Journal of Information Resources Management ›› 2023, Vol. 13 ›› Issue (6): 5-16.doi: 10.13365/j.jirm.2023.06.005

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The Dilemma and Practical Approach of Data Factor Value Creation in Chinese Enterprises from the Collaborative Perspective

Qian Jinlin Xia Yikun   

  1. Research Institute for Data Management Innovations, Nanjing University, Suzhou, 215011
  • Online:2023-11-26 Published:2023-12-28

Abstract: Mining and releasing enterprise data factor value is of great significance to cultivate enterprise core competitiveness and to promote social economic growth. Based on literature research, comparative analysis and other methods, this paper comprehensively uses synergy theory and data value chain theory to analyze the connotation mechanism of data factor value creation, and then based on the coupling of data chain and value chain, this paper builds the analysis framework of the collaborative work scene within the enterprise and the collaborative co-governance scene outside the enterprise. The results suggest that: (1)Chinese enterprises lack the analytical ability of data value system, fail to set up data resource management system, and cannot achieve the collaborative development of data utilization and business scenarios; (2)It is difficult to form a value co-creation network with data sharing and exchange as the core because the data sharing channels between enterprises are not smooth, the data relationship is not harmonious, and the interest balance mechanism is not perfect; (3)The two-way data flow sharing mechanism between enterprises and the government is not perfect, and the government-enterprise data coordination supervision and cultivation system is not complete; (4)It is difficult to balance the protection of data rights and the pursuit of data interests between enterprises and individuals. Therefore, this paper puts forward the practical approach of data factor value creation in China from two perspectives: (1)improving the collaborative research ability of data factor value creation within enterprises, and (2)establishing a multi-agent collaborative and co-governing data ecology outside enterprises.

Key words: Data factor in enterprises, Value of data factor, Synergy theory, Data factor circulation, Data value chain theory

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