Symbiosis of Virtual and Physical: How Can Artificial Intelligence Empower the Enhancement of Supply Chain Resilience
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Enhancing the resilience of supply chain systems is a critical measure to mitigate the impacts of global uncertainties and ensure stable economic operations under complex circumstances. Based on data from Chinese A-share listed companies spanning 2016–2023, this study examines the impact of artificial intelligence (AI) on supply chain system resilience. The findings reveal: (1) AI significantly improves corporate supply chain resilience, with conclusions remaining robust after a series of validity tests; (2) AI enhances supply chain resilience through talent empowerment effects, collaborative linkage effects, and market allocation effects; (3) AI exhibits stronger empowerment effects on supply chain resilience in state-owned enterprises (SOEs), high-tech industries, firms with high market competitiveness, those with widespread adoption of intelligent robots, and enterprises with concentrated supplier/customer bases; (4) AI effectively reduces the impact of exogenous shocks on supply chain systems, thereby achieving "chain stabilization." During the pre-shock and post-shock phases, AI significantly boosts the resistance and recovery capacities of supply chain systems, respectively. These conclusions provide policy references for advancing AI integration and enhancing corporate supply chain resilience.
