The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identifying emerging hotel preferences using Emerging Pattern Mining technique
Open accessAbstract
Hotel managers continue to find ways to understand traveler preferences, with the aim of improving their strategic planning, marketing, and product development. Traveler preference is unpredictable; for example, hotel guests used to prefer having a telephone in the room, but now favor fast Internet connection. Changes in preference influence the performance of hotel businesses, thus creating the need to identify and address the demands of their guests. Most existing studies focus on current demand attributes and not on emerging ones. Thus, hotel managers may find it difficult to make appropriate decisions in response to changes in travelers' concerns. To address these challenges, this paper adopts Emerging Pattern Mining technique to identify emergent hotel features of interest to international travelers. Data are derived from 118,000 records of online reviews. The methods and findings can help hotel managers gain insights into travelers' interests, enabling the former to gain a better understanding of the rapid changes in tourist preferences.
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Cites
Travel Blogs and the Implications for Destination Marketing
Pan, B., MacLaurin, T., & Crotts, J. C. (2007) · Journal of Travel Research · doi:10.1177/0047287507302378 · Cited by 798
Believe it or not: Credibility of blogs in tourism
Mack, R. W., Blose, J. E., & Pan, B. (2008) · Journal of Vacation Marketing · doi:10.1177/1356766707087521 · Cited by 222
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Business intelligence and big data in hospitality and tourism: a systematic literature review
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2018) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-07-2017-0461 · Cited by 434
Forecasting tourism demand with composite search index
Li, X., Pan, B., Law, R., & Huang, X. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.07.005 · Cited by 367
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
Understanding Guest Satisfaction with Urban Hotel Location
Yang, Y., Mao, Z., & Tang, J. (2018) · Journal of Travel Research · doi:10.1177/0047287517691153 · Cited by 156
Metadata
- Authors
- Li, G., Law, R., Vu, H. Q., Rong, J., & Zhao, X. (.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 46
- Pages
- 311-321
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W1982657993
- Cited by
- 164
- References
- 2
- FWCI
- 41.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Li, G., Law, R., Vu, H. Q., Rong, J., & Zhao, X. (. (2015). Identifying emerging hotel preferences using Emerging Pattern Mining technique. Tourism Management. https://doi.org/10.1016/j.tourman.2014.06.015
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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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