Structural Analysis of Sustainable Fashion Adoption: An Integrated TISM and MICMAC Approach

The fashion industry is one of the largest contributors to pollution. It is crucial to reduce the carbon footprint of these industries by adopting sustainability. This study investigates the factors that promote the adoption of sustainable fashion practices and provides the theoretical framework from an extensive literature review of existing literature through the Delphi-assisted Total Interpretive Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. TISM is utilized to develop a structural model based on contextual relationships, allowing the identification of influential factors. Meanwhile, MICMAC is used to categorize these factors based on their driving power and dependence. The findings reveal that consumer awareness and demand, CSR Knowledge, Consumer awareness and Sustainability Education, Environmental regulations and policies, and Global sustainability goals (e.g., SDGs) are the most influential factors of adoption. This study will help industry practitioners, policymakers, and managers to strategically navigate the road to successfully adopting sustainable fashion, paving the way for more sustainable and efficient practices in the textile industry.