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Evaluating circular economy and smart technology adoption barriers in the Indian textile and apparel industries using neutrosophic ISM

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The rise of globalization and digitization provoked textile and apparel industries worldwide to change their traditional business models. The textile and apparel manufacturing industries are ushering towards adopting novel concepts, viz. smart technologies (ST) due to the advent of industry 4.0 and circular economy (CE) to make their supply chains resilient, sophisticated, and sustainable. This study attempts to identify and evaluate the CE–ST barriers in the Indian Textile and Apparel industries. Eleven significant barriers to CE–ST adoption are identified through an extensive literature review and further validated through a validatory survey using industry experts. This paper utilized a novel form of interpretive structural modeling (ISM) by integrating it with the neutrosophic approach, i.e. Neutrosophic ISM, to compute the driving and dependence power of identified CE–ST barriers. The findings indicate that ‘unawareness of adoption policies’ and ‘lack of government support and subsidies’ are critical obstacles to adopting the CE–ST framework in the Indian textile and apparel industries. This research work is the first-of-its-kind to identify and analyze the critical CE–ST barriers in textile and apparel industries and propose strategies to mitigate them. This study offers key strategies to overcome CE–ST barriers to aid practitioners, stakeholders, policymakers, and industry leaders in effectively implementing CE–ST practices in TAI.

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Correspondence to Vishwas Dohale, Priya Ambilkar or Balkrishna Eknath Narkhede.

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Appendix A1

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Table 12 Identified Barriers to CE–ST adoption in TAI


Appendix A2

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Table 13 Profile of respondents participated in validatory survey


Appendix A3

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Table 14 Profile of the experts contacted for Neutrosophic ISM


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Dohale, V., Ambilkar, P., Bilolikar, V. et al. Evaluating circular economy and smart technology adoption barriers in the Indian textile and apparel industries using neutrosophic ISM. Ann Oper Res (2023).

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