The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews
Abstract
Online reviews (ORs) are continuing to foster a renewed spread of word-of-mouth in the travel industry. Travelers are increasingly using ORs to inform them about accommodations and other tourism-related products. As such, it is important to improve our understanding of the behavioral consequences of e-word-of-mouth. In this article, we adopt the elaboration likelihood model to identify what influences travelers to adopt information from ORs in their decision making. We measure the influence of six dimensions of information quality that are part of the central route and two dimensions that are associated with the peripheral route of persuasion. The results of this study reveal that product ranking, information accuracy, information value-added, information relevance, and information timeliness are strong predictors of travelers’ adoption of information from ORs on accommodations. These results imply that high-involvement travelers adopt both central (information quality) and peripheral (product ranking) routes when they process information from ORs.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
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
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916 · cited 1×
“E-WOM has been defined as “any positive or negative statement made by potential, actual or former customers about a product or company, that is made available to a multitude of people and institutions via the internet” (Hennig-Thurau et al. 2004, p. 39).”
BackgroundBeyond Accuracy: What Data Quality Means to Data Consumers
Wang, R. Y., & Strong, D. M. (1996) · Journal of Management Information Systems · doi:10.1080/07421222.1996.11518099 · Cited by 4,672
Buhalis, D., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2008.01.005 · Cited by 3,823 · cited 1×
“For example, Tripadvisor (www.tripadvisor.com), one of the most successful COPs which specializes in travel, enables travelers to write reviews on accommodations all around the world and brings together individuals in discussion forums (Buhalis and Law 2008).”
BackgroundElectronic 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
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
Cited by
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102168 · Cited by 4,608
“…role in consumers sharing intention on social media platforms (Kim and Jang 2019). eWOM communication can have a significant effect on information adoption, consumer attitude, purchase intention, brand loyalty, and trust (Filieri & McLeay, 2014; Ismagilova et al., 2020a, Ismagilova et al., 2020c).”
BackgroundSelf-citationFilieri, R. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2014.11.006 · Cited by 1,083
Self-citationFilieri, R., Alguezaui, S., & McLeay, F. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.05.007 · Cited by 882
Self-citationWhat makes an online consumer review trustworthy?
Filieri, R. (2016) · Annals of Tourism Research · doi:10.1016/j.annals.2015.12.019 · Cited by 587
Self-citationImpact of online WOM on destination trust and intention to travel: A medical tourism perspective
Abubakar, A. M., & Ilkan, M. (2016) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2015.12.005 · Cited by 482
Metadata
- Authors
- Filieri, R., & McLeay, F.
- Venue
- Journal of Travel Research
- Publisher
- SAGE Publications
- Published
- 2013-03-25
- Volume
- 53
- Issue
- 1
- Pages
- 44-57
- ISSN
- 0047-2875 (ISSN-L)
- 1552-6763
- OpenAlex
- W2131752840
- Cited by
- 972
- References
- 15
- FWCI
- 104.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews. https://app.cochat.ai/papers/10.1177/0047287513481274
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- Filieri, R., & McLeay, F. (2014). E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews. Journal of Travel Research. https://doi.org/10.1177/0047287513481274
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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