have these risk assessment or risk
management or and the you know you with all the money in the world you have
people to, especially to do this kind of stuff, but we you know we're two were too
small for that. We've been too lean for being able to do things like that [012]
Sensemaking (5) (Appendix G, Table 15)
A related notion is that of 5A Assessing signals and dynamics in the environment.
Informants detail ways how they attempt to create meaning with the information, that is
signals or dynamics, they observed in the environment, for example by outlining specific
indicators.
looking at raw material prices makes sense that'll maybe understand disruptions,
in particular when there is a development what is simply not reflecting real world,
what is simply a crazy development [001]
Informants also put emphasis on the sense making ability of the firm to be able to assess
dynamics in the environment as persistent trend or temporary disturbance.
Uncertainty is, is it a trend? A do we have to adapt to this trend or is it another
hiccup? [021]
90
Exploring (C)
Exploring relates to inherently entrepreneurial activities and processes within the firm
that are dedicated to seeking opportunities on the one hand and strategising on the other
hand. Distinct from the abilities summarised as sensing, the explorative dimension of
resilience behaviour focusses on the entrepreneurial aspect of firm-level responses to
disruptiveness. Exploring considers aspects of purposefully seeking opportunities and the
more longer-term focussed capabilities and processes that constitute strategising. A temporal
perspective therefore seems important, that is opportunity seeking seems to emphasise the
short- and medium-term perspective, while strategising seems to put emphasis on the longer-
term building and sustaining of firm-level advantage.
Opportunity-seeking (6) (Appendix G, Table 16)
The idea of purposeful, inherently entrepreneurial, opportunity seeking behaviour that
firms engage in, seems to be of particular importance in disruptive times. While firms engage
in sensing activities to identify changing and potentially disruptive dynamics in the
environment, firms purposefully, and entrepreneurial in spirit, seek opportunities that enable
the firm to predominantly reconfigure its asset base, processes and underlying capabilities.
6A finding new opportunities describes how firms engage in active and purposeful
entrepreneurial behaviour that produces new business opportunities for the firm. One
dimension of this concept is engagement in M&A activities.
I might buy a competitor. It's at out of bankruptcy eventually even, and buy just
the machines and the people from the market [006]
Informants outline another dimension of this concept as the redeployment of extant
capabilities of the firm to capitalise on new business opportunities arising in the current
environment.
91
What if we got now in types of capabilities that other companies could utilize
that may not lie within our normal core area […] and those can also be used for
other things. So, there are a lot of companies out there who are looking for new
locations where they could have a company like ours manufacture just [product]
but just [product] [008]
Informants also note the importance of business model innovation initiatives as a form
of opportunity seeking behaviour.
I would say starting at the last quarter of last year and we are looking intensively
into new business models how we could interact our customers with [003]
The concept 6B cultivating new relationships puts particular focus on exploring new
ways of interacting with potential customers and consumers. This was strikingly interesting
as the characteristics of the current disruptive environment and the consequences of those,
forced firms to especially focus on these activities.
Can we establish a virtual contact which in the end leads to a concrete business?
[…] will we succeed to bring business partners together virtually? [004]
If you are looking for new partners and there is more difficult because you don't
always get those sorts of subliminal signals. As is my message coming across or
not, it's more difficult when you see somebody meet for the first time on [007]
It works quite well to continue business on the digital format, but very difficult to
initiate new business contact [016]
Strategising (7) (Appendix G, Table 16)
Strategising refers to the capabilities and processes that underpin path finding, where
the focus is on the long-term strategy of the firm. The fact that informants explicitly
mentioned this aspect, represents a rather positive dynamic in disruptive times, in that firms
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were able to find time for purposeful strategising. In essence, strategising can be viewed from
both an essential as well as opportunistic view. Essential, that is the firm is forced to instil
strategic change to adapt to the changing environment, opportunistic, that is, the firm
focusses on future opportunities and how the firm will appropriate superior value in future,
not in response to forced adaptation by the disruptive environment.
7A Path finding emerges from informants’ emphasis on the ability to strategise in times
of disruption, that is, the necessity to (also) focus on formulating corporate strategy by for
example changing the firms’ value chain position.
Be creative in in in filling gaps which some somebody else left, not necessarily
your competitor, but eventually also those guys in line of your value chain before
at the end. There will be opportunities which were unthinkable before this
pandemic, which might be something which is now on the table, which you might
look at and say, well, why not? Let's go that way. Let's extend into the value chain
for example or target new markets with new competence, which I have [006]
Interestingly, one informant detailed how the current disruptive environment enabled
the firm to strategise and to think about where they can move as a business in a more holistic
manner as a consequence of the change in work environment configuration by freeing up
resources in the form of both time and managerial attention that can be dedicated towards
strategising.
The third thing we did was think take the opportunity to not have to run it around
airports and catch trains and airplanes and things to sit down and think in a much
more holistic manner. Where can we move the business? [008]
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Buffering (D)
Buffering relates to firm-level responses that buffer the impact of disruptiveness on
various aspects of the firm. Informants detail how firms buffer by maintaining (ensuring
financial, short-term, survival and ability to operate), by levelling-up (bringing various
stakeholder groups to the same level during disruptive times) and by pacing (the pacing and
timing of steps taken in response to disruptiveness).
Maintaining (8) (Appendix G, Table 17)
As part of the transformative and effectuating aspect of firm-level responses, the
category asset efficiency details activities of the firm geared towards achieving an increase in
efficiency of existing assets.
The concept 8A ensuring liquidity summarises aspects of a firms’ focus on financial
stability in disruptive times. Informants do emphasise the role of excess resources in being
able to ensure liquidity of the firm.
I would spend more time in in finding those reserve resources which I would need
in the case that something goes completely wrong. So, these contingent
resources which you need to remain in the position where you can act where you
are not forced to react to something which is out of your control [006]
Informants detail a variety of dimensions that firms ought to focus on when aiming to
ensure liquidity, that is, financial stability expressed as liquidity risk.
You start immediately to evaluate the short-term risk starting with the liquidity
risk. And then be able to survive in the next week in the next month in the next
year [010]
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A cash flow problem, yeah, so and for. And this is if the case the crisis would put
the trigger on longer, but really would become very severe cash flow problem
[018]
I think this is at the very heart of at the very centre of your topic is. [...] you know
when a company like us is faces rough air, tough conditions Cash is King [021]
The concept 8B keeping operations running details the way how firms secure their
ability to produce and operate.
In the first couple of weeks, it took maybe 70-80% of our time and try to manage
this crisis and set countermeasures to counterbalance whatever has to be done
quickly keep the operations afloat […] the focus of the key management team
changed to keep the operations going [003]
Analysis suggests that the nature of the disruption impacts this concept, in that firms
need to ensure workplace safety and the ability for employees to operate production plants,
handle commercial transactions. Also, statements suggest that the structure and focus of the
firm impact the way how firms ensure the ability to operate and produce. That is,
manufacturing firms with heavy asset position ought to take different decisions differently as
for example firms in the professional services sector would need to.
One thing is what are the measures the economic measures not related to the
workplace, but the economic measures to be taken to cope with covid. As we've
discussed before, there was that question around demand um and um? So we
had to make decisions regarding how we manage the purchase of our material,
yes. How we manage the level of inventory? How we deal with you know our
plant which are flexible but with limited extent very often, so you cannot really
adapt [021]
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Levelling-up (9) (Appendix G, Table 17)
As the first dimension of asset efficiency-directed firm-level responses, (9A) the ability
to communicate and motivate outlines the firms’ abilities to communicate within the firm
and with its network of stakeholders as well as the motivational aspect of leadership
behaviour done through, for example, facilitation or even enactment of knowledge sharing.
So, we let's say we transfer the plans and the action plans from Singapore or
China to 1st Italy. Then we also had it in Germany and also in in the other
European countries. And then we also offered this knowledge to our colleagues
in North America [002]
Informants also detailed how firms need to put particular emphasis on adapting their
way of communicating with stakeholders in their environment.
For the first time, they had to consciously think about it. How do I communicate
with my employees? [...] gave a whole new awareness to it. Questions such as
information density, information frequency, information scope, high relevance,
and these were also addressed accordingly [024]
Another aspect of this concept is the firm-level ability to motivate employees despite
disruptive environmental conditions.
The first question I wanted to have answered: How to be … let's motivate people
in terms of how we lead people and what is leadership in times like these. The
precise question was like which leadership principles to be apply until we can
travel again [002]
Another dimension of asset efficiency-focussed activities is 9B nurture (existing)
customer interactions. Informants detail how firms change the way they interact with their
current customer base, that is, existing customer relations. The aim of firms is to keep or
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enhance the level of intimacy with their existing customers despite the disruptive
environment.
Then it comes as well to your intimacy with your customer base. And this can be
a key differentiator if you know, uh, the people you do business with is certainly
much easier than if you don't know [them] [010]
Informants also infer the advantages of having a geographically diversified firm
portfolio, as firms are better able to continue nurturing existing customer relations. Firms do
however still have to maintain personal interactions where absolutely necessary, which
increases complexity of doing business with current customers.
When I talk to the [country] export managers, they reiterate this experience, they
say, oh, we have to come over now. Finally, even though we have to go to
quarantine in because we have a number of projects in the pipeline which get
stuck. 'cause if you don't do the final how to say negotiating rounds personally
your local business partner is very reluctant to sign any contract without final
personal business legalization [016]
Pacing (10) (Appendix G, Table 17)
Informants detail how firms buffer by pacing through elaborating on the way how firms
enact, that is implement, and how they take a step-by-step approach in adapting to changing
environmental conditions. Pacing therefore describes how firms plan changes and
adaptations to their resource based by prioritisation and timing.
10A enacting implementation details the way how firms enact changes in disruptive
times more generally.
What we typically would do? Would be we would take a few people, 1-2 maybe
3. We would, people we have confidence in. We would challenge them to engage
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the organization, the rest of the organization and build followership right and
build excitement build followership, build a willingness of people to say I'm
prepared to invest in your idea [013]
This concept also elaborates on the way how decision-making behaviour is changing in
response to the disruptive environmental conditions.
It's getting more cautious. I think […] the decision process in itself, and also the
realization of those decisions already made, is done in smaller steps [006]
So, he spent a lot of time looking for new systems together is better organized
for central filing other protocols that everyone can access them so [007]
How do you? How do you do this in a way that we can handle it? You know
something which might normally need a huge plant [008]
An interesting notion is detailed by informants and summarised here as 10B step-by-
step approach. Informants repeatedly outline a temporal and contextual dependence of
activities firms take, thereby implying the notion of prioritisation of activities.
I told my team is its first cut [cost], second one is survive and the third point is
rebuild [002]
First, our first steps were focused on the health and safety of our employees […]
of course it moves on to business continuity […] then recovery after August when
things started to recover. It was then a case of how do we ramp up our business
at the same pace to ensure that we can continue to service our customers. So,
there's been different stages [011]
First liquidity and if you if you have enough liquidity and if you know that you can
survive then you can think about strategic issues [025]
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Reconfiguring (E)
Reconfiguring denotes abilities and processes within the firm that enable redistribution
of assets across the firm portfolio, that is, diversifying, resourcing and increasing fungibility of
firm assets.
Diversifying (11) (Appendix G, Table 18)
The fourth dimension of firm-level responses is focussed on the transformative and
distributive capabilities that firms develop and deploy during times of disruptions. Informants
detail the notion of (11A) strategic change (pivot) as one of the key elements of the
transformative dimension.
I mean I would go as far as to say that we've almost pivoted the company to like
a different direction completely [005]
But a lot of revenue generation is downstream of that. So, when you've actually
made the product and you're going to the consumer and saying we're selling the
product for consumers, there's a very large revenue [008]
let's just take this to the next level and see how we can pivot our business model
and actually. Benefit from this situation [020]
One informant in particular notes how these strategic changes or pivots might require
changes to the organisational structure, hierarchy or firm portfolio. That is, a shift in value
chain position, might require corresponding strategic changes in the organisation.
They had their entire research facilities organized before as a laboratory, now
converting into a company that brings in money for the first time yes, they didn't
have a product on the market before. That means therefore, you need now a
completely different organization [024]
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The notion of (11B) diversification has been discussed on numerous occasions,
emphasising the importance of a firms’ ability to diversify across a variety of dimensions, such
as geographical diversification
geographic footprint as we are in the position that when China was down, we
still have good business in Europe and the United States. And then when the
pandemic arrived in Europe and the United States, China already was working
like it was before, almost [001]
Informants also emphasised the role of diversification across the dimensions product
portfolio, position in the value chain, market segment, customer (size).
You don't want to be dependent on one client. You want to be dependent on a
broad range of clients with different requirements […] if one of them falls off, you
still got the others, so that because it's also very important to us when we're
looking at metrics is to say that we have not just the number of projects, but the
number of different clients involved behind this project [008]
It's also the production process. We operate both upstream in the value chain
which is very capital-intensive part of the business and we operate downstream
or it's more, let's say batch process much less capital intensive but more labour
intensive R&D intensive [010]
I think one big strength of our companies would be very diversified. We operate
in a lot of different segments [019]
Resourcing (12) (Appendix G, Table 18)
Resourcing summarises notions of changing the way how firms acquire, retain, deploy
and renew resources under disruptiveness, dimensions of which are restructuring and firm-
as well as personal-network, that is the individual’s personal network, activation.
