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A systematic review of the antecedents of knowledge transfer: an actant-object view

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Purpose While numerous studies have studied knowledge transfer (KT) and endeavored to address factors influencing KT, little effort has been made to integrate the findings of prior studies. This paper aims to classify the literature on KT through a detailed exploration of different perspectives of KT inter and intra organizations. Design/methodology/approach Using actor–network theory (ANT) as the baseline, we conducted a systematic review of KT research to summarize prior KT studies and classify the influential factors on KT. The review covered 115 empirical articles published between 1987 and 2017. Findings Drawing on the review and ANT guidelines, the authors proposed a conceptual model to categorize KT constitutes into objects including those related to (1) knowledge, (2) knowledge exchange and (3) technology, as well as actants including those related to (4) organization, (5) team/business unit and (6) knowledge sender/receiver. Research limitations/implications Adopting a holistic synthesized approach based on ANT, this research puts forward a valid theoretical foundation on further understanding of KT and its antecedents. Indeed, this paper investigates KT inter and intra organizations to recognize and locate the key antecedents of KT, which is of substantial applicability in today’s knowledge-driven economy. Practical implications The findings advance managers and practitioners’ understanding of the important role of actants and objects and their interplay in KT practices. Originality/value While most studies on KT have a narrow focus, this research contributes to holistic understanding of motivational, behavioral, technological and organizational issues related to KT. It also offers a thorough and context-free literature review on KT, which synthesizes the findings of prior studies on KT.
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A systematic review of the
antecedents of knowledge transfer:
an actant-object view
Hamidreza Shahbaznezhad
University of Auckland Business School, Auckland, New Zealand
Mona Rashidirad
University of Sussex Business School, Brighton, UK, and
Isaac Vaghefi
Seidenberg School of Computer Science and Information Systems, Pace University,
New York, USA
Abstract
Purpose While numerous studies have studied knowledge transfer (KT) and endeavored to address
factors inuencing KT, little effort has been made to integrate the ndings of prior studies. This paper aims to
classify the literature on KT through a detailed exploration of different perspectives of KT inter and intra
organizations.
Design/methodology/approach Using actornetwork theory (ANT) as the baseline, we conducted a
systematic review of KT research to summarize prior KT studies and classify the inuential factors on KT.
The review covered 115 empirical articles published between 1987 and 2017.
Findings Drawing on the review and ANT guidelines, the authors proposed a conceptual model to
categorize KT constitutes into objects including those related to (1) knowledge, (2) knowledge exchange and
(3) technology, as well as actants including those related to (4) organization, (5) team/business unit and
(6) knowledge sender/receiver.
Research limitations/implications Adopting a holistic synthesized approach based on ANT, this
research puts forward a valid theoretical foundation on further understanding of KT and its antecedents.
Indeed, this paper investigates KT inter and intra organizations to recognize and locate the key antecedents of
KT, which is of substantial applicability in todays knowledge-driven economy.
Practical implications The ndings advance managers and practitionersunderstanding of the
important role of actants and objects and their interplay in KT practices.
Originality/value While most studies on KT have a narrow focus, this research contributes to holistic
understanding of motivational, behavioral, technological and organizational issues related to KT. It also offers
a thorough and context-free literature review on KT, which synthesizes the ndings of prior studies on KT.
Keywords Knowledge transfer, Actor network theory (ANT), Objects, Actants, Antecedents,
Knowledge exchange, Systematic review
Paper type Conceptual paper
Introduction
Rapid proliferation in the business potential of knowledge transfer (KT) attracts researchers
from various elds to contribute to the growing body of research on this phenomenon.
Although several scholars (Argote and Ingram, 2000;Kang et al., 2010;Teo and
Bhattacherjee, 2014) endeavored to highlight the benets of KT in organizations, still many
organizations cannot successfully yield the benets of KT (Szulanski et al., 2016), in part due
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31,6
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Received 21 July2018
Revised 7 December2018
21 February 2019
Accepted 2 April2019
European Business Review
Vol. 31 No. 6, 2019
pp. 970-995
© Emerald Publishing Limited
0955-534X
DOI 10.1108/EBR-07-2018-0133
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0955-534X.htm
to a lack of clear understanding of all aspects of KT and its complexities (i.e. the big picture).
In addition, it is argued that KT literature is highly fragmented and there is no consensus on
the conceptualization of KT and what determines its success in organizations (Argote and
Ingram, 2000).
There have been some efforts to conduct literature reviews on KT. Examples are the
review works done by Frank et al. (2016) and Battistella et al. (2016). Our review shows that
while the extant studies contribute to our understanding of KT, the majority have been
conducted with a particular focus on one or few specic antecedents of KT, and in a
particular context (Muthusamy and White, 2005;Kamasak and Bulutlar, 2010;Park et al.,
2015). Thus, they do not portray a complete picture of KT antecedents. Understanding this
is key to accumulating theoretical knowledge and has important implications for
organizations in various contexts. Despite the fact that the pertinent literature on KT is
accumulating, the stream of research is still in the developmental stage, and arguably highly
inconsistent (Park et al.,2015).
In this paper, we seek to contribute to this area of research by providing a systematic
review of KT research. We rst explain the theoretical foundations of KT to be used as a
baseline for our review. The review covers 115 articles published between 1987 and 2017.
Building on our review, we develop a conceptual framework that summarizes the progress
in KT research and provides future research directions. Rooted in Actor Network Theory
(ANT), we focus on KT objects and actants in the proposed research framework. Unlike
prior research that has a narrow scope and it is context dependent (Ahmad and Daghfous,
2010; Meier, 2011), our synthesized systemic analysis is context-free and can be applied
within and among organizations within any sector, with any organizational size, and at any
levels, i.e. individuals or teams.
With respect to the theoretical contribution, our proposed conceptual framework extends
the work of recent scholars and offers a comprehensive review of key antecedents of KT,
which informs our current knowledge and provides avenues for further research in this
domain. Moreover, our research extends ANT to the context of KT and attempts to provide
meaningful theoretical insights. This research also provides\implications for managers who
wish to successfully develop and implement KT practices in their organizations. In this
regard, this research draws managersattention to the paramount role of inuential
constitutes involved in a successful KT, which enable them to make their KT practices more
value generating.
Theoretical background
Knowledge transfer
Several scholars (Argote and Ingram, 2000;Paulin and Suneson, 2012;Tangaraja et al.,2016)
attempted to dene KT. While KT has been dened from various perspectives, a careful
investigation into the conceptualization of KT highlights that it refers to the process of
acquisition and utilization of new sets of knowledge-based resources. KT, as an important
knowledge management activity in organizations, yields numerous benets to
organizations, e.g. cost efciency (Goh, 2002), exibility (Blome et al., 2014) and competitive
advantage (Kang et al.,2010). Some scholars use the terms KT and knowledge sharing (KS)
interchangeably, so they believe that these two concepts mean the same (Martín Cruz et al.,
2009). However, others (Paulin and Suneson, 2012) argue that KT and KS are not the same.
Indeed, KT, as a whole, is a broader concept which encompasses KS practices (Tangaraja
et al.,2016). While the distinction between these two concepts is blurred, we apply KT and
KS interchangeably in this research, not least because we intend to conduct a comprehensive
literature review.
Antecedents of
knowledge
transfer
971
A review of existing literature on KT reveals that there are some scholars who attempted
to conduct a systematic literature review and make connections between different works
from various perspectives. For instance, Battistella et al. (2016) critically reviewed the
relevant literature on inter-organizational technology/knowledge transfer. They proposed a
model of technology/knowledge transfer and considered six categories related to the actors
involved, i.e. sources, recipients and intermediaries, the relationship between them, the
object of the transfer, the channels and mechanisms and the reference context. In another
study, Burmeister (2017) investigated Repatriate KT (RKT) in the literature published
between 2000 and 2015. As a result, she offered an integrated framework of the variables
that affect RKT success. She proposed that the prerequisites for repatriation strategy
implementation can be classied in three levels: individual, dyad and organization. In the
context of software development, Ghobadi (2015) reviewed the literature on KT between
1993 and 2011 and suggested a classication framework which identies four main drivers
of KT: structure related drivers (team and organizational drivers), task related drivers,
people related drivers and technology related drivers.
In the aforementioned studies (Li et al.,2014), scholars chose various theoretical lens to
delineate the literature review on KT. The most cited and applied theories in KT are
reviewed in a study by Burmeister (2017) which are knowledge creation and organizational
learning, resource (or knowledge) based view, social capital theory/social resources theory,
communication theory, and social exchange theory. To the best of our knowledge, no
systematic study on KT has been conducted by using ANT, which builds the theoretical
grounding of this research. ANT enables us to better analyze the large body of literature on
KT through the perspectiveof actants and objects involved in KT practices.
Actornetwork theory
Originally rooted in sociology of scientic knowledge, ANT explains the relation between
underlying dissimilar elements of a heterogeneous network of aligned interests, including
people, organizations and standards (Elder-Vass, 2015). It argues that all co-extensive
networks comprise of both inseparable social and technical parts (Whittle and Spicer, 2008).
Any actor, whether a person, an object (including technological tools or technical standards),
or an organization, is equally important to a social network (Latour, 1996). The theory has
been used by researchers to explore how networks are built, assembled and maintained to
achieve a specic objective (Latour, 1996). It is necessary to note that ANT does not explain
why a network exists; it focuses on the infrastructure of actornetworks, how they are
formed and how they may fall apart (Latour, 2005). Since its introduction, ANT has
undergone signicant changes and evolutions in different elds, and used in various
contexts, from health care (Greenhalgh and Stones, 2010) to accounting (Justesen and
Mouritsen, 2011) and management and organizations (Alcadipani and Hassard, 2010).
Despite its popularity and potential contribution to understanding KT and its antecedents,
to our knowledge there is no current study that used ANT in the knowledge-related
contexts. Building on extant literature, we argue how this theory provides a robust
foundation to our research framework and enables us to carefully investigate KT and its
antecedents through an integrative analysis.
Drawing on ANT, we can identify, describe and justify the main network constitutes that
facilitate KT. By relying on the conceptualization of ANT by Law (2008), we propose that in
KT, actants (denote human and non-human actors) are included knowledge sender/receiver,
team and organization, whereas objects refer to technology, knowledge and knowledge
exchange (Figure 1). We argue that actants should operate in the context of organizational
norms, rules and strategies, team environment and expectations, available technology and
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the richness of knowledge base. Indeed, interactions in any KT practice are determined by a
combination of different network constitutes which include actants and objects, such as
knowledge base or technology. The interplay between actants and objects leads to a
systematic knowledgecreation and knowledge exchange which is demonstrated in Figure 1.
