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Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation

Author

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  • Mahyar Kamali Saraji

    (Kaunas Faculty, Vilnius University, Muitines 8, LT-44280 Kaunas, Lithuania)

  • Dalia Streimikiene

    (Kaunas Faculty, Vilnius University, Muitines 8, LT-44280 Kaunas, Lithuania)

  • Grigorios L. Kyriakopoulos

    (School of Electrical and Computer Engineering, Electric Power Division, Photometry Laboratory, National Technical University of Athens, 9 Heroon Polytechniou Street, 15780 Athens, Greece)

Abstract

Decision and policymakers are looking at the potential of Industry 4.0 smart technologies to create a green economy as the European Commission aims to deliver the European Green Deal by rethinking policies for clean energy supply. Industry 4.0 will eventually be applied to all aspects of life; however, it is necessary to identify the challenges to the adoption of Industry 4.0 for a sustainable digital transformation. In this vein, the present study aims to identify the challenges to the adoption of Industry 4.0 in fintech companies and to develop a novel Fermatean fuzzy CRITIC-COPRAS method to rank the identified challenges and evaluate the performance of companies concerning the weighted challenges based on three decision experts’ support. The results indicated that “difficulty in coordination and collaboration” is the most significant challenge to the adoption of Industry 4.0 out of the fourteen identified challenges, followed by “resistance to change” and “governmental support.” In addition, the superiority and efficiency of the proposed method were investigated through comparative analyses.

Suggested Citation

  • Mahyar Kamali Saraji & Dalia Streimikiene & Grigorios L. Kyriakopoulos, 2021. "Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9577-:d:621845
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    6. Anam Habib & Zareen A. Khan & Muhammad Riaz & Dragan Marinkovic, 2023. "Performance Evaluation of Healthcare Supply Chain in Industry 4.0 with Linear Diophantine Fuzzy Sine-Trigonometric Aggregation Operations," Mathematics, MDPI, vol. 11(12), pages 1-29, June.
    7. Piccarozzi, Michela & Silvestri, Cecilia & Aquilani, Barbara & Silvestri, Luca, 2022. "Is this a new story of the ‘Two Giants’? A systematic literature review of the relationship between industry 4.0, sustainability and its pillars," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
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    12. R. Krishankumar & P. P. Amritha & K. S. Ravichandran, 2022. "RETRACTED ARTICLE: An integrated fuzzy decision model for prioritization of barriers affecting sustainability adoption within supply chains under unknown weight context," Operations Management Research, Springer, vol. 15(3), pages 1010-1027, December.
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    16. Saraji, Mahyar Kamali & Streimikiene, Dalia, 2022. "Evaluating the circular supply chain adoption in manufacturing sectors: A picture fuzzy approach," Technology in Society, Elsevier, vol. 70(C).

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