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12A restructuring the organisation describes how firms adapt their organisational
structure, hierarchical structure, restructuring of resources and firm portfolio to increase
asset efficiency in times of disruption.
streamlining on the one side […] so we did a lot of restructuring. We closed a lot
of locations [002]
I mean we did some rationalization so we closed down several of the offices we
have rather reduced the footprint but only not on in a way that the customer sees
or recognizes this [019]
Well, some have decided to restructure their personnel too. I mean, in most cases
was a reduction in personnel or streamlining, or getting the right people on the
right positions [022]
One informant puts additional emphasis on the notion of organisational
transformation, that is a combination of firm portfolio, hierarchical structure and other
aspects.
how to transform organizations that are historically hierarchical, so this is a
difficult process and I think you cannot simply switch the organization from A to
B, so turn from 1 to 0. Or the other way around, 0 to 1, is not possible [015]
Another key element of the distributive dimension of firm-level responses is 12B
network activation, summarising informants’ insights on the important role of a firms’ ability
to build, nurture and activate networks.
The knowledge of the of the business community with its suppliers. It's a
neighbourhood, it's a [...]. It's in your customers and that's very, very important.
And my personal feeling is that in the future it will be even more important than
in the past [010]
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Further analysis of informants’ statements suggests a more nuanced view of the
network perspective in that networks are both inside and outside of the firm, both of which
seem to be important.
I think you know also is very, very fundamentally driven by connectivity to your
organization […] So I think you have to organize your networks. Both externally
and internally to facilitate information flow […] I think you have to have that that
the strong external networks and an intimate internal communication [013]
Fungibility (13) (Appendix G, Table 18)
Fungibility explains activities aimed at increasing or ensuring the fungibility of firm
assets, important to the process and dynamics that underpin resilience behaviour of the firm.
The concept 13A developing parallel capabilities denotes the firms’ ability to do
activities concurrently that might be contradictory in nature. Informants mentioned a variety
of dimensions, such as decision-making behaviour.
So, managing this balance between speed and rationale something critical, and
it's up to the management to reassess this [010]
managerial attention focus
You know it's as a as a someone in a leadership position obviously the pandemic
has been the primary focus, but it cannot be the only focus of the management
and you know you need to still think about the other things that are out there.
The other growth projects that we have underway [011]
strategic focus, i.e., the focus on differing targets
One of the key features of what we did was we need to have a two-fold mind to
manage the crisis and prepare the future […] In fact we as a company we have
diversification and consistency, which seems to be a bit counter intuitive [021]
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Informants detail how the notion of agility becomes an important aspect of firm-level
responses, summarised as 13B stimulating agility. Agility can be seen as distributive given
that the responsibility to make decisions and changes are distributed across the organisation.
So, stimulating agility was one of my major focus. Not necessary because I had
to, but making people understand that there is no time so waiting cannot be the
easy answer [010]
Stimulating agility can also be seen as inducing distributed decision making
I think it's fair to say that we are a centralized company. And there were a number
of decisions that were made by the comex on the basis of you know things being
reported to the crisis by this crisis committee. But at the same time there were
many, many things decided at the local level because it's impossible. First, I think
we have 140 production sites in the world and there is no way a group of eight
people can decide on the day-by-day basis where this to being produced for all
these plants for the following week and so and so. So it was a real combination
of decisions made at the top of a company decision maze at the local level within
the business unit [021]
Informants describe agility further as the ability to quickly adapt the organisational
structure and processes.
when I say dynamics have, I need very agile organizations, so that you are able
to quickly adapt when I notice that something is not working. That is of course
from industry to industry different, agile is a stretchable term. That is of course
something different than if I am now a brand manufacturer in the field of fashion
items or industry, it's completely different, but in both cases of course it's about
agility [015]
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Situational Moderators (F)
Response formulation and enactment as reaction to disruptiveness is moderated by a
number of situational factors, mentioned by informants. Those situational moderators are
below clustered in amplifiers (effecting the relationship between disruptiveness and sensing
and exploring), integrators (effecting the relationship between sensing, exploring and
buffering, reconfiguring) and levers (effecting the relationship between buffering, exploring
and resilience outcomes).
Cognitive-Amplifiers (14) (Appendix G, Table 19)
Informants detail the contingent role of 14A managerial focus in the formulation and
enactment of responses to disruptive environmental conditions. One of the key dimensions
of managerial focus outlined here is the strategic focus, aptly described by informants.
I think in the second half we came back to what's key management is actually
paid for, to look into the future [003]
All of a sudden short-term survival things become very key normally, especially
in a big organization [010]
One informant further details a change in managerial focus in disruptive times
We spend time strategizing that maybe more than we did before, even because
we have in principle, we have more time now because there's less travel as less
[007]
The notion of (14B) prior experience has been detailed by informants. One informant
notes the important role of prior experience, and learning therefrom, as a reference point for
making decisions.
Without a history without a knowledge base, I mean typically 90% of the
decisions we make on a day-to-day basis. I believe even probably even higher
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than 90% there is a foundation of history to that decision, yeah? When we have
a downturn. We know that you gotta look at cost […] for the first time in our lives,
we had a management team of a dozen people who none of us have been
through this before [011]
One informant details the reassuring role of prior experience as a reference for
disruptive times.
You know it's just the knowledge that however tough things get, that is possible
to come out the other side is and experience having done that before is an
important component of that for sure [012]
Another view details both the positive and negative consequences of prior experience
It definitely has advantages and disadvantages because if you have prior
experience in a crisis you know how to react and you are probably better able to
react soon, to react sooner, you probably react stronger because. You know how
harmful a crisis can be. Um, and you also probably know which measures can be
taken. Yeah. Um? On the other side, I think in this case, as digitalization is a major
topic in this crisis, I think that companies that have managers [...], that are
younger or are. Um? How should I say this? It's, uh, it's digitalization is. It is a
major topic, probably younger managers have more ideas or are more willing to
change? [025]
The concept 14C slack resources summarises informants view of slack resources as
contingent factor with a focus on a priori excess resource generation and the consequences
of such resources for response formulation.
I would spend more time in in finding those reserve resources which I would need
in the case that something goes completely wrong [006]
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if you as companies that that were easier to adapt they have a stronger financial
base, they had a stronger source of internal funding, so when you have already
an established business model, your revenue funded [...] and then of course we
ideally also have reserves to like weather a crisis [020]
Decision-Enablers (15) (Appendix G, Table 19)
Decision-Enabling factors impact the relationship between sensing, exploring and
buffering, reconfiguring by facilitating better and faster decision-making. That is, through
specific firm governance structures, organisational culture and higher levels of team
cohesiveness firms are enabled to better integrate the processes and capabilities that
underpin sensing and buffering as well as exploring and reconfiguring respectively.
The effect of firm governance & size (15A) has been detailed by informants, noting that
governance structure, that is privately held vs. publicly listed, or other factors such as board
composition, firm size, both the number of employees and size of fixed asset base,
hierarchical structures are important dimensions of this concept.
we are a public listed company, so we have to report quarterly figures. So we are
not in a position to say OK, so pandemic will last for a year for a year. I don't
make any profit and forget everything and after the year OK, we start off again
[001]
I mean, financial resources, as you know we are a publicly listed company. Profits
from one year distributed, typically to the shareholders. So I think there's no
financial resource to be build up for a rainy day [003]
Like we have no obvious hierarchy, we don't have red tape, everything is very
casual. So then. The guys who have been with us for a while like understand that
flexibility and they have to be adaptable to circumstances [005]
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So very hierarchical structures I think are not really useful, for adopting quickly
[019]
Informants further detail the contingent role of the (15B) effect of organisational
culture in disruptive times. Dimensions include cultural distance and the impact of
geographical diversity of the firm on organisational culture.
The messages that are differently transported. Yeah, so. And then guy from the
United States will transport their sentiment different to, uh, somebody from
China, you know that [001]
I think the that's a good example where organizations have to have the facility
to recognize when something is important in one portion of the market that they
are dealing with right and not compromise their values [013]
Another dimension is the firm-specific culture, as detailed by informants
But it is also a weakness because we don't bring in enough people who want to
think differently who want to disrupt our organization when you have a group of
people who already think about the way things have always been done, it's hard
to change. When you bring people in who think differently, have a different idea,
different vision, and give them a voice. Yeah, and then also give them the ability
to try it and take a risk. That drives a change in culture, which is quite important
[011]
The third dimension of integrating conditional factors is summarised as 15C team
cohesiveness. Informants explain the important role of (top management) team closeness in
disruptive times.
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I think the dynamic of our management has also changed. We have become
closer as a management team. From a communication standpoint from a best
practice sharing standpoint from a knowledge management standpoint [011]
change in a good way, I would say you know, changing in a way that I think we
we're closer basically more objective and in principle actually we're getting more
inclusive, than exclusive [023]
Resource-Levers (16) (Appendix G, Table 19)
Firms leverage characteristics of the environment to better be able to achieve resiliency
by taking advantage of government support, consumer-led and industry-led innovativeness
as well as increased levels of clockspeed and the leveraging effect of physical resources across
the firm portfolio.
A number of informants have discussed the contingent role of (16A) government
support, that is direct financial support as well as indirect strategic support.
Rebound must be seen different because there is a lot of political actions to let's
say to minimize the effects of the pandemic on one side and on the other side
there is the regional and local, the local performance [002]
A lot of governments came to the party and supported us in quite a few countries,
and I believe the same is true in Austria and other European markets [003]
The only support we got entitlements and we got our reduction in rent [007]
If you look at the Singaporean companies, but this was also due to the help from
the government is huge transformation process […] That thing was government.
It was government, giving them incentives, telling them OK. If you in this industry
you get a support until the end of the year and by the end of the year if you
haven't changed or did anything the financial support is gone [022]
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Informants further outlined the important role of (16B) Innovativeness & clockspeed,
that is the level of (regulatory and innovative) change and market maturity (established vs.
emerging) as well as market-led and industry-led innovativeness of the sector. The level of
change within the industry can also be viewed as industry clockspeed (Nadkarni & Narayanan,
2007), while innovativeness of the segment can be driven by both the customer and peers
within the industry.
OK, obviously biotech is always been inventive and it's always constantly moving,
as though someone claiming they've got the next best thing [007]
Generally speaking, at disruption as an act or as a risk or opportunity, yeah, more
often than not it's in the emerging spaces. Yeah, competitiveness in the capability
by which you manage your business is a good, in my view, at least is where you
see the dynamics of change in existing markets. Not to say that disruption can't
happen in an existing market. It certainly does. It's just a question of the intensity
and frequency [013]
Physical resources (16C) details how a firms’ resources impact the achievement of
higher levels of resilience. Physical resources concern the number of plants or production
sites as well as the scope of these sites. Informants detail how physical resources can impact
the firms’ behaviour.
We're running round about 140 hundred 30 locations worldwide [001]
140 sites in 40 countries with 30 languages and roughly 5500 people [002]
We have like a small scale GMP manufacturing facility and an R&D lab [005]
If you are more exposed downstream, it's much easier to cut cost because you
have smaller plants
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Resilience (G)
Denoted as resilience, the focal construct representing the outcome comprises of both
the notion of value creation and adaptiveness. It is the level of resilience in comparison with
the firms’ peers and prior position that is of interest.
Value creation (17) (Appendix G, Table 20)
Informants elaborate on how success in times of disruption can be measured through a
variety of lenses. The first of which is 17A competitive advantage. Dimensions include a
change in market position (i.e., market share), stronger company (i.e., competitive advantage
has improved), change in business model (e.g., value proposition), strengthened customer
relations, sustainability (beyond ecological sustainability).
Did we gain market share? How do we fare against our competitors? We have
list of competitors which we always benchmark ourselves against [003]
Expand the services that we offer […] I think to find a niche in the market. We
previously didn't realize that we could capitalize on [it] [005]
Probably if you end up in a stronger market position, whatever this position is
defined of, it means if your position in the market has strengthened either
because you had a longer breath than your competitors, or you had a better
customer relation which you nurtured during this stage [006]
I mean, so the combination between share price and sustainability performance,
which includes, by the way, diversity talent management and so on and so forth
is part of it, so if you want to be long term successful you need certainly to have
a good share price or good valuation, but also to be attractive to people. So
people need to think that you're good company to work for [010]
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Securing supply chains and market access, and on the other hand, how does it
actually look with the people and my own employees […]and on the other hand,
what public expectations are there [024]
The second dimension of the value creation category is 17B employee retention.
Informants outline how employee retention can be a measure of success in disruptive times
through attractiveness of the firm for potential employees and criticality of the task
environment.
So if you put off your most qualified people, you might not be able to get them
back. Once business can be done again, you know if you have as a famous
restaurant with the Star Chef and you say to your Star Chef well and your
customers come because of him, and if you put off your star chef and when you
open again you don't have him anymore, then you might not have the same
attractiveness to your clients [004]
We didn't have to like let go of any staff, the fact that we throughout the whole
time did not need to reduce anyone's pay [005]
First because he's very skilled workers and you cannot, you know, layoff these
people and have to hire them back three months later. It's impossible [021]
Informants also refer to the more obvious notion of 17C financial performance as
measure of success in disruptive times. Statements outlining measures of financial
performance. Dimensions include positive financial result (this could be net income,
profitability), sales & marketing performance (e.g., new customers acquired) as well as a
higher level of adaptiveness of measurement.
I wouldn't say we're in survival mode, so I mean if I look at our business figures,
we're actually doing this year better than in the pre covid year […] another
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benchmark is profitability […] KPIs maybe change going forward you get more
and more into new business ideas or different business logic. Maybe some of the
KPIs I have mentioned now need also to be revisited [003]
We're just looking at basically how many leads we acquired during this time and
how many of those were going to close this actual project [005]
I think we were I mean successful, I think that's been evidenced by we've got new
clients or partners, customers [007]
You know I'm very I'd be very simplistic and at the end of the day, especially with
public listed company and it will be the share price [010]
The key driver again is cash generation. Who is at the end of the day just for
survival standpoint [021]
The fourth dimension of the value creation category was summarised as 17D increased
efficiency. Informants detail how firm-level responses lead to increased efficiency levels
across various dimensions including improved cost efficiency, time efficiency, increased
efficacy of communication.
