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Title: Study of mutual influence drivers in the Indian plastic industry for green supply chain management using interpretive structural modelling

Authors: A. Noorul Haq; Karthika Aerath; Kaliyan Mathiyazhagan

Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirappalli – 620015, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli – 620015, India ' Department of Mechanical Engineering, The NORTHCAP University, Gurgaon – 122017, Haryana, India

Abstract: Green supply chain management (GSCM) is a type of management, which incorporates ecological concepts into various processes of the supply chain. A GSCM driver continuously validates and implements the green strategies in manufacturing enterprises to cut down the pollution that affects the human spirit. Although Indian industries are trying their utmost best to identify drivers for green implementation, they are still at the base stage and struggle to interpret essential drivers and their interdependence on each other for prolonging GSCM adoption. Thus, this work identifies common drivers for the plastic products manufacturing industries (specifically for the injection moulding industries) in India are obtained from a questionnaire survey. The mutual influences of the various common drivers were found out using the interpretive structural modelling (ISM) method. The results inferred that the driver D4 (green image and global marketing) was found to play an important role.

Keywords: green supply chain management; GSCM; drivers; interpretive structural modelling; ISM; plastic industries; MICMAC analysis; supply chain management; SCM; structural self-interaction matrix; SSIM; diagraph.

DOI: 10.1504/IJBPSCM.2017.083886

International Journal of Business Performance and Supply Chain Modelling, 2017 Vol.9 No.1, pp.42 - 65

Available online: 18 Apr 2017 *

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