How Industry 4.0 supports the strategic agility of companies. A systematic literature review

• Authors: Maja Sajdak , Michał Młody , Adam Weinert , Łukasz Wójtowicz

Abstracts

EN

The aim of the article is to identify and assess the state of knowledge in the field of using and supporting Industry 4.0 technologies for the development of companies' strategic agility. In particular, it is of keen interest how the individual Industry 4.0 technologies selected by the authors support the attributes that contribute to strategic agility. The article uses a systematic literature review (SLR), and strives in a rigorous and reliable manner to organize knowledge of the use of Industry 4.0 technology in the development of strategic agility. The systematic review research procedure consists of a five-stage approach, including: formulation of the research questions and determination of the research objective, selection of the literature sample, evaluation of the identified papers, data analysis and synthesis, and reporting on the results. The applied research method allowed for synthesis and consolidation of the existing scientific achievements in the field of supporting Industry 4.0 technologies in the development of strategic agility in companies, as well as indication of the most desirable directions for further research. Simultaneously, the research results allowed a reasonable context for future research to be defined. The literature clearly indicates a scarcity of papers in the field of linking Industry 4.0 with the agility of companies, as well as a lack of information on the state of research in this area, both in theoretical and empirical terms. There is a noticeable shortage of studies identifying which Industry 4.0 technologies support the development of strategic agility, to what extent and in what aspects.

Keywords

EN

Industry 4.0; new technologies; strategic agility; systematic literature review

• Publisher: Instytut Naukowo-Wydawniczy "SPATIUM"
• Journal: Central European Review of Economics & Finance
• Year: 2022
• Volume: 41
• Issue: 6
• Pages: 27-57

