Design of a Comprehensive Technology Sustainability Assessment Model in the Textile Industry Using Bayesian Networks

Authors

  • Erfan Mazinani * Department of in Industrial Engineering, Tarbiat Modares University, Tehran, Iran.
  • Nasim Nahavandi Department of in Industrial Engineering, Tarbiat Modares University, Tehran, Iran. https://orcid.org/0000-0002-1445-6557

https://doi.org/10.48313/scodm.v3i4.68

Abstract

This study focuses on designing a comprehensive model for assessing technology sustainability in the textile industry using Bayesian networks. Given that the textile and apparel industry is recognized as one of the most polluting industries, it requires particular attention to sustainability issues. Accordingly, the proposed model seeks to identify the factors and risks affecting technology sustainability and provide a tool for assessing and analyzing these factors. The research adopts a developmental approach and is based on the collection of qualitative data through interviews with experts in the textile industry. The results indicate that economic and social sustainability have a significant impact on technology sustainability. This model can assist managers and policymakers in focusing on key factors to improve technology sustainability and promote the sustainable development of the textile industry.

Keywords:

Technology sustainability, Textile industry, Bayesian networks, Sustainable development

References

  1. [1] Henry, B., Laitala, K., & Klepp, I. G. (2019). Microfibres from apparel and home textiles: Prospects for including microplastics in environmental sustainability assessment. Science of the Total Environment, 652, 483–494. https://doi.org/10.1016/j.scitotenv.2018.10.166
  2. [2] Alghababsheh, M., & Gallear, D. (2021). Socially sustainable supply chain management and suppliers’ social performance: The role of social capital. Journal of Business Ethics, 173(4), 855–875. https://doi.org/10.1007/s10551-020-04525-1%0A
  3. [3] Fratocchi, L., & Di Stefano, C. (2019). Does sustainability matter for reshoring strategies? A literature review. Journal of Global Operations and Strategic Sourcing, 12(3), 449–476. https://doi.org/10.1108/JGOSS-02-2019-0018
  4. [4] Vishwakarma, A., Dangayach, G. S., Meena, M. L., & Gupta, S. (2022). Analysing barriers of sustainable supply chain in apparel & textile sector: A hybrid ISM-MICMAC and DEMATEL approach. Cleaner Logistics and Supply Chain, 5, 100073. https://doi.org/10.1016/j.clscn.2022.100073
  5. [5] George, G., Corbishley, C., Khayesi, J. N., Haas, M. R., & Tihanyi, L. (2016). Bringing Africa in: Promising directions for management research. Academy of Management Journal, 59(2), 377-393. https://doi.org/10.5465/amj.2016.4002
  6. [6] Warasthe, R., Brandenburg, M., & Seuring, S. (2022). Sustainability, risk and performance in textile and apparel supply chains. Cleaner Logistics and Supply Chain, 5, 100069. https://doi.org/10.1016/j.clscn.2022.100069
  7. [7] Kim, H., Sefcik, J. S., & Bradway, C. (2017). Characteristics of qualitative descriptive studies: A systematic review. Research in Nursing & Health, 40(1), 23–42. https://doi.org/10.1002/nur.21768
  8. [8] Farrukh, A., & Sajjad, A. (2024). Drivers for and barriers to circular economy transition in the textile industry: A developing economy perspective. Sustainable Development, 32(6), 7309–7329. https://doi.org/10.1002/sd.3088
  9. [9] Ahmad, M., & Wilkins, S. (2025). Purposive sampling in qualitative research: A framework for the entire journey. Quality & Quantity, 59(2), 1461–1479. https://doi.org/10.1007/s11135-024-02022-5
  10. [10] Buschle, C., Reiter, H., & Bethmann, A. (2020). Introducing the qualitative pretest interview (QPI) for questionnaire development. SocArXiv. https://www.researchgate.net

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Published

2026-11-16

Issue

Vol. 3 No. 4 (2026): Supply Chain and Operations Decision Making

Section

Articles

License

Copyright (c) 2026 Supply Chain and Operations Decision Making

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Mazinani, E. ., & Nahavandi, N. . (2026). Design of a Comprehensive Technology Sustainability Assessment Model in the Textile Industry Using Bayesian Networks. Supply Chain and Operations Decision Making, 3(4), 277–288. https://doi.org/10.48313/scodm.v3i4.68

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