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Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature

Author

Listed:
  • Nicola Bellantuono

    (Department of Agriculture, Food, Natural Resources and Engineering, University of Foggia, Via Napoli 25, 71121 Foggia, FG, Italy)

  • Angela Nuzzi

    (Politecnico di Bari, Department of Mechanics, Mathematics & Management, Via Orabona 4, 70126 Bari, BA, Italy)

  • Pierpaolo Pontrandolfo

    (Politecnico di Bari, Department of Mechanics, Mathematics & Management, Via Orabona 4, 70126 Bari, BA, Italy)

  • Barbara Scozzi

    (Politecnico di Bari, Department of Mechanics, Mathematics & Management, Via Orabona 4, 70126 Bari, BA, Italy)

Abstract

The growing diffusion of digital technologies, especially in production systems, is leading to a new industrial paradigm, named Industry 4.0 (I4.0), which involves disruptive changes in the way companies organize production and create value. Organizations willing to seize the opportunities of I4.0 must thus innovate their processes and business models. The challenges that companies must face for the transition towards I4.0 paradigm are not trivial. Several digital transformation models and roadmaps have been lately proposed in the literature to support companies in such a transition. The literature on change management stresses that about 70% of change initiatives—independently of the aim—fail to achieve their goals due to the implementation of transformation programs that are affected by well-known mistakes or neglect some relevant aspects, such as lack of management support, lack of clearly defined and achievable objectives and poor communication. This paper investigates whether and to what extent the existing digital transformation models (DTMs) and roadmaps for I4.0 transition consider the lessons learnt in the field of change management. To this aim, a Systematic Literature Review to identify existing models and roadmaps is carried out. The results obtained by the review are discussed under the lens of the change-management literature. Based on that, the shortcomings and weaknesses of existing DTMs are pinpointed. Extant DTMs mainly focus on digital transformation initiatives carried out in manufacturing companies; they do not cover all the phases of the digital transformation process but rather focus on the definition of the I4.0 vision, strategy and roadmap. Little attention is devoted to the implementation and consolidation of digital change. Change management lessons are considered to a limited extent, based on which, some suggestions for better dealing with digital transformation initiatives are discussed. The paper contributes to advancing knowledge on models and approaches to support organizations in managing digital transformation. The identification of change management activities that a digital transformation initiative should involve as well as the suggestions on how to effectively deal with it can be used by managers to successfully lead the I4.0 transition journey in their organizations.

Suggested Citation

  • Nicola Bellantuono & Angela Nuzzi & Pierpaolo Pontrandolfo & Barbara Scozzi, 2021. "Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature," Sustainability, MDPI, vol. 13(23), pages 1-40, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:12941-:d:685556
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    References listed on IDEAS

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    1. Dinara Dikhanbayeva & Sabit Shaikholla & Zhanybek Suleiman & Ali Turkyilmaz, 2020. "Assessment of Industry 4.0 Maturity Models by Design Principles," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    2. Daniel Schallmo & Christopher A. Williams & Luke Boardman, 2017. "Digital Transformation Of Business Models — Best Practice, Enablers, And Roadmap," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-17, December.
    3. Erwin Rauch & Marco Unterhofer & Rafael A. Rojas & Luca Gualtieri & Manuel Woschank & Dominik T. Matt, 2020. "A Maturity Level-Based Assessment Tool to Enhance the Implementation of Industry 4.0 in Small and Medium-Sized Enterprises," Sustainability, MDPI, vol. 12(9), pages 1-18, April.
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    1. Saihi, Afef & Ben-Daya, Mohamed & As'ad, Rami, 2023. "Underpinning success factors of maintenance digital transformation: A hybrid reactive Delphi approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Giovanna Morelli & Cosimo Magazzino & Antonia Rosa Gurrieri & Cesare Pozzi & Marco Mele, 2022. "Designing Smart Energy Systems in an Industry 4.0 Paradigm towards Sustainable Environment," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    3. Yang, Fucheng & Luo, Chunyang & Pan, Lu, 2024. "Do digitalization and intellectual capital drive sustainable open innovation of natural resources sector? Evidence from China," Resources Policy, Elsevier, vol. 88(C).
    4. Giovanna Mangialardi & Angelo Corallo & Mariangela Lazoi & Barbara Scozzi, 2022. "Process View to Innovate the Management of the Social Housing System: A Multiple Case Study," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    5. Munir Majdalawieh & Shafaq Khan, 2022. "Building an Integrated Digital Transformation System Framework: A Design Science Research, the Case of FedUni," Sustainability, MDPI, vol. 14(10), pages 1-20, May.

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