The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Asymmetric effects of online consumer reviews
Open accessAbstract
Consumers tend to seek heuristic information cues to simplify the amount of information involved in tourist decisions. Accordingly, star ratings in online reviews are a critical heuristic element of the perceived evaluation of online consumer information. The objective of this article is to assess the effect of review ratings on usefulness and enjoyment. The empirical application is carried out on a sample of 5,090 reviews of 45 restaurants in London and New York. The results show that people perceive extreme ratings (positive or negative) as more useful and enjoyable than moderate ratings, giving rise to a U-shaped line, with asymmetric effects: the size of the effect of online reviews depends on whether they are positive or negative.
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
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Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
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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
Electronic word-of-mouth in hospitality and tourism management
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.011 · Cited by 3,267
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
Social Media in Tourism and Hospitality: A Literature Review
Leung, D., Law, R., van Hoof, H., & Buhalis, D. (2013) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2013.750919 · Cited by 1,557
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“From the information process perspective, it can also be argued that negative information has stronger influences on individual’s judgement and choice than positive information (Skowronski & Carlston, 1989).”
Background
Cited by
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.10.001 · Cited by 1,051
What makes an online consumer review trustworthy?
Filieri, R. (2016) · Annals of Tourism Research · doi:10.1016/j.annals.2015.12.019 · Cited by 587
Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018) · Information & Management · doi:10.1016/j.im.2018.04.010 · Cited by 477
El-Said, O. A. (2020) · Tourism Management Perspectives · doi:10.1016/j.tmp.2019.100604 · Cited by 176
Strategic consumer behavior in online hotel booking
Masiero, L., Viglia, G., & Nieto-Garcia, M. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.102947 · Cited by 70
Metadata
- Authors
- Park, S., & Nicolau, J. L.
- Venue
- Annals of Tourism Research
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 50
- Pages
- 67-83
- ISSN
- 0160-7383 (ISSN-L)
- OpenAlex
- W1982425106
- Cited by
- 588
- References
- 13
- FWCI
- 69.18
- 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.
