Title: Identification of performance measures in Indian automobile industry: a green supply chain management approach

Authors: Minhaj Ahemad A. Rehman; Tushar A. Aneyrao; A.D. Pachchhao; R.L. Shrivastava

Addresses: Department of Mechanical Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India ' Department of Mechanical Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India ' Department of Mechanical Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India ' Department of Mechanical Engineering, Yeswantrao Chavan College of Engineering, Nagpur, India

Abstract: The environment is experiencing pressure from various manufacturing industries. Environmental pollution produced from process industries causing very dangerous issues like global warming, production of green house gases and depletion of ozone layer. Green supply chain management (GSCM) is the approach by which we minimise the effect of this environmental hazard. This study aims to identify the various measures on which performance of GSCM can be evaluated and further validation of the identified performance measures (PM). The automobile sector in India is considered to carry out the study in order to limit the scope of the research work. After comprehensive literature review and study we have identified six performance measures having 28 variables. Based on this, factor and reliability analysis has been performed. These measures are identified with exhaustive literature survey and its validation is tested using confirmative factor analysis to test the fitness of classification of elements among these measures. The study is done in central India, though the factors identified are relevant to Indian as well as global context.

Keywords: green SCM; supply chain management; GSCM; confirmative factor analysis; performance measures; reliability analysis; India; automobile industry; automotive supply chains.

DOI: 10.1504/IJBPM.2016.073328

International Journal of Business Performance Management, 2016 Vol.17 No.1, pp.30 - 43

Received: 04 Nov 2014
Accepted: 16 Jan 2015
Published online: 30 Nov 2015 *

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