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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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    5. Paula Morella & María Pilar Lambán & Jesús Royo & Juan Carlos Sánchez & Jaime Latapia, 2023. "Technologies Associated with Industry 4.0 in Green Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    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).
    8. Viviana D’Angelo & Valeria Belvedere, 2023. "Green Supply Chains and Digital Supply Chains: Identifying Overlapping Areas," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    9. Jiaxi Luo, 2022. "A Bibliometric Review on Artificial Intelligence for Smart Buildings," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    10. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Moslem, Sarbast & Coffman, D'Maris, 2024. "Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method," Applied Energy, Elsevier, vol. 360(C).
    11. Phemelo Tamasiga & Helen Onyeaka & El houssin Ouassou, 2022. "Unlocking the Green Economy in African Countries: An Integrated Framework of FinTech as an Enabler of the Transition to Sustainability," Energies, MDPI, vol. 15(22), pages 1-28, November.
    12. Ayyildiz, Ertugrul, 2022. "Fermatean fuzzy step-wise Weight Assessment Ratio Analysis (SWARA) and its application to prioritizing indicators to achieve sustainable development goal-7," Renewable Energy, Elsevier, vol. 193(C), pages 136-148.
    13. 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.
    14. Bingqin Dai & Wenquan Liang, 2022. "The Impact of Big Data Technical Skills on Novel Business Model Innovation Based on the Role of Resource Integration and Environmental Uncertainty," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    15. Raghunathan Krishankumar & Arunodaya Raj Mishra & Fausto Cavallaro & Edmundas Kazimieras Zavadskas & Jurgita Antuchevičienė & Kattur Soundarapandian Ravichandran, 2022. "A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    16. Michalis Skordoulis & Grigorios Kyriakopoulos & Stamatiοs Ntanos & Spyros Galatsidas & Garyfallos Arabatzis & Miltiadis Chalikias & Petros Kalantonis, 2022. "The Mediating Role of Firm Strategy in the Relationship between Green Entrepreneurship, Green Innovation, and Competitive Advantage: The Case of Medium and Large-Sized Firms in Greece," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    17. 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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