Content uploaded by Varuliantor Dear
Author content
All content in this area was uploaded by Varuliantor Dear on Jan 09, 2024
Content may be subject to copyright.
Trends in IT Strategy Implementation: A Systematic Review Across Education and Industry
(2000–2022)
Varuliantor Dear1,2 , Nandang Dedi2, Annis Siradj Mardiani2, Heru Nugroho3*
1 School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung 40116, Indonesia
2 Space Research Center, National Research and Innovation Agency, Bandung 40135, Indonesia
3 School of Applied Science, Telkom University, Bandung 40257, Indonesia
Corresponding Author Email: heru@tass.telkomuniversity.ac.id
Copyright: ©2023 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license
(http://creativecommons.org/licenses/by/4.0/).
https://doi.org/10.18280/isi.280622
ABSTRACT
Received: 9 September 2023
Revised: 29 November 2023
Accepted: 5 December 2023
Available online: 23 December 2023
The rapid and global development of digital technology or digital transformation has
encouraged various business sectors to adapt to the field of information technology. The
education and industrial sectors are interrelated and need to adapt to developments in digital
technology where the eduacton sector is the supplieer of human resources and the industrial
sector is one of the purposes of the education sector. The balancing prepareness of thos both
sector on IT starategy whoulld be conducted for the optimum of busnis process otuput. One
of the indicators of the digital transformation adaptation process is the implementation of
the information technology (IT) strategy plan. In this paper, a bibliometric analysis is
carried out from database Scopus on IT strategy implementation in the industry and
education sectors published within the last two decades to get an overview of the responses
of these two sectors to the dynamics of digital transformation. Bibliometric analysis" refers
to the quantitative assessment of scholarly publications and research activities within a
specific field or discipline. The analysis is based on the papers' growth trends and the
thematic maps' evolution over each decade. The compilation comprises a total of 41 journals
and 23 proceedings. To enhance our comprehension of thematic evolution, the two articles
have been categorized into distinct decade periods: 2000–2010 and 2010–2022. The results
show that the industrial sector has more publications with an earlier productivity peak than
the education sector. The peak productivity of paper in the two sectors occurred before the
COVID-19 pandemic. The productivity rate of papers during and after the COVID-19
pandemic was at a reasonably low value, which can be interpreted as an indicator of
readiness for the pandemic events that occurred and their effects. The distribution of the
thematic maps of the two sectors is different, with the industrial sector having more
variables than the education sector. Industrial thematic objects are scattered in all quadrants,
while the education sector has been concentrated in quadrants 2 and 3 in the last decade.
The thematic objective's distribution indicates the dynamics of the challenges in
implementing the information technology strategy for both sectors over the next two
decades.
Keywords:
IT strategy, implementation, education,
industry, bibliometric
1. INTRODUCTION
Industry must overcome several technical issues to deliver
renewable energy in significant quantities. Control is one of
the key enabling technologies for the deployment of renewable
energy systems. Solar and wind power require the effective
use of advanced control techniques. In addition, smart grids
cannot be achieved without extensive use of control
technologies at all levels.
The rapid development of digital technology demands an
adaptation of digital transformation in various business sectors
[1-7]. This needs to be done to maintain the continuity of
business processes and survive the dynamics of changes that
occur. Furthermore, the COVID-19 pandemic phase, which
had an impact on drastic and global changes in various
activities, forced the adaptation process to the development of
digital technology to be carried out more quickly [8-10].
During the COVID-19 pandemic phases, all sectors were
forced to adopt digital transformation to maintain their
business process due to the limitation of physical interaction.
