Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites
Information Systems Research
Using Online Conversations to Study Word-of-Mouth Communication
Marketing Science
Do online reviews affect product sales? The role of reviewer characteristics and temporal effects
Information Technology and Management
Do online reviews matter? - An empirical investigation of panel data
Decision Support Systems
Determinants of online merchant rating: Content analysis of consumer comments about Yahoo merchants
Decision Support Systems
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
New Product Diffusion with Influentials and Imitators
Marketing Science
Firm-Created Word-of-Mouth Communication: Evidence from a Field Test
Marketing Science
The Sound of Silence: Observational Learning in the U.S. Kidney Market
Marketing Science
Opinion Leadership and Social Contagion in New Product Diffusion
Marketing Science
Online Product Opinions: Incidence, Evaluation, and Evolution
Marketing Science
The groupon effect on yelp ratings: a root cause analysis
Proceedings of the 13th ACM Conference on Electronic Commerce
Online Product Opinions: Incidence, Evaluation, and Evolution
Marketing Science
Modeling Consumer Learning from Online Product Reviews
Marketing Science
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Proceedings of the 22nd international conference on World Wide Web
Instant foodie: predicting expert ratings from grassroots
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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We investigate the evolution of online ratings over time and sequence. We first establish that there exist two distinct dynamic processes, one as a function of the amount of time a book has been available for review and another as a function of the sequence of reviews themselves. We find that, once we control for calendar date, the residual average temporal pattern is increasing. This is counter to existing findings that suggest that without this calendar-date control, the pattern is decreasing. With respect to sequential dynamics, we find that ratings decrease: the nth rating is, on average, lower than the n-1th when controlling for time, reviewer effects, and book effects. We test and find some support for existing theories for this decline based on motivation. We then offer two additional explanations for this “order effect.” We find support for the idea that one's ability to assess the diagnosticity of previous reviews decreases: when previous reviewers are very different, more reviews may thus lead to more purchase errors and lower ratings.