But on the other side and I'm gaining a lot of efficiency if I'm sitting at home and
doing some kind of […] without having to travel 4 hours […] and this positive
effects on efficiency [006]
A form of doing export business specifically abroad when it's very time consuming
and in the end expensive to travel all the time. Also, the companies have learned
a lesson we have seen that certain parts of their business can be done virtually
can be done digitally remotely. I think that's the essence [016]
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Video conference call is like 1000 times less expensive then then a flight to a
certain country. And if one can see OK I have more or less the same outcome or
more or less the same result. So why bother stepping into a plane? [017]
Informants further outline the notion of 17E survival as one of the main success metrics
in disruptive times. Survival can be understood as persistence of the firm over time. That is,
does the firm still exist after the disruptive environmental conditions have eased.
I think the 1st and important thing is the survival that the company can survive
and then tries to make out the best of the situation [004]
One of the biggest problems at the moment so if someone can survive, this is a
cash flow problem [017]
Adaptiveness (18) (Appendix G, Table 20)
The second category of how firms measure success in times of disruption is the notion
of adaptiveness expressed through flexibility and adaptiveness. Informants detail how
success can be measured as a form of 18A flexibility (implied transformability, ability to act
quickly and decisively). Dimensions include structural, strategic and operational flexibility,
that is, have these changed over time.
Some changes are improvised and, on the spot, and out of the necessity [004]
Yeah, and that's how you can measure a company how flexibly they are if they
will be successful, yes or no [009]
At which speed you can adapt yourself to a situation [010]
And that means during a disruption you must be able to manage without reliable
indicators. So there's. Uncertainty in every aspect and even the aspect of how do
we know that we're going the right direction? [025]
113
The second dimension of the adaptiveness category was summarised as a measure of
18B preparedness. Informants describe the notion of preparedness (i.e., being prepared for
changes in the environment and act quickly in accordance). Dimensions include structural
(that is for example the organisational structure), financial (that is financial stability, i.e. have
enough cash to be able to act in crises) and strategic (e.g., the notion of a diversified portfolio,
the notion of sensing and exploring the market) preparedness.
But what would be different now that we would be much better prepared
because we have now structures, in place and what every company should have
anyhow […] We would be much better prepared [003]
At the end of the day, it's a very important checking point in the list of things that
need to be monitored and better to do it before the crisis and when it's not too
late because you cannot change the profile of the company all of a sudden. If
you're not prepared the ground, then it's probably hopeless [010]
That you know you have to be ready for even the most crazy circumstance that
you could never even think of. Yeah, none of us knew that I knew that you know,
18 months ago that that we would be in in a pandemic and it would affect
everything we do [011]
For me resilience is a topic I am prepared and prepared [...] how can I be prepared
[…] I deal with the big trend fields to understand where are fields where I need to
make preparations? [015]
Sometimes you have hiccups, sometimes you have bumps and having it and it
was so in fact the most important things to weather the crisis has been done
before [021]
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An inductive-contingency-based view of Resilience
The emergent model illustrated in Figure 5 summarises the constructs and underlying
dynamics of processes and behaviours that lead to firm resilience. Informants provide useful
insights on the complexity and multi-dimensionality of the focal issue. Multi-dimensionality
refers to multiple dimensions within constructs and complexity refers to the multi-
directionality of the relationships within the model below. Informants predominantly
advocate a rather positivistic view of firm-level adaptiveness and value creation under
disruptiveness. That is, while firms naturally engage in buffering activities aiming at absorbing
and softening the negative consequences of disruptiveness, firms engage in strategising and
purposeful opportunity seeking concurrently.
Figure 5 an inductive-contingency-based model of resilience (own illustration)
17
17
Arrows indicate the relational direction: the signs “+” and “- indicate the polarity of the relationship between
constructs (Perlow et al., 2002). A “+” sign indicates that an increase in the independent variable causes the
dependent variable to increase and that a decrease causes a decrease, that is X
+Y
δY/ δX > 0. A -
denotes that an increase in the independent variable causes a decrease in the dependent variable and that
a decrease causes an increase, modelled as X
-Y
δY/ δX < 0 (Repenning, 2002; Repenning & Sterman,
2002, p. 276; Sterman & Repenning, 1997). Situational moderators, e.g., cognitive amplifiers, represent
situational moderating effects of variables that amplify, enable or lever, similar to what Repenning &
Sterman (2002, p. 277) denoted feedback or reinforcing loops; the effect thereof is denoted by arrows
pointing towards the relationships that those moderators impact, e.g., cognitive-amplifiers impact the
relationship between disruptiveness and sensing or exploring respectively
115
These findings lend support to the notion of parallelism and dynamism in the way how
firms formulate and enact responses in disruptive times. The emergent model illustrated in
Figure 5 summarises the constructs and underlying dynamics. The model suggests that higher
levels of disruptiveness give rise to an increase in both sensing and exploring capabilities and
processes within the firm. The underlying assumption is, that higher levels of disruptiveness
lead to firm-level adaptation as response to changing dynamics. Disruptiveness can be
observed through the lens of underlying dimensions, that are, triggers, impact of the
disruption and temporality. The greater the change in disruptiveness, the greater the impact
on sensing and exploring.
Both, sensing and exploring consequently reinforce notions of buffering and
reconfiguring respectively. Those dynamics, however, exist both concurrently and bi-
directionally. That is, while sensing reinforces the ability of the firm to buffer, buffering also
strengthens the ability and preparedness to scan the environment and make sense of signals
and dynamics. Similarly, the inherently entrepreneurial exploring activities strengthen the
reconfiguring dimension, which seems to also be true for the inverse relationship. Both,
sensing and buffering as well as exploring and reconfiguring enhance firm-level resilience.
Sensing and buffering lead to firm-level value creation while exploring and reconfiguring lead
to firm-level adaptiveness, yielding the two main dimensions of the resilience construct. That
is, the notion of value creation and the concept of firm-level adaptiveness. Whereas the
concept of value creation condenses how firms satisfy a variety of stakeholders of the firm
through, e.g., superior financial performance and increases in efficiency, the notion of
adaptiveness aims to explain how firms foster flexibility and preparedness to increase firm-
level adaptiveness. Superior value creation is therefore driven by the ability and firm-level
116
processes that underpin sensing and buffering, while exploring and reconfiguring lead to
higher levels of adaptiveness.
A contingency-based view of resilience is substantiated by informants’ emphasis on
both the situational moderators and a more nuanced view of environmental conditions that
lead to disruptiveness. Informants detail a variety of situational factors that moderate
relationships between these constructs. Cognitive amplifiers moderate the relationship
between disruptiveness and sensing and exploring respectively. The cognitive-amplifying
effects of managerial focus, prior experience with disruptiveness and the impact of slack
resources on the anticipatory urgency of disruptiveness are important moderators of the
impact of disruptiveness on sensing and exploring. Decision-enablers depict the effect of firm
governance and size, organisational culture and team cohesiveness on the relationship
between sensing, buffering and exploring, reconfiguring. Decision-enablers facilitate better
and faster decision making through, e.g., enhance top management team cohesiveness. The
resource-leveraging effect of government support and market-led as well as industry-led
innovativeness and the level of change within the industry moderates the relationship
between response formulation and enactment and resilience as outcome.
Higher levels of resilience, as measured by the change in value creation and
adaptiveness, impact the level of disruptiveness. These relationships are depicted as value-
loop and adaptiveness-loop. The value-loop describes how higher levels of performance
expressed through superior value creation impacts the level of disruptiveness and therefore
the negative impact of disruptiveness on the firm. That is, higher value decreases the negative
impact of increased volatility and uncertainty, induced by disruptiveness. Similarly, the
adaptiveness-loop depicts how greater levels of adaptiveness, achieved through flexibility
and preparedness, impact disruptiveness.
117
Discussion
While a theory-driven, dynamic capability-view is a useful grounding for explaining how
firm-level capabilities ought to be developed, deployed and nurtured to yield superior firm-
level resilience, an inductive approach (Chapter 3) to resilience yields an emphasis on the
importance of contingent effects of the firm environment, that is, both exogenous and
endogenous environmental factors. It follows, when observing the focal phenomenon in
managerial practise, an emergent contingency-based view of resilience seems to provide a
better and more nuanced understanding of the way how firms formulate and enact responses
under disruptiveness contingent upon characteristics of the disruptive environment and
situational factors that moderate the relationships between constructs.
Contingency-based view. As advocated in the general contingency theory (Hofer, 1975;
Luthans & Stewart, 1977), the optimal managerial response of any given firm is contingent
upon a set of situational factors. Contrary to an universalistic view, which was previously
related to closed systems thinking, a situational view is related to an open systems thinking
(Child, 1974; Luthans & Stewart, 1977). A contingency theoretical view, however, extends the
situational view of optimal managerial practises, to form a more exact and rigorous approach
by outlining the functional relationships between situational, managerial and performance
criteria variables (Luthans & Stewart, 1977, pp. 183189). The contingent perspective of
response formulation and enactment seems useful to form an enhanced understanding of
the way how disruptiveness as well as situational moderators impact response formulation.
Importantly, assimilating a contingency perspective of firm-level resilience seems to provide
an appropriate account of how firms sense, explore, buffer and reconfigure in times of
disruption that is firmly grounded in informants’ views.
118
An increased focus on the contingent effects of the firm-environment allows for the
appropriation of a more nuanced view of how firms adapt in times of disruption. This
extension seems to be of vital importance for an enhanced understanding of how resilience
works and to better apprehend how situational, contingent and aspects of disruptiveness
trigger, promote and impede the adaptation of the firm to its disruptive environmental
conditions. The herein postulated conclusions and emphasis on dimensions of resilience
behaviour therefore have to be viewed from a contingent perspective. That is, situational
variables mould optimal response formulation of firms. The rather dynamic nature of the
model captures the alternating impact of these variables in the environment on the firm.
Dynamism, reciprocity and temporal aspects. The dynamic aspect of the inductive
model relates to the fluidity in response formulation and enactment. More precisely, the
characteristics that determine disruptiveness of the firm-environment impact the way how
firms sense, explore, buffer and reconfigure. Both from a dynamic perspective at the
intersection and interaction of the aforementioned activities as well as a temporal
perspective. Dynamism is rooted in the adaptive nature of the relationships between
constructs. For example, to be able to buffer a negative impact of disruptiveness, firms need
to engage in sensing activities that allow for assessment and categorisation as well as
prioritisation of which dynamics a firm needs to buffer at which point in time.
Dynamism moreover relates to the notion of directionality of relationship between
constructs. An observation, that is particularly prominent in the reciprocal relationship
between sensing and buffering, where activities related to buffering can yield important
learnings that consequently impact the sensing function of the firm. Similarly, the assumption
follows that the way how firms reconfigure informs the way how firms explore through
learning from those reconfiguration experiences.
119
Organisational learning. In consequence, the way how firms formulate and enact
responses to disruptiveness yields experiences, the learning from which can improve firm-
level processes and capabilities. Organisational learning therefore is a vital component of the
dynamic aspect of the inductive model, that is, through learning from experiences firms can
improve the way how they respond to disruptiveness. While organisational learning can be
seen as a moderating variable, that is, the amount of learning from previous experiences (see
the concept 14B prior experiences in Figure 4) within the firm, it can also be viewed as
essential feature of the dynamic contingency-based model of resilience outlined in Figure 5.
Incremental learning takes place at every step along the process of response formulation and
enactment. Importantly, it follows that the learning generated from achieving higher levels
of resilience seems to establish a weakening effect on the negative consequences of the
disruptiveness, ex ante, that is, in contribution to the adaptiveness-loop outlined in Figure 5.
Capabilities and processes that underpin resilience. Informants clearly outline how
firms formulate and enact responses, adapt processes and therefore achieve superior results.
While the concepts of sensing and exploring have previously been discussed (see Table 3
above), the buffering function seems to be an important addition to a more holistic,
contingency-based, view of resilience. Buffering, that is, the absorption and softening of the
negative consequences of disruptiveness through means of maintaining, levelling-up and
pacing, seems to be one of the most important activities that constitute firm-level responses.
The intensity of the buffering function is contingent upon the contingent effect of
environmental and situational variables. Buffering is described by informants through a
variety of capabilities and processes. Buffering by maintaining, buffering by levelling-up and
buffering by pacing. Interestingly, firms buffer by pacing through planning implementation
and taking step-by-step approaches.
120
Further, the analysis shows that sensing ought to be viewed distinctively from exploring,
where sensing activities focus on the potentially disruptive environmental dynamics, that is,
a more logical link with buffering. Concurrently, exploring represents an inherently
entrepreneurial focus on opportunities, to both, be able to achieve higher levels of
adaptiveness as well as medium- to long-term value creation.
Contribution
This paper proposes an inductive-contingency-based view of resilience outlined in this
paper, through which it contributes to the received literature in a number of ways. The focus
on the firm-environment in a disequilibrium state resharpens the focus of the discussion on
managerial adaptation and strategic flexibility under disruptiveness. The dynamism,
reciprocity and recursiveness of the relationships between constructs within the model
outlined in Figure 5 offers an additional, temporal view of firm behaviour in disruptive times.
That is, one shall take a rather longitudinal view of firm-level resilience, warranted to explore
the capabilities and process that underpin resilience. Firms view disruptiveness over time and
adapt accordingly.
