The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Abstract
We analyze how online reviews are used to evaluate the effectiveness of product differentiation strategies based on the theories of hyperdifferentiation and resonance marketing. Hyperdifferentiation says that firms can now produce almost anything that appeals to consumers and they can manage the complexity of the increasingly diverse product portfolios that result. Resonance marketing says that informed consumers will purchase products that they actually truly want. When consumers become more informed, firms that provide highly differentiated products should experience higher growth rates than firms with less differentiated offerings. We construct measures of product positioning based on online ratings and find supportive evidence using sales data from the craft beer industry. In particular, we find that the variance of ratings and the strength of the most positive quartile of reviews play a significant role in determining which new products grow fastest in the market-place. This supports our expectations for resonance marketing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Cited by
The impact of electronic word-of-mouth communication: A literature analysis and integrative model
Cheung, C. M. K., & Thadani, D. R. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.06.008 · Cited by 2,005
What makes a useful online review? Implication for travel product websites
Liu, Z., & Park, S. (2015) · Tourism Management · doi:10.1016/j.tourman.2014.09.020 · Cited by 963
Park, D.-H., & Kim, S. (2008) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.12.001 · Cited by 837
Zhang, Z., Ye, Q., Law, R., & Li, Y. (2010) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2010.02.002 · Cited by 760
Hsu, C.-L., & Lin, J. C.-C. (2015) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2014.11.003 · Cited by 662
Metadata
- Authors
- Clemons, E. K., Gao, G. G., & Hitt, L. M.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2006-10
- Volume
- 23
- Issue
- 2
- Pages
- 149-171
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2169955073
- Cited by
- 827
- References
- 1
- FWCI
- 59.94
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry. https://app.cochat.ai/papers/10.2753/mis0742-1222230207
- The paper
- Clemons, E. K., Gao, G. G., & Hitt, L. M. (2006). When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry. Journal of Management Information Systems. https://doi.org/10.2753/mis0742-1222230207
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.
