| | |  | | | | Record from Web of Science® | | | | | | |
| Reputation distribution and consumer-to-consumer online auction market structure: an exploratory study |
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| Author(s): Lin ZX, Li DH, Janamanchi B, Huang W |
| Source: DECISION SUPPORT SYSTEMS Volume: 41 Issue: 2 Pages: 435-448 Published: JAN 2006 |
| Times Cited: 9 References: 30 |
| 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. (c) 2004 Elsevier B.V. All rights reserved. |
| Document Type: Article |
| Language: English |
| Reprint Address: Lin, ZX (reprint author), Texas Tech Univ, Rawls Coll Business Adm, Lubbock, TX 79409 USA |
Addresses:
1. Texas Tech Univ, Rawls Coll Business Adm, Lubbock, TX 79409 USA
2. Univ Minnesota, Labovitz Sch Business & Econ, Duluth, MN 55812 USA
3. Ohio Univ, Coll Business, Dept MIS, Athens, OH 45701 USA |
| Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
| Subject Category: Computer Science, Artificial Intelligence; Computer Science, Information Systems; Operations Research & Management Science |
| IDS Number: 000GV |
| ISSN: 0167-9236 |
| DOI: 10.1016/j.dss.2004.07.006 |
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