Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Communications of the ACM
Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
The effect of negative buyer feedback on prices in Internet auction markets
ICIS '00 Proceedings of the twenty first international conference on Information systems
Collaborative reputation mechanisms for electronic marketplaces
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
C2C Versus B2C: A Comparison of the Winner's Curse in Two Types of Electronic Auctions
International Journal of Electronic Commerce
Bidding Behavior in On-line Auctions: An Examination of the eBay Pokemon Card Market
International Journal of Electronic Commerce
Consumer and Business Deception on the Internet: Content Analysis of Documentary Evidence
International Journal of Electronic Commerce
Research Note---How Often Should Reputation Mechanisms Update a Trader's Reputation Profile?
Information Systems Research
Social Science Computer Review
Determinants of online merchant rating: Content analysis of consumer comments about Yahoo merchants
Decision Support Systems
International Journal of Electronic Commerce
International Journal of Electronic Commerce
A Framework for Reputation Management in Large-Scale Distributed Systems
Computer Supported Cooperative Work in Design IV
E-auction web assessment model in China
Electronic Commerce Research
Estimating Time Required to Reach Bid Levels in Online Auctions
Journal of Management Information Systems
Reputation inflation detection in a Chinese C2C market
Electronic Commerce Research and Applications
Internet Auction Fraud Detection Using Social Network Analysis and Classification Tree Approaches
International Journal of Electronic Commerce
Bidding strategies in online single-unit auctions: Their impact and satisfaction
Information and Management
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This study presents a conceptual framework for determining what factors affect the likelihood of disputes in e-commerce. It hypothesizes that disputes decrease as seller and buyer reputation and experience increase, and further that the likelihood of disputes is contingent on product price, payment method, and amount of information about the product. The empirical model is tested using five goods and services. The results indicate that reputation mechanisms deter the undesirable behavior that can lead to disputes, that experienced users are less likely to be involved in disputes than inexperienced ones, that consumer-to-consumer transactions are more likely to result in disputes than transactions between businesses, and that transactions in services are more likely to result in disputes than those in goods. The implications for auction sites include the possibility for tracking disputes and improving reputation mechanisms by incorporating information about product types, payment methods, and prices.