c2c电子商务信用评价模型分析与实现word格式论文.docxVIP

c2c电子商务信用评价模型分析与实现word格式论文.docx

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c2c电子商务信用评价模型分析与实现word格式论文

优秀毕业论文 精品参考文献资料 Abstract The improvement of Electronic payments, logistics system, broadband infrastructure bring new opportunities for the development of E-commerce, but the E-commerce credit problems and the vicious competition between sellers and customer also gradually increased, and the perfection of relevant laws and regulations relative arelagged, which brings a great credit risk and transaction risk to the consumers. Establishing perfect credit evaluation system plays an important role in urging the customer and sellers to trade honestly, and it is very important to construct healthy and sustainable E-business ecosystem. A starting point of the Paper is the development of E-commerce, we then analyse the current credit problems, such as credit asymmetric intensifies, Internet fraud, etc, and points out some defects of the existing credit evaluation system, the calculation of credit value does not consider the customers initial credit value, credit terms do not associated with trading amount, the efficiency of the credit value and credit evaluation is lack of hierarchy, just simple accumulation of points. The paper proposes E-commerce evaluation system based on the latest data by CNNIC and iResearch, analyzes the influence of E-commerce consumers and merchants trust of the most critical factors in the trade and consumer shopping on the main factors, put forward the construction of credit evaluation model of credit assessment index, and uses hierarchical weighted decision to give the weight of each indicator gives a reasonable, then established based on fuzzy comprehensive evaluation of the C2C E-commerce credit evaluation model, the new model considering the initial buyers credit value and t rading value of high and low and the efficiency of the credit value. With the rapid development of E-commerce, considering the factors that affect trust and credit evaluation change constantly, and the evaluation indexes were weighted high or low, the new model give

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