2018
DOI: 10.1509/jm.16.0326
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Swayed by the Numbers: The Consequences of Displaying Product Review Attributes

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Cited by 7 publications
(11 citation statements)
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“…When it comes to consumer ratings, a similar empirical regularity is observed: consumers seem to have greater regard for products with a greater number of reviews (Floyd et al [2014], You et al [2015], Watson et al [2018]). In this case, the puzzle is deeper since the explanation in Caminal and Vives [1996] seems to fail: if consumers have direct information regarding quality (average quality ratings) what additional information can the number of reviews contain?…”
Section: B "Observational" Learning: the Number Of Reviewsmentioning
confidence: 66%
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“…When it comes to consumer ratings, a similar empirical regularity is observed: consumers seem to have greater regard for products with a greater number of reviews (Floyd et al [2014], You et al [2015], Watson et al [2018]). In this case, the puzzle is deeper since the explanation in Caminal and Vives [1996] seems to fail: if consumers have direct information regarding quality (average quality ratings) what additional information can the number of reviews contain?…”
Section: B "Observational" Learning: the Number Of Reviewsmentioning
confidence: 66%
“…Also seeFloyd et al [2014],You et al [2015],Watson et al [2018] and citations there in for a discussion of how consumer trade off the average and the volume of ratings. Appendix B in my paper offers a complementary perspective.…”
mentioning
confidence: 99%
“…Thus, our sample of online subjects are recruited through Amazon Mechanical Turk (MTurk) crowdsourcing marketplace (Buhrmester et al , 2011; Paolacci and Chandler, 2014; Kees et al , 2017; Zhu et al , 2018). MTurk is commonly used in supply chain and marketing studies interested in a target population of online consumers (Gawor and Hoberg, 2019; Duan and Aloysius, 2019; Ma, 2017; Murfield et al , 2017; Peinkofer et al , 2015, 2016; Ta et al , 2018; Watson et al , 2018). For example, Ta et al (2018) use a sample recruited via MTurk to investigate delivery driver disclosure and ethnicity on consumer service quality expectations and attitude toward retailer.…”
Section: Methodsmentioning
confidence: 99%
“…As a result, both practitioners and academics have shown a keen interest in investigating the factors that influence consumers’ online shopping behavior. Extant literature indicates that online review information plays a crucial role in online products sales (Watson et al , 2018). Among the various components of online reviews, valence (ratings of a product) and volume (number of reviews available for a product) are considered especially salient and impactful characteristics.…”
Section: Introductionmentioning
confidence: 99%