Dates

published

2022

Contributors

author

Maja Sajdak

• Poznań University of Economics and Business

author

Michał Młody

• Poznań University of Economics and Business

author

Adam Weinert

• Poznań University of Economics and Business

author

Łukasz Wójtowicz

• Kazimierz Pulaski University of Technology and Humanities in Radom

References

• Akkaya, B. (2020). Agile Business Leadership Methods for Industry 4.0, Emerald Publishing Limited.
• Anello C., Fleiss J. L. (1995), Exploratory or analytic meta-analysis: Should we distinguish between them?, Journal of Clinical Epidemiology, 48(1), pp. 109-116.
• Arthur B.W. (2009), The nature of technology: What it is and how it evolves, Free Press, New York.
• Ballestar M.T., Díaz-Chao A., Sainz J., Torrent-Sellens J., (2020), Knowledge, robots and productivity in SMEs: Explaining the second digital wave, Journal of Business Research, 108, pp. 119-131
• Banalieva, E.R., Dhanaraj, C. (2019), Internalization theory for the digital economy, Journal of International Business Studies, 50, pp. 1372-1387.
• Booth A., Papaioannou D., Sutton A. (2012), A Systematic Approach to a Successful Literature Review, Los Angeles: SAGE Publications.
• Candi M., Beltagui A. (2020), Effective use of 3D printing in the innovation process, Technovation, 80-81, pp. 63-73.
• Caputo F., Cillo V., Candelo E., Liu Y. (2019), Innovating through digital revolution. The role of soft skills and Big Data in increasing firm performance, Management Decision, 57(8), pp. 2032-205.
• Cenamor J., Parida V., Wincentd J. (2019], How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity, Journal of Business Research, 100, pp. 196-206.
• Chan, A. T. L., Ngai E. W. T., Moon K. K. L. (2017), The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry, European Journal of Operational Research, 259(2), pp. 486-489.
• Chierici R., Mazzucchelli A., Garcia-Perez A., Vrontis D. (2019), Transforming big data into knowledge: the role of knowledge management practice, Management Decision, 57(8), pp. 1902-1922.
• Chiva R., Alegre, J., Lapiedra R. (2007), Measuring organizational learning capability among the workforce, International Journal of Manpower, 28(3/4), pp. 224-242.
• Corte-Reala N., Ruivoa P., Oliveiraa T., Popovič A. (2019), Unlocking the drivers of big data analytics value in firms, Journal of Business Research, 97, pp. 160-173.
• Cram, W. A., & Marabelli, M. (2018), Have your cake and eat it too? Simultaneously pursuing the knowledge-sharing benefits of agile and traditional development approaches, Information & Management, 55(3), pp. 322-339.
• Crittendena V.L., Crittendenb W.F. , Ajjan H. (2019), Empowering women micro-entrepreneurs in emerging economies: The role of information communications technology, Journal of Business Research, 98, pp. 191-203.
• Crocitto M. (2003), The human side of organizational agility, Industrial Management and Data Systems, 103(6), pp. 388-397.
• Crossan M., Vera D., Nanjad, L. (2008), Transcendent leadership: Strategic leadership in dynamic environments, The Leadership Quarterly, 19, pp. 569-581.
• Czakon W. (2011), Metodyka systematycznego przeglądu literatury, Przegląd organizacji, 3(854), pp. 57-61.
• Di Vaio Assunta, Rosa Palladino, Rohail Hassan, Octavio Escobar, Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review, Journal of Business Research, Volume 121, December 2020, Pages 283-314
• Doz Y. (2020), Fostering strategic agility: How individual executives and human resource practices contribute, Human Resource Management Review, Elsevier, 30(1).
• Doz, Y. L. and Kosonen, M. (2008), Fast Strategy. How strategic agility will help you stay ahead of the game, London: Wharton School Publishing.
• Dubey R., Gunasekaran A., Childe S. J. (2019), Big data analytics capability in supply chain agility. The moderating effect of organizational flexibility, Management Desicion, 57(8), pp. 2092-2112.
• Faruquee, M., Paulraj, A. and Irawan, C.A. (2021), Strategic supplier relationships and supply chain resilience: Is digital transformation that precludes trust beneficial?, International Journal of Operations & Production Management, 41(7), pp. 1192-1219.
• Ferraris A., Mazzoleni A., Devalle A., Couturier J. (2019), Big data analytics capabilities and knowledge management: impact on firm performance, Management Decision, 57(8), pp. 1923-1936.
• Fiorini P.D.C., Jabbour Ch., Ch. J., Jabbour A.B., Stefanelli O.N., Fernando Y. (2019), Interplay between information systems and environmental management in ISO 14001-certified companies. Implications for future research on big data, Management Decision, 57(8), pp.1883-1901.
• Fisch, Christian and Joern Block, (2018), Six tips for your (systematic) literature review in business and management research, Management Review Quarterly, 68, (2), 103-106
• Fosso Wamba S., Akter S., Trinchera L., De Bourmont M. (2019), Turning information quality into firm performance in the big data economy, Management Decision, 57(8), pp. 1756-1783.
