Explaining sustainable supply chain performance using a total interpretive structural modeling approach

Abstract

In this paper, we have attempted to develop a theoretical framework to explain sustainable supply chain performance (SSCP) using a total interpretive structural modeling (TISM) technique, an alternative method for generating theories. We have identified the enablers of SSCP using two organizational theories: resource-based view (RBV) and institutional theory (IT). Next, we have developed an instrument (structural self-interaction matrix) to capture the inputs of the respondents. Following graph theory logic, the directed graphs used for joining two nodes were converted into binary digit matrix (reachability matrix). Finally, the reachability matrix has been used to develop a total interpretive structural model (TISM) following Sushil’s (2012) guidelines, and further corrected existing inconsistencies in the previous TISM works using Sushil’s (2016) correction suggested for TISM-based models. The current study contributes to our understanding of SSCP and the enablers of SSCP. This study also contributes to the body of alternative research methods that have been used for generating management theories. Our study also provides guidance to the practitioners who are engaged in management of the sustainable supply chain performance in their organizations. Finally, our study also outlines the limitations of the current study and future research directions to expand the current study to a next level.