V
Vishal Narayan
Researcher at National University of Singapore
Publications - 15
Citations - 588
Vishal Narayan is an academic researcher from National University of Singapore. The author has contributed to research in topics: Product (category theory) & Social influence. The author has an hindex of 9, co-authored 14 publications receiving 458 citations. Previous affiliations of Vishal Narayan include Saint Petersburg State University & Cornell University.
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Journal ArticleDOI
Modeling Consumer Learning from Online Product Reviews
TL;DR: In this article, a structural model was proposed to study the effect of online product reviews on consumer purchases of experiential products, and the authors found that consumers learn more from online reviews of book titles than from their own experience with other books of the same genre.
Posted Content
How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism
TL;DR: It is found that when faced with information on peer choices, consumers update their attribute preferences in a Bayesian manner, which suggests that greater uncertainty in the attribute preferences of a focal consumer and lesser uncertainty in preferences of peers both lead to greater preference revision.
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The Effect of Calorie Posting Regulation on Consumer Opinion: A Flexible Latent Dirichlet Allocation Model with Informative Priors
TL;DR: A scalable Bayesian topic model is proposed to measure and understand changes in consumer opinion about health (and other topics) and calibrate the model on 761,962 online reviews of restaurants posted over eight years.
Journal ArticleDOI
How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism
TL;DR: In this paper, a two-stage conjoint-based approach was proposed to examine three behavioral mechanisms of peer influence, and the authors found that when faced with information on peer choices, consumers update their attribute preferences in a Bayesian manner.
Journal ArticleDOI
Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model
TL;DR: In this article, a Bayesian estimation approach was proposed to estimate the potential asymmetry in the preference interdependence among family members in a more flexible way, and they found that wives' viewing behavior depends more strongly on their husbands' viewing behaviour than husbands' watching behavior depends on their wives' watching behaviour.