The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The influence of e-word-of-mouth on hotel occupancy rate
Open accessAbstract
Purpose: Online consumer reviews have become increasingly important for consumer decision-making. One of the most prominent examples is the hotel industry where consumer reviews on websites, such as Bookings.com, TripAdvisor and Venere.com, play a critical role in consumers’ choice of a hotel. There have been a number of recent studies analyzing various aspects of online reviews. The purpose of this paper is to investigate their effects in terms of hotel occupancy rates. Design/methodology/approach: This paper measures through regression analysis the impact of three dimensions of consumer reviews (i.e. review score, review variance and review volume) on the occupancy rates of 346 hotels located in Rome, isolating a number of other factors that might also affect demand. Findings: Review score is the dimension with the highest impact. The results suggest that after controlling for other variables, a one-point increase in the review score is associated to an increase in the occupancy rate by 7.5 percentage points. Regardless the review score, the number of reviews has a positive effect, but with decreasing returns, implying that the higher the number of reviews, the lower the beneficial effect in terms of occupancy rates is. Practical implications: The findings quantify the strong association of online reviews to occupancy rates suggesting the use of appropriate reputational management systems to increase hotel occupancy and therefore performance. Originality/value: A major contribution of this paper is its comprehensiveness in analyzing the relation between online consumer reviews and occupancy across a heterogeneous sample of hotels.
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Cites
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“Moreover, wireless and mobile systems allow people to share more easily their experiences in the online environment (Buhalis and Law, 2008; Inversini et al., 2010).”
BackgroundSelf-citationElectronic 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 electronic word-of-mouth communication: A literature analysis and integrative model
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The impact of online reviews on hotel booking intentions and perception of trust
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Tried and tested: The impact of online hotel reviews on consumer consideration
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Cited by
Real-time co-creation and nowness service: lessons from tourism and hospitality
Buhalis, D., & Sinarta, Y. (2019) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2019.1592059 · Cited by 883
Self-citationThe 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
How subjective knowledge influences intention to travel
Tassiello, V., & Tillotson, J. S. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2019.102851 · Cited by 68
Satisfaction measures with monetary and non-monetary components: hotel’s overall scores
Nicolau, J. L., Mellinas, J. P., & Martín-Fuentes, E. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102497 · Cited by 33
Chakraborty, U., & Biswal, S. K. (2024) · Journal of Promotion Management · doi:10.1080/10496491.2024.2332987 · Cited by 24
Metadata
- Authors
- Viglia, G., Minazzi, R., & Buhalis, D.
- Venue
- International Journal of Contemporary Hospitality Management
- Publisher
- Emerald
- Published
- 2016-09-12
- Volume
- 28
- Issue
- 9
- Pages
- 2035-2051
- ISSN
- 0959-6119 (ISSN-L)
- OpenAlex
- W2508199460
- Cited by
- 334
- References
- 9
- FWCI
- 93.37
- Type
- journal article
- Language
- en
- Open access
- green
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- Viglia, G., Minazzi, R., & Buhalis, D. (2016). The influence of e-word-of-mouth on hotel occupancy rate. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/ijchm-05-2015-0238
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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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