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Critical factors affecting digital transformation in manufacturing companies

Author

Listed:
  • Koteshwar Chirumalla

    (Mälardalen University)

  • Pejvak Oghazi

    (Södertörns University
    University of Vaasa
    University of Economics and Human Sciences)

  • Rosa Eluekezi Nnewuku

    (Mälardalen University)

  • Hatice Tuncay

    (Mälardalen University)

  • Nima Yahyapour

    (Södertörns University)

Abstract

Digital transformation represents a compelling opportunity for manufacturing companies to enhance their competitiveness. This transformative journey offers myriad possibilities, including improved connectivity between workers and machines, as well as seamless machine-to-machine interactions. However, many manufacturing companies encounter challenges when attempting to implement digital transformation effectively. The process of digital transformation is often slow, and most companies find themselves in the early stages of adoption, grappling with the ambiguity surrounding the associated technologies. A systematic approach for the implementation of digital transformation is still elusive for many manufacturing companies. The number of studies exploring digital transformation is increasingly growing, encompassing various sectors and domains. However, within the manufacturing sector, there remains a need for further research and clarity on systematic implementation approaches. To address these issues, this research undertakes a comprehensive analysis to identify the critical factors that influence digital transformation in the manufacturing sector. The objective of this research is to identify the factors that drive the success of digital transformation in manufacturing companies while also uncovering factors that, when neglected, could lead to failure. Through a systematic literature review, this research identifies 11 critical factors. These factors serve as the basis for developing the ARTO model, a structured framework comprising four distinct categories: "Awareness-related factors," "Readiness-related factors," "Technology Selection-related factors," and "Operations-related factors." Moreover, this research incorporates expert perspectives gathered through a survey to refine the ARTO model. This study offers the ARTO model and digital transformation definition as practical tools for successfully implementing digital transformation in manufacturing companies, while also delineating the intricate relationships among the crucial factors. By shedding light on the factors underpinning digital transformation in the manufacturing sector, this research contributes to the ongoing discourse and facilitates more effective adoption of digital transformation strategies.

Suggested Citation

  • Koteshwar Chirumalla & Pejvak Oghazi & Rosa Eluekezi Nnewuku & Hatice Tuncay & Nima Yahyapour, 2025. "Critical factors affecting digital transformation in manufacturing companies," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-52, December.
    • Handle: RePEc:spr:intemj:v:21:y:2025:i:1:d:10.1007_s11365-024-01056-3
    DOI: 10.1007/s11365-024-01056-3
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    References listed on IDEAS

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    1. Eller, Robert & Alford, Philip & Kallmünzer, Andreas & Peters, Mike, 2020. "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization," Journal of Business Research, Elsevier, vol. 112(C), pages 119-127.
    2. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
    3. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Chirumalla, Koteshwar, 2021. "Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach," Technovation, Elsevier, vol. 105(C).
    5. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    6. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    7. Yong Yin & Kathryn E. Stecke & Dongni Li, 2018. "The evolution of production systems from Industry 2.0 through Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 848-861, January.
    8. Sony, Michael & Antony, Jiju & Mc Dermott, Olivia & Garza-Reyes, Jose Arturo, 2021. "An empirical examination of benefits, challenges, and critical success factors of industry 4.0 in manufacturing and service sector," Technology in Society, Elsevier, vol. 67(C).
    9. Xin Zhang & Yaoyu Xu & Liang Ma, 2022. "Research on Successful Factors and Influencing Mechanism of the Digital Transformation in SMEs," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    10. Manjot Singh Bhatia & Saurabh Kumar, 2022. "Linking stakeholder and competitive pressure to Industry 4.0 and performance: Mediating effect of environmental commitment and green process innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 1905-1918, July.
    11. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    12. Marco Ardolino & Mario Rapaccini & Nicola Saccani & Paolo Gaiardelli & Giovanni Crespi & Carlo Ruggeri, 2018. "The role of digital technologies for the service transformation of industrial companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(6), pages 2116-2132, March.
    13. Edwin Juma Omol, 2023. "Organizational digital transformation: from evolution to future trends," Digital Transformation and Society, Emerald Group Publishing Limited, vol. 3(3), pages 240-256, December.
    14. Siavash Javadi & Koteshwar Chirumalla, 2024. "Customizing Management Strategies for Product Introduction in Low-Volume Manufacturing: Enhancing Information Content Quality," Sustainability, MDPI, vol. 16(3), pages 1-27, February.
    15. Bai, Chunguang & Sarkis, Joseph, 2013. "A grey-based DEMATEL model for evaluating business process management critical success factors," International Journal of Production Economics, Elsevier, vol. 146(1), pages 281-292.
    16. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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