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Marketing Science
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Journal of Management Information Systems
Do online reviews affect product sales? The role of reviewer characteristics and temporal effects
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The effect of negative online consumer reviews on product attitude: An information processing view
Electronic Commerce Research and Applications
Do online reviews matter? - An empirical investigation of panel data
Decision Support Systems
Identifying influential reviewers for word-of-mouth marketing
Electronic Commerce Research and Applications
Deriving the Pricing Power of Product Features by Mining Consumer Reviews
Management Science
Information Systems Research
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This study analyzes the value of retailer-and third-party hosted WOM by investigating how WOM valences and volumes of multiple sources interact with one other to influence retailer sales. Consumer opinions, experiences, and product recommendations posted on online WOM sites have become a major information source for consumer purchase decisions. Previous literature shows that WOM information can influence retailer sales in two ways - volume and valence, but most researchers investigate these two WOM effects separately. In reality, consumers evaluate volumes and valences jointly from multiple WOM sources for their purchase decisions. That is, there would be an interaction effect between them. Therefore, this study investigates how WOM valences and volumes at both retailer and third-party review web sites interact with one other to influence retailer sales. We collect sales rank data for 145 camera products from Amazon for a period of four months, and the corresponding online review data from Amazon and CNet for the same period. Our analysis shows that WOM valence is positively interacted with its own volume at both sources. We also find that retailer-hosted WOM valence is negatively interacted with third party-hosted WOM volume. Our findings indicate the importance of considering interaction effect between WOM sources.