The design and use of laboratory experiments for DSS evaluation
Decision Support Systems
The effect of negative buyer feedback on prices in Internet auction markets
ICIS '00 Proceedings of the twenty first international conference on Information systems
Trading partner trust in electronic commerce participation
ICIS '00 Proceedings of the twenty first international conference on Information systems
Consumer trust in an Internet store
Information Technology and Management
"Trust me, I'm an online vendor": towards a model of trust for e-commerce system design
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Key dimensions of business-to-consumer web sites
Information and Management
Empirical research in on-line trust: a review and critical assessment
International Journal of Human-Computer Studies - Special issue: Trust and technology
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
Avoiding ballot stuffing in eBay-like reputation systems
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
The roles of players and reputation: evidence from eBay online auctions
Decision Support Systems
A Trust Model for Consumer Internet Shopping
International Journal of Electronic Commerce
Online reputation systems: Design and strategic practices
Decision Support Systems
Systematic analysis of centralized online reputation systems
Decision Support Systems
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Reputation systems provide decision support for e-commerce. A shortcoming of existing systems is that all transactions are rated equally, and the impact of reputation systems for differently valued goods is not well understood. In an experiment, we study a heterogeneous good market. We find that the reputation system increases surplus by increasing transactions in the high value good. Allowing for heterogeneous goods reduces information, as buyers cannot determine whether the seller previously transacted in low/high value goods. We test a new system, which displays reputation separately for each good. We provide evidence that this additional information is utilized in decisions.