Performance variables of GSCM for sustainability in Indian automobile organizations using TOPSIS method

Abstract

AbstractThe article aims to identify key performance variables of green supply chain management (GSCM) practices to achieve sustainable development goals. It develops a comprehensive structural relationship between various performance variables for GSCM for sustainability in Indian automobile industries. With the help of expert opinions from industry professionals and extant literature review, 15 key performance variables have been identified and stated as these variables attempt to achieve the sustainability goals in GSCM practices. The Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method is employed to develop the model and then rank them. The results of this study show that supplier willingness towards GSCM, Adoption of technology advancement adoption, and top management commitment have emerged as top three key variables, while organizational motivating, encouragement of sustainable product, and government support systems are identified as the bottom three parameters. It also helps to achieve the priority basis to create a greener platform in the automobile industry. The study helps the managers, practitioners, and policymakers in making strategic and tactical decisions for better sustainability in the Indian Automobile industries in the context of GSCM practices. The critical inputs show the GSCM in the firms being more proactive and well prepared. The novelty of this research lies in the requirement of GSCM as most automobile companies set up their plants for awareness of economic, social, and environmental development. The performance variable identified to improve organizational performance to contribute to sustainable development improvements in the practices and policies.