The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
How Does the Variance of Product Ratings Matter?
Open accessAbstract
This paper examines the informational role of product ratings. We build a theoretical model in which ratings can help consumers figure out how much they would enjoy the product. In our model, a high average rating indicates a high product quality, whereas a high variance of ratings is associated with a niche product, one that some consumers love and others hate. Based on its informational role, a higher variance would correspond to a higher subsequent demand if and only if the average rating is low. We find empirical evidence that is consistent with the theoretical predictions with book data from Amazon.com and BN.com. A higher standard deviation of ratings on Amazon improves a book's relative sales rank when the average rating is lower than 4.1 stars, which is true for 35% of all the books in our sample. This paper was accepted by Pradeep Chintagunta, marketing.
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Cited by
Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016) · Journal of Marketing Research · doi:10.1509/jmr.14.0380 · Cited by 1,073
Automated Text Analysis for Consumer Research
Humphreys, A., & Wang, R. J.-H. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx104 · Cited by 636
Competing with complementors: An empirical look at Amazon.com
Zhu, F., & Liu, Q. (2018) · Strategic Management Journal · doi:10.1002/smj.2932 · Cited by 546
Yin, D., Mitra, S., & Zhang, H. (2016) · Information Systems Research · doi:10.1287/isre.2015.0617 · Cited by 365
Kwark, Y., Chen, J., & Raghunathan, S. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.3.05 · Cited by 350
Metadata
- Authors
- Sun, M.
- Venue
- Management Science
- Published
- 2012-04
- Volume
- 58
- Issue
- 4
- Pages
- 696-707
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2099113722
- Cited by
- 663
- References
- 3
- FWCI
- 43.50
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
