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ABSTRACT
The objective of this research was to identify Corporate Social Responsibility (CSR) criteria as well as propose and prioritise the alternatives to improve the supply chain performance system of an organisation. To meet the objective, firstly, CSR-based criteria, sub-criteria and alternatives were identified based on the literature review and discussion with the field experts, taken from automobile industries located at the Delhi region of India. Then, kappa statistics has been applied to check the internal consistency between identified criteria and sub-criteria. After finding the evidence of internal consistency, a hierarchical-type model has been developed and analysed using a multi-criteria decision-making as an integrated fuzzy analytical hierarchy process (AHP) and a fuzzy technique for order performance by similarity to the ideal solution (TOPSIS) approach. To make the results more robust and feasible, a sensitivity analysis has also been performed.
Disclosure statement
The present research work is done purely with academic interest in respect of supply chain performance of automobile industries without taking financial aid from any source. The terms of this arrangement have been reviewed and approved by the author’s with its policy on objectivity in research as per the area of interest. The authors express their sincere thanks to the Editor-in-Chief, and ‘reviewers’ valuable suggestions and useful comments on the earlier version of this paper.