1. University of Science and Technology Beijing, Beijing, China; 2. China University of Political Science and Law, Beijing, China; 3. Renmin University of China, Beijing, China; 4. Beijing Sport University, Beijing, China; 5. Beijing Wuzi University, Beijing, China
Abstract：Based on a dual-case analysis of Kuaishou and Migu, this study explores the labor-based and asset-based value generation mechanisms of data elements through the “generation—processing—exchange” analytical framework of the data value chain theory. The findings reveal that labor-based value generation consists of three key stages: primary labor, processing labor, and operational labor, whereas asset-based value generation encompasses synergistic generation, reutilization-driven enhancement, and integrative interconnection. Both mechanisms, whether labor-based or asset-based, operate through a value retrospection and sharing mechanism, which standardizes the distribution of benefits among different stakeholders. Moreover, labor-based and asset-based value generation exhibit “simultaneity” in time and “coexistence” in space, indicating that the data value generation process is characterized by a dual-fusion logic of labor-based and asset-based mechanisms. These two mechanisms are intricately intertwined and mutually reinforcing, jointly facilitating the sustained value generation of data elements.
张志朋，唱小溪，周禹，张好雨，魏巍. 数据要素价值生成机理的双案例研究[J]. 管理学报, 2025, 22(7): 1215-.
ZHANG Zhipeng，CHANG Xiaoxi，ZHOU Yu，ZHANG Haoyu，WEI Wei. A Dual Case Study on the Value Generation Mechanism of Data Elements. Chinese Journal of Management, 2025, 22(7): 1215-.
