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Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data

Tao Meng, Qi Li, Zheng Dong, Feifei Zhao

Source Title: Journal of Organizational and End User Computing (JOEUC)34(3)

ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781799893264|DOI: 10.4018/JOEUC.289223

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MLA

Meng, Tao, et al. "Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data." JOEUC vol.34, no.3 2022: pp.1-16. http://doi.org/10.4018/JOEUC.289223

APA

Meng, T., Li, Q., Dong, Z., & Zhao, F. (2022). Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data. Journal of Organizational and End User Computing (JOEUC), 34(3), 1-16. http://doi.org/10.4018/JOEUC.289223

Chicago

Meng, Tao, et al. "Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data," Journal of Organizational and End User Computing (JOEUC) 34, no.3: 1-16. http://doi.org/10.4018/JOEUC.289223

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Abstract

The study aims to establish a platform-based enterprise credit supervision mechanism, and combined with big data, accurately evaluate the credit assets of enterprises under the influence of social stability risk, and improve the ability of enterprises to deal with risks. Using descriptive statistical methods, the study shows that most local enterprises exist in the form of micro loans, which promotes the development of local economy to a certain extent, but it is a vicious cycle of economic development; The overall prediction accuracy of the single enterprise risk assessment model under the influence of social stability risk is 65%. Compared with the single algorithm, the prediction accuracy of the integrated algorithm model is significantly improved, and the prediction accuracy can reach 83.5%, the standard deviation of data prediction is small, and the stability of the model is high.