Following Couldrys (2008) work on the application of ANT in exploring the role of
media and communication technologies in contemporary societies, we apply ANT in the
context of KT to explain the web of connections between actants and objects. We propose
that knowledge senders/receivers, as the actant of KT activity, can learn from human
agents, different business units, organizations, technologies and/or objects, and hence, they
adjust their behavior in various ways in an intertwined network. We posit that the degree of
KT, and the level/amount of content generated and disseminated by knowledge sender/
receivers are inuenced by some antecedents within the infrastructure of KT actor
networks. These antecedents are carefully investigated in this research to delineate how
they operate and interactin a network of KT.
Methodology
To conduct a synthesized comprehensive review, we followed the suggestions by Leidner
and Kayworth (2006) to (i) carry out a literature review, (ii) select and apply appropriate
criteria for inclusion and exclusion of papers in the study, and nally (iii) develop a
conceptual framework grounded in the literature.
In order to review the literature, we proceeded with a search of databases in management
and information systems (IS), e.g. AIS, Science Direct, EBSCO and ABI/Inform. To identify
the relevant articles for our review, we utilized multiple terms and their combinations, such
as knowledge transfer, knowledge sharing, and knowledge exchange. Furthermore, to
ensure that our review is comprehensive, we reviewed bibliographies of the seminal papers
and assessed the relevant work, known as backward research approach. Since the literature
on this domain is very broad, we narrowed down our pool to empirical papers that directly
Figure 1.
The proposed
research framework
Antecedents of
knowledge
transfer
973
focused on KT or KS. We thus excluded papers that discuss other theoretically overlapping
but distinct concepts, such as knowledge interpretation from our review. Our search was
also limited to articles published between 1987 and 2017. To determine the suitability of the
papers for our study, we reviewed articlesabstract, introduction, and discussion/conclusion
(Swanson and Ramiller, 1993).
As a result of adopting a multi-staged review approach discussed above, we nally
identied 115 distinctive papers, which meet all the criteria listed above to be included in our
review. Each selected paper was then further reviewed with respect to our research aim,
adopted denitions, research constructs and conceptual framework. Having conducted this
critical and comprehensive analysis, 91 uniquely independent antecedents were identied.
Upon further classication and integration, six key constitutes emerged from our review
that encompasses all identied antecedents. The six key KT constitutes include knowledge
exchange, knowledge sender/receiver, organization, knowledge, team and technology.
Table I provides a summary of these six network constitutes along with a statistical outline
of each and their contributions to the whole review.
By comparing the rst and last columns of Table I, we can identify the areas in the
literature that are less developed. In the next section, each identied constitute and its
antecedents are described.
Findings
Following ANT, we grouped all KT antecedents into six. As demonstrated in Table I, the
rst two constitutes, knowledge exchange and knowledge sender/receiver account for over
half of antecedents involved in KT. Knowledge exchange refers to all signicant aspects
within the ow of knowledge. In fact, it is the actual process through which KT happens.
Therefore, it was placed at the center of the model (Figure 1) to highlight that all other ve
KT network constitutes are linked together through knowledge exchange. Antecedents such
as the levels of trust and risk involved, coordination requirements, speed and quality of
knowledge being exchanged through a reciprocal ow between a sender and receiver are all
investigated in this constitute of KT. Table II depicts all 27 identied antecedents which
encompass knowledgeexchange based on prior research.
The second major constitute of KT deals with the role of sender/receiver within the
process of KT (Minbaeva, 2007). Effective KT highly depends on the ability and motivation
of the knowledge sender to articulate knowledge and communicate with the receiver for an
Table I.
Descriptive statistics
KT network
constitutes
Total no. of
antecedents per each
constitute
Percentage of
antecedents from
total identified
antecedents
Total no. of
reviewed studies
No. of antecedents
per each constitute
cited more than three
times
Knowledge
exchange
27 30 65 10
Knowledge
sender/
receiver
20 22 75 9
Organization 15 16 52 5
Knowledge 11 12 45 6
Team 10 11 13 2
Technology 8 9 23 2
Total 91 100 ––
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No. Antecedents Definition Studies
Knowledge exchange
1 Trust The extent of accuracy and
credibility of KT and its knowledge
transferors
Barson et al. (2000),Disterer (2001),Sharratt and Usoro, 2003;Levin and
Cross, 2004;Malhotra and Majchrzak, 2004;Bock et al., 2005;Inkpen and
Tsang, 2005;Riege, 2005;Chiu et al., 2006;Hodgkinson, 2006;Watson
and Hewett, 2006;Zárraga-Oberty and De Saá-Pérez, 2006;Jabr, 2007;
Riusala and Smale, 2007;Li et al., 2007;Park and Im, 2007;Pee et al.,
2007;Riege, 2007;Ardichvili, 2008;Becerra et al., 2008;Bonache and
Zárraga-Oberty, 2008;Easterby-Smith et al., 2008;Lin et al., 2008;Liao,
2008;Van Wijk et al., 2008;Duan et al., 2010;Chen et al., 2014a;Chen
et al., 2014b;Li et al., 2014;Kang and Hau, 2014;Ghobadi, 2015;
Battistella et al., 2016;Bellini et al., 2016;Miller et al., 2016;Burmeister,
2017;Nakauchi et al., 2017)
2 Tie strength The extent of closeness and
frequency of interactions within a
relationship between two parties
(Hansen, 1999;Reagans and McEvily, 2003;Levin and Cross, 2004;
Riege, 2005;Li et al., 2007;Van Wijk et al., 2008;Kang and Hau, 2014;
Ghobadi, 2015;Leonardi and Meyer, 2015;Battistella et al., 2016;Bellini
et al., 2016;Burmeister, 2017;Nakauchi et al., 2017;Peltokorpi and
Yamao, 2017)
3 Communication competence The skills require to perform
appropriate communicative
behaviors, e.g. face-to-face
communication in the process of KT
(Albino et al., 2004;Riege, 2005;Ko et al., 2005a;Ko et al., 2005b;Yih-
Tong Sun and Scott, 2005;Jabr, 2007;Joshi et al., 2007;Pee et al., 2007;
Murray and Peyrette, 2007;Xu and Ma, 2008;Chen et al., 2014a;
Ghobadi, 2015;Leonardi and Meyer, 2015;Miller et al., 2016)
4 Arduous relationship An emotionally laborious and
distant relationship between a
source and a recipient of knowledge
(Szulanski, 1996;Ko et al., 2005a;Pee et al., 2007;Xu and Ma, 2008;
Szulanski et al., 2016)
5 Time KT requires time to nd the right
person, contact the person, retrieve
the necessary knowledge, and
integrate the new knowledge
(Riege, 2005;Jabr, 2007;Riege, 2007;Mueller, 2014;Zhao et al., 2015)
6 Shared understanding It refers to the similarities in grasp
and the level of experience between a
consultant and client
(Ko et al., 2005a;Pee et al., 2007;Teo and Bhattacherjee, 2014;Bellini
et al., 2016)
(continued)
Table II.
The antecedents of
KT
Antecedents of
knowledge
transfer
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No. Antecedents Definition Studies
7 Risk- Ownership KT inherently involves some levels
of risk, particularly where
proprietary knowledge is being
shared. It refers to the fear of losing
ownership of knowledge
(Barson et al., 2000;Yih-Tong Sun and Scott, 2005;Riege, 2007;Becerra
et al., 2008)
8 Reciprocity The level of desire in maintaining
ongoing relationships with others
(Barson et al., 2000;Bock et al., 2005;Chiu et al., 2006;Kang, 2016)
9 Social capital It refers to (i) structural capital, also
known as cognitive capital (e.g.
shared values, language and codes)
and (ii) relational capital (e.g.
trusting inter-organizational
relationship)
(Van den Hooff and Huysman, 2009;Yu et al., 2012;Kang and Hau, 2014;
Massaro et al., 2016)
10 Coordination The extent to which activities,
people, routines and assignments
work together to accomplish
objectives and promote mutual
understanding
(Chen et al., 2014a;Loebbecke et al., 2016;Miller et al., 2016)
11 Communication ows Open and effective communication
(openness)
(Bresnen et al., 2003;Riege, 2005;Riege, 2007;Bellini et al., 2016)
12 Communities of Practice (CoP) An effective approach to foster KT is
to think together, to stay in touch
with each other and to share ideas
with each other
(Disterer, 2001;Ghobadi, 2015;Massaro et al., 2016)
13 Anticipated emotions and
attitudes
It refers to forward-looking affective
reactions, when the person imagines
the emotional consequences of
sharing or not sharing
(Ghobadi, 2015;Nylund and Raelin, 2015)
14 Speed and quality The degree of speed and the level of
quality in the knowledge being
transferred through an effective
communication
(Jabr, 2007;Al-Salti, 2009)
(continued)
Table II.
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No. Antecedents Definition Studies
15 KT target To identify the area/context/unit in
which knowledge is employed
(Barson et al., 2000)
16 Intrusive Knowledge should be transferred
through efcient mechanisms which
minimize the work requirements
(Riege, 2007)
17 Overload (Lean KT) How KT practices are designed to
reduce information overload
(Riege, 2007)
18 Managers Mistake Tolerance
Levels
It captures and evaluates past honest
mistakes without being too critical of
them
(Riege, 2007)
19 Conict avoidance It implies the attitudes of conict
avoidance and conservative habits
which may prevent the transfer of
knowledge
(Disterer, 2001)
20 Knowledge governance It includes all efforts to support
cross-project KT to pursue the best
result
(Zhao et al., 2015)
21 Ease of KT It implies why individuals transfer
knowledge to some individuals but
not to others
(Reagans and McEvily, 2003)
22 Collective training It refers to a process whereby
sources of knowledge are imparted
by involving knowledge recipients in
interactions with those who use it
(Nakauchi et al., 2017)
23 Career advancement The degree to which a member
believes KT will affect their career
(Sharratt and Usoro, 2003)
24 Accuracy How accurately the recipient
reproduces a practice of the
organizational template
(Szulanski et al., 2004)
25 Density The extent to which knowledge
sender and receiver know each other
(Nakauchi et al., 2017)
(continued)
Table II.
