MODELLING OF CRITICAL FACTORS IN THE TEXTILE SUPPLY CHAIN: DIGITAL TRANSFORMATION

Abstract

The textile industry is a very dynamic and complex sector that can greatly benefit from the integration of digital technologies in order to improve operational performance or efficiency, enhance collaboration, and achieve sustainable practices. The study begins by providing an overview of the textile industry, highlighting its significance in the global economy and the challenges it faces. It then focuses on the application of digital technologies in various stages of the textile supply chain, including sourcing, manufacturing, logistics, and customer engagement. Examples of digital technology applications, such as data analytics, artificial intelligence, Internet of Things (IoT), and are discussed to illustrate their potential impact. This study aims to identify the Critical Success Factors (CSFs) in the adoption of digital technologies for supply chain management in textile industry. To build the interrelationships between the factors, the Interpretive Structural Modeling (ISM) technique is employed. This technique enables the development of a hierarchical structure that reflects the interdependencies and relationships among the identified factors. Based on the ISM analysis, a model is formulated to prioritize the CSFs and understand their influence on each other. Further, this model is modernized with TISM Approach. The new TISM model provides insights into the key factors that drive the successful adoption of digital technologies in the textile sector’s supply chain. The findings will assist textile industry practitioners in making informed decisions regarding technology investments, process improvements, and organizational strategies. The proposed research contributes to the existing literature by vi providing a comprehensive understanding of the CSFs in digital technology adoption in the textile industry. The results derived from this study is that TISM model is developed with factors in different levels and relations are determined between the factors. The critical success factor found out to be Adaptive Agility which is at level 5. Customer Intimacy is at level 1 which is influenced by all factors. MICMAC analysis shows three factors in dependent quadrant and no factor is in the autonomous quadrant. It bridges the gap between theoretical concepts and practical implementation, offering valuable insights for textile companies, researchers, and policymakers.