Self-Selection and Information Role of Online Product Reviews

Xinxin Li () and Lorin M. Hitt ()
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Xinxin Li: School of Business, University of Connecticut, Storrs, Connecticut 06269
Lorin M. Hitt: The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Information Systems Research, 2008, vol. 19, issue 4, 456-474

Abstract: Online product reviews may be subject to self-selection biases that impact consumer purchase behavior, online ratings' time series, and consumer surplus. This occurs if early buyers hold different preferences than do later consumers about the quality of a given product. Readers of early product reviews may not successfully correct for these preference differences when interpreting ratings and making purchases. In this study, we develop a model that examines how idiosyncratic preferences of early buyers can affect long-term consumer purchase behavior as well as the social welfare created by review systems. Our model provides an explanation for the structure of product ratings over time, which we empirically test using online book reviews posted on Amazon.com. Our analysis suggests that firms could benefit from altering their marketing strategies such as pricing, advertising, or product design to encourage consumers likely to yield positive reports to self-select into the market early and generate positive word-of-mouth for new products. On the other hand, self-selection bias, if not corrected, decreases consumer surplus.

Keywords: online product reviews; self-selection; consumer heterogeneity; herding (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (254)

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