Analysis of Focal Information of Individuals: Gaming Approach to C2C Market
To analyze the effect of reputation management systems for promoting cooperative behavior in a C2C market, we developed a virtual C2G market system and experimented with participants to analyze transaction and information behaviors. According to the result of our experiment, we found that over 80% of participants behaved cooperatively. However, some participants accumulated high reputation in the early round of the experiment, and then exploited cooperative participants with the high reputation and defective action. The result indicates existence of vulnerability of reputation management system. Based on analysis of information behavior, we also found that cooperative participants often referred the number of defects and duration of ID unchanged. The result indicates cooperative participants prefer risk adverse to choose trustful others to make deal.
KeywordsCooperative Behavior Payoff Matrix High Reputation Reputation Score Information Behavior
Unable to display preview. Download preview PDF.
- 3.Dellarocas, C., “Immunizing Online Reputation Reporting Systems against Unfair Ratings and Discriminatory Behavior”, Proceedings of the 2nd ACM Conference on Electronic Commerce, pp. 17–20, 2000.Google Scholar
- 4.Kollock, P., “The Production of Trust in Online Markets”, Advances in Group Processes, Vol.16, pp.99–123, 1999.Google Scholar
- 6.Resnick, P. and Zeckhauser, R., “Trust among strangers in internet transactions: Empirical analysis of eBay’s reputation system”, Technical report, University of Michigan, 2001.Google Scholar
- 7.Rice, S.,“Online Reputations with Noisy Transactions: An Experimental Study”, 2004 Workshop on Information Systems and Economics.Google Scholar