Do green innovation and resilience mediate the relationship between AI-enabled dynamic capabilities and sustainable supply chain performance?

Despite recent advances in the deployment of artificial intelligence technologies for building resilient industries and sustainable development, existing literature largely overlooks the dual mediation role of green innovation and supply chain resilience in how AI-enabled dynamic capabilities relate to the sustainable performance of supply chains. In this study, we extend the dynamic capabilities framework by integrating AI-enabled dynamic capabilities and these two mediator variables in influencing sustainable supply chain performance. Drawing on survey data collected from 634 managers in 423 Chinese construction firms, our empirical validation demonstrates that AI-enabled dynamic capabilities amplify businesses' capacity to sense, seize, and reconfigure resources more rapidly in complex environments. Both green innovation and supply chain resilience exert significant mediation effects. Our theoretical contribution lies in showing that green innovation proactively enhances environmental performance through sustainable practices while supply chain resilience ensures reactive adaptability amid disruptions. These findings offer important implications for how construction industry firms should strategically invest in AI-enabled dynamic capabilities to meet new regulatory requirements, foster sustainable competitive advantages and build resilient supply chains.