Research on C2C Credit Evaluation Model Based on Perceived Credibility of the Buyer

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Abstract:

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.

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4984-4989

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] China Internet Network Information Center 2012 China 's online shopping market research report. . http: /www. cnnic. net. cn/, 2013-03.

Google Scholar

[2] Li Cong, Ling ChangYong. Multi-dimensionality Reputation Evaluation model for C2C E-commerce. Chinese Journal of Managemen, 2012, (2): 204-211.

Google Scholar

[3] Jiang JinHu, Chen ZhiWu, Ren JieFeng. Empirical Study on the effects of perceived Reputation on purchase willing in C2C Electronic market. Soft science, 2011(6): 130-134.

Google Scholar

[4] Li ShengQi, Chen Kui. Research on Reputation Assessment Model of C2C Electronic Website. China Current Economics, 2010(6): 61-64.

Google Scholar

[5] Stephen S Standifird. Reputation and E- commerce, eBay Auctions and the Asymmetrical Impact of Positive and Negative Ratings . Journal of Management. 2007, 27( 3 ): 279 - 295.

DOI: 10.1177/014920630102700304

Google Scholar

[6] Ji ShuXian. The validity research of on line Reputation Management System in C2C Electronic Commerce. Cheng Du, Southwest Jiaotong University (2009).

Google Scholar

[7] Song GuangXing, Yang DeLi. On Some Problem s in the Design of On line Reputation Management System in Electronic Commerce. Systems Engineering. 2004(9): 5-9.

Google Scholar

[8] Qian Gao. web store image Based on the value of innovative: ShanDong: ShangDong University, (2012).

Google Scholar