Ordering drivers of green supply chain management practices in Indian construction industry: An impact assessment framework
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 25 February 2020
Issue publication date: 15 August 2022
Abstract
Purpose
Increasing pressure from government and consumer to be environmentally conscious has led firms to focus their attention on the assessment and controlling the adverse impacts their operations have on the environment. The current study focuses on identifying the factors and their relative importance in the implementation of Green Supply Chain Management (GSCM) process.
Design/methodology/approach
The factors influencing the GSCM are ranked from most important to least important using a novel method of ranking relying on rough sets theory. Opinions on the importance of the factors are gathered from the experts from industrial, environmental, and societal domains.
Findings
Involvement of government in promoting the importance of green practices in organizations and societal insistence of being environmentally conscious are the factors that demonstrated maximum potential in establishing a strong GSCM framework.
Practical implications
This study aids the management to discover important factors for the establishment of a strong GSCM framework. This encourages the management to follow and apply green practices in operations. Also, it sheds light on the current situation of environmental awareness in the Indian construction industries.
Originality/value
This paper adds to the existing literature on identification and ordering of factors for GSCM by introducing a novel method of ranking based on Rough set approach. The method includes the preference information of the decision makers to yield the final ranking of the factors.
Keywords
Citation
Singh, A. and Misra, S.C. (2022), "Ordering drivers of green supply chain management practices in Indian construction industry: An impact assessment framework", International Journal of Quality & Reliability Management, Vol. 39 No. 8, pp. 1869-1895. https://doi.org/10.1108/IJQRM-03-2019-0076
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited