Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
552804 | Decision Support Systems | 2006 | 14 Pages |
Abstract
The rapid growth of the consumer-to-consumer online auction market demands research into its market structure and future trends. We propose that online reputation is becoming an important indicator of online traders' business capacity in the auction market. Based on the data sampled from eBay.com, we find that seller reputation, rather than buyer reputation, is lognormally distributed. Following Gibrat's law and the theory of firm's entry and exit, we further explore the reputation data to study the dynamics of the online market. Implications of the findings are discussed.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Zhangxi Lin, Dahui Li, Balaji Janamanchi, Wayne Huang,