Research on Data-driven Enterprise Credit Evaluation and Application

Lan  Sun; Wenqi Jiang

doi:10.54097/hbem.v9i.9081

Authors

Lan Sun
Wenqi Jiang

DOI:

https://doi.org/10.54097/hbem.v9i.9081

Keywords:

Data-driven; Enterprise Credit; Evaluate.

Abstract

Enterprise credit evaluation is an important indicator in the process of enterprise development, which has an important impact on enterprises' access to external financing and reputation. This paper fully considered the existing credit evaluation index system, combined with the data-driven environment, designed the enterprise credit evaluation index system with three dimensions of financial, social and moral; Secondly, the combination weighting method is used to design the weights and the VIKOR method is used for evaluation; Finally, a case illustrates the application effectiveness of the method.

Downloads

Download data is not yet available.

References

Liu Jie, Guo Tingwei. Research on credit evaluation of scientific and technological start-ups based on BP neural network [J] Modern Commerce and Trade Industry, 2015, 36 (23): 62-64.

Wu Jinju.Construction of credit evaluation index system for small and medium-sized enterprises based on tax information [J] Journal of Social Sciences of Harbin Normal University, 2018, 9 (2): 86-89.

Han Qin. Construction of SME credit risk evaluation index system from the perspective of supply chain finance [J] Times Finance, 2019, No. 727 (9): 177-178.

Lai X, Liu J, Georgiev G. Low carbon technology integration innovation assessment index review based on rough set theory --An evidence from construction industry in China[J]. Journal of Cleaner Production, 2016, 126: 88-96.

Zhu Qingxiang, Xu Nan, Liu Tingyu.Research on the membership vector discrimination of dynamic indicators of credit evaluation of agriculture-related enterprises [J] Practice and Understanding of Mathematics, 2017, 47 (9): 57-63.

Jiang Manman. Research on enterprise credit risk evaluation from the perspective of supply chain finance [J] Operation and Management, 2017 (2): 140-142.

Zhao Lili, Wang Xueqing, Chen Chao.Supervision engineer credit evaluation under interval intuitionistic fuzzy information [J] Operations Research and Management, 2018, 27 (1): 125-131.

Xiao Binqing, Yang Yang, Li Xindan, Li Haohua. Research on credit rating of small and micro enterprises based on fuzzy neural network [J]. Journal of Management Science, 2016,19 (11): 114-126.

Li Tiantian.Research on enterprise science and technology credit rating method based on data association analysis [J] Science and Education Guide, 2017 (1): 175-176.

Shi Baofeng, Liu Feng, Wang Jianjun, Chi Guotai. Credit rating model and empirical analysis of merchant microloans based on PROMETHEE-II [J]. Operation Research and Management, 2017,26 (9): 137-147.

Zhang Ke, Liang Yuqin, Xue Song, Hu Leichuang. Calculation of credit evaluation weight of construction enterprises from the perspective of cross-correlation [J]. Statistics and Decision, 2018,34 (10): 178-182.

Meng Bin, Yang Yue, Diao Shujie. Research on credit evaluation model of small construction enterprises based on distinguishing two types of customers [J]. System Engineering Theory and Practice, 2019, 39 (2): 346-359.