数字经济背景下人工智能驱动电子商务高质量发展的协同路径研究

Study on Collaborative Paths for AI-Driven High-Quality Development of E-Commerce in the Context of the Digital Economy

摘要: 数字经济成为全球经济增长核心引擎，人工智能与电子商务深度融合，正推动电子商务从规模扩张转向高质量发展。但是电子商务产业链各主体存在协同不足问题，需人工智能破解效率瓶颈与要素壁垒。当前人工智能驱动电子商务发展存在三大协同困境，即电子商务主体权责不清与利益冲突、人工智能适配性不足与标准缺失以及数据要素流通不畅。基于此，提出主体、技术、要素三维协同路径，包括构建多元主体公平分配机制与跨主体安全数据共享体系、搭建AI–数据–业务–硬件全链路中枢与业务反向牵引技术适配机制、构建第三方主导的分层数据体系与数据流通合规细则，推动人工智能与电子商务产业链深度融合，驱动电子商务实现高质量发展。

Abstract: Digital economy has become the core engine of global economic growth. The in-depth integration of artificial intelligence (AI) and e-commerce is driving e-commerce to shift from scale expansion to high-quality development. However, there is a problem of insufficient coordination among various subjects in the e-commerce industrial chain, and AI is needed to break through efficiency bottlenecks and factor barriers. Currently, there are three major coordination dilemmas in the AI-driven development of e-commerce: unclear rights and responsibilities and interest conflicts among e-commerce subjects, insufficient adaptability of AI and lack of standards, and poor circulation of data elements. Based on this, a three-dimensional coordination path (involving subjects, technology, and factors) is proposed, including establishing a fair distribution mechanism for multiple subjects and a cross-subject secure data sharing system, building an end-to-end hub integrating AI, data, business, and hardware as well as a business-driven technology adaptation mechanism, and constructing a third-party-led hierarchical data system and compliance rules for data circulation. These measures aim to promote the in-depth integration of AI and the e-commerce industrial chain, thereby driving e-commerce to achieve high-quality development.