Theoretical and Practical Research on the Recognition of Enterprise Data Element Assets

Authors

  • Qianxi Hong Agricultural and Forestry Economics and Management, School of Economics and Management, School of Northwest A&F University, Xianyang, China

DOI:

https://doi.org/10.54097/6kcr2n80

Keywords:

data elements, data assets, digitalization.

Abstract

With the rapid development of digital economy, as a new core factor of production, the economic value and importance of data elements have become increasingly prominent, playing a key role in promoting economic growth, enhancing the competitiveness of enterprises and optimizing the allocation of resources. However, the economic characteristics of data elements make the identification of assets face many challenges, including the vague definition of property rights and the difficulty of value evaluation. In the context of the marketization of data elements, this paper analyzes the economic characteristics of data elements and combines with the reality of China to provide a theoretical framework and practical path for enterprises to construct the identification and confirmation of enterprise data elements assets. Starting from the theoretical basis of data element asset identification, this paper analyzes the development status and challenges of data element asset identification in China by combining qualitative analysis with quantitative analysis, and explores possible coping strategies, which provides a reference for building a scientific and rational data element asset identification system and a practical path for enterprises to identify data element assets.

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References

[1] Oztemel E., Gursev S. Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 2020, 31(1): 127-182.

[2] China Academy of Information and Communications Technology, Global Digital Economy Development Research Report. 2025, https://www.caict.ac.cn/kxyj/qwfb/bps/202501/t20250116_651709.htm

[3] Grover V., Chiang, R.H.L., Liang, T-P., Zhang, D. Creating strategic business value from big data analytics: a research framework. Journal of Management Information Systems, 2018, 35 (2): 388-423.

[4] Rajnoha R., Hadac J. Strategic key elements in big data analytics as driving forces of IoT manufacturing value creation: a challenge for research framework. IEEE Transactions on Engineering Management, 2021,1-16.

[5] Brinch M., Gunasekaran A., Fosso Wamba S. Firm-level capabilities towards big data value creation. Journal of Business Research, 2021, 131(7): 539-548.

[6] Charles I. Jones, Christopher Tonetti.Nonrivalry and the Economics of Data. American Economic Review, 2020, 110 (9): 2819–58.

[7] Hong Yongmiao, Shi Jiuling. Economic Theory and Economic Management. Journal of Data Economy, 2024, 44(8): 1–16.

[8] China Academy of Information and Communications Technology. Report on Data Monetisation and the Development of Data Element Markets. 2024, www. caict. ac. cn/ kxyj/ qwfb/ ztbg/ 202409/ t20240926_ 493876.htm

[9] Zhang Junrui, Zhao Weina, Wang Qianwen. Current Status of Listed Companies' Data Asset Recognition and Market Reactions: A Case Study of Interim Reports from A-Share Listed Companies. Finance and Accounting Monthly, 2024, 45(24): 42–50.

[10] Shanghai Advanced Institute of Finance, SAIF Releases Annual Report on Tracking the Recognition of Data Assets by Chinese Enterprises. 2025, https://www.saif.sjtu.edu.cn/show-173-6642.html

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Published

13-03-2026

Issue

Section

Articles

How to Cite

Hong, Q. (2026). Theoretical and Practical Research on the Recognition of Enterprise Data Element Assets. Journal of Innovation and Development, 14(3), 254-258. https://doi.org/10.54097/6kcr2n80