Exploring the Relationships Among AI, Agrifood Supply Chain Management Practices,Resilience, and Performance
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 o...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
SHPMedia Sdn Bhd
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/48138/1/364-Article%20Text-3670-4321-10-20250502.pdf http://ir.unimas.my/id/eprint/48138/ https://www.compendiumpaperasia.com/index.php/cpa/article/view/364 https://doi.org/10.59953/paperasia.v41i2b.364 |
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| Summary: | 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. |
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