The main contribution of this paper is to propose a contingency-based, temporal,
recursive and dynamic model of capabilities, dynamics and processes that underpin firm-level
resilience under disruptiveness. The formulation and enactment of firm-level responses were
found to be contingent upon both situational factors in the firms’ environment as well as the
dimensions that constitute disruptiveness. The temporal aspect of the inductive model
describes how disruptiveness, capability-development, processes, dynamics and situational
moderators evolve over time. Accordingly, adaptation, that is the formulation and enactment
of responses, also evolves over time. These aspects of the inductive model inform the firm-
level resilience literature by extending a contingency-based view of resilience, that aims to
121
offer a more nuanced and holistic view how firms survive and outperform under
disruptiveness. Consequently, the conceptualisation of the inductive model is represented as
procedural model (Perlow et al., 2002; Repenning, 2002) in Figure 5. The construct describing
disruptiveness aims to capture the multi-dimensionality of what constitutes disruption in the
firm environment, including triggers of disruptive dynamics, the impact of disruptiveness on
various aspects of the firm and the temporality of disruptiveness.
The combination of processes, dynamics and capabilities through which firms formulate
and enact responses to the disruptive environment yields a more nuanced and holistic
understanding of resilience and thus aims to provide a fruitful grounding for further study.
The findings of the inductive study also inform literature on organisational learning, that is,
as a promoter of the relationships within the model. In other words, each relationship
contains notions of organisational learning, that is vital for increased value creation and
enhancing firm-level adaptiveness.
Limitations and future research
The inductive study has several limitations. The issue of generalisability of the emergent
theory ought to be addressed. While this paper focusses on theory-building through
exploratory research, the limitations of the qualitative interview approach and theoretical
sampling may pose issues for the generalisability of the emergent theory. Therefore, further
quantitative research to extend the validity of the emergent model will be useful and is
strongly encouraged. A follow-up study shall test the derived relationships among constructs
and the underlying dynamics.
Further, potential issues of endogeneity have to be discussed. The capabilities,
processes and dynamics that lead to resilience as outcome, that are, sensing, exploring,
buffering and reconfiguring, may themselves be induced by, not only moderated by, other
122
variables such as prior experience, resource availability or managerial attention focus. Further
research, both qualitative and quantitative in nature, could be useful to counter issues of
endogeneity in the emergent model.
While this paper proposes a contingency-perspective of firm-level resilience and
thereby suggests a disruption-specific view, it seems exceedingly difficult to draw the
boundaries to the processes, capabilities and dynamics that are in place in non-disruptive
periods. Therefore, further (quantitative) study might reinforce the validity of the emergent
model across various research settings.
The interpretation of the interview data yields a rather proactive view of firm-level
behaviour, where managerial action is intentional. That is, firm-level behaviour is proactively
planned, executed and evaluated in times of disruption to adapt to changing environmental
conditions. However, managerial action might be based on intuition, rather than intention.
Further study might therefore add clarity.
This study is not free from selection bias in the form of survival bias of the firms and
informants sampled. In the context of disruption and resilience, it seems particularly
challenging, however, to combat survival bias as one of the main aspects of resilience
outcomes is survival. While in principle this form of selection bias cannot be entirely avoided,
one can sample from the population with the greatest possible care to include polar cases or
firms. That is, sampling participants and firms where the emerging theory will likely not hold.
While measures were taken to limit recall bias, this study cannot guarantee to be free
from the influences of participants’ recollection biases. Further expansion of the sample and
quantitative theory testing may increase validity of the emergent theory overall and
therewith counter potential biases introduced through the focal sample.
123
Concluding remarks of the thesis
The scholarly discussion on how firms survive and outperform in times of disruption has
been at the centre of academic attention for some time, and, increasingly so in recent years.
Particularly, in the current environment, useful guidance is needed for firms to navigate
disruptive environments. That is, insightful from an academic point of view and practically
relevant from a managerial point of view. This thesis aims to contribute to the ongoing
discussion and to extend the literature on firm-level resilience, dynamic capabilities and the
contingency-theoretical view of resilience under disruptiveness.
The aim of both proposed views is to provide stimulating insights to how firms survive
and outperform in disruptive times. The conceptual dynamic capability view provides useful
guidance to the study of how capabilities are developed and nurtured by firms during
disruption, while the inductive contingency-based view extends our knowledge of the
contingent effect of the firm-environment and the various dimensions of disruptiveness.
Therefore, these distinct views provide useful contributions to the respective literatures. In
combination, both views may inform academia and managerial practise.
In brief, the conceptual dynamic-capability view of RESCAP extends the resilience
literature by informing about the capability dimensions, potential and realised RESCAP, the
emphasis on the disequilibrium and by fostering a multi-dimensional view of RESCAP and the
disruptive environment. Useful insights that may extend the dynamic capability theory are
provided by framing the exploring capacity as a distinct dimension (Chapter 2, Figure 2). The
inductive paper extends the resilience literature by providing a contingency-based view that
manifests as a fluid, dynamic, recursive model of response formulation and enactment
(Chapter 3, Figure 5), providing useful grounding for future research. A summary of findings
and limitations specific to both studies is shown in Appendix K and L.
124
Limitations of the thesis and future research
While the contributions and future research directions are noted in the respective
discussion section of each paper, the below limitations of the thesis show a more general
view of both limitations and future research directions, as summarised in Table 8. These
general limitations shall offer fruitful avenues for further research across a variety of domains
and thereby advance a theory of firm-level resilience in the literature that, too, is exceedingly
relevant for managerial practise by providing relevant insights across domains and sectors.
While the research process, specifically in Chapter 3, yielded insights in the underlying
processes, capabilities and dynamics of creating, nurturing and sustaining firm-level
resilience, one ought to consider the limitations to transferability of the findings to other
contexts. Therefore, a quantitative follow-up study would be beneficial for theory testing and
validity-increasing purposes. The conceptual paper (Chapter 2) aims to provide a useful
theoretical framework of RESCAP from a dynamic capability perspective that informs the
capability literature. The focus of this paper is to provide a framework, the propositions
suggested could be fruitful grounding for further study, where the focus lies in (quantitative)
theory testing. Similarly, while the inductive-contingency-based view of firm-level resilience
may offer a useful model of firm-resilience under disruptiveness, further theory testing work
would enhance the credibility and transferability of this model.
The theoretical sampling process in Chapter 3 focussed on the sampling of polar
informants and firms, that is, a focus on instances where the focal theory might be differently
applicable or not hold at all. While the intend herein is to create a parsimonious grounding
for the contingency-based model, further qualitative and quantitative study of specific sectors
will be useful to further carve-out the specificity of the various contingent effects of both
disruptiveness and situational moderators in various research settings. It might prove useful
125
to further investigate how different industries perceive the impact of certain disruptiveness
dimensions, or situational moderators differently. For example, the way how prior experience
impacts firm survival in a rather young, entrepreneurial industry might be different compared
with a mature industry segment or ecosystem, where firms hitherto have accumulated vast
amounts of prior experience with previous disruptiveness.
While this thesis limits its focus on a strategic management view of firm-level resilience
through a dynamic capability and a contingency-theoretical view, scholarly attention could
further expand an economics perspective of engendering and appropriating rents. Keyhani et
al. (2015) provide a useful view on how firms pursue entrepreneurial rents. This view may
prove useful in firm-level resilience research, by informing on how firms pursue which form
of rent, or combinations thereof, in times of disruption and thereby informing the micro-
economic literature on how firms engender and appropriate rents under disruptiveness.
Additionally, the basic assumption of these studies, that the environments that firms
are in are shaped by the tenets of disequilibrium, might be an interesting avenue for future
research. That is, taking an economics view of how firms and ecosystems alternate between
periods of (dis-)equilibrium, further research may find valuable insights of a temporal aspect
of the transition from equilibrium to disequilibrium. This may inform the resilience literature
by adding an additional nuance to the procedural and temporal view of how resilience
behaviour emerges.
Chapter 3 focusses on the interpretation of informants’ views of firm-level resilience.
Further study could extend the rational heuristics literature (e.g., Bingham & Eisenhardt,
2011) to conceptualise simple rules of resilience. Notions of these heuristics were mentioned
by informants detailing the pacing concept, which describes firms taking step-by-step
approaches towards firm-level responses in disruptive times. The heuristics literature might
126
provide an useful perspective to extend this stream of research (Gigerenzer & Gaissmaier,
2010; Luan et al., 2019; Neth et al., 2014; Tversky & Kahneman, 1974). A related area is such
of how decision-making processes take place under disruptiveness. While crowded, this
research area might be interesting for scholars who want to investigate the ways how firms
make decisions when building, nurturing and retaining resilience under constraints.
Further research on the impact of firm governance types, e.g., privately held versus
publicly listed firms, might provide an interesting avenue for scholars who are interested in
the impact of corporate governance aspects on response formulation and enactment. This
follows notions mentioned by informants on how the type of firm governance impacts
resiliency, e.g., the concept of firm governance & size (15A).
Research on network effects could further expand on the emphasis that informants
have put on the impact of firm-level ecosystem, e.g., network activation (12B). Additional
qualitative study might be able to carve out a more detailed view of the effect of network
activation and structure on firm-level resilience. Network activation was strongly emphasised
by informants to be of particular importance in disruptive times, therefore further insights
might inform both the resiliency literature and network literature.
While not mentioned by informants in the empirical study or detailed in the theory
paper, characteristics of the TMT may play a particularly salient role when firms formulate
and enact responses to disruptiveness. Thus, research on the impact of TMT characteristics
and the composition of management boards might yield valuable insights to advance our
understanding of firm-level resilience. Findings may inform the corporate governance
literature by outlining the specific TMT characteristics of highly resilient firms. Further
research on the impact of TMT diversity on firm-level performance and adaptiveness under
disruptiveness might be an useful extension of the literature concerning TMT characteristics.
127
Further study could be aimed at determining specific, distinct, crisis patterns based on
the dimensions of the environmental conditions identified in both the conceptual paper as
well as the empirical paper. An additional investigation could be based for example in the
environmental conditions literature (e.g., Eisingerich et al., 2010; Keats & Hitt, 1988; Sirmon
et al., 2007) or the contingency-view of the firm (e.g., Boyd, 1995; Drazin & Van de Ven, 1985;
Hoffer, 1975; Luthans & Stewart, 1977). This could expand upon statements made by
informants in the empirical study above relating to the detection of crises.
The empirical paper yielded a contingency-based view of how firms formulate and enact
responses under disruptiveness. One of the ways firms adopt to these environmental
conditions is by buffering. Applying a capability perspective to this dimension of firm
adaptation may yield useful insights that extend the literature on dynamic capabilities (Teece
et al., 1997) and capability development and lifecycle (Helfat & Peteraf, 2003). Further study
may extend the capability literature by forming a more nuanced and finer distinction between
other, previously established, dynamic capability dimensions, that are, sensing, seizing and
transforming (Teece, 2019), and the emerging buffering dimension. That said, however, one
ought to consider the limitations of the empirical study (Chapter 3) and that the buffering
dimension had not emerged as a distinct capability, rather as a concept that summarises the
processes, dynamics and capabilities firms develop and deploy under disruptiveness to buffer
the negative impact of disruptive dynamics (see Appendix G, Table 17).
Considering a longitudinal view of firm-level resilience, further study may explore how
resilience response formulation and enactment changes over time. That is, while buffering
and exploring arguably are in focus in the earlier stages of disruptiveness, later stages of
response formulation and enactment might emphasise behavioural action over cognitive
action. However, as the contingency-based view of firm-level resilience advocated in Chapter
128
3 proposes, the process of formulating and enacting responses in disruptive times may be
fluid, dynamic, reciprocal and recursive. While prior scholarship in-part explored the
sequential process of organisational resilience based on a capability-view of firm-resilience
(e.g., Duchek, 2020), further study could tease out the temporal dependencies of capability-
development and deployment or the procedural aspects of response formulation and
enactment more generally. Further investigation could be based in a number of literatures,
such as organisational learning (March, 1991) and capability evolution and lifecycle (Helfat,
2000; Helfat & Peteraf, 2003; D. Levinthal & Myatt, 1994). This discussion can be viewed from
a variety of perspectives, such as, one, the evolution of resilience responses and outcomes
longitudinally and, two, by viewing resilience as a dynamic capability of the firm and the
evolution of such dynamic capability over time.
While the focus of this thesis is on the organisation as the unit of analysis, further study
may extend this view and thereby continue earlier thoughts to the level of ecosystem or a
more detailed investigation of the processes, capabilities and dynamics that take place on a
team-level (Weick, 1993). Extending earlier work on team-level resilience, as opposed to
individual-level resilience
18
, may for example yield valuable insights for the formulation and
enactment of resilience responses on a firm-level. Simply put, the assumption may be that
the firm is to some extend the sum of its subsystems, that is, teams, processes and units. This
view may therefore also be extended to the firms’ sub-units, in other words regional, strategic
or product-specific units and teams within the organisation.
18
A plethora of research has investigated the resilience construct on an individual-level, that is both outside
and within the boundaries of an organization. See for example the research on individuals’ psychological
capital or entrepreneurial resilience in venture formation (Hayward et al., 2010; Hillmann, 2020; Martinelli
et al., 2018; Youssef & Luthans, 2007). The focus of this proposed avenue should be on how teams form
resilient responses.
129
Table 8 general future research directions
Issue
Possible theoretical lens
(exemplary studies)
Potential research question
Quantitative theory
testing
Either a capability or a contingency
perspective
Enhance the transferability of these views to
a broader sample of firms across various
sectors
Expanding
theoretical sampling
Contingency-based view of firm-
level resilience
How do firms survive and outperform in a
specific sector vs. another sector? How is
the impact of specific constructs
different?
Economics
perspective
Entrepreneurial rents
(Keyhani et al., 2015)
Economic equilibrium
(Frisch, 1936; Kaldor, 1972)
Do firms concurrently pursue Schumpeterian
and Kirznerian rents under
disruptiveness?
How can we determine a shift in equilibrium?
How can we identify evolving
disequilibrium?
Simple rules of
resilience
Rational heuristics
(Bingham & Eisenhardt, 2011)
What are the simple rules of resilience that
firms adapt under disruptiveness?