The education sector and the industrial sector have a
reasonably close relationship. The education sector is the
central pillar that produces the human resources that the
industrial sector needs [11]. For the education sector to
produce adequate human resources in the industrial sector,
adaptation to changes in information technology is a must,
both in business processes and in the substance of education
[12]. The inability to adapt to the developments in information
technology implies that the output products from the education
sector do not meet the qualifications needed in the industrial
sector. On the other hand, the industrial sector cannot adapt to
developments in information technology, causing business
Ingénierie des Systèmes d’Information
Vol. 28, No. 6, December, 2023, pp. 1643-1651
Journal homepage: http://iieta.org/journals/isi
1643
processes not to run correctly and implying the capability to
survive the changes that occur even though supported by
competent human resources [13-15]. Therefore, the education
and industrial sectors need to adopt digital technology
developments in line with the changes occurring to obtain
balance and synergy. Adoption of digital technology between
the two sectors or one sector will result in disharmony in the
output relations between both sectors. Therefore, information
on digital technology adaptation from the educational and
industrial sectors will be useful for evaluating current
conditions. The application of Information Technology (IT)
strategies, in education and industry is extremely important in
todays world. This is because technology is advancing rapidly
and causing changes across sectors. By understanding the
reasons and motivations behind implementing IT strategies we
can gain insights, into how these fields are evolving.
One indication of the adaptation process of information
technology development dynamics in business processes is the
implementation of an information technology (IT) strategy
[16-19]. The implementation of the information technology
strategy is a sign and direction of the process of adapting the
development of information technology systematically and
measurably. To see global trends in awareness of the industry
and education sectors, one of the analytical metrics that can be
used is to look at the productivity of publications that discuss
these topics [20]. Studying the implementation of IT strategy,
in both education and industry holds importance for reasons.
Firstly it allows researchers and professionals to understand
the approaches and potential challenges that come with
adopting IT in contexts. Secondly it provides a foundation for
creating policies and frameworks that can guide successful
integration of IT. Thirdly gaining insights into the
implementation of IT strategy contributes to building a
workforce of utilizing the advantages offered by emerging
technologies. In essence studying IT strategy in education and
industry plays a role, in shaping a future where technology
empowers us drives innovation and ensures growth in the
global knowledge economy.
The main contribution of this paper is a systematic literature
review of the implementation of information and technology
strategy in the industrial and education sectors based on the
number of publications available over the past two decades.
To the best of our knowledge, the paper that discusses the trend
of IT strategy implementation in the educational sector
together with the industrial sector using bibliometric analyses
could not be found. There are only some papers that discuss
the implementation of IT strategy partially in the educational
and industrial sectors which are also used as databases in this
study [10-15]. This study aims to determine trends in utilizing
information technology strategies, which indicate the response
of information technology development to business process
activities. Analysis was carried out using the bibliometric
method to answer the following research questions (RQ):
• RQ-1. Research trends in information technology
strategy implementation from both sectors within the
next 20 years
• RQ-2. The implementation of the information
technology strategy after the COVID-19 pandemic is
an indication of the response of the two sectors.
• RQ-3. object priority of the information technology
strategy's implementation and its evolution.
To get a comprehensive description, the structure of this
paper is written as follows: Chapter 2 briefly describes the
information technology strategy. In Chapter 3, data and
methodology are presented. In Chapter 4, the results obtained,
and their discussion are presented. In the last chapter, the
conclusions of this paper are presented.
2. INFORMATION TECHNOLOGY STRATEGY
Informa Information technology strategy is the initial step
of an organization's or company's awareness response
following the development of digital technology or digital
transformation [21-25]. The information technology strategy
aims to optimize the functions and roles of the information
technology division in the business process activities of a
company or organization. Furthermore, the information
technology strategy is also expected to provide added value
through the resulting business products. It is even likely to be
able to become the initiator of business product expansion.
Without an information technology strategy, the very rapid
adaptation of digital transformation has the potential to not be
followed correctly, so it can disrupt existing business
processes. The steps in the information technology strategy are
divided into three stages, namely:
(1) Review and evaluate the current condition of the
information technology division based on business objectives.
