The comparison and analysis of seller's credit rating influence factors in e-commerce

Electronic commerce is the fastest growing trade method especially in China. Online shopping is becoming a large part of commercial activities. In the C2C transactions, the seller's credit factors on the impact of successful trading are also become important. In this paper, we take the largest online trading platform of China for example, by analyzing the impact of the credit to determine the relevant factors. The entropy method is applied to the questionnaire analysis, and finally gets a sort of impact factors' importance by statistical calculation, which provided an effective reference method for choosing the appropriate credit evaluation index.