In the strategic context of establishing a new development paradigm, the high-quality development of e-commerce—a core engine of the digital economy—heavily relies on the efficient market allocation of data elements and the deep synergy of the industrial chain. Integrating resource allocation theory and value co-creation theory, this paper systematically analyzes the internal mechanism through which market-oriented data element allocation drives e-commerce industrial chain synergy. It innovatively constructs a five-dimensional synergy framework comprising "platform leadership, factor circulation, technology empowerment, ecological co-construction, and governance guarantee", embedding the core professional competencies (e.g., market research, data analysis, supply chain management, platform operation) specified in the National Vocational Skills Standard for E-commerce Engineers (Level-II). The research indicates that: (1) Data property rights confirmation/registration, efficient circulation and trading, technological innovation and application, and institutional safeguards constitute the key pathways to industrial chain synergy; (2) Platform enterprises integrate ecological resources and alleviate operational pain points for SMEs through open empowerment and rule-based governance; (3) Government-guided cluster governance mechanisms (e.g., the "chain chief system") significantly facilitate the digital transformation and ecological synergy of industrial clusters; (4) Intelligent decision-making algorithms (e.g., for demand forecasting and resource scheduling) and privacy-enhancing technologies serve as the core pillars of technology empowerment. Accordingly, countermeasures are proposed, providing theoretical support and practical pathways for enhancing the synergy efficiency of the e-commerce industrial chain and fostering the high-quality development of the digital economy.

Zhang Caifeng, Luo Haowen. Research on Collaborative Mechanism of E-commerce Industry Chain Driven by Market Allocation of Data Elements. Academic Journal of Business & Management (2025), Vol. 7, Issue 11: 11-19. https://doi.org/10.25236/AJBM.2025.071102.

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