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- Title
Exploring the Effectiveness of Seller Reputation Mechanism Using Online Sales Data.
- Authors
Ying Wang; Lei Huang; Yi Guo
- Abstract
This paper attempts to explore the effectiveness of the seller reputation mechanism by an empirical study using online sales data collected from TaoBao.com. A comparison analysis of seller reputation metrics of TaoBao, Amazon, and jd are carried out before the selection of the seller reputation metrics. The seller reputation metrics of small appliances are used as the input for the study considering the quality homogeneity among different sellers of the market, and the sales performance is measured by the sales amount of the recent month. The univariate analysis are performed to find out the effect of different seller reputation metrics on the sales performance, and the attribute selection technique is then applied to reveal the most significant factors contributing to the sales performance. The result indicates the significance of the user subjective assessment on the sales performance.
- Subjects
CHINA; EMPIRICAL research; INTERNET sales; TAOBAO.COM Inc.; AMAZON.COM Inc.; UNIVARIATE analysis; ELECTRONIC commerce
- Publication
Journal of Electronic Commerce in Organizations, 2014, Vol 12, Issue 2, p46
- ISSN
1539-2937
- Publication type
Article
- DOI
10.4018/jeco.2014040104