(2) Preparation of an information technology strategy in
accordance with business processes based on the results of the
gaps at the review stage, and
(3) Management and implementation of information
technology strategy, which is structured as a form of digital
transformation
Documents such as COBIT 5 [19] and TOGAF [21] are
available to develop an IT strategy. The document can be a
guide that can be adapted to the challenges and uniqueness of
each form of business. COBIT is a framework specifically
designed to help organizations govern and manage their
information and technology processes. In the context of IT
strategy, COBIT provides a set of guidelines and best practices
for aligning IT goals with business objectives. It ensures that
IT activities support the organization's overall strategy and that
risks are effectively managed. TOGAF is an enterprise
architecture methodology and framework used to improve
business efficiency. In the context of IT strategy, TOGAF
provides a structured approach to creating and implementing
an enterprise architecture that supports the organization's
objectives.
In education, strategy formulation extends beyond
technology adoption; it involves crafting a comprehensive
plan for integrating technology into the curriculum. This
includes defining objectives for enhancing student
engagement, improving assessment methods through
technology, and providing professional development for
educators to effectively leverage new tools. Strategies could
also focus on fostering a technology-driven learning
environment that prepares students for the digital challenges
they will face in the workforce. The strategy formulation stage
in industry involves creating a roadmap for adopting and
leveraging technology to optimize operations, improve
efficiency, and gain a competitive edge. This could include
defining how data analytics will be used to inform decision-
making in manufacturing processes or developing a
cybersecurity strategy to protect sensitive information. The
formulation process is industry-specific, considering the
unique demands and goals of the sector.
However, challenges in implementing IT strategies have
1644
also evolved along with information and communication
technology development dynamics. One indicator that can be
used to view these dynamics is the growth of papers discussing
implementing IT strategies in the public domain [20]. These
papers' development reflects how IT strategy implementation
trends are applied to various sectors. In the education sector,
effective IT strategy implementation is imperative for adapting
to the evolving landscape of learning technologies. In the
industrial sector, where technology is integral to operational
efficiency and innovation, the stages of IT strategy
implementation follow a strategic trajectory. In both education
and industry, the stages of IT strategy implementation are
tailored to the specific challenges and objectives of each sector.
Successful implementation ensures that IT initiatives not only
align with strategic goals but also contribute significantly to
the advancement and competitiveness of the respective
domains.
3. RESEARCH METHODOLOGY
The framework for the study's examination of the published
articles is shown in Figure 1, and it comprises of two stages of
work: data collecting and data analysis. Finding pertinent
articles and extracting useful data are the first steps in the
process. The gathered data is next carefully examined and
categorized in accordance with predetermined criteria. A
thorough examination of the retrieved data is then conducted
to find patterns, trends, and linkages.
Figure 1. Framework for data colleting and analysis process
3.1 Data collection
The first stage, namely data collection, was carried out
based on the keywords "information technology
implementation" and "industry" used in search queries on the
Scopus website database to obtain articles on information
technology implementation in the industrial sector.
Meanwhile, to get reports on implementing information
technology in the education sector, the keywords used are
"information technology implementation" and "education."
Keywords are based on the objectives of the study and are
taken from keywords that are widely used in previous studies.
The Scopus database contains various types of documents.
Still, in this study, the papers used are limited by the kind of
journal and proceedings used to understand the data better.
The use of the journal paper as a database is based on the peer
review process, which guarantees the data is valid. Meanwhile,
the use of the conference paper was based on the consideration
of scientific promotion phases in the academic public domain,
although without a tight peer review process as in the journal
paper. Utilizing sources beyond the two categories of
publications as databases is aimed at circumventing the
inclusion of unverified material.
The number of publications obtained for the industrial
sector consists of 28 journals and 17 proceedings. At the same
time, the number of publications obtained for the education
sector consisted of 13 journals and five proceedings. The total
of all documents is 41 journals and 23 proceedings. To
understand thematic evolution better, the two articles are
divided into two decade periods, namely the 2000–2010 and
2010–2022 groups.
3.2 Data analysis
Data analysis was performed using the Bibliometric
analysis tools provided by Aria and Cuccurullo [26].
