Title: Analysis of interactions among the enablers of green supply chain management using interpretive structural modelling: an Indian perspective
Authors: Swayam Sampurna Panigrahi; Bandita Sahu
Addresses: Operations Management, Institute of Public Enterprise (IPE), Shameerpet, Hyderabad, Telangana, 500078, India ' Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, 759146, India
Abstract: The demand of products having minimal environmental impact is soaring high at present. This is because of growing awareness regarding the environmental and global warming concerns. Hence, the industries will now be answerable to their customers about how green their manufacturing processes and supply chains are. It is established that an improved environmental performance leads to financial gains. It is important to analyse the factors that motivates the companies to implement the green way of manufacturing. This study identifies 12 key enablers from the literature that foster the implementation of green supply chain management (GSCM). Further, a quantitative modelling approach, i.e., interpretive structural modelling is applied to analyse the interactions among these enablers. A conceptual framework for the evaluation of the enablers has also been presented. In order to validate the model developed, a case study involving an aluminium manufacturing firm from Eastern India is considered for the study. This study suggests that the major enablers to the adoption of GSCM in manufacturing companies are green methods to reduce GHG emissions, use of eco-friendly raw materials, recycling, recovering end of life products and judicious selection of environmentally responsible or green suppliers.
Keywords: green supply chain management; GSCM; enablers for green supply chain management; sustainable development; interpretive structural modelling; ISM.
International Journal of Comparative Management, 2018 Vol.1 No.4, pp.377 - 399
Received: 15 May 2018
Accepted: 21 Sep 2018
Published online: 10 Dec 2018 *