Antecedents of
knowledge
transfer
977
No. Antecedents Definition Studies
26 Diversity The number of knowledge elements
that is connected to the knowledge
sender and receiver
(Brennecke and Rank, 2017)
27 Partner protectiveness It involves specialized personnel in KT,
e.g., technological gatekeepers and
specialized groups within organizational
structures, e.g., KT groups or the pricing
of access to proprietary information
(Simonin, 1999)
Knowledge sender and receiver
1 Motivation
(Source - Recipient)
The degree of willingness and belief
in the value of knowledge being
shared
(Szulanski, 1996;Barson et al., 2000;Disterer, 2001;Govindarajan and
Gupta, 2001;Malhotra and Majchrzak, 2004;Bock et al., 2005;Burgess,
2005;Ko et al., 2005a;Voelpel and Han, 2005;Dyer and Hatch, 2006;
Watson and Hewett, 2006;Riege and Zulpo, 2007;Milne, 2007;
Minbaeva, 2007;Ardichvili, 2008;Easterby-Smith et al., 2008;Lin et al.,
2008;Xu and Ma, 2008;Pérez-Nordtvedt et al., 2008;Al-Salti, 2009;
Oddou et al., 2009;Duan et al., 2010;Song, 2014;Teo and Bhattacherjee,
2014;Ghobadi, 2015;Bellini et al., 2016;Massaro et al., 2016;Miller et al.,
2016;Szulanski et al., 2016;Burmeister, 2017;Wei and Miraglia, 2017)
2 Absorptive capacity
(Retentive capacity)
It implies the ability to assess,
assimilate, institutionalize and apply
acquired knowledge
(Szulanski, 1996;Szulanski et al., 2004;Ko et al., 2005a;Dyer and Hatch,
2006;Inkpen and Pien, 2006;Pee et al., 2007;Riusala and Smale, 2007;
Easterby-Smith et al., 2008;Van Wijk et al., 2008;Xu and Ma, 2008;Al-
Salti, 2009;Oddou et al., 2009;Yeoh, 2009;Duan et al., 2010; Meier, 2011;
Yu et al., 2012;Minbaeva et al., 2014;Song, 2014;Iyengar et al., 2015;
Zhao et al., 2015;Khan et al., 2015;Massaro et al., 2016;Miller et al., 2016;
Szulanski et al., 2016;Burmeister, 2017;Liao et al., 2017)
3 Disseminative capacity It refers to team members
knowledge, skills, experience and
background which collectively
contribute to teamscapability in KT
(Grant, 1997;Simonin, 1999;Barson et al., 2000;Govindarajan and
Gupta, 2001;Bresnen et al., 2003;Haghirian, 2003;Malhotra and
Majchrzak, 2004;Watson and Hewett, 2006;Joshi et al., 2007;Park and
Im, 2007;Riege, 2007;Ardichvili, 2008;Easterby-Smith et al., 2008;Lin
et al., 2008;Al-Salti, 2009;Yeoh, 2009;Oddou et al., 2009;Song, 2014;
Ghobadi, 2015;Zhao et al., 2015;Battistella et al., 2016;Massaro et al.,
2016;Burmeister, 2017;Nakauchi et al., 2017 )
(continued)
Table II.
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No. Antecedents Definition Studies
4 Experience The greater the level of prior
experience/expertise of the
knowledge seeker with the
underlying knowledge domain, the
less ambiguous the knowledge to be
transferred
(Simonin, 1999;Riege, 2005;Pee et al., 2007;Riege, 2007;Santhanam
et al., 2007;Ringberg and Reihlen, 2008;Oddou et al., 2009;Kamasak
and Bulutlar, 2010;Duan et al., 2010;Kang and Hau, 2014;Argote and
Fahrenkopf, 2016;Nakauchi et al., 2017)
5 Shared vision/goals It concerns a bonding mechanism
that helps different parts of an
organization to integrate resources
to reach the organizations goals
(Inkpen and Tsang, 2005;Riege, 2005;Chiu et al., 2006;Li et al., 2007;
Van Wijk et al., 2008;Ghobadi, 2015;Bellini et al., 2016;Peltokorpi and
Yamao, 2017;Liao et al., 2017)
6 Power and status seeking
authorities
The degree that a person/party/
agent can change or control the
behaviour of other persons/parties/
agents within KT process
(Disterer, 2001;Jabr, 2007;Riege, 2007;Riusala and Smale, 2007;Liao,
2008;Easterby-Smith et al., 2008;Oddou et al., 2009)
7 Credibility It refers to the reliability and
reputation of a knowledge sender
(Szulanski, 1996;Dyer and Hatch, 2006;Elwyn et al., 2007;Joshi et al.,
2007;Pee et al., 2007;Al-Salti, 2009;Li et al., 2014;Ghobadi, 2015)
8 Tenure It concerns (i) the respondents
length of employment, (ii) the length
of the time that team members have
work together, and (iii) the age of the
respondent
(Riege, 2005;Riege, 2007;Liebowitz et al., 2007;Kang and Hau, 2014;
Ghobadi, 2015;Nakauchi et al., 2017)
9 Personality differences
(gender, race, rank)
The differences in individual
characters in terms of their tastes,
preferences, gender, race education
level, and rank which might affect
their direct confrontation and
communication with relevant parties
(Reagans and McEvily, 2003;Riege, 2005;Yih-Tong Sun and Scott, 2005;
Riege, 2007;Nakauchi et al., 2017)
10 Uncertainty Knowledge sender or receiver are not
certain about the value of the
knowledge to be transferred
(Disterer, 2001;Battistella et al., 2016)
11 Identication It refers to ones conception of self in
terms of the dening features of self-
inclusive social category
(Chiu et al., 2006;Ghobadi, 2015)
(continued)
Table II.
Antecedents of
knowledge
transfer
979
No. Antecedents Definition Studies
12 Proximity Similarity in sendersembeddedness
in the knowledge network
(Slaughter and Kirsch, 2006;Brennecke and Rank, 2017)
13 Job security It implies apprehension or fear
towards sharing knowledge because
it may jeopardize ones job security
(Riege, 2005;Riege, 2007)
14 Sense of self-worth It captures the extent to which
employees see themselves as
providing value to their
organizations through their KT
activities
(Bock et al., 2005)
15 Perceived punishment Employees are less likely to
exchange information in the absence
of openness, psychological safety
(Burgess, 2005)
16 Incoherent paradigms It considers the difculties in
articulating and justifying personal
beliefs which do not t with the
ruling paradigms of the organization
(Disterer, 2001)
17 Self-efcacy The degree of inuence on
downward KT
(Kang, 2016)
18 Recipients starting conditions It refers to knowledge receivers
mind-set and level of knowledge
(Ghobadi, 2015)
19 Need to become part of the
group
It refers to the desire of individuals
to feel part of the team and share
knowledge with other team members
(Ghobadi, 2015)
20 Distributive justice It is dened as the perceived fairness
of organizational rewards that an
employee may receive after sharing
knowledge with others
(Ghobadi, 2015)
Organization
1 Culture The existence of collective
characteristics, behaviours, norms
and values that inuence the
interactions between individuals and
(Simonin, 1999;Barson et al., 2000;Disterer, 2001;Gold et al., 2001;
McDermott and ODell, 2001;Bresnen et al., 2003;Haghirian, 2003;
Albino et al., 2004;Bock et al., 2005;Burgess, 2005;Inkpen and Tsang,
2005;Riege, 2005;Voelpel and Han, 2005;Liebowitz et al., 2007;Riege,
(continued)
Table II.
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980
No. Antecedents Definition Studies
their intention towards KT
behaviour
2007;Riege and Zulpo, 2007;Ajmal and Koskinen, 2008;Ardichvili,
2008;Ringberg and Reihlen, 2008;Ambos and Ambos, 2009; Salti, 2009;
Van den Hooff and Huysman, 2009;Duan et al., 2010;Tuan, 2012;Li
et al., 2014;Mueller, 2014; Al- Battistella et al., 2016;Benbya, 2016;Kang,
2016;Massaro et al., 2016;Burmeister, 2017;Wei and Miraglia, 2017)
2 Structure The degree of bureaucracy,
hierarchy and exibility determines
the level of formality and control
over KT practices
(Grant, 1997;Gold et al., 2001;Bresnen et al., 2003;Sharratt and Usoro,
2003;Riege, 2005;Ivory et al., 2007;Riege, 2007;Riusala and Smale,
2007;Easterby-Smith et al., 2008;Van Wijk et al., 2008;Van den Hooff
and Huysman, 2009;Zaidman and Brock, 2009;Duan et al., 2010;
Ghobadi, 2015;Benbya, 2016)
3 Distance It refers to geographic (space-
distance), linguistic and normative
distance in KT behaviour
(DeCarolis and Deeds, 1999;Simonin, 1999;Barson et al., 2000;Van Wijk
et al., 2008;Al-Salti, 2009;Ambos and Ambos, 2009; Jones and Low,
2006; Duan et al., 2010;Ghobadi, 2015;Ahammad et al., 2016;Battistella
et al., 2016;Bellini et al., 2016)
4 Reward and recognition
system
An effective incentive system
ensures that everyone contributes to
what and to whom it matters
(Burgess, 2005;Riege, 2005;Riege, 2007;Bellini et al., 2016;Benbya,
2016)
5 Resources It refers to all types of resources and
infrastructure to successfully
support transfer practices and
opportunities
(Barson et al., 2000;Riege, 2005;Riege, 2007;Massaro et al., 2016)
6 Template- Methodology It implies all routines and methods
for identifying, acquiring,
structuring, generating, storing,
distributing and assessing
knowledge
(Barson et al., 2000;Jensen and Szulanski, 2007;Wei and Miraglia, 2017)
7 Context The degree to which an
organizational context supports the
development of KT
(Szulanski et al., 2004;Van Wijk et al., 2008;Battistella et al., 2016)
8 Direction and strategy It highlights the essential need for
senior management support of KT
activities
(Barson et al., 2000;Riege, 2005;Riege, 2007)
(continued)
Table II.
Antecedents of
knowledge
transfer
981
No. Antecedents Definition Studies
9 Organizational size It facilitates ease of sharing (Riege, 2005;Riege, 2007;Van Wijk et al., 2008)
10 Transactive memory It refers to the knowledge of who
knows what
(Yu et al., 2012;Ghobadi, 2015)
11 Space A physical work environment and
layout of work areas may restrict/
promote KT
(Riege, 2005,2007)
12 Competitiveness The degree of external or internal
competitiveness within and across
business units which may
encourage/discourage them towards
KT
(Riege, 2005,2007)
13 Procedural It concerns what knowledge sources
can/cannot be shared due to security
and condentiality considerations
(Ardichvili et al., 2003;Gareld, 2006)
14 Cost It refers to the cost of managing KT
collaboration.
