The present study identifies and analyses the circular supply chain (CSC) enablers concerned with industrial organizations to understand the interconnectedness of CSC enablers.
Conducting a thorough literature review and utilizing a hybrid approach involving Robust-Best-Worst-Method (RBWM) and Interpretive Structural Modeling (ISM) methodologies, we assess the intensity and connectivity of Circular Supply Chain Enablers (CSCEs), incorporating expert opinions. Additionally, we employ fuzzy-MICMAC analysis to determine the driving-dependent power of the CSCEs.
The study identifies 30 CSCEs in a framework, excluding three low-impact enablers at the initial stage. An additional 30 CSCEs are introduced to enhance the framework for improved implementation. The Fuzzy MICMAC study underscores the high instability of four enablers in the linkage quadrant, signaling that minor adjustments negatively impact organizational performance.
This work holds practical significance for industry researchers and practitioners alike. The initial study introduces a structural hierarchy of CSCEs, aiming to provide a model for academics studying CSC and facilitate its practical implementation.
