The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The impact of online user reviews on hotel room sales
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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
Travel Blogs and the Implications for Destination Marketing
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Online peer and editorial recommendations, trust and choice in virtual markets
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Cited by
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
Motivations for sharing tourism experiences through social media
Munar, A. M., & Jacobsen, J. K. S. (2014) · Tourism Management · doi:10.1016/j.tourman.2014.01.012 · Cited by 1,259
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What can big data and text analytics tell us about hotel guest experience and satisfaction?
Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2014.10.013 · Cited by 953
New consumer behavior: A review of research on eWOM and hotels
Serra Cantallops, A., & Salvi, F. (2014) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2013.08.007 · Cited by 884
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What makes an online consumer review trustworthy?
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Factors influencing popularity of branded content in Facebook fan pages
Sabate, F., Berbegal-Mirabent, J., Cañabate, A., & Lebherz, P. R. (2014) · European Management Journal · doi:10.1016/j.emj.2014.05.001 · Cited by 557
Be a “Superhost”: The importance of badge systems for peer-to-peer rental accommodations
Liang, S., Schuckert, M., Law, R., & Chen, C.-C. (2017) · Tourism Management · doi:10.1016/j.tourman.2017.01.007 · Cited by 330
Self-citationIf nearly all Airbnb reviews are positive, does that make them meaningless?
Bridges, J., & Vásquez, C. (2018) · Current Issues in Tourism · doi:10.1080/13683500.2016.1267113 · Cited by 205
Kim, W. G., & Park, S. A. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-11-2015-0627 · Cited by 162
The Effects of Perceived Value, Website Trust and Hotel Trust on Online Hotel Booking Intention
Kim, S., Kim, J., & Park, S. (2017) · Sustainability · doi:10.3390/su9122262 · Cited by 128
The Effects of Culture on Consumers’ Consumption and Generation of Online Reviews
Kim, J. M., Jun, M., & Kim, C. K. (2018) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2018.05.002 · Cited by 118
Zhang, L., Yan, Q., & Zhang, L. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.10.002 · Cited by 114
Twenty‐Five Years of Word‐of‐Mouth Studies: A Critical Review of Tourism Research
Confente, I. (2015) · International Journal of Tourism Research · doi:10.1002/jtr.2029 · Cited by 111
Customer restaurant choice: An empirical analysis of restaurant types and eating-out occasions
Chua, B.-L., Karim, S., Lee, S., & Han, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17176276 · Cited by 108
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The halo effect: A longitudinal approach
Nicolau, J. L., Mellinas, J. P., & Martín-Fuentes, E. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.102938 · Cited by 103
Following you wherever you go: Mobile shopping ‘cart-checkout’ abandonment
Kapoor, A. P., & Vij, M. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102553 · Cited by 54
Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms
Kokkodis, M., & Lappas, T. (2020) · Information Systems Research · doi:10.1287/isre.2019.0895 · Cited by 48
The application and comparison of web services for sentiment analysis in tourism
Gao, S., Hao, J., & Fu, Y. (2015) · 2015 12th International Conference on Service Systems and Service Management (ICSSSM) · doi:10.1109/icsssm.2015.7170341 · Cited by 41
Extracting and Ranking Travel Tips from User-Generated Reviews
Guy, I., Mejer, A., Nus, A., & Raiber, F. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052632 · Cited by 32
Unsupervised tip-mining from customer reviews
Zhu, D., Lappas, T., & Zhang, J. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.01.011 · Cited by 32
Sudaryanto, S., Hanim, A., Rosediana Dewi, I., Kartikasari, A. D., & Rusdiyanto, R. (2025) · Cogent Business & Management · doi:10.1080/23311975.2025.2503093 · Cited by 21
Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems
Neifer, T., Bossauer, P., Pakusch, C., Boehm, L., & Lawo, D. (2024) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-022-09461-4 · Cited by 6
“This representation was chosen because ratings are the current standard for reputation systems in many areas of the sharing economy (Stevens and Bossauer, 2020; Ert et al., 2016; Ye et al., 2009).”
Wan, Y. N., & Forey, G. (2024) · Journal of Language Teaching and Research · doi:10.17507/jltr.1502.05 · Cited by 5
(2013) · European Conference on Information Systems · Cited by 1
Metadata
- Authors
- Ye, Q., Law, R., & Gu, B.
- Venue
- International Journal of Hospitality Management
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 28
- Issue
- 1
- Pages
- 180-182
- ISSN
- 0278-4319 (ISSN-L)
- OpenAlex
- W2012327977
- Cited by
- 1,269
- References
- 3
- FWCI
- 53.43
- 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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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.