(Barson et al., 2000)
15 Ethics The subjective portion of the starting
points of any human behaviour
process encompassing business
(Tuan, 2012)
Knowledge
1 Tacitness (Codiability) It refers to the degree that
knowledge can be broken down into
specic components which are
unambiguous and easy to
understand
(Simonin, 1999;Reagans and McEvily, 2003;Bou-Llusar and Segarra-
Ciprés, 2006;Inkpen and Pien, 2006;Zhang, 2006;Riusala and Smale,
2007;Becerra et al., 2008;Pérez-Nordtvedt et al., 2008;Xu and Ma, 2008;
Yeoh, 2009;Kang et al., 2010;Teo and Bhattacherjee, 2014;Park et al.,
2015;Battistella et al., 2016;Loebbecke et al., 2016;Burmeister, 2017;
Kudaravalli et al., 2017;Nakauchi et al., 2017)
2 Availability The extent to what knowledge is
available and easily accessible for
use
(Malhotra and Majchrzak, 2004;Watson and Hewett, 2006;Ivory et al.,
2007;Ajmal and Koskinen, 2008;Bonache and Zárraga-Oberty, 2008;Xu
and Ma, 2008;Lin et al., 2008;Benbya, 2016;Nakauchi et al., 2017)
3 Casual ambiguity The degree of understanding
between determinants and
consequences of actions
(Szulanski, 1996;Szulanski et al., 2004;Dyer and Hatch, 2006;Riege and
Zulpo, 2007;Bonache and Zárraga-Oberty, 2008;Easterby-Smith et al.,
(continued)
Table II.
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31,6
982
No. Antecedents Definition Studies
2008;Van Wijk et al., 2008;Xu and Ma, 2008;Duan et al., 2010;Szulanski
et al., 2016)
4 Complexity- Difculty The extent to what KT is demanding
and complicated and it consists of
several interacting elements, such as
related practices, individuals, skills,
resources
(Simonin, 1999;Bou-Llusar and Segarra-Ciprés, 2006;Riusala and
Smale, 2007;Easterby-Smith et al., 2008;Xu and Ma, 2008;Kang et al.,
2010;Leonardi and Meyer, 2015;Battistella et al., 2016)
5 Value of knowledge
importance
The degree of value perceived in KT
which promotes higher engagement
in the process of KT
(Sharratt and Usoro, 2003;Malhotra and Majchrzak, 2004;Riege, 2005;
Watson and Hewett, 2006;Riege, 2007;Pérez-Nordtvedt et al., 2008;
Kang et al., 2010;Battistella et al., 2016)
6 Language The difculty and inuence of
language on the process of
knowledge transfers, particularly
when it meant to occur in a foreign
language
(Disterer, 2001;Haghirian, 2003;Riege, 2005;Voelpel and Han, 2005;
Chiu et al., 2006;Riege, 2007;Duan et al., 2010;Peltokorpi and Yamao,
2017)
7 Specicity-
Contextuality- Criticality
The more knowledge is context-
specic, the more difcult it can be
used in different contexts
(Bou-Llusar and Segarra-Ciprés, 2006;Battistella et al., 2016;Burmeister,
2017)
8 Proneness The degree of conjecture on the
utility of the transferred knowledge
(Szulanski et al., 2004)
9 Systemic Autonomous nature of knowledge (Bou-Llusar and Segarra-Ciprés, 2006)
10 Volatility The temporary value of the
knowledge
(Zhang, 2006)
11 Comprehensiveness The extent to which knowledge is
unambiguous, diverse and complete
(Benbya, 2016)
Team
1 Responsibility- Leadership Knowledge needs to be nurtured,
supported, enhanced, and cared for
within teams
(Disterer, 2001;Riege, 2005;Voelpel and Han, 2005;Oddou et al., 2009;
Mueller, 2014;Ghobadi, 2015;Bellini et al., 2016;Massaro et al., 2016;
Burmeister, 2017)
2 Openness to ideas Being keen to deviate from a
common trend of thought
(Yih-Tong Sun and Scott, 2005;Duan et al., 2010;Bellini et al., 2016;Liao
et al., 2017)
3 Climate (Yih-Tong Sun and Scott, 2005;Zhao et al., 2015)
(continued)
Table II.
Antecedents of
knowledge
transfer
983
No. Antecedents Definition Studies
The relational and trusting
relationship would implicitly effect
KT
4 Condence Team condence in the individual/
acceptance of the individual
(Yih-Tong Sun and Scott, 2005)
5 Heterogeneity It refers to the degree of dispersion
among team members in terms of
their demographic characteristics,
experiences, skills, cognitions, and
values
(Ghobadi, 2015)
6 Autonomy The extent to which a team in the
organization has been given the
freedom, independence, and
discretion to determine what actions
are required and how best to execute
them
(Ghobadi, 2015)
7 Team building activities Communication, problem solving,
decision making, adaptability,
planning, and trust building
activities
(Bellini et al., 2016)
8 Output orientation It focuses on the intended nal
product or results of teamwork
(Mueller, 2014)
9 Interdependencies It refers to the degree to which team
members depend on each other for
completing their tasks
(Ghobadi, 2015)
10 Perceived indispensability It reects the perceived importance
of ones own contributions for the
team outcome
(Ghobadi, 2015)
Technology
(continued)
Table II.
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31,6
984
No. Antecedents Definition Studies
1 IT systems and tools It considers communication channels
used in the provision and exchange
of Knowledge
(Alavi and Leidner, 2001;Barson et al., 2000;Bollinger and Smith, 2001;
Gold et al., 2001;Bresnen et al., 2003;Malhotra and Majchrzak, 2004;
Murray and Peyrette, 2007;Riege, 2007;Ardichvili, 2008;Al-Salti,
2009;Van den Hooff and Huysman, 2009;Duan et al., 2010;Yu et al.,
2012;Ghobadi, 2015;Bellini et al., 2016)
2 Technical support It refers to the internal and/or
external supports and immediate
maintenance of integrated
technology in KT
(Riege, 2005;Riege, 2007;Santhanam et al., 2007;Ardichvili, 2008)
3 Compatibility It concerns the ability to share any
type of knowledge sources across
various technology components/
infrastructures
(Riege, 2005;Riege, 2007;Yu et al., 2012)
4 Reluctance to use integrated
IT systems
The lack of familiarity and
experience with systems and tools
(Riege, 2005;Voelpel and Han, 2005;Riege, 2007)
5 Perceived usefulness/ Ease of
use
The degree of perceived value in the
applicability and usefulness of a
technology/system in the process of
KT
(Sharratt and Usoro, 2003;Nakauchi et al., 2017)
6 Channel richness
(effectiveness)
The degree of effectiveness of
knowledge being exchanged
between a vendor and a client by
using an electronic communication
channel
(Xu and Yao, 2006;Pee et al., 2007)
7 Training The level of training provided by an
organization to familiarize their staff
with the new IT/non-IT systems
used for KT
(Riege, 2005;Bellini et al., 2016)
8 Expectations It refers to the level of expectations
as to what technology can do or
cannot do with respect to KT
activities
(Riege, 2005,2007)
Table II.
Antecedents of
knowledge
transfer
985
effective sharing (Massaro et al., 2016;Miller et al.,2016). Similar to knowledge sender, the
capacity of knowledge receiver to absorb and use the transferred knowledge plays an
important role in the success of KT (Vagheet al., 2018). It should be noted that the
antecedents involved in knowledge sender/receiver are different from the knowledge
exchange. In knowledge exchange, our focus is on the process of exchange, whereas in
knowledge sender/receiver antecedent, the specications of knowledge sender/receiver are
investigated. A total of 20 antecedents are recognized in this KT object, which include
sender/receivers motivation, experience, shared vision/goals, credibility and tenure. A full
list of antecedents along with a brief denition and a sample of studies referred to each are
illustrated in Table II.
The third most signicant KT network constitute relates to the organization, which
highlights the importance of social and contextual factors inuencing knowledge actants
and objects and the interplay between them (Riege and Zulpo, 2007;Liebowitz et al.,2007;
Ardichvili, 2008). A total of 15 antecedents, including structure, distance, space, cost, etc.
have been referred by prior studies as the key inuential factors that dene the organization
of any KT activity.
Knowledge is the fourth recognized constitute of KT which accounts over 10 per cent of
antecedents from the total antecedents. Indeed, the rst essential enabler of any KT is
related to the type and nature of knowledge being transferred. Extant research has revealed
the signicant role of antecedents related to knowledge, such as explicitness (Bou-Llusar
and Segarra-Ciprés, 2006), simplicity (Ambos and Ambos, 2009) and availability (Nakauchi
et al., 2017). See Table II for the full list of 11 variables of this antecedent. The last two KT
constitutes highlight the importance of team and technology in any successful KT practice.
In any KT, a team of at least two, i.e. sender and receiver must work together to exchange
targeted knowledge. Antecedents, such as the extent of team membersopenness to transfer
new ideas/knowledge (Bellini et al.,2016), autonomy to decide on various stages of KT
(Ghobadi, 2015), and the degree of team being output oriented (Mueller, 2014) are included in
this constitute. Finally, technology refers to the technical mechanisms underlying KT.
Today, many organizations apply IT/IS as the main communication channel which provides
them with a faster and more secured means of transferring knowledge. However, soft KT
via IT/IS brings its own challenges, so issues such as the compatibility of the systems in
between sender and receiver (Yu et al.,2012), the level of technical support (Wehn and
Montalvo, 2018) training about the technology being used for transfer (Bellini et al.,2016)
and the effectiveness/richness of the channel of exchange (Pee et al.,2007) are essential
antecedents to be considered in this constitute of KT (Table II).
Having presented the six main network constitutes of KT, it is imperative to note that not
all identied ones are equally applicable and/or signicant in all KT contexts, both inter and
intra organizations. This is not a surprising nding, as this paper intended to provide a
comprehensive, yet a context-free review of antecedents affecting KT which covers both
rm level and inter-rm KT considerations. To this end, our research aimed to provide a
holistic roadmap for organizations to select and employ the KT constitutes and their
corresponding antecedents that they nd relevant to their KT practices, yet the ndings
should be interpreted with discretion.
Research contributions
Our paper makes important contributions. From a theoretical perspective, adopting a
synthesized approach based on ANT puts forward a valid theoretical foundation on further
understanding of KT and its network constitutes. This theoretical lens helped us analyze the
complex organizational behavior of KT from objects and actantsview. Accordingly, our
EBR
31,6
986
research contributed to theoretically extending the application of ANT in KT. Moreover, our
proposed framework contributes to KT research by providing ontology of the underlying
constitutes of KT from a socio-technical point of view. Therefore, by adopting a
comprehensive approach to identify the key antecedents of KT, we contribute to
understanding the motivational, behavioral, technological and organizational aspects of KT.
Taking all aforementioned aspects into account, this research contributes to existing
literature by offering a comprehensive context-free literature review on KT, which
synthesizes and generalizes the ndings of existing knowledge on KT.
From a practical perspective, this study offers useful insights for both knowledge
workers and business managers to help improve their KT processes and successfully
manage them within and across their organizations. Our framework shows that a successful
development and implementation of KT demands a high level of coordination and
communication throughout the organizational structure, policies and culture. Hence, we
draw managersattention to the signicance of adopting a holistic perspective in
implementing KT and posit that managers need to carefully consider all key constitutes
(that are applicable to their work). Indeed, managers may not be able to realize the potential
values of KT if they underestimate key points, such as the characteristics of their
organization, the type of technology used, and the nature and the attributes of knowledge
being transferred. While providing no mandate, our framework can be used as a guideline
for managers and organizations to understand the key antecedents that could affect the
process of inter and intra organizational KT, and its eventual success.
