Towards an optimal resolution to information overload: an infomediary approach
GROUP '01 Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Regret avoidance as a measure of DSS success: An exploratory study
Decision Support Systems
Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites
Information Systems Research
Journal of Management Information Systems
Consumer Search and Retailer Strategies in the Presence of Online Music Sharing
Journal of Management Information Systems
Weblogging: A study of social computing and its impact on organizations
Decision Support Systems
Design science in information systems research
MIS Quarterly
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Peer endorsement systems (PES), systems for the collection and presentation of online product reviews represent a new and increasingly common sight on many e-Commerce websites. The number of reviews and scope of data presentation made possible by PESs pose demands on the information processing abilities of a typical customer. This study posits that differences in PES design based on quality and presentation of online customer reviews can impact user perceptions about whether they are getting "the whole story" about a product. Drawing on economic regret theory, we develop a theoretical model to test the impact of PES design on consumer's decision confidence and post-choice regret. We conduct an expost experimental analysis of two competing PES interfaces and show that key differences in PES design have a surprising and relevant impact on the way in which data from that interface is perceived and used by customers in the online decision-making process.