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

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.