Moreover, our research framework has the potential to provide an assessment tool for
KTs effectiveness. For example, through the lens of knowledge sender/receiver category,
organizations can assess the strengths and weaknesses/shortcomings of a KT project team.
Indeed, by using the six KT constitutes identied in this research, organizations can outline
how an assessment tool can be put together to identify the deciencies in their existing KT
system and thus nd ways for improving it. For instance, an organization with different
business units is required to apply effective communication models and methods within and
between its businesses to increase efciency, decrease wastes and nally enhance the
organizations competitiveness. By applying our framework, managers can nd potential
communication barriers (noises) that may prevent an appropriate KT model, e.g. lack of
trust, accuracy and credibility of the KT and its transferors (Table II). Also based on their
current organizations circumstances, managers can detect which one of the constitutes or
antecedents works better in interactive vs. push or pull method of communication. The
underlying assumption in here is that organizations are not static entities and their
environment and inter and intra organizational interactions are dynamic in nature. This can
be considered as one of the key empirical contributions of this study, as the existing
literature provides little direction to managers on how to reap the most benets from their
investment on KT practices. In this regard, we encourage managers to adopt a holistic
perspective on where managerial efforts and resources should be invested to foster KT in
their organizations.
Conclusion, limitations and future studies
In this paper, we provided an overview of the current knowledge on KT, and proposed a
conceptual framework based on ANT, which highlighted the key constitutes and
antecedents that inuence KT. Based on ANT, we categorized KT constitutes as actants and
objects. The KT constitutes that are related to actants were human-oriented, while the
object-related constitutes were about the artifacts that facilitate KT. We found three
constitutes of actants related to organization, team, and knowledge sender/receiver, and
Antecedents of
knowledge
transfer
987
three constitutes of objects related to technology, knowledge exchange and knowledge. For
each constitute, the main antecedents, including those that facilitate or impede KT were
investigated. Our ndings advance extant research on the key constitutes that inuence KT
process:
individual choices on knowledge characteristics;
knowledge exchange environment;
knowledge senders and receiversspecications;
organizational capacity;
team provisions; and
KT technological enablers.
A few limitations need to be acknowledged. The rst limitation is related to the selected
keywords for review. KT literature is increasingly growing and since the ndings of this
research are based on the reviewed studies in the current literature, universality and
generalizability of the results might be questioned. Similarly, as our research is established
on the ndings of the reviewed papers, the limitation of these studies may restrict the
ndings of our research (Ghobadi, 2015). Future studies may build on our ndings to push
our understanding of KT research. Additionally, as our focus was on identifying the actants
and objects of the KT (demonstrated in Figure 1), investigating the interactions between
them as the main KT network constitutes was beyond the scope of this research (and hence
not examined). Future research is needed to pay specic attention to such relationships and
carefully assess the nature and direction of the link between the KT constitutes to further
develop this research ndings. Moreover, for each constitute, new theoretical perspectives
can be employed to add further insights to the body of extant knowledge. Finally, as
discussed in the ndings section, some constitutes such as technology are still
underdeveloped, and while few scholars have highlighted the signicant role of these
constitutes and their antecedents, future research is needed in such domains to enrich the
existing knowledge base.
References
Ahammad, M.F., Tarba, S.Y., Liu, Y. and Glaister, K.W. (2016), Knowledge transfer and cross-border
acquisition performance: the impact of cultural distance and employee retention,International
Business Review, Vol. 25 No. 1, pp. 66-75.
Ahmad, N. and Daghfous, A. (2010), Knowledge sharing through inter-organizational knowledge
networks: challenges and opportunities in the United Arab Emirates,European Business
Review, Vol. 22 No. 2, pp. 153-174.
Ajmal, M.M. and Koskinen, K.U. (2008), Knowledge transfer in project-based organizations: an
organizational culture perspective,Project Management Journal, Vol. 39 No. 1, pp. 7-15.
Al-Salti, Z. (2009), Knowledge transfer and acquisition in IS outsourcing: towards a conceptual
framework,UK Academy for Information Systems Conference proceeding,London, pp. 1-11.
Alavi, M. and Leidner, D.E. (2001), Knowledge management and knowledge management systems:
conceptual foundations and research issues,MIS Quarterly, Vol. 25 No. 1, pp. 107-136.
Albino, V., Garavelli, A. and Gorgoglione, M. (2004), Organization and technology in knowledge
transfer,Benchmarking: An International Journal, Vol. 11 No. 6, pp. 584-600.
Alcadipani, R. and Hassard, J. (2010), Actor-network theory, organizations and critique: towards a
politics of organizing,Organization, Vol.17 No. 4, pp. 419-435.
EBR
31,6
988
Ambos, T.C. and Ambos, B. (2009), The impact of distance on knowledge transfer effectiveness in
multinational corporations,Journal of International Management, Vol. 15 No. 1, pp. 1-14.
Ardichvili, A. (2008), Learning and knowledge sharing in virtual communities of practice: motivators,
barriers, and enablers,Advances in Developing Human Resources, Vol. 10 No. 4, pp. 541-554.
Ardichvili, A., Page, V. and Wentling, T. (2003), Motivation and barriers to participation in virtual
knowledge-sharing communities of practice,Journal of Knowledge Management, Vol. 7 No. 1,
pp. 64-77.
Argote, L. and Ingram, P. (2000), Knowledge transfer: a basis for competitive advantage in rms,
Organizational Behavior and Human Decision Processes, Vol. 82 No. 1, pp. 150-169.
Argote, L. and Fahrenkopf, E. (2016), Knowledge transfer in organizations: the roles of members,
tasks, tools, and networks,Organizational Behavior and Human Decision Processes, Vol. 136,
pp. 146-159.
Barson, R.J. et al. (2000), Inter-and intra-organisational barriers to sharing knowledge in the extended
supply-chain,Proceedings of the eBusiness and eWork,Madrid, pp. 367-373.
Battistella, C., De Toni, A.F. and Pillon, R. (2016), Inter-organisational technology/knowledge transfer:
a framework from critical literature review,The Journal of Technology Transfer, Vol. 41 No. 5,
pp. 1195-1234.
Becerra, M., Lunnan, R. and Huemer, L. (2008), Trustworthiness, risk, and the transfer of tacit and
explicit knowledge between alliance partners,Journal of Management Studies, Vol. 45 No. 4,
pp. 691-713.
Bellini, A., Aarseth, W. and Hosseini, A. (2016), Effective knowledge transfer in successful partnering
projects,Energy Procedia, Vol. 96, pp. 218-228.
Benbya, H. (2016), Mechanisms for knowledge transfer in the context of knowledge platforms: a
governance perspective,Systèmes Dinformation and Management, Vol.21 No. 1, pp. 39-67.
Blome, C., Schoenherr, T. and Eckstein, D. (2014), The impact of knowledge transfer and complexity
on supply chain exibility: a knowledge-based view,International Journal of Production
Economics, Vol. 147, pp.307-316.
Bock, G.W., Zmud, R.W., Kim, Y.G. and Lee, J.N. (2005), Behavioral intention formation in knowledge
sharing: examining the roles of extrinsic motivators, social-psychological forces, and
organizational climate,MIS Quarterly, Vol. 29 No. 1, pp. 87-111.
Bollinger, A.S. and Smith, R.D. (2001), Managing organizational knowledge as a strategic asset,
Journal of Knowledge Management, Vol. 5 No. 1, pp. 8-18.
Bonache, J. and Zárraga-Oberty, C. (2008), Determinants of the success of international assignees as
knowledge transferors: a theoretical framework,The International Journal of Human Resource
Management, Vol. 19 No. 1, pp. 1-18.
Bou-Llusar, J.C. and Segarra-Ciprés, M. (2006), Strategic knowledge transfer and its implications for
competitive advantage: an integrative conceptual framework,Journal of Knowledge
Management, Vol. 10 No. 4, pp. 100-112.
Brennecke, J. and Rank, O. (2017), The rms knowledge network and the transfer of advice
among corporate inventors a multilevel network study,Research Policy, Vol. 46 No. 4,
pp. 768-783.
Bresnen, M., Edelman, L., Newell, S., Scarbrough, H. and Swan, J. (2003), Social practices and the
management of knowledge in project environments,International Journal of Project
Management, Vol. 21 No. 3, pp. 157-166.
Burgess, D. (2005), What motivates employees to transfer knowledge outside their work unit?,Journal
of Business Communication, Vol. 42 No. 4, pp. 324-348.
Burmeister, A. (2017), Repatriate knowledge transfer: a systematic review of the literature, in Bader,
B., Schuster, T. and Bader, A.K. (Eds), Expatriate Management, Palgrave Macmillan, London,
pp. 225-264.
Antecedents of
knowledge
transfer
989
Chen, C.J., Hsiao, Y.C. and Chu, M.A. (2014a), Transfer mechanisms and knowledge transfer: the
cooperative competency perspective,Journal of Business Research, Vol. 67 No. 12,
pp. 2531-2541.
Chen, Y.H., Lin, T.P. and Yen, D.C. (2014b), How to facilitate inter-organizational knowledge sharing:
the impact of trust,Information and Management, Vol. 51 No. 5, pp. 568-578.
Chiu, C.M., Hsu, M.H. and Wang, E.T. (2006), Understanding knowledge sharing in virtual
communities: an integration of social capital and social cognitive theories,Decision Support
Systems, Vol. 42 No. 3, pp. 1872-1888.
Couldry, N. (2008), Actor network theory and media: do theyconnect and on what terms?, in Hepp, A.,
Krotz, F., Moores, S. and Winter, C. (Eds), Connectivity, Networks and Flows: Conceptualizing
Contemporary Communications, Hampton Press, Cresskill, NJ, pp. 93-110.
DeCarolis, D.M. and Deeds, D.L. (1999), The impact of stocks and ows of organizational knowledge
on rm performance: an empirical investigation of the biotechnology industry,Strategic
Management Journal, Vol. 20 No. 10, pp. 953-968.
Disterer, G. (2001), ““Individual and social barriers to knowledge transfer,Proceedings of the 34th
Annual HI International Conference on System Sciences (HICSS-34) in Washington, DC, IEEE
Press, pp. 7.
Duan, Y., Nie, W. and Coakes, E. (2010), Identifying key factors affecting transnational knowledge
transfer,Information and Management, Vol. 47 Nos 7/8, pp. 356-363.
