The Role of Big Data Analytics Capability in Enhancing Supply Chain Risk Management, Resilience, and Performance

The increasing complexity and competition within modern supply chains have heightened the need for technological integration to ensure both survival and strategic advantage. As supply chains span multiple stakeholders and complex logistics networks, the associated risks demand the effective, efficient, and timely acquisition, processing, and analysis of information. Big Data Analytics Capability (BDAC) has thus emerged as a critical enabler, empowering organizations to enhance risk management, build resilience, and improve performance. For clarity, Big Data Analytics (BDA) refers to the use of tools and techniques to analyze large datasets for decision-making, whereas BDAC reflects an organization’s ability to effectively apply these technologies to create value and achieve strategic goals. However, traditional supply chain risk management (SCRM) approaches largely focus on proactive activities, overlooking the reactive capabilities essential for achieving resilience. This study proposes a holistic conceptual framework that integrates both proactive and reactive activities, conceptualizes supply chain resilience (SCR) as a mediator and BDAC as a moderator that strengthens the impact of SCRM on SCR. Grounded in the Dynamic Capability View (DCV) and syntheses from literature, the framework addresses key theoretical gaps and offers actionable insights for practice. Future research should empirically validate the framework across varied industry contexts.