• Frank Alejandro G., Glauco H.S. Mendes, Néstor F. Ayala, Antonio Ghezzi (2019), Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective, Technological Forecasting and Social Change, 141, pp. 341-351.
• Galindo-Martín M.A., Castano-Martínez M.S., Méndez-Picazo M.T. (2019), Digital transformation, digital dividends and entrepreneurship: A quantitative analysis, Journal of Business Research, 101, pp. 522-527.
• Gebauer Heiko, Alexander Arzt, Marko Kohtamäki, Claudio Lamprecht, Vinit Parida, Lars Witell, Felix Wortmann (2020), How to convert digital offerings into revenue enhancement - Conceptualizing business model dynamics through explorative case studies, Industrial Marketing Management, 91, pp. 429-441.
• Ghasemaghaei M., Calic G. (2020), Assessing the impact of big data on firm innovation performance: Big data is not always better data, Journal of Business Research, 108, pp. 147-162.
• Ghasemaghaei M., Calic G. (2019), Does big data enhance firm innovation competency? The mediating role of data-driven insights, Journal of Business Research, 104, pp. 69-84.
• Ghobakhloo M. (2018), The future of manufacturing industry: a strategic roadmap toward Industry 4.0, Journal of Manufacturing Technology Management, 29(6), pp. 910-936.
• Gotz M. (2019), The Industry 4.0 Induced Agility and New Skills in Clusters, Foresight and STI Governance, 13(2), pp. 72-83.
• Gupta S, Qian X., Bhushan B., Luo Z. (2019), Role of cloud ERP and big data on firm performance: a dynamic capability view theory perspective, Management Decision, 57(8), pp.1857-1882.
• Gupta Shivam, Vinayak A. Drave, Yogesh K. Dwivedi, Abdullah M. Baabdullah, Elvira Ismagilova, (2020), Achieving superior organizational performance via big data predictive analytics: A dynamic capability view, Industrial Marketing Management, 90, pp. 581-592.
• Henke N., Willmott P. (2008), Digital trends and observations from Davos, McKinsey Digital 2018, https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/digital-blog/trends-and-observations-from-davos-2018
• Hohn, M.M. and Durach, C.F. (2021), Additive manufacturing in the apparel supply chain - impact on supply chain governance and social sustainability, International Journal of Operations & Production Management, 41(7), pp. 1035-1059.
• Holbeche L. S. (2018), Organisational effectiveness and agility, Journal of Organizational Effectiveness, 5(4), pp. 302-313.
• Huang Y. Y., Li, S. J. (2009), Tracking the evolution of research issues on agility, Asia Pacific Management Review, 14(1), pp. 107-129.
• Ireland, R. D., Hitt, M. A. (2005), Achieving and maintaining strategic competitiveness in the 21st century: The role of strategic leadership, Academy of Management Executive, 19(4), pp. 63-77.
• Ivory S. B., Brooks, S. B. (2018), Managing Corporate Sustainability with a Paradoxical Lens: Lessons from Strategic Agility, Journal of Business Ethics, Springer Netherlands, 148(2), pp. 347-361.
• Jambulingam T., Kathuria R., Doucette W. (2005), Entrepreneurial orientation as a basis for classificatio within a service industry: the case of retail pharmacy industry, Journal of Operations Management, 23, pp. 23-42.
• Jesse N. Organizational Evolution - How Digital Disruption Enforces Organizational Agility, IFAC-Papers, Volume 51, Issue 30, 2018, pp. 486-491, https://doi.org/10.1
• Jovanovic B., Rousseau P.L. (2005), General Purpose Technologies, [in:] Handbook of Economic Growth, P. Aghion, S. Durlauf, t. 1, Elsevier (eds.), Amsterdam, pp. 1181-1224.
• Karamchandani, A., Srivastava, S. K., & Srivastava, R. K. (2020), Perception-based model for analyzing the impact of enterprise blockchain adoption on SCM in the Indian service industry, International Journal of Information Management, 52,
• Kashav Shashi, Piera Centobelli, Roberto Cerchione, Myriam Ertz (2020), Agile supply chain management: where did it come from and where will it go in the era of digital transformation?, Industrial Marketing Management, 90, pp. 324-345.
• Kearney, 2020, The State of Industry 4.0, https://www.kearney.com/operations-performance-transformation/article/?/a/the-state-of-industry-4.0-article
• Keller, J., Burkhardt, P. and Lasch, R. (2021), Informal governance in the digital transformation, International Journal of Operations & Production Management, 41(7), pp. 1060-1084.
• Klimas P., Stańczyk S., Sachpazidu-Wójcicka K. (2020), Metodyka systematycznego przeglądu literatury-wyzwania selekcji a posteriori podczas tworzenia bazy literatury, [in:] A. Sopińska i A. Modliński (eds.), Współczesne zarządzanie - koncepcje i wyzwania, pp. 39-52.
• Kraus S., Kauranen I.,Reschke C. H. (2011), Identification of domains for a new conceptual model of strategic entrepreneurship using the configuration approach, Management Research Review, 34(1), pp. 58-74.
• Leminen S., Rajahonka M., Wendelin R., Westerlund M. (2020), Industrial internet of things business models in the machine-to-machine context, Industrial Marketing Management, 84, pp. 298-311.
• Lin D., Lee C.K.M., Lau H., Yang Y. (2018), Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industry, Industrial Management & Data Systems, 118(3), pp. 589-605.