Dyer, J.H. and Hatch, N.W. (2006), Relation-specic capabilities and barriers to knowledge transfers:
creating advantage through network relationships,Strategic Management Journal, Vol. 27
No. 8, pp. 701-719.
Easterby-Smith, M., Lyles, M.A. and Tsang, E.W. (2008), Inter-organizational knowledge
transfer: current themes and future prospects,Journal of Management Studies,Vol.45
No. 4, pp. 677-690.
Elder-Vass, D. (2015), Disassembling actor-network theory,Philosophy of the Social Sciences, Vol. 45
No. 1, pp. 100-121.
Elwyn, G., Taubert, M. and Kowalczuk, J. (2007), Sticky knowledge: a possible model for investigating
implementation in healthcare contexts,Implementation Science, Vol. 2 No. 1, pp. 44-52.
Frank, A.G., Riberio, J.L.D. and Echeveste, M.E. (2016), Factors inuencing knowledge transfer
between NPD teams: a taxonomic analysis based on a sociotechnical approach,R&D
Management, Vol. 45 No. 1, pp. 1-22.
Gareld, S. (2006), Reasons why people dont share their knowledge,Knowledge Management Review,
Vol. 9 No. 2, pp. 10-11.
Ghobadi, S. (2015), What drives knowledge sharing in software development teams: a lliterature
review and classication framework,Information and Management, Vol. 52No. 1, pp. 82-97.
Goh, S. (2002), Managing effective knowledge transfer: an integrative framework and some practice
implications,Journal of Knowledge Management, Vol. 6 No. 1, pp. 23-30.
Gold, A.H., Malhotra, A. and Segars, A.H. (2001), Knowledge management: an organizational
capabilities perspective,Journal of Management Information Systems, Vol. 18 No. 1,
pp. 185-214.
Govindarajan, V. and Gupta, A.K. (2001), Building an effective global business team,MIT Sloan
Management Review, Vol. 42 No. 4, pp. 63-71.
Grant, R.M. (1997), The knowledge-based view of the rm: implications for management practice,
Long Range Planning, Vol. 30No. 3, pp. 450-454.
Greenhalgh, T. and Stones, R. (2010), Theorising big IT programmes in healthcare: strong
structuration theory meets actor-network theory,Social Science and Medicine, Vol. 70 No. 9,
pp. 1285-1294.
EBR
31,6
990
Haghirian, P. (2003), Does culture really matter? Cultural inuences on the knowledge transfer process
within multinational corporations,Proceedings of the 11th European Conference on
Information Systems, ECIS Press,Naples, p. 70.
Hansen, M.T. (1999), The search-transfer problem: the role of weak ties in sharing knowledge across
organization subunits,Administrative Science Quarterly, Vol. 44 No. 1, pp. 82-111.
Hodgkinson, D.M. (2006), Collaborative behaviour amongst LIS students,Education for Information,
Vol. 24 Nos 2/3, pp. 125-138.
Inkpen,A.C.andPien,W.(2006),An examination of collaboration and knowledge transfer: China
Singapore Suzhou industrial park,Journal of Management Studies, Vol. 43 No. 4,
pp. 779-811.
Inkpen, A.C. and Tsang, E.W. (2005), Social capital, networks, and knowledge transfer,Academy of
Management Review, Vol. 30 No. 1, pp. 146-165.
Ivory, C.J., Alderman, N., Thwaites, A.T., McLoughlin, I.P. and Vaughan, R. (2007), Working around
the barriers to creating and sharing knowledge in Capital goods projects: the clients
perspective,British Journal of Management, Vol. 18 No. 3, pp. 224-240.
Iyengar, K., Sweeney, J.R. and Montealegre, R. (2015), Information technology use as a learning
mechanism: the impact of IT use on knowledge transfer effectiveness, absorptive capacity, and
franchisee performance,MIS Quarterly, Vol. 39 No. 3, pp. 615-641.
Jabr, N.H. (2007), Physiciansattitudes towards knowledge transfer and sharing,Competitiveness
Review, Vol. 17 No. 4, pp. 248-260.
Jensen, R.J. and Szulanski, G. (2007), Template use and the effectiveness of knowledge transfer,
Management Science, Vol. 53 No. 11, pp. 1716-1730.
Joshi, K.D., Sarker, S. and Sarker, S. (2007), Knowledge transfer within information systems
development teams: examining the role of knowledge source attributes,Decision Support
Systems, Vol. 43 No. 2, pp. 322-335.
Justesen, L. and Mouritsen, J. (2011), Effects of actor-network theory in accounting research,
Accounting, Auditing and Accountability Journal, Vol. 24 No. 2, pp. 161-193.
Kamasak, R. and Bulutlar, F. (2010), The inuence of knowledge sharing on innovation,European
Business Review, Vol. 22 No. 3, pp. 306-317.
Kang, J. (2016), Knowledge withholding: psychological hindrance to the innovation diffusion within an
organisation,Knowledge Management Research and Practice, Vol. 14 No. 1,pp. 144-149.
Kang, J., Rhee, M. and Kang, K.H. (2010), Revisiting knowledge transfer: effects of knowledge
characteristics on organizational effort for knowledge transfer,Expert Systems with
Applications, Vol. 37 No. 12, pp. 8155-8160.
Kang, M. and Hau, Y.S. (2014), Multi-level analysis of knowledge transfer: a knowledge recipients
perspective,Journal of Knowledge Management, Vol. 18 No. 4, pp. 758-776.
Khan, Z., Shenkar, O. and Lew, Y.K. (2015), Knowledge transfer from international joint ventures to
local suppliers in a developing economy,Journal of International Business Studies, Vol. 46 No. 6,
pp. 656-675.
Ko, D.G., Kirsch, L.J. and King, W.R. (2005a), Antecedents of knowledge transfer from consultants to
clients in enterprise system implementations,MIS Quarterly, Vol. 29 No.1, pp. 59-85.
Ko, H., Cho, C.H. and Roberts, M.S. (2005b), Internet uses and gratications: a structural equation
model of interactive advertising,Journal of Advertising, Vol. 34 No. 2, pp. 57-70.
Kudaravalli, S., Faraj, S. and Johnson, S.L. (2017), A congural approach to coordinating expertise in
software development teams,MIS Quarterly, Vol. 41 No. 1, pp. 43-64.
Latour, B. (1996), On actor-network theory: a few clarications,Soziale Welt, Vol. 47, pp. 369-381.
Latour, B. (2005), Reassembling the Social: An Introduction to Actor-Network-Theory, Oxford University
Press, Oxford.
Antecedents of
knowledge
transfer
991
Law, J. (2008), Actor network theory and material semiotics, in Turner, B.S. (Ed.), The New Blackwell
Companion to Social Theory, Blackwell, Oxford, pp. 141-158.
Leidner, D.E. and Kayworth, T. (2006), A review of culture in information systems research:
toward a theory of information technology culture conict,MIS Quarterly, Vol. 30 No. 2,
pp. 357-399.
Leonardi, P.M. and Meyer, S.R. (2015), Social media as social lubricant: how ambient awareness eases
knowledge transfer,American Behavioral Scientist, Vol. 59 No. 1, pp. 10-34.
Levin, D.Z. and Cross, R. (2004), The strength of weak ties you can trust: the mediating role of trust in
effective knowledge transfer,Management Science, Vol. 50No. 11, pp. 1477-1490.
Li, L., Barner-Rasmussen, W. and Björkman, I. (2007), What difference does the location make? A
social capital perspective on transfer of knowledge from multinational corporation subsidiaries
located in China and Finland,Asia Pacic Business Review, Vol. 13 No. 2, pp. 233-249.
Li, J.H., Chang, X.R., Lin, L. and Ma, L.Y. (2014), Meta-analytic comparison on the inuencing factors
of knowledge transfer in different cultural contexts,Journal of Knowledge Management, Vol. 18
No. 2, pp. 278-306.
Liao, L.F. (2008), Knowledge-sharing in R&D departments: a social power and social exchange theory
perspective,The International Journal of Human Resource Management, Vol. 19 No. 10,
pp. 1881-1895.
Liao, S.H., Chen, C.C., Hu, D.C., Chung, Y.C.C. and Yang, M.J. (2017), Developing a sustainable
competitive advantage: absorptive capacity, knowledge transfer and organizational learning,
The Journal of Technology Transfer, Vol. 42 No. 6, pp. 1431-1450.
Liebowitz, J., Ayyavoo, N., Nguyen, H., Carran, D. and Simien, J. (2007), Cross-generational knowledge
ows in edge organizations,Industrial Management and Data Systems, Vol. 107 No. 8,
pp. 1123-1153.
Lin, C., Tan, B. and Chang, S. (2008), An exploratory model of knowledge ow barriers within
healthcare organizations,Information and Management, Vol. 45 No.5, pp. 331-339.
Loebbecke, C., Fenema, P.C. and Powell, P. (2016), Managing inter-organizational knowledge sharing,
The Journal of Strategic Information Systems, Vol. 25 No.1, pp. 4-14.
McDermott, R. and ODell, C. (2001), Overcoming cultural barriers to sharing knowledge,Journal of
Knowledge Management, Vol. 5 No. 1, pp. 76-85.
Malhotra, A. and Majchrzak, A. (2004), Enabling knowledge creation in far-ung teams: best practices
for IT support and knowledge sharing,Journal of Knowledge Management, Vol. 8 No. 4,
pp. 75-88.
Massaro, M., Handley, K., Bagnoli, C. and Dumay, J. (2016), Knowledge management in small and
medium enterprises: a structured literature review,Journal of Knowledge Management, Vol. 20
No. 2, pp. 258-291.
Miller, K., McAdam, R., Moffett, S., Alexander, A. and Puthusserry, P. (2016), Knowledge transfer in
university quadruple helix ecosystems: an absorptive capacity perspective,R&D Management,
Vol. 46 No. 2, pp. 383-399.
Milne, P. (2007), Motivation, incentives and organisational culture,Journal of Knowledge
Management, Vol. 11 No. 6, pp. 28-38.
Minbaeva, D.B. (2007), Knowledge transfer in multinational corporations,Management International
Review, Vol. 47 No. 4, pp. 567-593.
Minbaeva, D.B., Pedersen, T., Björkman, I. and Fey, C.F. (2014), MNC knowledge transfer, subsidiary
absorptive capacity, and HRM,Journal of International Business Studies, Vol. 45 No. 1,
pp. 52-62.
Mueller, J. (2014), A specic knowledge culture: cultural antecedents for knowledge sharing between
project teams,European Management Journal, Vol. 32 No. 2, pp. 190-202.
EBR
31,6
992
Murray, S.R. and Peyrette, J. (2007), Knowledge type and communication media choice in the
knowledge transfer process,Journal of Managerial Issues, Vol. 19 No. 1, pp. 111-133.
