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Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector

Author

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  • Cui, Yongfeng
  • Liu, Wei
  • Rani, Pratibha
  • Alrasheedi, Melfi

Abstract

The growth of new cutting-edge technologies such as the Internet of Things (IoT) is proposed by the industry 4.0 concept. Despite the vast potential of IoT to be used in the circular economy, the adoption of IoT is still in its primary step. This study aims to identify the important barriers to the adoption of IoT in the circular economy in the manufacturing sector. To this end, a survey study was conducted to construct a framework for the evaluation of the IoT adoption barriers in the circular economy. Therefore, a novel method integrating the Stepwise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) methods based on Pythagorean Fuzzy Sets (PFSs) was proposed. In this method, the SWARA model is used to estimate the significance degree or weighting degrees of the barriers, while the CoCoSo method is applied to ranking various organizations in the manufacturing sector under the identified barriers. To show the performance of the developed approach, a comparison analysis is performed of the selection of qualified organizations. The outcome of this study indicated that the developed approach was able to suggest more realistic performance under PFSs, hence providing a wide range of applications.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521003838
    DOI: 10.1016/j.techfore.2021.120951
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    2. Heidary-Dahooie, Jalil & Rafiee, Mostafa & Mohammadi, Mehdi & Meidute-Kavaliauskienė, Ieva, 2022. "Proposing a new LSGDM framework based on BWM with hesitant fuzzy information for prioritizing blockchain adoption barriers in supply chain," Technology in Society, Elsevier, vol. 71(C).
    3. Ahmad, Farhan & Bask, Anu & Laari, Sini & Robinson, Craig V., 2023. "Business management perspectives on the circular economy: Present state and future directions," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Gülay Demir & Milanko Damjanović & Boško Matović & Radoje Vujadinović, 2022. "Toward Sustainable Urban Mobility by Using Fuzzy-FUCOM and Fuzzy-CoCoSo Methods: The Case of the SUMP Podgorica," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    5. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. Lulu Xin & Shuai Lang & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach," Operations Management Research, Springer, vol. 15(3), pages 773-792, December.
    7. Pratibha Rani & Jabir Ali & Raghunathan Krishankumar & Arunodaya Raj Mishra & Fausto Cavallaro & Kattur S. Ravichandran, 2021. "An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem," Energies, MDPI, vol. 14(15), pages 1-23, July.

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