The Credit Risk Assessment Model of Internet Supply Chain Finance: Bayesian Networks Model Based on Relative Weight

DOI

10.2991/febm-16.2016.8How to use a DOI?

Keywords

credit risk assessment model; relative weights; Bayesian Networks

Abstract

In this study, we first design a credit risk evaluation index of Internet Supply Chain Finance from the perspective of electronic commerce enterprises. Then, we determine the relative weights of variables in logistic regression. After that, we construct a credit risk assessment model based on the relative weights and the basic thought of Bayesian Networks. Finally, we perform a comparative analysis of a specific case using logistic regression model and Bayesian Networks based on relative weights. The findings of this study reveal that Bayesian Networks based on relative weights may have a higher accuracy in assessing the credit risk level of small and medium sized enterprises in Internet Supply Chain Finance.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Baoyu Zhong
AU  - Yueliang Su
PY  - 2016/11
DA  - 2016/11
TI  - The Credit Risk Assessment Model of Internet Supply Chain Finance: Bayesian Networks Model Based on Relative Weight
BT  - Proceedings of the First International Conference Economic and Business Management 2016
PB  - Atlantis Press
SP  - 46
EP  - 52
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-16.2016.8
DO  - 10.2991/febm-16.2016.8
ID  - Zhong2016/11
ER  -