Comparative study on C2C e-commerce credit evaluation system

Credit problem is the main bottleneck which hinders the development of e-commerce. Credit evaluation system is the credibility backbone of e-commerce website, which sets up a standard for inspecting the sellers´ credit and makes an important reference for consumers shopping. Based on the rule of combining mathematics and psychology, this paper analyzes the current representative C2C credit evaluation system of Taobao, e-Bay and Paipai, and builds a hierarchical model by AHP, exploring how to establish the C2C e-commerce credit evaluation system effectively. This paper, by comparing functionalities of c2c e-commerce systems, attempts to provide theoretical basis for improved research of C2C credit evaluation system. Therefore, it can provide the reference for enterprises and the users´ trade decision.