Prioritizing the Drivers of Green Supply Chain Management in Indian Manufacturing Industries Using Fuzzy TOPSIS Method: Government, Industry, Environment, and Public Perspectives

被引:30
|
作者
Dhull S. [1 ]
Narwal M.S. [1 ]
机构
[1] Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal Sonepat, Haryana
关键词
Decision-makers; Fuzzy TOPSIS; Green supply chain management (GSCM); Sensitivity analysis; Sustainability;
D O I
10.1007/s41660-017-0030-1
中图分类号
学科分类号
摘要
Environmental sustainability has become a major concern in the present era. The pressure of sustainable development is not only exerted by the government but also by the customer. Awareness among the society and strict government regulations force the industries to reduce environmental impact from their supply chain. Hence, green supply chain management (GSCM) has become an imperative industrial philosophy to avoid environmental hazards. There are motivational forces which are responsible for the implementation of GSCM practices. These motivational forces are termed as drivers. The objective of this paper is to prioritize the drivers of GSCM in Indian manufacturing industries based on government, industry, environment, and public perspectives using fuzzy TOPSIS methodology. An empirical study is made by collecting the data from a group of 12 decision-makers (DMs), three from each perspective. Sensitivity analysis is performed to check the effect of preferences given by each DM. The results show that the regulations forced by the central government play the most significant role followed by regional/state government legislation. The results obtained help firms in identifying the important drivers to implement GSCM practices in Indian manufacturing industries based on different perspectives. It will also help the policymakers to identify important drivers of GSCM in Indian manufacturing industries and will support in implementing GSCM practices. © 2017, Springer Nature Singapore Pte Ltd.
引用
收藏
页码:47 / 60
页数:13
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