Bibliometric is a method used to measure and evaluate
published results [27]. There are two methods of bibliometric
principles for analyzing and evaluating a research activity,
namely performance analysis and scientific mapping [28]. The
performance analysis aims to assess the research
implementing group, such as personnel, countries, agencies,
and the impact of the research activities. Meanwhile, the
scientific mapping method aims to find information precisely
from the conceptual structure of research themes [29]. In this
study, a general analysis was carried out to see the growth in
the number of publications, and the scientific mapping method
was used to see the thematic changes in the publication of
papers in the industrial and educational sectors.
4. RESULT DAN DISCUSSION
Despite occurring during the COVID-19 pandemic, the
number of publications tended to be stable and decline after
the growth peak. The results also show that the object of the
IT priority implementation strategy in the industrial sector has
more variables than the education sector. The evolution of
thematic objects from the two sectors is also different; the
industrial sector looks more dynamic than the education sector.
Figure 2 presents the number of publications with the
keywords "information technology strategy implementation"
produced in 2000–2022. The productivity rate of articles in the
industrial sector has been higher than in the education sector
since 2000. The industrial sector has experienced a significant
increase in articles from 2011 to 2015. However, publications
produced from 2015 to 2018 have a downward trend, whereas
in 2018, no publications were generated. In the early phase of
the COVID-19 pandemic in 2019, IT strategy publications in
the industrial sector remained unchanged from 2018, but in
2020, IT strategy publications began to appear and persist in
one paper per year until 2022. The trend in the number of
papers is thought to be influenced by many factors, one of
which is the readiness of the industrial sector since 2011, so
that during the pandemic period, the industrial industry was
ready and only required adjustments. In 2012, the industrial
sector can also be affected by global social issues that affect
preparation from aspects of information and communication
technology, such as the 2012 doomsday issue [30].
In the education sector, the growth rate of IT strategy
implementation publications is quite different from that in the
1645
industrial sector. From 2000 to 2016, the publications
produced had the highest score of 2 and tended to average 1
publication per year. In 2017, there was an increase in
publications, which reached three articles, but in the following
year, the value decreased again, with one publication per year.
No publications were produced during the initial period of the
COVID-19 pandemic until 2021. However, in 2022, there will
be one IT strategy publication in the education sector. The
growth trend of publications in the education sector, which
tends not to change and is at a low level, is thought to be
caused by several factors, including (i) the implementation of
the IT strategy in the education sector, which has been
prepared with the development of information and
communication technology since 2017, or (ii) the unaffected
educational business processes from the dynamics of IT
technology development. The trend in the number of
publications obtained in the past twenty years indicates that
awareness of IT strategy implementation in the two sectors has
a different period, where the industrial sector is earlier than the
education sector.
Figure 3 presents a thematic map of the IT strategy
implementation research in the Industrial sector, which can be
used to identify the priority classification of the object. The
priority object of IT strategy implementation in the industrial
sector leads to Business Analysis Activities, Data warehouse,
Information Technology, Information Services, Company and,
Budget control which in the Quadrant-1 group (Q1). In
Quadrant-2 (Q2), which is a group that has not yet been
developed but is a priority centralization, the object activities
are leading to Management information system activities,
Strategic planning, Industrial construction, Decision making,
and Human resource management. In Quadrant 3 (Q3),
namely, objects that are not a priority or principal and have
been developed consisting of electronic mail, IT strategy, and
Hardware. Several objects from the Q3 group also overlap
with the Q1 group, meaning these components have been and
are still being developed. In Quadrant 4 (Q4), which is not
major and not developed, there are components of outsourcing
and computer software.
Along with the dynamics that have occurred in 20 years, the
evolution of thematic maps can also occur. In Figure 4, a
comparison of the Thematic maps of Information Technology
Strategy implementation research in two different decades is
presented. In the first decade, from 2000 to 2010, the
components in Quadrant 1 include Information Technology
Strategy, Budget control, and Company resource planning. In
the first decade phase, there were two activity objects that
intersected between Quadrant 2 and Quadrant 3. However, in
the following decade, the subject of activity from the
intersection of the two quadrant groups evolved totally into
Quadrant 1, which means that the object becomes important
and stated as a priority objective to do. In addition to shifting
to Quadrant 1, there is also a shift in activity subject to
Quadrant 4, which means that the object is no longer needed
and is not a priority. The evolution of thematic maps over the
past two decades is an indication that there are dynamics in the
implementation of the Information Technology Strategy.