Muthusamy, S.K. and White, M. (2005), Learning and knowledge transfer in strategic alliances: a
social exchange view,Organization Studies, Vol. 26 No. 3, pp. 415-441.
Nakauchi, M., Washburn, M. and Klein, K. (2017), Differences between inter-and intra-group dynamics
in knowledge transfer processes,Management Decision, Vol. 55 No. 4, pp. 766-782.
Nylund, P.A. and Raelin, J.D. (2015), When feelings obscure reason: the impact of leadersexplicit and
emotional knowledge transfer on shareholder reactions,The Leadership Quarterly, Vol. 26
No. 4, pp. 532-542.
Oddou, G., Osland, J.S. and Blakeney, R.N. (2009), Repatriating knowledge: variables
inuencing the transferprocess,Journal of International Business Studies, Vol. 40 No. 2,
pp. 181-199.
Park, J.Y. and Im, K. (2007), The role of IT human capability in knowledge transfer process under IT
outsourcing situations, AMCIS 2007 Proceedings of the Americas Conference on Information
Systems (AMCIS), AIS Electronic Library (AISeL),Keystone, CO, p. 216.
Park, C., Vertinsky, I. and Becerra, M. (2015), Transfers of tacit vs. explicit knowledge and
performance in international joint ventures: the role of age,International Business Review,
Vol. 24 No. 1, pp. 89-101.
Paulin, D. and Suneson, K. (2012), Knowledge transfer, knowledge sharing and knowledge barriers
three blurry terms in KM,The Electronic Journal of Knowledge Management, Vol. 10 No. 1,
pp. 81-91.
Pee, L.G., Kankanhalli, A. and Thiagarajan, R. (2007), Knowledge transfer between external IT
consultants and business professionals in IS development-impact of social interdependence,
PACIS 2007 Proceedings, p. 30.
Peltokorpi, V. and Yamao, S. (2017), Corporate language prociency in reverse knowledge transfer: a
moderated mediation model of shared vision and communication frequency,Journal of World
Business, Vol. 52 No. 3, pp.404-416.
Pérez-Nordtvedt, L., Kedia, B.L., Datta, D.K. and Rasheed, A.A. (2008), Effectiveness and efciency of
cross-border knowledge transfer: an empirical examination,Journal of Management Studies,
Vol. 45 No. 4, pp. 714-744.
Reagans, R. and McEvily, B. (2003), Network structure and knowledge transfer: the effects of cohesion
and range,Administrative Science Quarterly, Vol. 48 No. 2, pp. 240-267.
Riege, A. (2005), Three-dozen knowledge-sharing barriers managers must consider,Journal of
Knowledge Management, Vol. 9 No. 3, pp. 18-35.
Riege, A. (2007), Actions to overcome knowledge transfer barriers in MNCs,Journal of Knowledge
Management, Vol. 11 No. 1, pp. 48-67.
Riege, A. and Zulpo, M. (2007), Knowledge transfer process cycle: between factory oor and Middle
management,Australian Journal of Management, Vol. 32 No. 2, pp. 293-314.
Ringberg, T. and Reihlen, M. (2008), Towards a socio-cognitive approach to knowledge transfer,
Journal of Management Studies, Vol. 45 No. 5, pp. 912-935.
Riusala, K. and Smale, A. (2007), Predicting stickiness factors in the international transfer of
knowledge through expatriates,International Studies of Management and Organization,
Vol. 37 No. 3, pp. 16-43.
Santhanam, R., Seligman, L. and Kang, D. (2007), Postimplementation knowledge transfers to users
and information technology professionals,Journal of Management Information Systems,
Vol. 24 No. 1, pp. 171-199.
Sharratt, M. and Usoro, A. (2003), Understanding knowledge-sharing in online communities of
practice,Electronic Journal on Knowledge Management, Vol. 1 No. 2, pp. 187-196.
Antecedents of
knowledge
transfer
993
Simonin, B.L. (1999), Ambiguity and the process of knowledge transfer in strategic alliances,
Strategic Management Journal, Vol. 20 No. 7, pp. 595-623.
Slaughter, S.A. and Kirsch, L.J. (2006), The effectiveness of knowledge transfer portfolios in
software process improvement: a eld study,Information Systems Research,Vol.17No.3,
pp. 301-320.
Song, J. (2014), Subsidiary absorptive capacity and knowledge transfer within multinational
corporations,Journal of International Business Studies, Vol. 45 No. 1, pp. 73-84.
Swanson, E.B. and Ramiller, N.C. (1993), Information systems research thematics: Submissions to a
new journal, 1987-1992,Information Systems Research, Vol. 4 No. 4, pp. 299-330.
Szulanski, G. (1996), Exploring internal stickiness: impediments to the transfer of best practice within
the rm,Strategic Management Journal, Vol. 17 No. S2, pp. 27-43.
Szulanski, G., Cappetta, R. and Jensen, R.J. (2004), When and how trustworthiness matters: knowledge
transfer and the moderating effect of causal ambiguity,Organization Science, Vol. 15 No. 5,
pp. 600-613.
Szulanski, G., Ringov, D. and Jensen, R.J. (2016), Overcoming stickiness: how the timing of
knowledge transfer methods affects transfer difculty,Organization Science, Vol. 27 No. 2,
pp. 304-322.
Tangaraja, G., Rasdi, R.M., Abu Samah, B. and Ismail, M. (2016), Knowledge sharing is knowledge
transfer: a misconception in the literature,Journal of Knowledge Management, Vol. 20 No. 4,
pp. 653-670.
Teo, T.S. and Bhattacherjee, A. (2014), Knowledge transfer and utilization in IT outsourcing
partnerships: a preliminary model of antecedents and outcomes,Information and Management,
Vol. 51 No. 2, pp. 177-186.
Tuan, L.T. (2012), Behind knowledge transfer,Management Decision, Vol. 50 No. 3, pp. 459-478.
Vaghe, I., Lapointe, L. and Shahbaznezhad, H. (2018), A multilevel process view of organizational
knowledge transfer: enablers versus barriers,Journal of Management Analytics, Vol. 5 No. 1,
pp. 1-17.
Van den Hooff, B. and Huysman, M. (2009), Managing knowledge sharing: emergent and engineering
approaches,Information and Management, Vol. 46 No. 1, pp. 1-8.
Van Wijk, R., Jansen, J.J. and Lyles, M.A. (2008), Inter-and intra-organizational knowledge transfer: a
meta-analytic review and assessment of its antecedents and consequences,Journal of
Management Studies, Vol. 45 No. 4, pp. 830-853.
Voelpel, S.C. and Han, Z. (2005), Managing knowledge sharing in China: the case of Siemens Sharenet,
Journal of Knowledge Management, Vol. 9 No. 3, pp. 51-63.
Watson, S. and Hewett, K. (2006), A multi-theoretical model of knowledge transfer in organizations:
determinants of knowledge contribution and kowledge reuse,Journal of Management Studies,
Vol. 43 No. 2, pp. 141-173.
Wehn, U. and Montalvo, C. (2018), Knowledge transfer dynamics and innovation: behaviour,
interactions and aggregated outcomes,Journal of Cleaner Production, Vol. 171, pp. S56-S68.
Wei, Y. and Miraglia, S. (2017), Organizational culture and knowledge transfer in project-based
organizations: theoretical insights from a Chinese construction rm,International Journal of
Project Management, Vol. 35 No. 4, pp. 571-585.
Whittle, A. and Spicer, A. (2008), Is actor network theory critique?,Organization Studies, Vol. 29
No. 4, pp. 611-629.
Xu, P. and Yao, Y. (2006), Knowledge transfer in system development offshore outsourcing projects,
AMCIS 2006 Proceedings, p. 379.
Xu, Q. and Ma, Q. (2008), Determinants of ERP implementation knowledge transfer,Information and
Management, Vol. 45 No. 8, pp. 528-539.
EBR
31,6
994
Yeoh, P.L. (2009), Realized and potential absorptive capacity: understanding their antecedents and
performance in the sourcing context,Journal of Marketing Theory and Practice, Vol. 17 No. 1,
pp. 21-36.
Yih-Tong Sun, P. and Scott, J.L. (2005), An investigation of barriers to knowledge transfer,Journal of
Knowledge Management, Vol. 9 No. 2, pp. 75-90.
Yu, Y., Dong, X., Zuo, M. and Xu, W. (2012), Constitutive roles of external and internal information
systems for effective interorganizational knowledge transfer: a dyadic approach,Proceeding of
PACIS 2012, p. 45.
Zaidman, N. and Brock, D.M. (2009), Knowledge transfer within multinationals and their foreign
subsidiaries: a culture-context approach,Group and Organization Management, Vol. 34 No. 3,
pp. 297-329.
Zárraga-Oberty, C.and De Saá-Pérez, P.(2006), Work teams to favor knowledge management: towards
communities of practice,European Business Review, Vol. 18 No. 1, pp. 60-76.
Zhang, Y. (2006), Knowledge sourcing: a channel preference perspective,Proceeding of AMCIS 2006,
pp. 4571-4577.
Zhao, D., Zuo, M. and Deng, X.N. (2015), Examining the factors inuencing cross-project knowledge
transfer: an empirical study of IT services rms in China,International Journal of Project
Management, Vol. 33 No. 2, pp. 325-340.
Corresponding author
Mona Rashidirad can be contacted at: M.Rashidirad@sussex.ac.uk
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... Although, various recent reviews summarize the extant literature in the area of knowledge transfer, they typically consider specific viewpoints, such as university-industry partnerships (Gerbin and Drnovsek, 2016), reverse knowledge transfer (Kogut and Mello, 2017), arts and craft industry (Manfredi et al., 2019) and the antecedents of knowledge transfer (Shahbaznezhad et al., 2019). They lack a holistic approach to understanding knowledge transfer in multinationals and pay limited attention to its impact on innovation. ...
... They lack a holistic approach to understanding knowledge transfer in multinationals and pay limited attention to its impact on innovation. Shahbaznezhad et al. (2019) studied the antecedents of knowledge transfer; although their overview is a valuable contribution to the field of knowledge transfer and innovation, a more comprehensive and systematic review is required. Despite the importance of knowledge transfer and innovation, further studies are required, particularly in the multinationals (Jim enez-Jim enez et al., 2014). ...
