Research on Utility Analysis and Risk Prediction of Economic Management of Construction Enterprises in Digital Economy

This paper determines the evaluation index system of economic management utility and prediction of construction enterprises based on the theory of sustainable development of the construction industry, the theory of economics, and the principle of construction of evaluation index system. Information entropy and fuzzy evaluation are used to measure the economic management utility of construction enterprises in the digital economy. And the economic management risk aspect is analyzed by BP neural network model for prediction. After analyzing, the comprehensive evaluation results of the economic management utility of the construction enterprise [3.9848, 3.2449, 1.2547, 0.5276, 0.9895] indicate that the economic management utility of the construction enterprise is in the excellent. Based on the results of risk prediction of economic management of the construction enterprise ( R 2 = 0.9842), it was confirmed that the model has a good ability to predict the risk of economic management. The results of the study make the economic management of construction enterprises better guaranteed and stabilize the development of the regional basic economy to a certain extent.

Authors

Publication Details

Journal
International journal for housing science and its applications.
Published
2024-12-18
DOI
https://doi.org/10.70517/ijhsa4542
Citations
1
Primary Topic
Educational Reforms and Innovations
Type
article
Field-Weighted Citation Impact
0.31

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article

Research on Utility Analysis and Risk Prediction of Economic Management of Construction Enterprises in Digital Economy

Lijun Tang
1 citations
International journal for housing science and its applications.
Educational Reforms and Innovations
0.31
article

Research on Utility Analysis and Risk Prediction of Economic Management of Construction Enterprises in Digital Economy

Lijun Tang
article en
1 citations

Abstract

This paper determines the evaluation index system of economic management utility and prediction of construction enterprises based on the theory of sustainable development of the construction industry, the theory of economics, and the principle of construction of evaluation index system. Information entropy and fuzzy evaluation are used to measure the economic management utility of construction enterprises in the digital economy. And the economic management risk aspect is analyzed by BP neural network model for prediction. After analyzing, the comprehensive evaluation results of the economic management utility of the construction enterprise [3.9848, 3.2449, 1.2547, 0.5276, 0.9895] indicate that the economic management utility of the construction enterprise is in the excellent. Based on the results of risk prediction of economic management of the construction enterprise ( R 2 = 0.9842), it was confirmed that the model has a good ability to predict the risk of economic management. The results of the study make the economic management of construction enterprises better guaranteed and stabilize the development of the regional basic economy to a certain extent.

International journal for housing science and its applications.Vol. 45(4)
Anhui University
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Educational Reforms and Innovations
0.31
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