Firm governance
Corporate governance
(Tirole, 2001; Wright & Siegel,
2021)
How does the governance structure of the
firm, impact response formulation and
enactment in disruptive times?
Network effects,
ecosystem
Network activation, change
(Battilana & Casciaro, 2012;
Hernandez & Menon, 2021)
Social network theory
(Eisingerich et al., 2010; Ibarra,
1995; Uzzi, 1997)
How do firms utilise existing networks for
resource reconfiguration?
How do firms purposefully extend their
networks in times of disruption?
How does innovation by co-creation
strengthen firm-level resilience in
disruptive times?
TMT characteristics
TMT diversity
(Prahalad & Bettis, 1986)
Board composition
(Goodstein et al., 1994)
How do TMT characteristics impact firm-level
resilience behaviour in disruptive times?
Crisis patterns
Environmental conditions
(Keats & Hitt, 1988)
What are distinct patters of disruptiveness
that firms experience?
Buffering
Dynamic capability view
(Teece et al., 1997)
Capability lifecycle
(Helfat & Peteraf, 2003)
Can we establish buffering as a distinct
dimension of the dynamic capability
framework?
Resilience as an
evolvable construct
Organizational Learning
(March, 1991)
Capability lifecycle
(Helfat & Peteraf, 2003)
How do firm responses change over time in
context of changing levels of
disruptiveness and learning?
Unit of analysis
Ecosystem-level
Team-level (Weick, 1993)
How does resilience behaviour manifest on
an ecosystem or team level?
130
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Back matter
Appendix A list of studies reviewed (Chapter 1)
Table 9 studies reviewed, by year of publication
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce19
1
Holling (1973)
Resilience and Stability of Ecological Systems
Annual Review of
Ecology and Systematics
4, 1-23
M
2
Staw et al., (1981)
Threat Rigidity Effects in Organizational Behavior:
A Multilevel Analysis
Administrative Science
Quarterly
26(4), 501-524
M
3
Meyer (1982)
Adapting to Environmental Jolts
Administrative Science
Quarterly
27(4), 515-537
M
4
Weick (1993)
The Collapse of Sensemaking in Organizations: The
Mann Gulch Disaster
Administrative Science
Quarterly
38(4), 628-652
W
5
Holling (1996)
Engineering resilience versus ecological resilience
In: Engineering Within
Ecological Constraints
-
M
6
Coutu (2002)
How Resilience Works
Harvard Business Review
80(5), 4655
W
7
Rudolph &
Repenning (2002)
Disaster Dynamics: Understanding the Role of
Quantity in Organizational Collapse
Administrative Science
Quarterly
47(1), 130
W
8
Hamel &
Välikangas (2003)
The Quest for Resilience
Harvard Business Review
81(9), 5263
W
9
Riolli & Savicki
(2003)
Information system organizational resilience
Omega
31(3), 227
233
W
10
Sutcliffe & Vogus
(2003)
Organizing for Resilience
In: Positive
Organizational
Scholarship
-
M
11
Bruneau et al.
(2003)
A framework to quantitatively assess and enhance
the seismic resilience of communities
Earthquake spectra
19(4), 733-752
M
12
Whiteman et al.
(2004)
Bringing Feedback and Resilience of High-latitude
Ecosystems into the Corporate Boardroom
AMBIO: A Journal of the
Human Environment
33(6), 371-376
E
13
Freeman et al.
(2004)
The Power of Moral Purpose: Sandler O'Neill &
Partners in the Aftermath of September 11th,
2001
Organization
Development Journal
22(4), 69-81
M
14
Sheffi & Rice
(2005)
A Supply Chain View of the Resilient Enterprise
MIT Sloan Management
Review
47(1), 41-48
W
15
Lengnick-Hall &
Beck (2005)
Adaptive Fit Versus Robust Transformation: How
Organizations Respond to Environmental Change
Journal of Management
31(5), 738-757
W
16
Gittell et al. (2006)
Relationships, Layoffs, and Organizational
Resilience: Airline Industry Responses to
September 11
The Journal of Applied
Behavioral Science
42(3), 300-329
W
17
Youssef & Luthans
(2007)
Positive Organizational Behavior in the Workplace:
The Impact of Hope, Optimism, and Resilience
Journal of Management
33(5), 774-800
W
18
Donnellan et al.
(2007)
Editorial Introduction to the Special Issue on:
Transfer and Diffusion of IT for Organizational
Resilience
Journal of Information
Technology
22(1), 3-4
W
19
Lalonde (2007)
The Potential Contribution of the Field of
Organizational Development to Crisis
Management
Journal of Contingencies
and Crisis Management
15(2), 95-104
E
20
Vogus & Sutcliffe
(2007)
Organizational resilience: towards a theory and
research agenda
2007 IEEE International
Conference on Systems,
Man and Cybernetics
3418-3422
M
21
Walch & Merante
(2008)
What is the appropriate business continuity
management staff size?
Journal of Business
Continuity & Emergency
Planning
2(3), 240-250
E
19
source: W = Web of Science, E = EBSCOhost, M = manual addition
174
Table 9 Studies reviewed, by year of publication, II (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
22
Seville et al. (2008)
Organisational resilience: Researching the reality
of New Zealand organisations
Journal of Business
Continuity & Emergency
Planning
2(3), 258-266
E
23
McManus et al.
(2008)
Facilitated process for improving organizational
resilience
Natural Hazards Review
9(2), 81-90
M
24
Sullivan-Taylor &
Wilson (2009)
Managing the Threat of Terrorism in British Travel
and Leisure Organizations
Organization Studies
30(2-3), 251-
276
W
25
McIndoe (2009)
Decade of Risk
Risk Management
56(10),
22,24,26-27
E
26
Elwood (2009)
Using the disaster crunch/release model in
building organisational resilience
Journal of Business
Continuity & Emergency
Planning
3(3), 241-247
E
27
Somers (2009)
Measuring Resilience Potential: An Adaptive
Strategy for Organizational Crisis Planning
Journal of Contingencies
and Crisis Management
17(1), 12-23
E
28
Hayward et al.
(2010)
Beyond hubris: How highly confident
entrepreneurs rebound to venture again
Journal of Business
Venturing
25(6), 569-578
W
29
Herbane (2010)
The evolution of business continuity management:
A historical review of practices and drivers
Business History
52(6), 978-
1002
W
30
Branzei &
Abdelnour (2010)
Another day, another dollar: Enterprise resilience
under terrorism in developing countries
Journal of International
Business Studies
41(5), 804-825
W
31
Gifun & Karydas
(2010)
Organizational attributes of Highly Reliable
complex systems
Quality and Reliability
Engineering
International
26(1), 53-62
W
32
Gibson (2010)
An integrated approach to managing disruption-
related risk: Life and death in a model community
Journal of Business
Continuity & Emergency
Planning
4(3), 246-261
E
33
Bhamra et al.
(2011)
Resilience: the concept, a literature review and
future directions
International Journal of
Production Research
49(18), 5375-
5393
W
34
Burnard & Bhamra
(2011)
Organisational resilience: development of a
conceptual framework for organisational
responses
International Journal of
Production Research
49(18), 5581-
5599
W
35
Lengnick-Hall et al.
(2011)
Developing a capacity for organizational resilience
through strategic human resource management
Human Resource
Management Review
21(3), 243-255
W
36
Zobel (2011)
Representing perceived tradeoffs in defining
disaster resilience
Decision Support
Systems
50(2), 394-403
W
37
Winn et al. (2011)
Impacts from climate change on organizations: a
conceptual foundation
Business Strategy and
the Environment
20(3), 157-173
W
38
Ates & Bititci
(2011)
Change process: a key enabler for building resilient
SMEs
International Journal of
Production Research
49(18), 5601-
5618
W
39
Sullivan-Taylor &
Branicki (2011)
Creating resilient SMEs: why one size might not fit
all
International Journal of
Production Research
49(18), 5565-
5579
W
40
Carmeli &
Markman (2011)
Capture, governance, and resilience: strategy
implications from the history of Rome
Strategic Management
Journal
32(3), 322-341
W
41
Chan (2011)
Enhancing organisational resilience: application of
viable system model and MCDA in a small Hong
Kong company
International Journal of
Production Research
49(18), 5545-
5563
W
42
Linnenluecke et al.
(2012)
Extreme Weather Events and the Critical
Importance of Anticipatory Adaptation and
Organizational Resilience in Responding to
Impacts
Business Strategy and
the Environment
21(1), 17-32
W
43
Smallbone et al.
(2012)
Small business responses to a major economic
downturn: Empirical perspectives from New
Zealand and the United Kingdom
International Small
Business Journal
30(7), 754-777
W
175
Table 9 Studies reviewed, by year of publication, III (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
44
Kantur & Iseri-Say
(2012)
Organizational resilience: A conceptual integrative
framework
Journal of Management
and Organization
18(6). 762-773
W
45
Amann & Jaussaud
(2012)
Family and non-family business resilience in an
economic downturn
Asia Pacific Business
Review
18(2), 203-223
W
46
van Trijp et al.
(2012)
Quantitative modeling of organizational resilience
for Dutch emergency response safety regions
Proceedings of the
Institution of Mechanical
Engineers, Part O:
Journal of Risk and
Reliability
226, 666-676
W
47
Fleming (2012)
Ensuring Organizational Resilience in Times of
Crisis
Journal of Global
Business Issues
6(1), 31-34
E
48
Chewning et al.
(2013)
Organizational Resilience and Using Information
and Communication Technologies to Rebuild
Communication Structures
Management
Communication
Quarterly
27(2), 237-263
W
49
Wicker et al.
(2013)
Organizational Resilience of Community Sport
Clubs Impacted by Natural Disasters
Journal of Sport
Management
27(6), 510-525
W
50
Powley (2013)
The Process and Mechanisms of Organizational
Healing
The Journal of Applied
Behavioral Science
49(1), 42-68
W
51
Tadić & Aleksić
(2013)
Ranking organizational resilience factors in
enterprises using a modified fuzzy analytical
hierarchy process
Ekonomski horizonti
15(3), 181-196
E
52
Whitman et al.
(2013)
Short-form version of the Benchmark Resilience
Tool (BRT-53)
Measuring Business
Excellence
17(3), 3-14
E
53
Teixeira &
Werther (2013)
Resilience: Continuous renewal of competitive
advantages
Business Horizons
56(3), 333-342
M
54
Lee et al. (2013)
Developing a tool to measure and compare
organizations’ resilience
Natural hazards review
14(1), 29-41
M
55
Bullough et al.
(2014)
Danger zone entrepreneurs: the importance of
resilience and selfefficacy for entrepreneurial
intentions
Entrepreneurship
Theory and Practice
38(3), 473-499
W
56
Pal et al. (2014)
Antecedents of organizational resilience in
economic crisesan empirical study of Swedish
textile and clothing SMEs
International Journal of
Production Economics
147, 410-428
W
57
Mamouni Limnios
et al. (2014)
The Resilience Architecture Framework: Four
organizational archetypes
European Management
Journal
32(1), 104-116
W
58
Akgün & Keskin
(2014)
Organisational resilience capacity and firm product
innovativeness and performance
International Journal of
Production Research
52(23), 6918-
6937
W
59
Gilly et al. (2014)
Resilience of organisations and territories: The role
of pivot firms
European Management
Journal
32(4), 596-602
W
60
Richtnér & Löfsten
(2014)
Managing in turbulence: how the capacity for
resilience influences creativity
R&D Management
44(2), 137-151
W
61
Lampel et al.
(2014)
Does governance confer organisational resilience?
Evidence from UK employee owned businesses
European Management
Journal
31(1), 66-72
W
62
Jaaron &
Backhouse (2014)
Service organisations resilience through the
application of the vanguard method of systems
thinking: a case study approach
International Journal of
Production Research
52(7), 2026-
2041
W
63
Duchek (2014)
Growth in the face of crisis: the role of
organizational resilience capabilities
Academy of Management Proceedings
E
64
Ho et al. (2014)
Organizational resilience and the challenge for
human resource management
International Conference on Human
Resource Management and Professional
Development for the Digital Age (HRM&PD)
Proceedings
E
176
Table 9 Studies reviewed, by year of publication, IV (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
65
Sahebjamnia et al.
(2015)
Integrated business continuity and disaster
recovery planning: Towards organizational
resilience
European Journal of
Operational Research
242(1). 261-
273
W
66
Sawalha (2015)
Managing adversity: understanding some
dimensions of organizational resilience
Management Research
Review
38(4), 346-366
W
67
Mendonça &
Wallace (2015)
Factors underlying organizational resilience: The
case of electric power restoration in New York City
after 11 September 2001
Reliability Engineering &
System Safety
141, 83-91
W
68
Valero et al.
(2015)
Does transformational leadership build resilient
public and nonprofit organizations?
Disaster Prevention and
Management
24(1), 4-20
W
69
Mafabi et al.
(2015)
Creative climate and organisational resilience: the
mediating role of innovation
International Journal of
Organizational Analysis
23(4), 564-587
W
70
Cavaco &
Machado (2015)
Sustainable competitiveness based on resilience
and innovation an alternative approach
International Journal of
Management Science
and Engineering
Management
10(2), 155-164
W
71
Manfield & Newey
(2015)
Escaping the Collapse Trap: Remaining Capable
Without Capabilities
Strategic Change
24(4), 373-387
W
72
Management
Today (2015)
Why Resilience Is the Key to Success
Management Today
58-61
E
73
van der Vegt et al.
(2015)
Managing Risk and Resilience
Academy of
Management Journal
58(4), 971-980
E
74
Castellacci (2015)
Institutional Voids or Organizational Resilience?