Figure 5 presents a thematic map of IT strategy
implementation research in the education sector. The main
focus and priority of the IT strategy implementation paper in
the education sector consists of information technology,
curriculum, and engineering research, which are in Quadrant
1. Meanwhile, in Quadrant 2, the activity object that is a
priority but has not yet been developed and needs to be
developed is the information system. Quadrant 3 consists of
personal objects and the Internet, which are not priorities but
have been developed. In Quadrant 4, personal training is the
object activity that does not need to be developed because it is
not the primary object. The thematic map of the education
sector looks more straightforward than that of the industrial
sector, which is thought to be caused by differences in core
business values. In the education sector, the product is to
produce human resources, so the primary focus is on the
curriculum to improve human or personnel competence. Those
primary focuses differ in the industrial sector, where the
products are in the form of goods or services and many objects
are prioritized to be developed.
Figure 2. Number of publication of implementation of IT
strategy in industrial and education sector from 2000 to 2022
Figure 3. Thematic map of implementation information and technology strategy in industrial sector
1646
Figure 4. Evolution of thematic map in indusrial sector from (a) 2000-2010 and (b) 2011-2020
Figure 6 presents a thematic map of two different time-
decade groups in the paper on the implementation of IT
strategies in the education sector. In the early decades,
research subjects were distributed in Quadrant 2 and Quadrant
3. However, the research subjects shifted in the next decade to
become part of Quadrant 1 and Quadrant 4. Subjects in
Quadrant 1 in the second decade only consisted of information
technology and curriculum that shifted from Quadrant 3.
While objects that are in Quadrant 4 in the second decade
consist of humans, which are the contents of Quadrant 2 in the
first decade. Based on this thematic evolution, the education
sector has a relatively small IT strategic priority.
Figure 7 presents an analysis of multiple correspondence
analysis (MCA) from papers on the implementation of IT
strategies in the industrial sector and the education sector.
MCA reflecting the aspect or parts that focused to be analysed
which reveal what points that focused. Comparing two eperiod
of MCA anayls will reveal the key points or concern of the
problems in IT startegy implementation in both sectors.In the
industrial sector, the MCA analysis obtained shows that there
are two main groups of keywords, namely information systems
and information services. The information system keyword
group dominates the similarity of the concepts in each paper.
Meanwhile, the "information services" keyword group was
only found in a few papers. The distribution of the similarity
of concepts based on these keywords shows that the objects in
the implementation of strategies in the industrial sector are
quite varied. MCA in the education sector shows different
results; namely, there is only a single group of related
keywords in all the papers used. The distribution of the objects
in the group is not widespread, which means that the object
variants are not sufficiently developed. The results of the
MCA analysis in the two sectors reflect how the trends in
information technology implementation have changed in the
last two decades.
1647
Figure 5. Thematic map of implementation information and technology strategy in education sector
1648
Figure 6. Evolution of thematic map in education sector for (a) 2000-2010, and (b) 2011-2022
(a)
(b)
Figure 7. MCA map for (a) Industrial and (b) Education sector
1649
5. CONCLUSIONS
A literature study on IT strategy implementation in the
education and industrial sectors based on the number of
publications could be used as an indicator of how both sectors
respond to the digital transformation. In the industrial sector,
the peak of paper growth occurred in 2012. Meanwhile, in the
education sector, 2017 The number of publications after the
growth peak tended to be stable and decreased, even though it
was during the COVID-19 pandemic. The growth trend in the
number of publications reflects that both sectors responded to
the dynamics of information technology before the pandemic.
The results also show that the object of the IT priority
implementation strategy in the industrial sector has more
variables than the education sector. The evolution of thematic
objects from the two sectors is also different; the industrial
sector looks more dynamic than the education sector. This
information generally indicates how the education and
industrial sectors respond to digital transformation in business
processes.
