TY - JOUR
T1 - Reputation distribution and consumer-to-consumer online auction market structure
T2 - An exploratory study
AU - Lin, Zhangxi
AU - Li, Dahui
AU - Janamanchi, Balaji
AU - Huang, Wayne
PY - 2006/1
Y1 - 2006/1
N2 - 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.
AB - 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.
KW - Entry and exit
KW - Gibrat's law
KW - Lognormal distribution
KW - Market structure
KW - Online auction market
KW - Reputation
UR - http://www.scopus.com/inward/record.url?scp=29144433962&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=29144433962&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2004.07.006
DO - 10.1016/j.dss.2004.07.006
M3 - Article
AN - SCOPUS:29144433962
SN - 0167-9236
VL - 41
SP - 435
EP - 448
JO - Decision Support Systems
JF - Decision Support Systems
IS - 2
ER -