Business Groups, Innovation, and Market
Development in Latin America
World Development
70, 43-58
E
75
Ortiz‐de‐
Mandojana &
Bansal (2016)
The long-term benefits of organizational resilience
through sustainable business practices
Strategic Management
Journal
37(8), 1615-
1631
W
76
Annarelli &
Nonino (2016)
Strategic and operational management of
organizational resilience: Current state of research
and future directions
Omega
62, 1-18
W
77
De Carvalho et al.
(2016)
Organizational resilience: A comparative study
between innovative and non-innovative
companies based on the financial performance
analysis
International Journal of
Innovation
4(1), 58-69
W
78
Kolay (2016)
Measurement of Organizational Resilience - An
Approach
Productivity
57(3), 300-309
E
79
Kerr (2016)
Organizational Resilience
Quality
55(7), 40-43
E
80
Chen (2016)
Construction of an Early Risk Warning Model of
Organizational Resilience: An Empirical Study
Based on Samples of R&D Teams
Discrete Dynamics in
Nature and Society
2016
E
81
Andrew et al.
(2016)
Sources of organisational resiliency during the
Thailand floods of 2011: a test of the bonding and
bridging hypotheses
Disasters
40(1), 65-84
E
82
Breda (2016)
Building Resilient Human Service Organizations
Human Service
Organizations:
Management,
Leadership &
Governance
40(1), 62-73
E
83
Buliga et al. (2016)
Business model innovation and organizational
resilience: towards an integrated conceptual
framework
Zeitschrift für
Betriebswirtschaft;
Heidelberg
86(6), 647-670
E
177
Table 9 Studies reviewed, by year of publication, V (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
84
Clément & Rivera
(2017)
From Adaptation to Transformation: An Extended
Research Agenda for Organizational Resilience to
Adversity in the Natural Environment
Organization &
Environment
30(4), 346-365
W
85
Teo et al. (2017)
The relational activation of resilience model: How
leadership activates resilience in an organizational
crisis
Journal of Contingencies
and Crisis Management
25(3), 136-147
W
86
Conz et al. (2017)
The resilience strategies of SMEs in mature
clusters
Journal of Enterprising
Communities
25(3), 136-147
W
87
Gimenez et al.
(2017)
Improving the resilience of disaster management
organizations through virtual communities of
practice: A Delphi study
Journal of Contingencies
and Crisis Management
25(3), 160-170
W
88
Dalgaard‐Nielsen
(2017)
Organizational resilience in national security
bureaucracies: Realistic and practicable?
Journal of Contingencies
and Crisis Management
25(4), 341-349
W
89
Villemain & Godon
(2017)
Toward a resilient organization: The management
of unexpected hazard on the polar traverse
Safety Science
95, 210-218
W
90
(Ruiz-Martin et al.,
2017)
The application of the viable system model to
enhance organizational resilience
In: Advances in Management Engineering
W
91
Tejeiro Koller et al.
(2017)
Corporate culture and long-term survival of
Spanish innovative firms
International Journal of
Innovation Science
9(4), 335-354
W
92
Mzid (2017)
Family Capital and Organizational Resilience of the
Family Firm in Tunisia
Contributions to
Management Science
41-61
W
93
Blades (2017)
Organisational resilience: What does it mean?
Governance Directions
69(11), 669-
671
E
94
Asch & Mulligan
(2017)
Organizational Resiliency: The World-Famous San
Diego Zoo Way
Leader to Leader
2017(83), 53-
58
E
95
Linnenluecke
(2017)
Resilience in Business and Management Research:
A Review of Influential Publications and a Research
Agenda
International Journal of
Management Reviews
19(1), 4-30
M
96
Williams et al.
(2017)
Organizational Response to Adversity: Fusing Crisis
Management and Resilience Research Streams
Academy of
Management Annals
11(2), 733-769
M
97
Sahebjamnia et al.
(2018)
Building organizational resilience in the face of
multiple disruptions
International Journal of
Production Economics
197, 63-83
W
98
Korber &
McNaughton
(2018)
Resilience and entrepreneurship: a systematic
literature review
International Journal of
Entrepreneurial
Behavior & Research
24(7), 1129-
1154
W
99
Kahn et al. (2018)
The Geography of Strain: Organizational Resilience
As a Function of Intergroup Relations
Academy of
Management Review
43(3), 509-529
W
100
Prayag (2018)
Symbiotic relationship or not? Understanding
resilience and crisis management in tourism
Tourism Management
Perspectives
25, 133-135
W
101
Tisch & Galbreath
(2018)
Building organizational resilience through
sensemaking: The case of climate change and
extreme weather events
Business Strategy and
the Environment
27(8), 1197-
1208
W
102
Duchek (2018)
Entrepreneurial resilience: a biographical analysis
of successful entrepreneurs
International
Entrepreneurship and
Management Journal
14(2), 429-455
W
103
Burnard et al.
(2018)
Building organizational resilience: Four
configurations
IEEE transactions on
engineering
management
65(3), 351-362
W
104
Carlson (2018)
Vigilant resilience: the possibilities for renewal
through preparedness
Corporate
Communications: An
International Journal
23(2), 212-225
W
178
Table 9 Studies reviewed, by year of publication, VI (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
105
Manfield & Newey
(2018)
Resilience as an entrepreneurial capability:
integrating insights from a cross-disciplinary
comparison
International Journal of
Entrepreneurial
Behavior & Research
24(7), 1155-
1180
W
106
Martinelli et al.
(2018)
The resilient retail entrepreneur: dynamic
capabilities for facing natural disasters
International Journal of
Entrepreneurial
Behavior & Research
24(7), 1222-
1243
W
107
Andersson (2018)
Followership: An Important Social Resource for
Organizational Resilience
In: The Resilience Framework: Organizing
for Sustained Viability
W
108
Branicki et al.
(2018)
How entrepreneurial resilience generates resilient
SMEs
International Journal of
Entrepreneurial
Behavior & Research
24(7), 1244-
1263
W
109
Edström (2018)
Business Clusters and Organizational Resilience
In: The Resilience Framework: Organizing
for Sustained Viability
W
110
Bouaziz & Smaoui
Hachicha (2018)
Strategic human resource management practices
and organizational resilience
Journal of Management
Development
37(7), 537-551
W
111
Ishak & Williams
(2018)
A dynamic model of organizational resilience:
adaptive and anchored approaches
Corporate
Communications: An
International Journal
23(2), 180-196
W
112
Morais-Storz et al.
(2018)
Innovation and metamorphosis towards strategic
resilience
International Journal of
Entrepreneurial
Behavior & Research
24(7), 1181-
1199
W
113
Tengblad &
Oudhuis (2018a)
Conclusions: The Resilience Framework
Summarized
In: The Resilience Framework: Organizing
for Sustained Viability
W
114
Carden et al.
(2018)
Organizational resilience: A look at McDonald’s in
the fast food industry
Organizational Dynamics
47(1), 25-31
W
115
Gover & Duxbury
(2018)
Inside the Onion: Understanding What Enhances
and Inhibits Organizational Resilience
The Journal of Applied
Behavioral Science
54(4), 477-501
W
116
Sincorá et al.
(2018)
Business analytics leveraging resilience in
organizational processes
RAUSP Management
Journal
53(3), 385-403
W
117
Van Trijp et al.
(2018)
Resilience from the real world towards specific
organisational resilience in emergency response
organisations
International journal of
emergency management
14(4), 303-321
W
118
Tengblad (2018c)
Resilient Leadership: Lessons from Three
Legendary Business Leaders
In: The Resilience
Framework: Organizing
for Sustained Viability
89-110
W
119
Verreynne et al.
(2018)
Editorial for the special issue on: organizational
resilience and the entrepreneurial firm
International Journal of
Entrepreneurial
Behavior & Research
24(7), 1122-
1128
W
120
Tengblad (2018a)
A Resource-Based Model Of Organizational
Resilience
In: The Resilience
Framework: Organizing
for Sustained Viability
39-56
W
121
Jansson (2018)
Financial Resilience: The Role Of Financial Balance,
Profitability, And Ownership
In: The Resilience
Framework: Organizing
for Sustained Viability
111-132
W
122
Tengblad &
Oudhuis (2018c)
Organization Resilience: What Makes Companies
And Organizations Sustainable?
In: The Resilience
Framework: Organizing
for Sustained Viability
3-18
W
123
Tengblad (2018b)
Organizational Resilience: Theoretical Framework
In: The Resilience
Framework: Organizing
for Sustained Viability
19-38
W
124
Eriksson (2018)
Followership For Organizational Resilience In
Health Care
In: The Resilience
Framework: Organizing
for Sustained Viability
163-180
W
179
Table 9 Studies reviewed, by year of publication, VII (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
125
Oudhuis (2018)
Organizational Resilience And Stagnation At A
Fashion Company
In: The Resilience
Framework: Organizing
for Sustained Viability
181-196
W
126
Ma et al. (2018)
Toward a dynamic model of organizational
resilience
Nankai Business Review
International
9(3), 246-263
W
127
Butler (2018)
Five steps to organisational resilience: Being
adaptive and flexible during both normal
operations and times of disruption
Journal of Business
Continuity & Emergency
Planning
12(2), 103-112
E
128
Hillmann et al.
(2018)
Educating Future Managers for Developing
Resilient Organizations: The Role of Scenario
Planning
Journal of Management
Education
42(4), 461-495
E
129
Barasa et al.
(2018)
What Is Resilience and How Can It Be Nurtured? A
Systematic Review of Empirical Literature on
Organizational Resilience
International Journal of
Health Policy and
Management
7(6), 491-503
E
130
Pradhan &
Bhattacharyya
(2018)
Building organisational resilience: role of
cherishing at work
International Journal of
Entrepreneurship &
Innovation Management
22(3), 269-285
E
131
Collier (2018)
An examination of the impact of diverse
internationalization experience on organizational
resilience and a test of the Resilience Architecture
Framework
Dissertation Auburn University
E
132
Leszczynska
(2018)
Mechanisms of Organisational Resilience to
Weather Extremes - an Attempt of Identification
International Multidisci-
plinary Scientific
Conference on Social
Sciences & Arts SGEM
5, 663-670
E
133
Koronis & Ponis
(2018)
Better than before: the resilient organization in
crisis mode
Journal of Business
Strategy
39(1), 32-42
M
134
DesJardine et al.
(2019)
Bouncing Back: Building Resilience Through Social
and Environmental Practices in the Context of the
2008 Global Financial Crisis
Journal of Management
45(4), 1434-
1460
W
135
Branicki et al.
(2019)
Why resilience managers aren’t resilient, and what
human resource management can do about it
The International Journal
of Human Resource
Management
30(8), 1261-
1286
W
136
Wood et al. (2019)
Quantifying and mapping resilience within large
organizations
Omega
87, 117-126
W
137
Mzid et al. (2019)
How does family capital influence the resilience of
family firms?
Journal of International
Entrepreneurship
17(2), 249-277
W
138
Darkow (2019)
Beyond “bouncing back”: Towards an integral,
capability-based understanding of organizational
resilience
Journal of Contingencies
and Crisis Management
27(2), 145-156
W
139
Herbane (2019)
Rethinking organizational resilience and strategic
renewal in SMEs
Entrepreneurship &
Regional Development
31(5-6), 476-
495
W
140
Barton & Kahn
(2019)
Group Resilience: The Place and Meaning of
Relational Pauses
Organization Studies
40(9), 1409-
1429
W
141
Witmer (2019)
Degendering organizational resilience the Oak
and Willow against the wind
Gender in Management:
An International Journal
34(6), 510-528
W
142
Andersson et al.
(2019)
Building traits for organizational resilience through
balancing organizational structures
Scandinavian Journal of
Management
35(1), 36-45
W
143
Hsu et al. (2019)
Resilience and risks of cross-border mergers and
acquisitions
Multinational Business
Review
27(4), 427-450
W
144
Siltaloppi et al.
(2019)
In the service of a higher good: Resilience of
academics under managerial control
Organization
1-22
W
145
Haase & Eberl
(2019)
The Challenges of Routinizing for Building Resilient
Startups
Journal of Small Business
Management
57(2), 579-597
W
180
Table 9 Studies reviewed, by year of publication, VIII (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
146
Michel‐Villarreal
et al. (2019)
Evaluating economic resilience for sustainable
agri-food systems: The case of Mexico
Strategic Change
28(4), 279-288
W
147
Jilani et al. (2019)
Empirical study on the Antecedents predicting
Organizational Resilience of Small and Medium
Enterprises in Bangladesh
Journal on Innovation
and Sustainability RISUS
10(2), 138-145
W
148
Morales et al.
(2019)
Predictors of organizational resilience by factorial
analysis
International Journal of
Engineering Business
Management
11
W
149
Ingram &
Bratnicka-
Myśliwiec (2019)
Organizational Resilience of Family Businesses
Problemy Zarzadzania
2/2019(82),
186-204
W
150
Turgeon (2019)
Identifying the Leadership Skills Needed to
Develop the Competencies to Lead in a Postcrisis
Organization: A Delphi Study
Dissertation Brandman
University
E
151
Werran (2019)
How resilient are food businesses?
Food & Drink Technology
18, 26-27
E
152
Beuren & dos
Santos (2019)
Enabling and coercive management control
systems and organizational resilience
Sistemas de controle
gerencial habilitantes e
coercitivos e resiliência
organizacional
30(81), 307-
323
E
153
Bang et al. (2019)
Evaluating local vulnerability and organisational
resilience to frequent flooding in Africa: the case
of Northern Cameroon
Foresight
21(2), 266-284
E
154
Al-Ayed (2019)
The Impact of Strategic Human Resource
Management on Organizational Resilience: An
Empirical Study on Hospitals
Business: Theory &
Practice
20, 179-186
E
155
Carmeli et al.
