Work

Exploring the Relationships Among AI, Agri-food Supply Chain Management Practices, Resilience, and Performance

Year: 2025

Type: article

Abstract: This study investigates the impact of artificial intelligence (AI) on agri-food supply chain resilience (ASCR) and performance in China's agricultural sector. Using data collected from 194 senior executives of Chinese agri-food companies during August-September 2024, the research examines how organizational factors-top management support (TMS), supplier integration (SI), internal management (IM), customer integration (CI), and supply chain collaboration (SCC)-influence ASCR, and how AI moderates these relationships. Employing partial least squares structural equation modeling (PLS-SEM), the findings reveal that TMS, IM, and CI significantly enhance ASCR, with AI demonstrating a significant moderating effect specifically on the IM-ASCR relationship. The study contributes to understanding how digital transformation through AI can enhance supply chain resilience and performance in the agri-food sector. These findings provide practical insights for agri-food executives in developing effective strategies to improve supply chain resilience and performance through AI integration, particularly in the context of emerging markets.

Source: PaperAsia

DOI: 10.59953/paperasia.v41i2b.364

Authors: Fengzhao Yin, May Chiun Lo, Abang Azlan Mohamad, Kit Yeng Sin

Institutions: Weifang Institute of Technology, Universiti Malaysia Sarawak, Sunway University

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: diamond

Funder: Universiti Malaysia Sarawak