Article ID Journal Published Year Pages File Type
552252 Decision Support Systems 2012 13 Pages PDF
Abstract

Most B2C websites provide consumers with two types of electronic Word-of-Mouth (eWOM) information, namely aggregated rating and individual review. The present research investigates the effects of a conflicting aggregated rating on the perceived credibility and diagnosticity of individual reviews. The results of our laboratory experiment demonstrate that the presence of a conflicting aggregated rating will decrease review credibility and diagnosticity via its negative effect on consumers' product-related attributions of the review. In addition, these effects are more salient for positive reviews than for negative ones. These findings contribute to a better understanding of the interactions between different types of eWOM information and provide practitioners with actionable suggestions on how to improve the design of their eWOM systems.

► There are two types of eWOM information: aggregated rating and individual reviews. ► A conflicting aggregated rating negatively affects product-related attributions of a review. ► The effect of conflicting aggregated rating is more salient for positive reviews than for negative ones. ► Attribution mediates the effects of conflicting aggregated rating on review diagnosticity and credibility.

Related Topics
Physical Sciences and Engineering Computer Science Information Systems
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