(2020)
Resilience of sustainability-oriented and
financially-driven organizations
Business Strategy and
the Environment
29(1), 154-169
W
156
Mitsakis (2020)
Human resource development (HRD) resilience: a
new ‘success element’ of organizational
resilience?
Human Resource
Development
International
23(3), 321-328
W
157
Karman (2020)
An examination of factors influencing the
application of mechanisms of organizations'
resilience to weather extremes
Business Strategy and
the Environment
29(1), 276-290
W
158
Cruickshank
(2020)
He who defends everything, defends nothing:
proactivity in organizational resilience
Transnational
Corporations Review
1-11
W
159
Hillmann (2020)
Disciplines of organizational resilience:
contributions, critiques, and future research
avenues
Review of Managerial
Science
1-58
W
160
Senbeto & Hon
(2020)s
Market turbulence and service innovation in
hospitality: examining the underlying mechanisms
of employee and organizational resilience
The Service Industries
Journal
1-21
W
161
Santoro et al.
(2020)
Searching for resilience: the impact of employee-
level and entrepreneur-level resilience on firm
performance in small family firms
Small Business
Economics
-
W
162
Beech et al. (2020)
In the family way: an exploration of family business
resilience
International Journal of
Organizational Analysis
28(1), 160-182
W
163
Conz & Magnani
(2020)
A dynamic perspective on the resilience of firms: A
systematic literature review and a framework for
future research
European Management
Journal
38(3), 400-412
E
164
Gracey (2020)
Building an organisational resilience maturity
framework
Journal of Business
Continuity & Emergency
Planning
13(4), 313-327
E
181
Table 9 Studies reviewed, by year of publication, IX (continued)
#
Study
(authors)
Title
Journal / Proceeding /
Book
Volume
(issue), pages
Sou-
rce
165
Beuren et al.
(2020)
Effects of the Management Control System on
Empowerment and Organizational Resilience
Brazilian Business
Review (English Edition)
17(2), 211-232
E
166
Filimonau &
Coteau (2020)
Tourism resilience in the context of integrated
destination and disaster management (DM2)
International Journal of
Tourism Research
22(2), 202-222
E
167
Sweya et al. (2020)
Developing a tool to measure the organizational
resilience of Tanzania's water supply systems
Global Business and
Organizational
Excellence
39(2), 6-19
E
168
Duchek (2020)
Organizational resilience: a capability-based
conceptualization
Business Research
13(1), 215-246
M
224
Appendix C propositions summarised (Chapter 2)
Table 11 propositions: summary of propositions
Proposition
Impact on
Antecedents
Proposition 1a
Instability of the
environment
the more instable the environment (volatile, disruptive,
turbulent), the more likely the firm will engage in the
development of potential RESCAP capabilities.
Development
of potential
RESCAP
Proposition 1b
Number of
disruptions
the higher the number of disruptions over time, albeit less-
intense volatile environments, the more likely the firm will
engage in the development of potential RESCAP over time.
Amplifying (moderates)
Proposition 2a
Prior experience
the higher the level of prior experience, the more the positive
relationship between disruption and the development of
sensing capabilities will be amplified.
Effect of
disruption on
sensing
Proposition 2b
Slack resources
low levels of slack amplify the positive relationship between
disruption and the development of opportunity seeking
capabilities while high levels of slack impede the positive impact
of disruption on the development of opportunity seeking
capabilities.
Effect of
disruption on
exploring
Proposition 2c
TMT attention
the higher the TMT attention orientation on sensing activities,
the more the positive relationship between disruptions and
sensing will be amplified.
Effect of
disruption on
sensing
Proposition 2d
TMT attention
the higher the TMT attention orientation on explorative
activities, the more the positive relationship between
disruptions and exploring will be amplified.
Effect of
disruption on
exploring
Integrating (moderates)
Proposition 3a
Corp. coherence
the higher the level of corporate coherence, the better the focal
firm can realise the potential RESCAP.
Realisation
of potential
RESCAP
Proposition 3b
Firm size
the larger the firm, the more resources a firm can deploy and
redistribute and thus the better, quicker and more efficiently the
firm can realise its potential RESCAP.
Proposition 3c
Organisational
flexibility
the higher the level of organisational flexibility, the better the
focal firm can adapt processes, structures and strategy to better
realise potential RESCAP.
225
Table 11 propositions: summary of propositions II (continued)
Proposition
Impact on
Resilience Outcomes
Proposition 4a
Potential
RESCAP
the better developed potential RESCAP, the more the firm will
outperform competitors and prior levels of performance through
enhanced sensing and exploring capabilities. Firms with higher
levels of potential RESCAP are better able to sense (weak) signals,
to sense both opportunity and threat as well as seek new
opportunities that allows for future competitive advantage.
Performance
Proposition 4b
Realised
RESCAP
firms with well-developed realised RESCAP capabilities tend to
more likely adapt to changing environmental conditions shaped
by instability and disruption through enhanced flexibility and
efficiency in asset (re) allocation. Firms with higher levels of
realised RESCAP tend to better be able to exploit current and
future assets as well as reduce risk and uncertainty through
transformative action.
Adaptation
Leveraging (moderates)
Proposition 5a
Industry
clockspeed
at lower levels of industry clockspeed, the positive impact of
RESCAP on resilience outcomes is amplified, while at higher levels
of clockspeed the positive impact of RESACP on resilience is
negatively moderated as attention is drawn away from RESCAP to
satisfy demands arising from high industry clockspeed.
Impact of
RESCAP on
resilience
outcomes
Proposition 5b
Industry
innovativeness
while at lower levels of industry innovativeness, the positive
impact of RESCAP on resilience outcomes will be amplified through
increased managerial attention being drawn to RESCAP, at higher
levels of industry innovativeness, the more negatively will the
positive impact of realised RESCAP on resilience outcomes be
moderated.
Proposition 5c
Institutional
support
the higher the financial institutional support, the more the positive
relationship between RESCAP and resilience outcomes will be
amplified.
226
Appendix D comparing conceptualisations and definitions (Chapter 2)
Table 12 comparing prior and new conceptualisations and definitions
Issue
Traditional view of RESCAP
Reconceptualised view of RESCAP
Definition
o Resilience as the outcome of firm-level
responses to crises
o Resource-based view
o Adaptability and flexibility
o Threat-rigidity perspective
o Shock absorption and robustness
o Capability perspective
o RESCAP is the capacity of a firm to recover
from disruptions through development
and deployment of sensing, exploring,
seizing and transformative capabilities to
produce a dynamic capability of the firm.
o Emphasis on RESCAP as a dynamic
capability of the firm
Dimensions
o Multiple dimensions discussed
o Some works lack dimensional clarity as the
focus is different (e.g. equilibrium
perspective by (Meyer, 1982) in which
resilience is the property)
o Multidimensional construct with four
underlying capabilities
o Two distinct subsets (potential and
realised) of RESCAP
o Addition of exploring
Antecedents
o Resilience as proactive capabilities
(Conz & Magnani, 2020)
o Knowledge base (Duchek, 2020)
o Assets & resourcefulness, dynamic
competitiveness, learning & culture (Pal et
al., 2014)
o Endogenous and exogenous stressors
(Riolli & Savicki, 2003)
o Perceptual stance, contextual integrity,
strategic capacity, strategic acting (Kantur
& Iseri-Say, 2012)
Disruption specific characteristics impact the
development of RESCAP:
o Munificence, instability, complexity
(Dess & Beard, 1984; Keats & Hitt, 1988)
o Number of discontinuities over time
(Rudolph & Repenning, 2002)
Drivers
o Resource availability, social resources,
power & responsibility (Duchek, 2020)
o Stakeholders (Collier, 2018)
o Prior work is mostly silent on drivers,
moderators or boundary conditions
Three distinct sets of drivers:
o Amplifying: moderates the negative
impact of disruption on RESCAP
o Integrating: moderates the realisation of
potential RESCAP
o Leveraging: moderates the impact of
RESCAP on resilience outcomes
Outcomes
o Resilience as latent outcome variable
o Organizational evolvability (Kantur & Iseri-
Say, 2012)
o Performance maintenance & performance
recovery (Collier, 2018)
o Agility, flexibility (Conz & Magnani, 2020)
o Cope effectively with unexpected events
(Duchek, 2020)
o Performance reversion
o Adaptability of the firm
227
Appendix E questions for interviews (Chapter 3)
Questions outlined below represent a sample of the questions used in the qualitative research
interviews, conducted in a semi-structured manner.
I. Introductory questions
- What is your role within the firm and what are your responsibilities?
II. Disruption-specific questions (antecedents)
- What were disruptive events that shaped the past 12 months?
- How did you feel the shock, the disruption?
- What were the main impacts?
III. Questions on the amplifying effect on the impact of disruptions (amplifying)
- How did previous experiences shape your perception / behaviour?
- Did the company utilise excess resources? Can you provide examples?
- What does the TMT focus on? Did that focus change?
IV. Responses to disruptions Capabilities that allow for the development of potential
RESCAP
- What were the responses to the disruption?
- How does your firm purposefully scan the environment for changing dynamics?
- How is your firm thinking about possible future solutions, scenarios?
V. Questions on the integrating effects of firm characteristics (integrating)
- Can you explain how the different parts of the business are related? Did this change?
- I’m interested in how the firm size impacted your decisions and behaviour?
- Can you elaborate on the way (i.e., flexibly) your firm reacted to disruptions and why?
VI. Questions about the capabilities that enable the realisation of RESCAP
- How is your firm making the changes in the organisation to respond crisis?
228
- How is your firm portfolio changing during and after a disruption?
- What are characteristics of capabilities that allow them to impact firm performance?
VII. Questions about performance (outcomes)
- What are some of the reasons why the firm is performing at the current level?
- Have you been able to recover to previous levels of performance? Or outperform?
- Has your competitive advantage changed compared to prior to the disruption?
- How did you know you were on the right path?
- What were your aha-moments? Surprises?
- How do you feel about the disruption now?
VIII. Questions on the leveraging effect of industry characteristics (leveraging)
- How would you describe the level of change (technological and competitive) within
your sector? (clockspeed) Do you think your competitors see the rate of change?
- Would you describe your sector as innovative? (Innovativeness)
- I am interested in how institutions (i.e. the government, region) has supported you
over the last few months. Has this changed compared to previous periods?
IX. General questions
- What advice would you give other firms in a similar situation?
- How would you handle a disruption if you were the CEO / manager of another firm?
