The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers
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Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · cited 1×
“This scale is based on three items adopted from previous studies (Casaló, Flavián and Guinalíu, 2010; Wu and Chen, 2005; Bhattacherjee, 2001).”
MethodHiggins, E. T. (1997) · American Psychologist · doi:10.1037/0003-066x.52.12.1280 · Cited by 6,775
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
The impact of online reviews on hotel booking intentions and perception of trust
Sparks, B. A., & Browning, V. (2011) · Tourism Management · doi:10.1016/j.tourman.2010.12.011 · Cited by 1,688
Tried and tested: The impact of online hotel reviews on consumer consideration
Vermeulen, I. E., & Seegers, D. (2009) · Tourism Management · doi:10.1016/j.tourman.2008.04.008 · Cited by 1,311
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.133 · Cited by 947
Face consciousness and risk aversion: Do they affect consumer decision‐making?
Bao, Y., Zhou, K. Z., & Su, C. (2003) · Psychology & Marketing · doi:10.1002/mar.10094 · Cited by 419
Cited by
Influencers on Instagram: Antecedents and consequences of opinion leadership
Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.005 · Cited by 1,336
Self-citationUnderstanding the Impact of Online Reviews on Hotel Performance: An Empirical Analysis
Phillips, P., Barnes, S., Zigan, K., & Schegg, R. (2017) · Journal of Travel Research · doi:10.1177/0047287516636481 · Cited by 257
Jiang, G., Liu, F., Liu, W., Liu, S., Chen, Y., & Xu, D. (2021) · Data Science and Management · doi:10.1016/j.dsm.2021.02.004 · Cited by 227
Ketron, S. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.08.008 · Cited by 37
Metadata
- Authors
- Casaló, L. V., Flavián, C., Guinalíu, M., & Ekinci, Y.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 68
- Issue
- 9
- Pages
- 1829-1835
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W1967821355
- Cited by
- 202
- References
- 8
- FWCI
- 46.51
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers. https://app.cochat.ai/papers/10.1016/j.jbusres.2015.01.010
- The paper
- Casaló, L. V., Flavián, C., Guinalíu, M., & Ekinci, Y. (2015). Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2015.01.010
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.
