Title :
Credit Risk Measurement on Customers of B2B Market
Author :
Yuan, Jun ; Yang, Cheng
Author_Institution :
Sch. of Manage., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
By selecting customers´ credit risk indicators of the domestic textile industry on the electronic trading market in China and using factor analysis method, clustering method, and ordered-logit model, it can be concluded that the comprehensive evaluation of customers´ credit status is measured scientifically in B2B market. Therefore, customers´ credit risk management is made effectively in accordance with the rating results.
Keywords :
electronic commerce; financial management; pattern clustering; risk management; textile industry; B2B market; China; clustering method; credit risk measurement; customers credit risk indicator selection; customers credit status evaluation; domestic textile industry; electronic trading market; factor analysis method; ordered-logit model; Analytical models; Data mining; Educational institutions; Finance; Investments; Profitability; Risk management; B2B market; clustering analysis; customers´ credit risk measurement; factor analysis; ordered-logit model;
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4469-2
DOI :
10.1109/BCGIN.2012.28
