Enabling Supply Chain Resilience Through Green Supply Chain Integration in Agribusinesses: The Role of Responsible Innovation and Agentic AI

Abstract

In the face of severe impacts on agricultural supply chains caused by ecological degradation and environmental turbulence, leveraging green supply chain integration practices to build supply chain resilience has become pivotal in agribusiness management. However, empirical evidence remains insufficient regarding the specific internal mechanisms and boundary conditions through which green supply chain integration practices foster supply chain resilience. To address this knowledge gap, our study investigates the impact of green supply chain integration on supply chain resilience based on organizational information processing theory, while focusing on the mediating and moderating roles played by responsible innovation and agentic AI within this mechanism, respectively. Utilizing hierarchical regression analysis and the MEDCURVE macro program on survey data from 225 Chinese agribusinesses, the results indicate that green supply chain integration has an inverted U-shaped relationship with both responsible innovation and supply chain resilience. Responsible innovation partially mediates the relationship between green supply chain integration and supply chain resilience. Furthermore, agentic AI positively moderates the linear slopes and shifts the turning points of the inverted U-shaped relationships rightward, extending the optimal threshold of green supply chain integration for both responsible innovation and supply chain resilience. Our study aims to introduce agentic AI into empirical research on green supply chain practices and resilience mechanisms, thereby offering theoretical and managerial insights for advancing agribusinesses toward building highly resilient, intelligent, and green agentic supply chains.