Using interpretive structure modeling to analyze the interactions between environmental sustainability boundary enablers

Abstract

Purpose

The modern business community understands the importance of long-term satisfaction of consumer. Enabling the consumer to return products is a significant part of the equation. The purpose of this paper is to analyze the sustainable boundaries in terms of their relationship toward greening a supply chain.

Design/methodology/approach

Using interpretive structural modeling the research presents a hierarchy-based model to realize the driving power and dependence of sustainable boundary enablers.

Findings

The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.

Practical implications

This classification provides a useful tool to supply chain managers to differentiate between independent and dependent variables and their mutual relationships which would help them to focus while making strategic, tactical or operational decisions as and when required while designing a green supply chain.

Originality/value

This research assumes importance in context of greening a supply chain when globally enterprises are getting a lot of pressure from consumers as well as the regulatory measures from the government. Sustainability demands that the resources be used in lean manner through information coordination with all partners in a supply chain. The findings of this study would help delineate those variables that should to be necessarily considered to design a sustainable supply chain.

Citation

Dev, N.K. and Shankar, R. (2016), "Using interpretive structure modeling to analyze the interactions between environmental sustainability boundary enablers", Benchmarking: An International Journal, Vol. 23 No. 3, pp. 601-617. https://doi.org/10.1108/BIJ-05-2013-0063