Research on resilience enhancement mechanism of intelligent supply chain in digital transformation context

This study explores the synergistic effect of Internet of Things (IoT) and edge computing on the supply chain resilience through technological interaction channels. Based on dynamic capability theory and resource coordination theory, the study employs external data sources such as the World Bank Enterprise Survey, the China Industrial Enterprise Database, and the China Ministry of Industry and Information Technology to investigate the research question. Specifically, it uses panel data from 892 manufacturing and logistics enterprises spanning 2020-2024, employing hierarchical regression and simple slope analysis as the empirical methods. The empirical results show that the application level of either IoT technology or edge computing can significantly improve supply chain resilience, with remarkable synergistic effects when the two technologies are jointly adopted. Edge computing can further improve the efficiency of IoT applications by enabling higher application-level thresholds. Additionally, the synergistic effect between IoT technology and edge computing exhibits industrial heterogeneity in optimizing resilience-building efficiency: the manufacturing industry demonstrates a stronger synergistic effect than the logistics industry. This study formally validates the theoretical mechanism underlying technology application, encompassing real-time sensing, edge analysis, and rapid response. It thereby addresses a critical gap in the existing literature and theoretical framework concerning the “resilience-warning capability-response speed” model.