A Practical Risks and Standardized Governance of Data Asset Capitalization for Construction Enterprises

Jian Wu

doi:10.62177/chst.v3i1.1051

Authors

Jian Wu Wuhan Luda Construction Engineering Testing Co.

DOI:

https://doi.org/10.62177/chst.v3i1.1051

Keywords:

Whole-Process Management, Construction Enterprises, Data Asset Capitalization of Construction Enterprises, Engineering Financial Risks

Abstract

Data asset capitalization for construction enterprises is a comprehensive systematic project involving the whole project lifecycle, multiple stakeholders, and cross-domain collaboration. The standardization of its operation is directly linked to the quality of financial accounting of construction enterprises, the effectiveness of investor decision-making, and the efficiency of industry supervision. Currently, this process is confronted with several prominent challenges: the absence of clear data ownership confirmation hinders the advancement of data capitalization in construction enterprises; inadequate adaptability of accounting methodologies triggers practical operational risks; lagging legal systems exacerbate potential compliance hazards in engineering data security; and the risk of earnings manipulation threatens the financial stability of construction projects. In light of these issues, this paper proposes that the whole-process risk prevention and standardized governance of data asset capitalization for construction enterprises can be achieved through three core approaches: formulating a full-lifecycle operational guideline for data asset capitalization, improving the legal framework for data assets in the construction industry, and establishing a robust supervision and disclosure mechanism for engineering data.

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References

Peng, C. M. (2024). The Internal Mechanism and Development Path of Data Factorization. Administration Reform, (12), 49-58. https://doi.org/10.14150/j.cnki.1674-7453.2024.12.005.

Yang, Z. Q., Zhao, X. Y., Liao, W. Z., et al. (2024). Research on the Data Assetization Framework of Construction Enterprises Based on Intelligent Construction. Architecture Technology, 55(09), 1147-1152. https://doi.org/10.13731/j.jzjs.2024.09.1147.

Shi, X. Y. (2026). Financial Informatization Construction and Application for Financial Risk Control of Construction Enterprises. China Collective Economy, (02), 177-180. https://doi.org/10.20187/j.cnki.cn/11-3946/f.2026.02.038.

Cao, X., Xiao, H. Y., Jiang, Y. H. (2025). Analysis on the Collaborative Path of Enterprise Data Asset Capitalization in the Digital Economy Era. Finance and Accounting Monthly, 46(24), 44-50. https://doi.org/10.19641/j.cnki.42-1290/f.2025.24.006.

Du, M. J., & Dong, Y. (2024). Research on the Path of Data Asset Rights Protection for Chinese Enterprises. Finance and Accounting Monthly, 45(23), 123-128. https://doi.org/10.19641/j.cnki.42-1290/f.2024.23.018.

Zhang, J. X., Zhao, F. Y., Li, H., et al. (2023). Research on Improving the Digital Competitiveness of Construction Enterprises. Construction Economy, 44(12), 93-98. https://doi.org/10.14181/j.cnki.1002-851x.202312093.

Wang, H. C., & Zhao, Y. X. (2019). Supplier Selection of Construction Enterprises Based on BP Neural Network in the Big Data Environment. Journal of Civil Engineering and Management, 36(03), 27-33. https://doi.org/10.13579/j.cnki.2095-0985.20190531.001.

Sun, H. B. (2022). Research on the Design of Information Management System for Construction Enterprise Dispute Cases. Construction Economy, 43(04), 81-87. https://doi.org/10.14181/j.cnki.1002-851x.202204081.

Li, Q. (2025). Research on Construction Project Bidding Strategy Based on Big Data. Building Materials Development Guide, 23(22), 79-81. https://doi.org/10.16673/j.cnki.jcfzdx.2025.0980.

Yao, J. Q., & Wu, H. X. (2025). Practical Exploration of Enterprise Digital Transformation—An Exploratory Case Study Based on China Construction Fifth Engineering Bureau Co., Ltd. Hebei Enterprise, (11), 53-56. https://doi.org/10.19885/j.cnki.hbqy.2025.11.012.

Liu, S. Q. (2025). Research on Electrical Equipment Integration Technology in Construction Engineering Intellectualization. Urban Construction Theory Research (Electronic Edition), (27), 76-78. https://doi.org/10.19569/j.cnki.cn119313/tu.202527026.

Li, S. L. (2025, July 21). Construction of Financial Early Warning Model for Construction Enterprises Under the Background of Big Data and Its Application. China Industry News, (015). https://doi.org/10.28076/n.cnki.ncgyb.2025.000660.

Weihao S ,Xiaopeng D ,Haizhe Y , et al.(2025) A Multianalytical Approach to Identifying Influential Factors in Data Sharing among International Construction Enterprises.Journal of Construction Engineering and Management,151(11). https://doi.org/10.1061/JCEMD4.COENG-17029.

Guo X ,Zheng D ,Huang D , et al.(2025) Research on Influencing Factors of Digital Transformation of Construction Enterprises Based on SEM and fsQCA Methods.Buildings,15(18):3302-3302. https://doi.org/10.3390/BUILDINGS15183302.

Walter S .(2025) Estimating companies’ GHG emissions using information from individual financial accounts and building data.Statistical Journal of the IAOS,41(2):305-316. https://doi.org/10.1177/18747655251341456.