Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/28461
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Hotel and Tourism Management | en_US |
dc.creator | Li, G | en_US |
dc.creator | Law, R | en_US |
dc.creator | Vu, HQ | en_US |
dc.creator | Rong, J | en_US |
dc.date.accessioned | 2015-05-26T08:13:36Z | - |
dc.date.available | 2015-05-26T08:13:36Z | - |
dc.identifier.issn | 0261-5177 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/28461 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2012 Elsevier Ltd. All rights reserved | en_US |
dc.rights | © 2012. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.subject | Hotel preference | en_US |
dc.subject | Data mining | en_US |
dc.subject | Travel behavior | en_US |
dc.subject | Choquet Integral | en_US |
dc.subject | Aggregation function | en_US |
dc.subject | Fuzzy measure | en_US |
dc.subject | Interaction index | en_US |
dc.title | Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 321 | en_US |
dc.identifier.epage | 330 | en_US |
dc.identifier.volume | 36 | en_US |
dc.identifier.doi | 10.1016/j.tourman.2012.10.017 | en_US |
dcterms.abstract | Modeling MCDM requires the simultaneous consideration of multiple criteria but traditional statistical techniques can only evaluate these factors independently. As such, it is vital for managers to have a clear picture of customers' preferences in order to design more focused marketing strategies; whereas the existing body of work is unable to meet such a requirement. To tackle these challenges, we introduce a new technique based on deploying an aggregation function, the Choquet Integral (CI), in the tourism context. Focusing on a case study of the Hong Kong hotel industry, we demonstrate how this technique can be used to discover the preferences among travelers that affect their hotel selections. A set of criteria based on these preference profiles is then constructed. The findings are expected to benefit tourism managers worldwide. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Tourism management, June 2013, v. 36, p. 321-330 | en_US |
dcterms.isPartOf | Tourism management | en_US |
dcterms.issued | 2013-06 | - |
dc.identifier.isi | WOS:000317154200037 | - |
dc.identifier.eissn | 1879-3193 | en_US |
dc.identifier.rosgroupid | r64713 | - |
dc.description.ros | 2012-2013 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0635-n01 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingText | GRF: PolyU 5461/11H, 546111 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a0635-n01_paper_Li_et_al.pdf | Pre-Published version | 1.36 MB | Adobe PDF | View/Open |
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