229
Appendix F list of interviews (Chapter 3)
Table 13 list of interviews
#
Case firm
Role in the firm20
Level in
firm21
Location of
informant22
1
SteelCo
Head of Global Operations
C-1
Austria
2
SteelCo
Member of the Management Board
C
Austria
3
SteelCo
President Asia Pacific
C-1
Singapore
4
ServCo
Head of China office (Beijing)
C-1
China
5
BioTech
Chief Production Officer
C
Thailand
6
Conceptual
Associate Partner
C-1
Austria
7
BioTech
CEO and co-founder
C
Thailand
8
BioTech
CTO and co-founder
C
Thailand
9
SteelCo
Divisional Head of Benelux
C-3
Netherlands
10
ChemCo
COO, Member of the Management Board
C
France
11
SteelCo
President North America
C-1
Canada
12
BioTech
COO
C
Singapore
13
ChemCo
President and CEO Americas
C-1
US
14
ServCo
Head of Philippines office
C-1
Philippines
15
Conceptual
CEO and founder
C
Austria
16
ServCo
Head of Thailand office
C-1
Thailand
17
ServCo
Head of South Korea office
C-1
South Korea
18
ServCo
Head of Hong Kong office
C-1
Hong Kong
19
SteelCo
Global Head of Marketing and Sales
C-1
Austria
20
Conceptual
Innovation and Start-Ups Manager
C-2
US
21
ChemCo
Exec. VP Strategy, Member of the Management Board
C
France
22
ServCo
Head of Singapore office
C-1
Singapore
23
ChemCo
Managing Director and Regional Manager SE Asia
C-1
Singapore
24
Conceptual
CEO
C
Germany
25
Conceptual
Professor of Strategic Management & Leadership
-
Austria
Total number of participants: BioTech (4), ChemCo (4), ServCo (6), SteelCo (6), Conceptual (5)
20
Role in the firm is a description of the informants role, rather than the exact title of said role
21
The level within firm describes the level of hierarchy that the informant holds: C = CEO, COO, CTO, CPO; C-1 =
reporting to C-level; C-2 = reporting to C-1 level; in cases where this could not clearly be determined, an
assumption was made
22
It seems important to note the location from where the informant participated in the interview as this implies
the cultural context in which those statements were made; this however shall not represent any inference to
the demographics (i.e. that persons’ origin or citizenship or race) of the participant or firm information
250
Appendix H codebook (Chapter 3)
Table 21 qualitative study: codebook from data analysis
25
Name
Files
References
A Disruptiveness
25
191
01 Triggers
20
71
1A Crisis as catalyst
11
28
1B Increased uncertainty
3
6
1C Underlying dynamics
18
33
1D Nature of the disruption
4
4
02 Impact of disruption
23
82
2A Changes in consumer behaviour
5
6
2B Changes in decision making behaviour
7
11
2C Reconfiguring distributive work
20
44
2D Demand disruption
9
15
2E Supply disruption
6
6
03 Temporality
21
38
3A Intensity of disruption
15
25
3B Previous disruptions
8
9
3C Speed of disruption
3
4
B Sensing
13
32
04 Scanning
12
23
4A Observing the environment
10
21
4B Risk management
2
2
05 Sensemaking
5
9
5A Assessing
5
9
C Exploring
21
55
06 Opportunity seeking
20
51
6A Finding new opportunities
20
45
6B Cultivating new relationships
5
6
07 Strategising
4
4
7A Path finding
4
4
D Buffering
22
82
08 Maintaining
14
32
8A Ensuring liquidity
12
20
8B Keeping operations running
6
12
09 Levelling-up
15
32
9A Communicate and motivate
9
14
9B Nurture customer interactions
11
18
10 Pacing
13
18
10A Enacting implementation (advancements)
9
11
10B Step-by-step approach
5
7
25
Status of analysis: April 2021
251
Table 21 qualitative study: codebook from data analysis (continued)
Name26
Files27
References28
E Reconfiguring29 , 30
21
86
11 Diversifying
17
36
11A Strategic change (pivoting)
7
7
11B Diversification
12
29
12 Resourcing
14
30
12A Restructuring of the organisation
9
14
12B Network activation
8
16
13 Fungibility
9
20
13A Developing parallel capabilities
9
15
13B Stimulating agility
4
5
F Situational Moderators
24
105
14 Cognitive-Amplifiers
15
35
14A Managerial focus
12
21
14B Prior experience
6
12
14C Slack resources
2
2
15 Decision-Enablers
17
39
15A Firm governance & size
14
25
15B Organisational culture
8
9
15C Team cohesiveness & trust
5
5
16 Resource-Levers
17
31
16A Government support
10
16
16B Innovativeness & clockspeed
8
10
16C Physical resources
5
5
G Resilience
24
90
17 Value creation
22
67
17A Competitive advantage
17
26
17B Employee retention
5
6
17C Financial performance
13
23
17D Increased efficiency
7
7
17E Survival
5
5
18 Adaptiveness
17
23
18A Flexibility
12
13
18B Preparedness
8
10
26
Name of code representing a first- or second-order concept or a construct
27
Number of documents (i.e., interview transcripts) where this code has been used
28
Number of instances where this code has been used across documents
29
A, B, C, D = constructs, 01-12 = second-order concepts, 1A-12B = first-order concepts
30
Numbers are cumulated at the next highest level
252
Appendix I analysis of coding per interview (Chapter 3)
Table 22 analysis of coding per interview
31
#
Group
Role in the firm
References32
Coverage33
1
SteelCo
Head of Global Operations
33
25.75%
2
SteelCo
Member of the Management Board
26
30.08%
3
SteelCo
President Asia Pacific
27
15.41%
4
ServCo
Head of China office (Beijing)
24
30.06%
5
BioTech
Chief Production Officer
29
42.79%
6
Conceptual
Associate Partner
28
62.49%
7
BioTech
CEO and co-founder
22
33.63%
8
BioTech
CTO and co-founder
25
44.19%
9
SteelCo
Divisional Head of Benelux
18
22.53%
10
ChemCo
COO, Member of the Management Board
36
53.72%
11
SteelCo
President North America
37
32.69%
12
BioTech
COO
22
36.66%
13
ChemCo
President and CEO Americas
18
42.23%
14
ServCo
Head of Philippines office
17
32.32%
15
Conceptual
CEO and founder
24
22.12%
16
ServCo
Head of Thailand office
18
38.18%
17
ServCo
Head of South Korea office
21
39.51%
18
ServCo
Head of Hong Kong office
26
55.08%
19
SteelCo
Global Head of Marketing and Sales
38
47.27%
20
Conceptual
Innovation and Start-Ups Manager
19
37.23%
21
ChemCo
Exec. VP Strategy, Member of the Management Board
25
57.65%
22
ServCo
Head of Singapore office
21
44.31%
23
ChemCo
Managing Director and Regional Manager SE Asia
24
26.91%
24
Conceptual
CEO
23
15.63%
25
Conceptual
Professor of Strategic Management & Leadership
17
26.64%
31
Average references per interview: 24.72, Average coverage per interview: 36.60%
32
References denote to the number of instances of coding per document
33
Coverage refers to the percentage of text coded in each document, that is including questions by PA
253
Appendix J secondary data for triangulation (Chapter 3)
Table 23 secondary data examples (inductive study)
34
Source
Exemplary statements from transcripts
Interpretation
Interim
report35
[…] programs aimed at cost optimization, […]
adjustments in personnel […] declines […]
within limits. Restructuring […] carried out
[…]. The use of [government support] partly
[absorbed temporary declines in orders].
The firm focussed on buffering activities to absorb
negative consequences of increased volatility on
demand side of the business. Additionally, the
availability of government support provided added
(moderating) assistance
Interim
report
[the firm’s diversified] positioning with a focus
on […] niche markets [was advantageous for
the firm]
The lockdowns also [created a huge] boost to the
e-commerce [sector]
The diversified portfolio of the firm contributed to
buffering of the negative consequences of
disruptive dynamics. The diversified portfolio was in
addition beneficial where sectors showed growth
during disruptive periods
Interim
report
Beyond the short term, [the firm pursues] to
implement [the] strategy. Good progress
has been made [to] sustainable
transformation […] social commitment.
While the firm focussed its attention on ensuring
financial stability across the portfolio, the pursuit of
the firm-wide strategy was done in parallel. This
notion strengthens the idea of parallel focus on in-
part contradictory notions, that is, buffering and
transforming
Interim
report
In order to mitigate [the firm] put in place
measures to reducing its costs and its capital
expenditure […] compared with the amount
originally planned. Moreover, the [firm
benefits from] diversity of its end markets
and geographic footprint
While focussing their efforts on buffering and mitigation,
the firm recognises the importance of diversification
across the firm-portfolio. Moreover, the interim
report re-emphasised the importance of pursuing
strategically important initiatives concurrent to
buffering. However, what remains open is whether
the concept of diversifying includes the ex-ante
meaning of the state of diversification or it is the act
of diversifying in times of disruption. Important to
note is, that this might need to be viewed in
conjunction with preparedness as mentioned in the
interview data.
Press
release
[the firm will] continue to implement its long-
term strategy, major projects, targeted
acquisitions and innovation initiatives [to
achieve] sustainable development
opportunities, as well as its strategic review
The firm details its initiatives to pursue strategy
enactment in parallel to ensuring survival of the firm
by project implementation, acquisitions and
strategy formulation processes. The degree to
which a firm is able to pursue both buffering and
reconfiguring concurrently, may however be
contingent upon a number of factors, such as the
structure of the current balance sheet, that is, if the
firm exerts exceptionally high attention to survival,
reconfiguring might not be viable
34
Excerpts from secondary data sources have been fully anonymized. To ensure anonymity of firms and,
consequently, informants, extracts from those secondary data sources have been in-part loosely
paraphrased herein or redacted. Information added by the author is denoted as “[text]”
35
Mid-year or quarter financial reports of publicly listed firms, including financial performance and updates
254
Appendix K approach, summary and results (Chapter 2 & 3)
Table 24 summary of approach, theoretical lens, results across papers (Chapter 2 & 3)
Aspect
Conceptual paper (chapter 2)
Inductive paper (chapter 3)
Approach
Theory-driven
Inductive research
Theoretical lens
Dynamic capability view
(Eisenhardt & Martin, 2000;
Teece, 2007; Teece et al., 1997)
Contingency view
(Hofer, 1975; Luthans & Stewart,
1977; Tosi & Slocum, 1984)
Based on (data)
Systematic literature review
(initial 452 studies, final set of 168 studies)
In-depth qualitative interviews (25 interviews)
Secondary data for triangulation
Summary
A dynamic capability view of resilience
enhances our understanding of how
firms develop, deploy and nurture the
capabilities essential to formulate
resilience responses in times of
disruption
An understanding of the environmental
conditions (Keats & Hitt, 1988) that
constitute disruptive times and the
capabilities that firms should develop
to reverse firm-level performance and
enhance adaptiveness of the firm
The ideas of potential and realised
resilience capacity represent a useful
ground for understanding how firms
develop and deploy capabilities that
underpin resilience capacity
Further, the moderating variables that
impact the relationships within the
model are grounded in the received
literature and grouped by their impact
in the model
A contingency-based view of resilience
emerged as a result of the inductive
research process. That is, a focus on
the situational factors that constitute
the firm environment contributes to a
more nuanced view of how firms
respond to disruptive environments
Constructs emerged from the data analysis
that describe the disruptiveness of the
environment, dynamics, processes and
capabilities that underpin resilience
response formulation, situational
moderators and resilience perfor-
mance as measured by outcome
variables
The fluidity and dynamism of relationships
within the inductive model warrant a
contingency perspective to demon-
strate how there is no one solution for
resilient response formulation and
enactment in disruptive times across
firms
Results
The proposed conceptual RESCAP model
differentiates between potential and
realised RESCAP to achieve
performance reversion and adap-
tiveness of the firm
Extension of dynamic capability view
through the addition of the inherently
entrepreneurial explorative dimension
of firm-level capabilities
Identification of endogenous and
exogenous factors that moderate the
relationships within the model
An inductive-contingency-based model of
firm-level resilience under disrupt-
tiveness that illustrates the
capabilities, dynamics and processes
that underpin firm-level resilience
The contingency-based view of firm-
resilience allows for a more nuanced
and holistic view of how firms
formulate and enact responses
contingent upon situational factors
and dimensions of disruptiveness,
owning to dynamism and fluidity
255
Appendix L contributions and limitations (Chapter 2 & 3)
Table 25 summary of contributions, limitations and future research (Chapter 2 & 3)
36
Aspect
Conceptual paper (chapter 2)
Inductive paper (chapter 3)
Contributions
o Dynamic capability view of resilience
o Emphasis on disequilibrium as the
focal research setting
o Definition of dimensions of RESCAP
o Addition of exploring dimension to
dynamic capability view
o Conceptualisation of potential and
realised RESCAP
o Multi-dimensionality of constructs
o Integration of environmental condi-
tional view of disruption
o Contingency-based view of resilience
o Dynamics and processes of resilience
o Distinctiveness of sensing & explor-
ing dimensions
o Addition of Buffering construct
o Firm resilience described as a
recursive, dynamic and flexible
concept through a contingency lens
Limitations
o Generalisability of findings
o Potential endogeneity in model
o Disruption-specific behaviour
o Intention vs. intuition
o Survival and recall bias
Future research
directions
o Empirical (quantitative) study
o Applying a different theoretical lens
o Extending the dynamic capability view
o Empirical (quantitative) study
o Counter potential endogeneity
o Non-disruption-specific behaviour
o Analysing Intuition versus Intention
36
An overview of general future research directions can be found in Table 8 in the limitations of the thesis and
future research section. The here presented limitations are narrower in scope and specifically concern the
respective paper in Chapter 2 and Chapter 3
256
Appendix M contingency theory in Strategic Management
A brief review
37
. The below outline shall provide a succinct overview of contingency
theoretical views in the strategic management domain. The contingency view re-emphasised
in early work by Hofer (1975) on business strategy assumes a general view of any theory of
business (corporate) strategy must be a contingency theory (p. 786). That is, the optimal
strategy for a firm is contingent upon a set of environmental, situational and endogenous
factors (Luthans & Stewart, 1977, p. 182). Consequently, this means that there is no optimal
strategy or managerial practise across all firms, sectors and exogenous as well as endogenous
factors. A contingency theoretical view, therefore, places emphasis on the contingent effect
of environmental, and other, variables on the formulation and enactment of strategy.
Luthans & Stewart (1977) extend earlier views the discussion towards a general
contingency theoretical view of management. A useful perspective for the development of
such a general view was developed by Child (1974), who related the notion of situational
variability in management to systems thinking. While the situational perspective was
previously discussed in detail (e.g., Mockler, 1971) and related to open systems thinking in
(Child, 1974). Luthans & Stewart (1977) expand upon earlier work that relates the situational
view to open systems thinking and the universalist view to closed system thinking (Child,
1974), to arrive at a general contingency theory. That is, the general model of contingency in
the management domain integrates primary, secondary and tertiary system variables
(Luthans & Stewart, 1977, p. 186-189). According to this view, the general contingency
perspective of system performance is contingent upon performance variables (integration of
37
This summary shall only serve as a general overview of a contingency theory of the firm and by no means
serves as a literature review. For the purpose of this study (Chapter 3), the focus lies on the basic tenets of
contingency theory as the assumption that variables that are endogenous and exogenous to the firm impact
strategy formulation and enactment (Hofer, 1975)
257
managerial and environmental variables), organisational variables (the integration of the
management- and resource-subsystem) and the situational variables (resources and
environment) (Luthans & Stewart, 1977, p. 187).
A way of determining the contingency effect of the environment was advanced by Dess
& Beard (1984). The authors proposed a model of task environmental conditions, that are,
munificence, dynamism and complexity, through collapsing the environmental conditions
advocated in earlier work (Aldrich, 1979; Aldrich & Herker, 1977) by means of factor analysis.
These studies, however, focussed on the environmental dimensions as the main contingent
variables, while the stream developing the contingency theory of management (Child, 1974;
Hofer, 1975; Luthans & Stewart, 1977) takes a broader view of contingency in the firm-
context. The basics principles of contingency theory have been applied in a variety of settings
such as corporate governance characteristics (Boyd, 1995), family business succession (Royer
et al., 2008), leadership (Ayman et al., 1995; Fiedler, 1971), the management of firm resources
(Sirmon et al., 2007) and alternative forms of structural fit (Drazin & Van de Ven, 1985).
Discussion. While in the early stages of contingency theory development in the
management domain scholars questioned the basic tenets of the theoretical foundations
(e.g., Schoonhoven, 1981), consequent work across various fields applied contingency theory
to a variety of issues as outlined above. A contingency-based view of any issue in essence
assumes an impact of the situational or environmental conditions of the firm, team or
individual on the focal phenomenon and the relationships within these models. A contingency
theoretical view therefore shall investigate how environmental and situational factors impact
the formulation and enactment of firm-level responses under disruptiveness. The model shall
therefore put particular emphasis on the impact on both response formulation as well as
resilience as an outcome variable, measured by performance and adaptiveness.
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