IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8954-d868538.html
   My bibliography  Save this article

Operationalization of Critical Success Factors to Manage the Industry 4.0 Transformation of Manufacturing SMEs

Author

Listed:
  • Jonathan Brodeur

    (Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, QC H3T 1J4, Canada)

  • Robert Pellerin

    (Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, QC H3T 1J4, Canada)

  • Isabelle Deschamps

    (Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, QC H3T 1J4, Canada)

Abstract

As an increasing number of manufacturing small and medium enterprises (SMEs) tackle their digital transformation toward Industry 4.0, the need for a methodology to manage this transformation, tailored to their particular context, becomes apparent. Since recent studies have identified critical success factors (CSFs) for the Industry 4.0 transformation of manufacturing SMEs, this paper aims to operationalize these CSFs and propose an Industry 4.0 transformation management methodology. This research is based on an extensive literature review on CSFs for Industry 4.0 transformation, followed by a Delphi–Régnier survey with a panel of Industry 4.0 experts. For each CSF, specific actions to perform at different stages of the Industry 4.0 transformation were defined and validated by experts. Based on a proposed Industry 4.0 transformation process, not all CSFs have to be managed at every phase and step of the transformation process. Each CSF must be supported by different actions positioned within each Industry 4.0 transformation process step. The results of this research are particularly relevant for manufacturing SME managers and consultants managing Industry 4.0 transformation. By performing these actions, they can ensure the achievement of multiple CSFs during their digital transformation projects and, thus, ensure their success. This research combines the academic and professional domains by proposing a way for theoretical findings to be translated into clear actions. The proposed model allows all the actors involved in manufacturing SMEs’ digital transformation projects to understand the actions needed to achieve a successful transformation.

Suggested Citation

  • Jonathan Brodeur & Robert Pellerin & Isabelle Deschamps, 2022. "Operationalization of Critical Success Factors to Manage the Industry 4.0 Transformation of Manufacturing SMEs," Sustainability, MDPI, vol. 14(14), pages 1-35, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8954-:d:868538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8954/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/14/8954/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joséphine Riemens & Andrée-Anne Lemieux & Samir Lamouri & Léonore Garnier, 2021. "A Delphi-Régnier Study Addressing the Challenges of Textile Recycling in Europe for the Fashion and Apparel Industry," Sustainability, MDPI, vol. 13(21), pages 1-30, October.
    2. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    3. Ashton, Robert H., 1986. "Combining the judgments of experts: How many and which ones?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 38(3), pages 405-414, December.
    4. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    5. Levy, Margi & Powell, Philip, 1998. "SME Flexibility and the Role of Information Systems," Small Business Economics, Springer, vol. 11(2), pages 183-196, September.
    6. Frédéric Rosin & Pascal Forget & Samir Lamouri & Robert Pellerin, 2022. "Enhancing the Decision-Making Process through Industry 4.0 Technologies," Sustainability, MDPI, vol. 14(1), pages 1-35, January.
    7. Müller, Ralf & Turner, Rodney, 2007. "The Influence of Project Managers on Project Success Criteria and Project Success by Type of Project," European Management Journal, Elsevier, vol. 25(4), pages 298-309, August.
    8. Vincent F. Yu & Catherine W. Kuo & Ruey Huei Yeh, 2014. "Decision Process Analysis on Project Priority Strategy: A Case Study of an ICT Design Firm," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-11, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    2. Gaffar Hafiz Sagala & Dóra Őri, 2024. "Toward SMEs digital transformation success: a systematic literature review," Information Systems and e-Business Management, Springer, vol. 22(4), pages 667-719, December.
    3. Dandan Wang & Tongfei Yang, 2025. "Research on the Promotion Effect of the Marketization of Data Elements on the Digital Transformation of Manufacturing Enterprises: An Empirical Evaluation of a Multiperiod DID Model," Sustainability, MDPI, vol. 17(7), pages 1-23, April.
    4. Katherine Roth & Kambiz Farahmand, 2023. "A Socio-Technical Study of Industry 4.0 and SMEs: Recent Insights from the Upper Midwest," Sustainability, MDPI, vol. 15(16), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maraña, Patricia & Labaka, Leire & Sarriegi, Jose Mari, 2020. "We need them all: development of a public private people partnership to support a city resilience building process," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    2. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    3. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    4. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.
    5. Muryum Jamil & Farooq Ahmad & Shahida Mariam, 2019. "Knowledge Sharing Accelerates Success of Complex Projects: An Evidence from Pakistan," Global Regional Review, Humanity Only, vol. 4(2), pages 438-447, June.
    6. Nicodemus M. Mutinda & James M. Kilika, 2019. "TMT Cognitive Capability and Organizational Outcomes: A Theoretical Review," International Business Research, Canadian Center of Science and Education, vol. 12(8), pages 31-52, August.
    7. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    8. Lin, Tun & De Guzman, Franklin, 2007. "Tourism for pro-poor and sustainable growth: economic analysis of tourism projects," MPRA Paper 24994, University Library of Munich, Germany.
    9. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    10. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    11. Stocks, Morris H. & Harrell, Adrian, 1995. "The impact of an increase in accounting information level on the judgment quality of individuals and groups," Accounting, Organizations and Society, Elsevier, vol. 20(7-8), pages 685-700.
    12. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    13. Ngoy Kabemba S. & Chisumbe Sampa & Petere Gaida & Mwiya Balimu & Mwanaumo Erastus, 2023. "Factors Influencing Professional Indemnity Insurance Use in Construction Risk Management," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 11(1), pages 199-220, January.
    14. Yu-Kai Lin & Mingfeng Lin & Hsinchun Chen, 2019. "Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act," Service Science, INFORMS, vol. 30(1), pages 306-318, March.
    15. Frederico Fernandes Ávila & Regina C. Alvalá & Rodolfo M. Mendes & Diogo J. Amore, 2024. "Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8121-8151, July.
    16. Li, Fei & Zhang, Nana, 2025. "Digital transformation, innovation investment and quality," Finance Research Letters, Elsevier, vol. 75(C).
    17. van Asselt, E.D. & Meuwissen, M.P.M. & van Asseldonk, M.A.P.M. & Sterrenburg, P. & Mengelers, M.J.B. & van der Fels-Klerx, H.J., 2011. "Approach for a pro-active emerging risk system on biofuel by-products in feed," Food Policy, Elsevier, vol. 36(3), pages 421-429, June.
    18. Daniel Reißmann & Daniela Thrän & Alberto Bezama, 2018. "Key Development Factors of Hydrothermal Processes in Germany by 2030: A Fuzzy Logic Analysis," Energies, MDPI, vol. 11(12), pages 1-20, December.
    19. Silvia Martínez-Perales & Isabel Ortiz-Marcos & Jesús Juan Ruiz & Francisco Javier Lázaro, 2018. "Using Certification as a Tool to Develop Sustainability in Project Management," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    20. Myeonggil Choi & Changhan Lee, 2015. "Information Security Management as a Bridge in Cloud Systems from Private to Public Organizations," Sustainability, MDPI, vol. 7(9), pages 1-20, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8954-:d:868538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.