REFERENCES
[1] Reis, J., Amorim, M., Melão, N., Matos, P. (2018).
Digital transformation: A literature review and
guidelines for future research. Trends and Advances in
Information Systems and Technologies, 16: 411-421.
https://doi.org/10.1007/978-3-319-77703-0_41
[2] O'Leary, T., Armfield, T. (2020). Adapting to the digital
transformation. Alberta Law Review, 58(2): 249–272.
[3] Hansen, A.M., Kraemmergaard, P., Mathiassen, L.
(2011). Rapid adaptation in digital transformation: A
participatory process for engaging IS and business
leaders. MIS Quarterly Executive, 10(4).
[4] Verhoef, P.C., Broekhuizen, T., Bart, Y., Bhattacharya,
A., Dong, J.Q., Fabian, N., Haenlein, M. (2021). Digital
transformation: A multidisciplinary reflection and
research agenda. Journal of Business Research, 122: 889-
901. https://doi.org/10.1016/j.jbusres.2019.09.022
[5] Lee, C.H., Wang, D., Lyu, S., Evans, R.D., Li, L. (2023).
A digital transformation-enabled framework and
strategies for public health risk response and governance:
China's experience. Industrial Management & Data
Systems, 123(1): 133-154.
https://doi.org/10.1108/IMDS-01-2022-0008
[6] Jouanjean, M.A., Casalini, F., Wiseman, L., Gray, E.
(2020). Issues around data governance in the digital
transformation of agriculture: The farmers’ perspective.
Food, Agriculture and Fisheries Papers, OECD
Publishing, 146. https://doi.org/10.1787/53ecf2ab-en
[7] Mykhailiuk, G., Rustamzade, A., Bakhishov, A. (2021).
Digitalization of financial services and challenges of
adaptation of control. Financial and Credit Activity
Problems of Theory and Practice, 3(38): 46–55.
https://doi.org/10.18371/fcaptp.v3i38.237418
[8] Hai, T.N., Van, Q.N., Thi Tuyet, M.N. (2021). Digital
transformation: Opportunities and challenges for leaders
in the emerging countries in response to COVID-19
pandemic. Emerging Science Journal, 5(1): 21-36.
https://doi.org/10.28991/esj-2021-SPER-03
[9] Datta, P., Nwankpa, J.K. (2021). Digital transformation
and the COVID-19 crisis continuity planning. Journal of
Information Technology Teaching Cases, 11(2): 81-89.
https://doi.org/10.1177/2043886921994821
[10] António, N., Rita, P. (2021). COVID-19: The catalyst for
digital transformation in the hospitality industry?.
Tourism & Management Studies, 17(2): 41-46.
https://doi.org/10.18089/tms.2021.170204
[11] Dito, S.B., Pujiastuti, H. (2021). Dampak revolusi
industri 4.0 pada sektor pendidikan: Kajian literatur
mengenai digital learning pada pendidikan dasar dan
menengah. Jurnal Sains Dan Edukasi Sains, 4(2): 59-65.
https://doi.org/10.24246/juses.v4i2p59-65
[12] Liu, M., Zha, S., He, W. (2019). Digital transformation
challenges: A case study regarding the MOOC
development and operations at higher education
institutions in China. TechTrends, 63: 621-630.
https://doi.org/10.1007/s11528-019-00409-y
[13] Ebert, C., Duarte, C.H.C. (2016). Requirements
engineering for the digital transformation: Industry panel.
In 2016 IEEE 24th International Requirements
Engineering Conference (RE), Beijing, China, pp. 4-5.
https://doi.org/10.1109/RE.2016.21
[14] Berger, R. (2015). The digital transformation of industry.
The study commissioned by the Federation of German
Industries (BDI), Munich.
www.rolandberger.com/publications/publication_pdf/ro
land_berger_digital_transformation_of
_industry_20150315. pdf
[15] Nicolás-Agustín, Á., Jiménez-Jiménez, D., Maeso-
Fernandez, F. (2022). The role of human resource
practices in the implementation of digital transformation.
