The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
How Online Product Reviews Affect Retail Sales: A Meta-analysis
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
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Culture and the self: Implications for cognition, emotion, and motivation.
Markus, H. R., & Kitayama, S. (1991) · Psychological Review · doi:10.1037/0033-295x.98.2.224 · Cited by 21,995
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001) · Review of General Psychology · doi:10.1037/1089-2680.5.4.323 · Cited by 7,678
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
Rethinking individualism and collectivism: Evaluation of theoretical assumptions and meta-analyses.
Oyserman, D., Coon, H. M., & Kemmelmeier, M. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.1.3 · Cited by 5,758
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
The Influence of Source Credibility on Communication Effectiveness
Hovland, C. I., & Weiss, W. (1951) · Public Opinion Quarterly · doi:10.1086/266350 · Cited by 3,543
Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market
Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006) · Science · doi:10.1126/science.1121066 · Cited by 2,231
Negativity and extremity biases in impression formation: A review of explanations.
Skowronski, J. J., & Carlston, D. E. (1989) · Psychological Bulletin · doi:10.1037/0033-2909.105.1.131 · Cited by 1,550
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
The effect of characteristics of source credibility on consumer behaviour: A meta-analysis
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.005 · Cited by 504
Influence of consumer reviews on online purchasing decisions in older and younger adults
von Helversen, B., Abramczuk, K., Kopeć, W., & Nielek, R. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.05.006 · Cited by 263
Measuring and Managing Consumer Sentiment in an Online Community Environment
Homburg, C., Ehm, L., & Artz, M. (2015) · Journal of Marketing Research · doi:10.1509/jmr.11.0448 · Cited by 196
Hajek, P., Barushka, A., & Munk, M. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04757-2 · Cited by 186
Attracting Comments: Digital Engagement Metrics on Facebook and Financial Performance
Yoon, G., Li, C., Ji, Y. (., North, M., Hong, C., & Liu, J. (2018) · Journal of Advertising · doi:10.1080/00913367.2017.1405753 · Cited by 149
Online reviews and product sales: the role of review visibility
Alzate, M., Arce-Urriza, M., & Cebollada, J. (2021) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer16040038 · Cited by 45
Hochstein, R. E., Harmeling, C. M., & Perko, T. (2025) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00982-y · Cited by 45
Trust Mechanisms in the Sharing Economy
Alvi, T. H., Tariq, S., Rashid, A., & Khan, M. Q. (2025) · Pakistan Business Review · doi:10.22555/pbr.v26i3.1284 · Cited by 3
“Some studies have also shown that the ratings provided on such platforms correlated strongly with more objective quality measures, such as sales (Berger et al., 2010; Chevalier & Mayzlin, 2006; Floyd et al., 2014; Hu et al., 2014; Zhu & Zhang, 2010).”
Marketing to Machines: How AI Shopping Agents Respond to Promotional Cues
Sabbah, J., & Acar, O. A. (2026) · doi:10.2139/ssrn.6406639 · Cited by 1
Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf
Wadi, D., & Ma, Y. (2026) · arXiv · doi:10.48550/arxiv.2608.22697
“…their bookings on listings with high review scores and low prices (Table W4), which mirrors human consumers (Chevalier and Mayzlin, 2006; Floyd et al., 2014) and is consistent with other studies of AI shopping agents (Allouah et al., 2026; Cherep et al., 2026; Wadi and Ma, 2026b;…”
Metadata
- Authors
- Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T.
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 90
- Issue
- 2
- Pages
- 217-232
- ISSN
- 0022-4359 (ISSN-L)
- OpenAlex
- W2028538363
- Cited by
- 622
- References
- 12
- FWCI
- 15.96
- 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
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.