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Purpose Business research has highlighted the importance of knowledge transfer and innovation in multinational firms for better performance outcomes. However, the existing body of literature is characterized by differentiated theories, antecedents and outcomes. This study aims to address this gap by adopting a systematic approach to analyze knowledge transfer and innovation literature from the perspective of multinational organizations. Design/methodology/approach This study follows “preferred reporting items for systematic reviews and meta-analyses” (PRISMA) guidelines for conducting a systematic literature review. The study adopts a systematic approach for analyzing the literature using School of thought (S), Contexts (C), Methodologies (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) framework (SCM-TBFO framework) devised for holistic literature review. The study analyzes 75 articles from reputed journals from 2000 to 2022. Findings In general, knowledge transfer and innovation in multinationals is a relatively new area and is evolving rapidly. There are many opportunities to study the various perspectives that are included in the SCM-TBFO framework. The key schools of thought included the evolutionary theory of innovation, institutional theory and internationalization theory. The studies had differing settings or contexts, including China, Europe, the USA and Taiwan. Further, key methodologies that were used included regression, case studies, structural equation modeling (SEM) and theoretical studies. Knowledge transfer and innovation triggers included competitive advantage, competitive pressure, constant requirements for better products and services, foreign direct investment (FDI) and globalization. Knowledge transfer and innovation facilitators were categorized into strategy-related facilitators, organization culture and orientation-related facilitators, and resource-related facilitators. Knowledge transfer and innovation barriers included autonomy, international knowledge dispersion, risk of knowledge leakage, search breadth, ambiguity and institutional voids. Key outcomes of knowledge transfer and innovation in multinationals included financial performance, innovation performance, knowledge flow, transfer effectiveness, patents and new product development. Originality/value By synthesizing the literature, the study aims to provide an overview of the current state of research on knowledge transfer and innovation in multinationals. The study develops a holistic model for fostering knowledge transfer and innovation in multinationals. The proposed novel framework can also be applied to perform a holistic assessment of the current literature in various research domains. Further, the study suggests future theory development and research agendas. The study also provides implications for practitioners using the framework to achieve more desirable outcomes.
... In recent years, scholars have focused on the elements of KT and the corresponding transfer outcomes (Martinkenaite, 2011;Teo and Bhattacherjee, 2014). KT elements can be divided into five dimensions: The knowledge sender and receiver, the relationship between the sender and receiver, knowledge characteristics, transfer media, and transfer context, which are the decisive factors of the difficulty, quantity, and quality of KT (Shahbaznezhad et al., 2019). KT outcomes include two dimensions, namely, the amount of knowledge transferred and the extent to which the receiver applies knowledge (Martinkenaite, 2011;Teo and Bhattacherjee, 2014). ...
... Considering that the purpose of KT at different project stages is diverse and the participants involved in each phase are not the same, future studies can categorize transfer elements and outcomes into stages of the project life cycle. Moreover, KT is a complicated dynamic interactive evolution process in which related parameters are constantly changing (Martinkenaite, 2011;Shahbaznezhad et al., 2019). The use of computer simulation and artificial intelligence (AI) can contribute to exploring the transfer elements and outcomes and their relationships. ...
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A project is a specific effort to create a unique product, so it is a favorable place for knowledge creation and development. Knowledge can be transferred inside and outside projects and their parent project-based organizations, thus affecting project performance and organizational competitiveness. However, the current research on the elements and outcomes of knowledge transfer (KT) in the project environment lacks completeness and clarity, and that on the different levels of KT is fragmented. This study aims to conduct comprehensive research to determine and link the elements and outcomes of KT in the project environment. The authors systematically analyzed the relevant literature from 2000 to 2021, which showed an increasing publication trend. They divided KT in the project environment into three levels according to the transfer scenario: Intra-project, cross-project, and cross-organizational KT. Five-dimensional transfer elements and two-dimensional transfer outcomes were then identified and analyzed from previous literature. Lastly, the relationships between the transfer elements and outcomes were gathered to create a comprehensive model. Importantly, the knowledge gap in the current literature was highlighted, and future research directions were put forward. This study builds a theoretical framework linking transfer elements to outcomes that can serve as a basis for scholars and practitioners to develop effective strategies for KT in the project environment.
... Despite the growing interest in the KS discipline, the idea of knowledge sharing remains ambiguous because there is no commonly acknowledged definition of knowledge sharing [63]. Previous studies found that many researchers confuse the concepts of knowledge sharing (hereafter KS) and knowledge transfer (hereafter KT), and these terms often overlap with each other [64,65]. As [66] pointed out, these terms are still not clearly understood by most of those interested in the application of knowledge management and are often used synonymously. ...
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Purpose This study aims to adopt the microfoundation perspective to investigate undesirable knowledge rejection by individuals in organizations in the context of counterproductive knowledge behavior (CKB). The paper advances a conceptual framework of the conditions of knowledge rejection by individuals and their respective knowledge rejection behavior types. Design/methodology/approach This study reviews the limited literature on knowledge rejection and outline a set of antecedents leading to rejecting knowledge as well as a set of different types of knowledge rejection behaviors. This study reviews and synthesizes articles on knowledge rejection from a microfoundation perspective. Findings The proposed conceptual framework specifies four particular conditions for knowledge rejection and outlines four respective knowledge rejection behavior types resulting from these conditions. Recipients’ lack of capacity leads to ineptitude, lack of motivation leads to dismissal of knowledge, lack of alignment with the source leads to disruption and doubts about the validity of external knowledge lead to resistance. The authors treat these behaviors as variants of CKB, as they can hinder the productive use of knowledge resources in the organization. Research limitations/implications Further investigation of both knowledge rejection causes and the resulting knowledge rejection behaviors will ensure a more thorough grasp of the relationships between them, both in terms of the inherent nature of these relationships and their dynamics that would likely be context-sensitive. Although this study focuses only on the individual level, future studies can conduct multi-level analyses of undesirable knowledge rejection, including team and organizational levels. Practical implications Practitioners can use the framework to identify, diagnose and manage knowledge rejection more meaningfully, accurately and purposefully in their organizations. This study offers valuable insights for managers facing undesirable knowledge rejection, and provides recommendations on how to address this behavior, improves the constructive use of knowledge resources and the effectiveness of knowledge processes in their organizations. Managers should be aware of undesirable knowledge rejection, its potential cost or concealed cost to their organizations and develop strategies to reduce or prevent it. Originality/value The paper contributes toward understanding the relatively neglected topic of knowledge rejection in the knowledge management field and offers a new way of conceptualizing the phenomenon. It proposes that there are two types of knowledge rejection – undesirable and desirable – and advances a more precise and up-to-date definition of undesirable knowledge rejection. Responding to calls for more research on CKBs, the study examines a hitherto unresearched behavior of knowledge rejection and provides a foundation for further study in this area.
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Collaborative projects designed to generate research evidence involve knowledge exchange (KE) which hinges on the expectations and practices within the collaborating organisations. Existing literature about academic-police collaborations, and why they break down, has largely focused on different knowledge agendas, research timeframes and organisational cultures. In contrast, we offer a case example that attends to the failures in KE stemming from the basic logistics, legal administrative procedures, and buy-in associated with collaborative projects. These failures in KE meant our planned study involving innovative research methods to assess (de-)escalation in use-of-force incidents using policy Body Worn Video was not feasible, and required adaptation to find another source of data to successfully complete a project. This case offers many lessons learned that can inform future collaborative projects, as well as expanding upon the simplified way KE is often conceived. First, formal agreement from both organisations and the co-production of a project do not imply it is feasible. Second, KE needs to account for the socio-technical networks that are required for successful collaboration and the range of skills this requires to achieve agreed aims. Third, collaborations should recognise the multidimensionality of organisations and expand networks to optimise flexibility and adapt to change so that projects are resilient.
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Purpose This paper aims to review existing literature on the role of human resource management (HRM) practices in nurturing employee’s organisational commitment (OC), which subsequently promoting knowledge transfer (KT) within an organisation and propose a conceptual framework for future empirical research. Design/methodology/approach An extensive review of existing literature was undertaken in an attempt to build the conceptual model for KT. Findings The proposed conceptual framework illustrates the role of OC as a focal mediating mechanism in fostering KT. This paper identifies “high commitment” HRM (HCHRM) (e.g. staffing, job design, training and development, performance appraisal and reward system) as the factors influencing the development of OC, which subsequently affecting KT (i.e. knowledge sharing and application). Also, this paper integrates the potential moderating roles of leader-member exchange (LMX) between HCHRM practices-OC, as well as information and communication technology support in the OC-KT linkage into the proposed framework. Research limitations/implications This paper presents a comprehensive view of fostering KT. However, the major limitation of this paper is that it remains at a conceptual level. Further empirical investigations would be helpful to test propositions, hence validating the proposed conceptual framework. Practical implications The proposed conceptual framework could serve as practical guidance for managers and/or practitioners in developing policies that will facilitate KT in business organisations. Originality/value While KT is often viewed as a single phenomenon, this paper considers the KT into two components (i.e, sharing and application) in accordance with the practice-based perspective on knowledge and behavioural approach to KT. In addition, the adoption of the general workplace commitment model in conceptualising KT could further validate its applicability in knowledge management research. Also, the integration of LMX as a moderator in the proposed framework could contribute to the scant research on LMX-related moderation models upon validation.
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Purpose Knowledge transfer (KT) processes are important for building and sustaining competitive advantages and dynamic capabilities. Prior research often treats KT processes as a firm-level capability, assuming knowledge flows uniformly within a firm. The purpose of this paper is to examine whether such a view is too simplistic because it ignores potential differences between inter-group and intra-group KT processes within a firm. Design/methodology/approach The authors surveyed 137 software development professionals in a large Japanese electronics firm regarding co-workers who acted as critical sources of useful knowledge and the factors that affected KT within and across internal organizational boundaries. Using regression analysis, the authors test the extent to which factors such as the characteristics of the knowledge, the characteristics of the tie, and the characteristics of the network differentially affect KT within internal organizational boundaries vs across them. Findings The authors find that factors such as the accessibility of the knowledge source, network density, and collective teaching all help in transferring knowledge, while knowledge tacitness inhibit such transfers, but that the effect of these properties varies significantly depending on whether KT occurs across group boundaries. Originality/value Existing research on KT within firms tends to treat all such transfers as uniform, with little difference between the dynamics of within-group transfer and between-group transfer. This study establishes key differences in KT between and within organizational groups, demonstrating that managers need to consider internal boundaries when deploying tools and strategies for facilitating knowledge flows.
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It is often stated, that people use knowledge for their own benefit and that they share it only grudgingly. This may be partly true because our society has deep cultural traditions, which tend to discourage knowledge sharing. Even memories from school confirm the picture of knowledge as a treasury that has to be protected and hidden. During examinations the use of shared potentials is castigated as a 'crib' and as an attempt to deceive; what counts are the individually produced results. On the other hand, the necessity of sharing knowledge in a company in order to use the economic resource knowledge efficiently and effectively is said to be one of the critical success factors nowadays. Through analysis drawn from literature and from own research experiences and knowledge management projects, we discuss the various individual and social barriers that hinder people to share and transfer their knowledge. From this analysis, we can draw some suggestions how to overcome these impediments.
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