• Liu S., Chan F.T.S., Yang Y., Niu B., (2018), Understanding the effect of cloud computing on organizational agility: An empirical examination, International Journal of Information Management, 43(July), pp. 98-111.
• Lorentz, H., Aminoff, A., Kaipia, R. and Srai, J.S. (2021), Structuring the phenomenon of procurement digitalisation: contexts, interventions and mechanisms, International Journal of Operations & Production Management, 41(2), pp. 157-192.
• Lu, Y. and Ramamurthy, K. (2011) Understanding the Link between Information Technology Capability and Organizational Agility: An Empirical Examination. MIS Quarterly, 35, 931-954. https://doi.org/10.2307/41409967
• Makarius E., Mukherjee D., Fox J., Fox A. (2020), Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization, Journal of Business Research, 120, pp. 262-273.
• Mariani M., Fosso Wamba S. (2020), Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies, Journal of Business Research, 121, pp. 338-352.
• Maskell, B. (2001), Insight from industry The age of agile manufacturing, Supply Chain Management: An International Journal, 6(1), pp. 5-11.
• Mavengere, N. B. (2013), Strategic agility and the role of information systems in supply chain: Telecommunication industry study, 7th European Conference on Information Management and Evaluation, ECIME 2013, 16(4), pp. 229-238.
• McKnight D. Harrison, Liu Peng & Brian T. Pentland (2020) Trust Change in Information Technology Products, Journal of Management Information Systems, 37:4, 1015-1046, DOI: 10.1080/07421222.2020.1831772
• Merendino A., Dibba S., Meadows M., Quinn L., Wilson D., Simkin L., Canhoto A. (2018), Big data, big decisions: The impact of big data on board level decisionmaking, Journal of Business Research, 93, pp. 67-78.
• Mikalef P., Bourab M., Lekakosb G., Krogstiea J. (2019), Big data analytics and firm performance: Findings from a mixed-method approach, Journal of Business Research, 98, pp. 261-276.
• Młody, M., Weinert, A. (2020). Industry 4.0 in Poland: A Systematic Literature Review and Future Research Directions. In: Zakrzewska-Bielawska, A., Staniec, I. (eds) Contemporary Challenges in Cooperation and Coopetition in the Age of Industry 4.0. Springer Proceedings in Business and Economics. Springer, Cham.
• Mrugalska, B., & Ahmed, J. (2021), Organizational Agility in Industry 4.0: A Systematic Literature Review, Sustainability, 13(15).
• Okoli C. (2015), A guide to conducting a standalone systematic literature review, Communications of the Association for Information Systems, 37(1), pp. 879-910.
• Pejic-Bach, M., Bertoncel, T., Meško, M., & Krstić, Ž. (2020), Text mining of industry 4.0 job advertisements, International journal of information management, 50, pp. 416-431.
• Peppard J. (2018), Rethinking the concept of the IS organization, Information Systems Journal, 28(1), pp. 76-103.
• Pham, T.T.; Kuo, T.-C.; Tseng, M.-L.; Tan, R.R.; Tan, K.; Ika, D.S.; Lin, C.J. Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing. Sustainability 2019, 11, 6661. https://doi.org/10.3390/su11236661
• Piccarozzi, M.; Aquilani, B.; Gatti, C. Industry 4.0 in Management Studies: A Systematic Literature Review. Sustainability 2018, 10, 3821. https://doi.org/10.3390/su10103821
• Ping, T. A. et al. (2018), The Impact of Information Technology Capability , Business Intelligence Use and Collaboration Capability on Organizational Performance among Public Listed Companies in Malaysia, Global Business and Management Research: An International Journal, 10(1), pp. 293-313.
• Rajput S, Prakash Singh S. (2018), Identifying Industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach, Management Decision, 57(8), pp.1784-1817.
• Rajput, S., & Singh, S. P. (2019), Connecting circular economy and industry 4.0. International Journal of Information Management, 49, pp. 98-113.
• Ravichandran, T. (2018), Exploring the relationships between IT competence, innovation capacity and organizational agility, Journal of Strategic Information Systems, 27(1).
• Roßmann, B., Canzaniello, A., Gracht, H.A., & Hartmann, E. (2017), The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study. Technological Forecasting and Social Change, 130, pp.135-149.
• Sajdak M. (2019a), Enterprises' Sensitivity to the Environment from the Perspective of Competitive Advantage - Research Results, Management Issues, 17(2), pp. 252-269.
• Sajdak M. (2019b), Zwinność strategiczna przedsiębiorstw. Poznań: Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu.
• Schirrmacher, A.K., Schoop, M., (2018). Agility in Information Systems - A Literature Review on Terms and Definitions UK Academy for Information Systems Conference Proceedings 2018. 25.
• Schwab K. (2016), The Fourth Industrial Revolution, World Economic Forum, Geneva.
• Sestino A., Prete M.I., Piper L., Guido G. (2020), Internet of Things and Big Data as enablers for business digitalization strategies, Technovation, Vol. 98.
• Seyedghorban, Z., Samson, D. and Tahernejad, H. (2020), Digitalization opportunities for the procurement function: pathways to maturity, International Journal of Operations & Production Management,. 40(11), pp. 1685-1693.