International Journal of Manpower, 43(2): 395-410.
https://doi.org/10.1108/IJM-03-2021-0176
[16] Shaughnessy, H. (2018). Creating digital transformation:
Strategies and steps. Strategy & Leadership, 46(2): 19-
25. https://doi.org/10.1108/SL-12-2017-0126
[17] Matt, C., Hess, T., Benlian, A. (2015). Digital
transformation strategies. Business & Information
Systems Engineering, 57: 339-343.
https://doi.org/10.1007/s12599-015-0401-5
[18] Hess, T., Matt, C., Benlian, A., Wiesböck, F. (2016).
Options for formulating a digital transformation strategy.
MIS Quarterly Executive, 15(2): 123-139.
[19] Hardy, G. (2006). Using IT governance and COBIT to
deliver value with IT and respond to legal, regulatory and
compliance challenges. Information Security Technical
Report, 11(1): 55-61.
https://doi.org/10.1016/j.istr.2005.12.004
[20] Yerina, A., Honchar, I., Zaiets, S. (2021). Statistical
indicators of cybersecurity development in the context of
digital transformation of economy and society. Science
and Innovation, 17(3): 3-13. https:// doi.org/10.15407/sci
ne17.03.003
[21] Smith, H.A., McKeen, J.D., Singh, S. (2007).
Developing information technology strategy for business
value. Journal of Information Technology Management,
18(1): 49-58.
[22] Ziyadin, S., Suieubayeva, S., Utegenova, A. (2020).
Digital Transformation in Bussiness. In International
Scientific Conference “Digital Transformation of the
Economy: Challenges, Trends, New Opportunities,”
Springer, pp. 408–415. https://doi.org/10.1007/978-3-
030-27015-5_49
[23] Soh, C., Yeow, A., Goh, Q., Hansen, R. (2019). Digital
transformation: Of paradoxical tensions and managerial
responses. In 40th International Conference on
1650
Information Systems, ICIS 2019.
[24] Nandico, O.F. (2016). A framework to support digital
transformation. Emerging Trends in the evolution of
service-oriented and enterprise architectures, 113-138.
https://doi.org/10.1007/978-3-319-40564-3_7
[25] Brunetti, F., Matt, D.T., Bonfanti, A., De Longhi, A.,
Pedrini, G., Orzes, G. (2020). Digital transformation
challenges: Strategies emerging from a multi-stakeholder
approach. The TQM Journal, 32(4): 697-724.
https://doi.org/10.1108/TQM-12-2019-0309
[26] Aria, M., Cuccurullo, C. (2017). Bibliometrix: An R-tool
for comprehensive science mapping analysis. Journal of
informetrics, 11(4): 959-975.
https://doi.org/10.1016/j.joi.2017.08.007
[27] Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E.,
Herrera, F. (2011). An approach for detecting,
quantifying, and visualizing the evolution of a research
field: A practical application to the Fuzzy Sets Theory
field. Journal of Informetrics, 5(1): 146-166.
https://doi.org/10.1016/j.joi.2010.10.002
[28] Derviş, H. (2019). Bibliometric analysis using
bibliometrix an R package. Journal of Scientometric
Research, 8(3): 156-160.
https://doi.org/10.5530/JSCIRES.8.3.32
[29] Gutiérrez-Salcedo, M., Martínez, M.Á., Moral-Munoz,
J.A., Herrera-Viedma, E., Cobo, M.J. (2018). Some
bibliometric procedures for analyzing and evaluating
research fields. Applied Intelligence, 48: 1275-1287.
https://doi.org/10.1007/s10489-017-1105-y
[30] Talib, M., Mogotlhwane, T.M. (2011). Global failure of
ICT due to solar storm: A worst case scenario ahead.
Procedia Environmental Sciences, 8: 371-374.
https://doi.org/10.1016/j.proenv.2011.10.058
1651