Comparative study on C2C e-commerce credit evaluation system

Abstract

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.