Research on Credit Evaluation Model and Algorithm for B2B e-Commerce

被引:2
|
作者
Piao, Chunhui [1 ]
Zhang, Changyou [2 ]
Han, Xufang [2 ]
An, Jing [3 ]
机构
[1] Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China
[2] Sch Comp & Informat Engn, Shijiazhuang Railway Inst, Shijiazhuang 050043, Peoples R China
[3] Shijiazhuang Vocat Technol Inst, Comp Engn Dept, Shijiazhuang 050043, Peoples R China
关键词
enterprise credit; B2B e-commerce; credit evaluation model; credit evaluation algorithm; BP network;
D O I
10.1109/ICEBE.2008.87
中图分类号
F [经济];
学科分类号
02 ;
摘要
Credit has been considered as one of the most important problems in e-commerce. There is less research on B2B e-commerce credit evaluation model and algorithm than C2C or B2C. A new enterprise credit evaluation model and algorithm for B2B e-commerce based on intermediate website is proposed It is assumed that an enterprise's credit in the B2B e-commerce environment is composed of basic credit and transaction credit, and detailed transaction data are available and can be accessed for credit evaluation purpose. According to the BP neural network principles, the models with 3 layers are established to evaluate quantitative-indicators-based credit. Compared with basic credit, an enterprise's transaction credit is more practical for its potential trading partners on intermediate B2B website. Experimental results demonstrate the effectiveness of the new credit evaluation model and algorithm.
引用
收藏
页码:606 / +
页数:2
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