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Performance variables of GSCM for sustainability in Indian automobile organizations using TOPSIS method
Business Strategy & Development ( IF 4.8 ) Pub Date : 2020-07-31 , DOI: 10.1002/bsd2.124
Deepak Kumar Pathak, Ajay Verma, Vimal Kumar

The 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.

中文翻译:

使用TOPSIS方法的印度汽车组织中GSCM可持续性的性能变量

本文旨在确定绿色供应链管理(GSCM)实践的关键绩效变量,以实现可持续发展目标。它为GSCM建立了各种性能变量之间的全面结构关系,以实现印度汽车行业的可持续性。借助行业专家的专家意见和现有文献综述,15关键性能变量已被确定并陈述,因为这些变量试图实现GSCM实践中的可持续性目标。采用与理想解决方案相似的顺序偏好技术(TOPSIS)来开发模型,然后对它们进行排名。这项研究的结果表明,供应商对GSCM的意愿,对技术进步的采用和最高管理者的承诺已成为最重要的三个关键变量,而组织激励,可持续产品的鼓励和政府支持系统则被确定为最不重要的三个参数。 。它还有助于获得优先基础,以在汽车工业中创建更绿色的平台。这项研究可帮助管理人员,从业人员,和决策者根据GSCM惯例制定战略和战术决策,以提高印度汽车行业的可持续性。关键输入表明,企业中的GSCM更加积极主动且准备充分。这项研究的新颖性在于GSCM的要求,因为大多数汽车公司都在建立自己的工厂以了解经济,社会和环境发展。确定绩效变量以改善组织绩效,以促进实践和政策方面的可持续发展。社会和环境发展。确定绩效变量以改善组织绩效,以促进实践和政策方面的可持续发展。社会和环境发展。确定绩效变量以改善组织绩效,以促进实践和政策方面的可持续发展。
更新日期:2020-07-31
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