Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Credibility and computing technology
Communications of the ACM
Believe it or not: factors influencing credibility on the Web
Journal of the American Society for Information Science and Technology
Journal of Management Information Systems
Do online reviews matter? - An empirical investigation of panel data
Decision Support Systems
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Fraud detection in online consumer reviews
Decision Support Systems
Determinants of E-WOM influence: the role of consumers' internet experience
Journal of Theoretical and Applied Electronic Commerce Research
An examination of negative e-WOM adoption: Brand commitment as a moderator
Decision Support Systems
International Journal of Information Management: The Journal for Information Professionals
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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.