Multilateral Architecture and Network Effects:The Operational Logic of Empowering Agricultural Product Quality and Safety Supervision Through Digital Platforms

LI Si-ting; FANG Min

Abstract：With the rise of the latest technologies such as blockchain,big data,cloud computing,and intelligent algorithms,digital platforms are widely used in the supervision of agricultural product quality and safety.The issues of limited platform functionality,obstructed information transmission channels,and information authenticity urgently need to be overcome.This article aims to explore the influencing factors of digital platforms in the supervision of agricultural product quality and safety,mainly focusing on the organizational attributes of digital platforms,and attempting to answer how digital platforms empower the supervision of agricultural product quality and safety.This article proposes an integrated analytical framework based on the theory of technological interdependence,and conducts empirical analysis using the H Agricultural Market in G City as a case study.Research has found that on the one hand,digital platforms connect and cluster regulatory entities such as governments,market operators,merchants,and the public,presenting a"decentralized"multilateral architecture.Through information sharing,process reengineering is achieved,forming a flexible division of labor structure.On the other hand,the regulatory platform is based on a trust network,which constructs a recall channel for consumer traceability through 24/7 real-time supervision and QR code tracing,generating a network effect of frequent supervision feedback and reputation incentives.The research has enriched the platform governance theory of agricultural product quality and safety supervision,and provided empirical evidence.This study also provides useful insights on how to enhance the effectiveness of agricultural product quality and safety supervision by shaping a platform governance community and leveraging its network effects.