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Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method

Author

Listed:
  • Wang, Weizhong
  • Chen, Yu
  • Wang, Yi
  • Deveci, Muhammet
  • Moslem, Sarbast
  • Coffman, D'Maris

Abstract

Digital transformation has been regarded as a primary styrategy to promote transitions in diverse fields, but industry pioneers believe that the existing barriers may hamper the speed of digital transformation. Hence, this paper presents a synthetical decision model integrating the weighted Heronian mean aggregation (WHMA) operator, the Level-Based Weight Assessment (LBWA) model, the CRITIC (criteria importance through intercriteria correlation) method, and the Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI) model with Fermatean cubic fuzzy sets to evaluate the barriers to digital transformation implementation in energy transitions with unknown weights of experts and criteria. In this framework, an extended WHMA operator with the deviation-based method is established to fuse experts' preference information. The LBWA model and CRITIC method with FCF setting are combined to derive the weights of barriers. Next, these methods are incorporated into the RAFSI model to analyze these barriers. A numerical example of evaluating barriers to digital transformation implementation in the power sector displays the application of the RAFSI model-based decision method. The result reveals that a3 “Equipment manufacturer” (0.7063) has the highest barrier level, and a4 “Consumers of smart power electronic” (0.4391) have the lowest barrier level. After that, sensitivity and comparative explorations are applied to examine the feasibility and reliability of the synthetical model. The results show that the proposed model can provide a more practical and stable evaluation result for supporting the decision of stakeholders associated with ET.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001399
    DOI: 10.1016/j.apenergy.2024.122756
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    as
    1. Gokasar, Ilgin & Deveci, Muhammet & Isik, Mehtap & Daim, Tugrul & Zaidan, Aws A. & Smarandache, Florentin, 2023. "Evaluation of the alternatives of introducing electric vehicles in developing countries using Type-2 neutrosophic numbers based RAFSI model," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    2. Kumar, Sourabh & Barua, Mukesh Kumar, 2023. "Exploring the hyperledger blockchain technology disruption and barriers of blockchain adoption in petroleum supply chain," Resources Policy, Elsevier, vol. 81(C).
    3. Lu Chen & Ayad Hendalianpour & Mohammad Reza Feylizadeh & Haiyan Xu, 2023. "Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL," Group Decision and Negotiation, Springer, vol. 32(2), pages 359-394, April.
    4. Asante, Dennis & He, Zheng & Adjei, Nana Osae & Asante, Bismark, 2020. "Exploring the barriers to renewable energy adoption utilising MULTIMOORA- EDAS method," Energy Policy, Elsevier, vol. 142(C).
    5. Hannan Amoozad Mahdiraji & Fatemeh Yaftiyan & Aliasghar Abbasi-Kamardi & Vahid Jafari-Sadeghi & Jean-Michel Sahut & Leo-Paul Dana, 2023. "A synthesis of boundary conditions with adopting digital platforms in SMEs: an intuitionistic multi-layer decision-making framework," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1723-1751, October.
    6. Maroufkhani, Parisa & Desouza, Kevin C. & Perrons, Robert K. & Iranmanesh, Mohammad, 2022. "Digital transformation in the resource and energy sectors: A systematic review," Resources Policy, Elsevier, vol. 76(C).
    7. Yanping Liu & Lincoln C. Wood & V.G. Venkatesh & Abraham Zhang & Muhammad Farooque, 2021. "Barriers to sustainable food consumption and production in China: A fuzzy DEMATEL analysis from a circular economy perspective," Post-Print hal-04455589, HAL.
    8. Kannan Govindan & Arash Khalili Nasr & Mohammad Saeed Heidary & Saeede Nosrati-Abarghooee & Hassan Mina, 2023. "Prioritizing adoption barriers of platforms based on blockchain technology from balanced scorecard perspectives in healthcare industry: a structural approach," International Journal of Production Research, Taylor & Francis Journals, vol. 61(11), pages 3512-3526, June.
    9. Wang, Jiangquan & Nghiem, Xuan-Hoa & Jabeen, Fauzia & Luqman, Adeel & Song, Malin, 2023. "Integrated development of digital and energy industries: Paving the way for carbon emission reduction," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    10. Dragan Pamučar & Mališa Žižović & Dragan Marinković & Dragan Doljanica & Saša Virijević Jovanović & Pavle Brzaković, 2020. "Development of a Multi-Criteria Model for Sustainable Reorganization of a Healthcare System in an Emergency Situation Caused by the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    11. Deveci, Muhammet & Pamucar, Dragan & Oguz, Elif, 2022. "Floating photovoltaic site selection using fuzzy rough numbers based LAAW and RAFSI model," Applied Energy, Elsevier, vol. 324(C).
    12. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    13. Yildizbasi, Abdullah, 2021. "Blockchain and renewable energy: Integration challenges in circular economy era," Renewable Energy, Elsevier, vol. 176(C), pages 183-197.
    14. Cui, Yongfeng & Liu, Wei & Rani, Pratibha & Alrasheedi, Melfi, 2021. "Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    15. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    16. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    17. Irfan, Muhammad & Elavarasan, Rajvikram Madurai & Ahmad, Munir & Mohsin, Muhammad & Dagar, Vishal & Hao, Yu, 2022. "Prioritizing and overcoming biomass energy barriers: Application of AHP and G-TOPSIS approaches," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    18. 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.
    19. Tseng, Ming-Lang & Ardaniah, Viqi & Sujanto, Raditia Yudistira & Fujii, Minoru & Lim, Ming K., 2021. "Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    20. 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.
    21. Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).
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