Enterprise Supply Chain Risk Management Under Digital Transformation

Abstract

Against the backdrop of a complex and volatile global economic environment, enterprise supply chains are exposed to multiple forms of disruption, including pandemics, geopolitical tensions, market instability, operational breakdowns, and digital vulnerabilities. Recent studies have shown that supply chain risk management has evolved from a narrow operational concern into a broader governance issue closely associated with resilience, adaptability, and long-term viability. At the same time, digital transformation has created new opportunities for improving visibility, coordination, forecasting, and decision-making, while also introducing risks related to cybersecurity, information fragmentation, and technological dependence. In this background, this paper proposes a conceptual framework for enterprise supply chain risk management by integrating recent literature on risk typology, resilience, and digital innovation. The study identi-fies four major categories of supply chain risk: supply risk, demand risk, opera-tional risk, and information risk. It further argues that effective risk manage-ment should follow a dynamic process of risk identification, assessment, re-sponse, and monitoring. On this basis, the paper proposes a three-dimensional strategic framework composed of preventive strategies, responsive strategies, and innovation-oriented strategies under digital transformation. The findings suggest that enterprises can strengthen supply chain resilience not only through traditional measures such as supplier diversification, safety stock, and emer-gency planning, but also through digital technologies including big data analyt-ics, the Internet of Things, artificial intelligence, blockchain, and digital twins. This study contributes to the understanding of supply chain risk governance in the digital era and provides practical implications for firms seeking to balance efficiency, resilience, and sustainability.