scholarly journals Consumer credit evaluation model in C2C e-commerce using MCOC methods

Author(s):  
Shuang Chen ◽  
Hong-Yun Gao ◽  
Dan Li ◽  
Fan-Yun Meng
2011 ◽  
Vol 361-363 ◽  
pp. 1499-1505 ◽  
Author(s):  
Li Mei Liu ◽  
Heng Qian ◽  
Yong Chao Gao ◽  
Ding Wang

In China, quality credit is an important part of the social credit system, and evaluation of quality credit is the key to the construction of quality credit system. In this paper, on the basis of product quality credit factor analysis and evaluation index construction, a hybrid strategy of three stages is proposed according to the different nature of indicators. The emphasis is put on intelligent evaluation model based on statistics and artificial neural network. According to the results of experimental verification, this credit evaluation method shows a high accuracy for the evaluation of quality credit.


2014 ◽  
Vol 687-691 ◽  
pp. 4984-4989
Author(s):  
Chen Xing Bai

Focusing on the lack of credit scoring system and credit evaluation model, the paper builds <qualitative perception, quantitative perception> reputation tuple based on perceived credibility of the buyer. Qualitative perception is six indicators assembly, including shop image, customer communication, payment, whether to join the consumer protection service , whether to join the Commercial Union and feedback comment; Quantitative perception is three indicators assembly, including buyer credit , the transaction value of the goods and evaluation time. Through analyzing of the case, reputation tuple can be more objective, more scientific, more comprehensive response to the seller's real credibility.


Author(s):  
Seema U. Purohit, ◽  
Venkatesh Mahadevan ◽  
Anjali N. Kulkarni

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