• Shastri L. Nimmagadda S.L., Reinersa T. , Woo L.C. (2018), On big data-guided upstream business research and its knowledge management, Journal of Business Research, 89, pp.143-158.
• Śledziewska K, Włoch R. (2020), Gospodarka cyfrowa. Jak nowe technologie zmieniają świat, Wydawnictwa Uniwersytetu Warszawskiego, Warszawa.
• Sony M., Naik S. (2020) Critical factors for the successfulimplementation of Industry 4.0: a review and future research direction, Production Planning &Control, 31:10, 799-815, DOI: 10.1080/09537287.2019.1691278
• Tallon P.P., Queiroz M., Coltman T., Sharma R. (2019), Information technology and the search for organizational agility: A systematic review with future research possibilities, Journal of Strategic Information Systems, 28(2), pp. 218-23.
• Tallon, P.P., Pinsonneault A. (2011), Competing Perspectives on the Link Between Strategic Information Technology Alignment and Organizational Agility: Insights from a Mediation Model Competing Perspectives on the Link Between Strategic Information Technology Alignment and Organizational Agility, 35(2), pp. 463-486.
• Tortorella, G.L., Giglio, R. and van Dun, D.H. (2019), Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement, International Journal of Operations & Production Management, 39(6/7/8), pp. 860-886.
• Tranfield, D., Denyer, D. and Smart, P. (2003), Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review, British Journal of Management, 14(3), pp. 207-222.
• Tumbas, S., Berente, N., & Brocke, J. V. (2018), Digital innovation and institutional entrepreneurship: Chief Digital Officer perspectives of their emerging role, Journal of Information Technology, 33(3), pp. 188-202.
• Van Rijmenam M, Erekhinskaya T., Schweitzer J., Williams M.A. (2019), Avoid being the Turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty, Long Range Planning, 52.
• Vaazquez-Bustelo, D., Avella, L. and Fernandez, E. (2007), Agility drivers, enablers and outcomes Empirical test of an integrated agile, 27(12), pp. 1303-1332.
• Wagner, E. L., Newell, S., Ramiller, N., & Enders, J. (2018), From public ideology to socio-material reproduction of agile principles: The case of pivotal labs. Information and Organization, 28(4), pp. 192-210.
• WEF (2020), The Future of Jobs Report 2020, Insight report (World Economic Forum), Geneva 2020, https://www.weforum.org/reports/the-future-of-jobs-report-2020
• Xiong, Y., Xia, S. and Wang, X. (2020), Artificial intelligence and business applications, an introduction, Int. J. Technology Management, 84(1/2), pp.1-7.
• Yan Jie (Kevin), Dorothy E. Leidner & Hind Benbya (2018), Differential Innovativeness Outcomes of User and Employee Participation in an Online User Innovation Community, Journal of Management Information Systems, 35(3), pp. 900-933.
• Yasmin M., Tatoglu E., Kilic H.S., Zaim S., Delen D. (2020) Big data analytics capabilities and firm performance: An integrated MCDM approach, Journal of Business Research, 114, pp. 1-15.
• Yousuf, A. et al. (2019) The Effect of Operational Flexibility on Performance: A Field Study on Small and Medium-sized Industrial Companies in Jordan, Montenegrin Journal of Economics, 15(1), pp. 47-60.
• Yu, W., Chavez, R., Jacobs, M., Wong, C.Y. and Yuan, C. (2019), Environmental scanning, supply chain integration, responsiveness, and operational performance: An integrative framework from an organizational information processing theory perspective, International Journal of Operations & Production Management, 39(5), pp. 787-
• Yunis M., Tarhini A., Kassar A. (2018), The role of ICT and innovation in enhancing organizational performance: The catalysing effect of corporate entrepreneurship, Journal of Business Reserach, 88, pp. 344-356.
• Zaitsev, A., Gal, U., & Tan, B. (2020), Coordination artifacts in agile software development. Information and Organization, 30(2).
• Zeng J., Khan Z. (2019), Value creation through big data in emerging economies The role of resource orchestration and entrepreneurial orientation, Management Decision, 57(8), pp.1818-1838.
• Zhang, Z. and Sharifi, H. (2000), A methodology for achieving agility in manufacturing organisations, International Journal of Operations and Production Management, 20(4), pp. 496-513.
• Zhanga M., Hartley J.L. (2018), Guanxi, IT systems, and innovation capability: The moderating role of proactiveness, Journal of Business Research, 90, pp. 75-86.
• Zhao Xia, Jing Tian & Ling Xue (2020), Herding and Software Adoption: A Re-Examination Based on Post-Adoption Software Discontinuance, Journal of Management Information Systems, 37:2, pp. 484-509.
• Zhou, J., Bi, G., Liu, H., Fang, Y., & Hua, Z. (2018), Understanding employee competence, operational IS alignment, and organizational agility-An ambidexterity perspective. Information & Management, 55(6), pp. 695-708.
• Zumsteg J. M., Cooper J. S., Noon, M. S. (2012), Systematic Review Checklist: A Standardized Technique for Assessing and Reporting Reviews of Life Cycle Assessment Data, Journal of Industrial Ecology, 16(SUPPL.1).

Identifiers

DOI

10.24136/ceref.2022.022

Biblioteka Nauki

16729740