SUSTATAINABLE SUPPLY CHAIN

Sustainable supply chain management (SSCM) has emerged as a critical area of research and practice over the past two decades. This paper analyses the existing literature on SSCM drivers and proposes the use of Total Interpretive Structural Modelling (TISM) to identify and analyse the relationships between different SSCM drivers and their relative importance. The systematic review of the literature on SSCM drivers reveals the need for alternative research methods that can take into account the dynamic nature of SSCM and bridge the existing quantitative/qualitative divide. The proposed framework illustrates how SSCM drivers are distributed in various levels and how a particular driver influences the others through transitive links. By using TISM, this paper aims to provide a more comprehensive understanding of SSCM and its drivers, which can contribute to the development of sustainable supply chain practices in the future. The paper concludes with limitations and further research directions, highlighting the need for further empirical studies to validate the proposed framework and the use of TISM in SSCM research. Overall, this paper contributes to the advancement of methodological approaches and techniques for studying SSCM, providing a valuable tool for practitioners and researchers in the field of sustainability.