Research on credit risk evaluation of B2B platform supply chain financing enterprises based on improved TOPSIS Online publication date: Wed, 22-Mar-2023
by Hong Zhang; Yuan Chen; Xiyue Yan; Han Deng
International Journal of Computational Science and Engineering (IJCSE), Vol. 26, No. 2, 2023
Abstract: This paper establishes a credit evaluation index system for B2B platform supply chain financing enterprises, which consists of four levels: B2B platform, supply chain financing enterprises, core enterprises and supply chain collaboration. Taking 24 samples of supply chain financing enterprises listed on GEM from six well-known B2B platforms in China as the research objects, the credit risk of supply chain financing enterprises on B2B platform is dynamically evaluated by using the improved TOPSIS method incorporating time dimension. The research shows that the strong comprehensive strength of core enterprises, close supply chain collaboration and good credit status of enterprises themselves have a favourable impact on the credit evaluation of supply chain financing of enterprises; high-quality B2B platform is beneficial for enterprises to carry out supply chain financing and attract more high-quality supply chain enterprises to cooperate.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook