Journal of Information Resources Management ›› 2025, Vol. 15 ›› Issue (5): 4-13.doi: 10.13365/j.jirm.2025.05.004

    Next Articles

Integration of Data and Traditional Production Factors: Mechanisms, Paths, and Guarantees

Wu Jiang1,2 Yuan Yiming1 Miao Jiarui1 Zhang Dongying1 Lin Zhenyang3,4 Du Le4,5   

  1. 1. School of Information Management, Wuhan University, Wuhan, 430072; 
    2. Research Center for Digital Business and Industry, Wuhan University, Wuhan, 430072; 
    3. R&D Center for Multimodal AI Data Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, 518071; 
    4. Wuhan Institute of Data Intelligence, Wuhan, 430072; 
    5. East Lake Trading Center for Big Data, Wuhan, 430079
  • Online:2025-09-26 Published:2025-10-31
  • Supported by:
    This work is supported by the Special Project of the National Natural Science Foundation of China "Functional Orientation, Operational Mechanism, and Governance Mechanism of Data Trading Venues" (72442030), Key Projects of the National Natural Science Foundation of China"Research on the Digital and Intelligent Empowerment of Rural Industrial Internet from a Network Perspective"(72232006).

Abstract: With the accelerated development of the digital economy, the deep integration of data elements with traditional production factors has become a key driver of industrial upgrading, as data elements ultimately realize their value in practical application scenarios. Through literature review and theoretical analysis, this study summarizes the mechanisms by which data elements interact with traditional production factors, including the multiplier effect, the entropy reduction effect of information, and the data network effect. It further explores four synergistic pathways toward all-factor integration, identified from practical application scenarios of such integration. Based on these findings, this study proposes safeguard strategies to promote the coordinated development of data elements and multiple production factors across four application dimensions: land data governance, labor skill transformation, capital allocation, and technological innovation. This study provides theoretical support for unlocking data value and constructing a modernized system of production factors.

Key words: Data factors, Multiplier effect, Data network effect, All-factor integration, Integrated market system

CLC Number: