Evaluating circular economy and smart technology adoption barriers in the Indian textile and apparel industries using neutrosophic ISM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05651-5.pdf
Reference99 articles.
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2. Abdel-Basset, M., Manogaran, G., Gamal, A., & Smarandache, F. (2018). A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria. Design Automation for Embedded Systems, 22(3), 257–278. https://doi.org/10.1007/s10617-018-9203-6
3. Adhikari, A., & Bisi, A. (2020). Collaboration, bargaining, and fairness concern for a green apparel supply chain: An emerging economy perspective. Transportation Research Part e: Logistics and Transportation Review, 135, 101863. https://doi.org/10.1016/j.tre.2020.101863
4. Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Towards sustainable textile and apparel industry: Exploring the role of business intelligence systems in the era of industry 4.0. Sustainability, 12(7), 2632. https://doi.org/10.3390/su12072632
5. Alcayaga, A., Wiener, M., & Hansen, E. G. (2019). Towards a framework of smart-circular systems: An integrative literature review. Journal of Cleaner Production, 221, 622–634. https://doi.org/10.1016/j.jclepro.2019.02.085
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