Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Application of Fintech in Supply Chain Financial Risk Control

Authors
Feng Chen1, *
1Zhejiang College of Security Technology, Wenzhou, China
*Corresponding author. Email: boychener@163.com
Corresponding Author
Feng Chen
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_90How to use a DOI?
Keywords
fintech; supply chain financial; credit risk
Abstract

Supply chain finance has played an important role in solving the problems of difficult and expensive financing for small and medium-sized enterprises. The biggest risk point of supply chain finance is credit risk under incomplete information and moral hazard under asymmetric information. To prevent and defuse supply chain financial risks, it is necessary to actively use financial technology means such as big data, Internet of Things, blockchain, and artificial intelligence to improve the risk management capabilities of supply chain finance. By analyzing the risks faced by supply chain finance, this paper takes the supply chain finance model based on B2B platform as an example, uses the Logistic regression method to build a credit evaluation model for small and medium enterprises, conducts an empirical study on the construction of supply chain finance risk control system, and constructs a possible A trust, low-risk, high-efficiency intelligent supply chain financial service framework.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_90How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Feng Chen
PY  - 2022
DA  - 2022/12/30
TI  - Application of Fintech in Supply Chain Financial Risk Control
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 809
EP  - 817
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_90
DO  - 10.2991/978-94-6463-108-1_90
ID  - Chen2022
ER  -