Decoding Critical Factors for Sustainable Supply Chain Performance: Insights From Grey <scp>ISM</scp> and Grey <scp>MICMAC</scp> Approach

ABSTRACT This study investigates the influential relationship among the key factors of sustainable supply chain performance (SCP), which are green supply chain (GSC), resilient supply chain (RSC), information sharing (INS), big data analytics (BDA), information quality (INQ), and SCP. This research employs a mixed‐method approach, utilizing Grey‐MICMAC and Grey‐ISM techniques to explore the interrelationships among the six important factors. Data was collected from 10 domain experts and evaluated to ascertain the hierarchical relationships among these factors. The Grey‐ISM assesses the interdependence and influence of these essential factors. The analysis indicated that INQ, RSC, and INS exhibit higher driving power, establishing them as essential facilitators in improving SCP. The Grey‐ISM findings highlight that INQ, achieved by INS, is paramount in improving SCP. The Grey MICMAC analysis categorized these elements into four clusters: driving, linking, dependence, and autonomous variables. The findings offer pragmatic direction for managers to enhance supply chain resilience and bolster strategies while also advising policymakers on the necessity of regulatory frameworks that facilitate the integration of essential enablers and sophisticated technology. This study contributes to the literature by proposing an integrated analytical framework, Grey‐ISM and Grey‐MICMAC analysis, establishing a foundation for future research across many industries and regions to investigate the interrelationship among sustainability, technology, and SCP.