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Analyzing international travelers' profile with self-organizing maps
It is generally agreed that knowledge is the most valuable asset to an organization. Knowledge enables a business to effectively compete with its competitors. In the tourism context, an in-depth knowledge of the profile of international travelers to a destination has become a crucial factor for decision makers to formulate their business strategies and better serve their customers. In this research, a self-organizing map (SOM) network was used for segmenting international travelers to Hong Kong, a major travel destination in Asia. An association rules discovery algorithm is then utilized to automatically characterize the profile of each segment. The resulting maps serve as a visual analysis tool for tourism managers to better understand the characteristics, motivations, and behaviors of international travelers.
History
Journal
Journal of travel & tourism marketingVolume
27Issue
2Pagination
113 - 131Publisher
Routledge Taylor & Francis GroupLocation
Philadelphia, Pa.Publisher DOI
ISSN
1054-8408eISSN
1540-7306Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2010, Taylor & FrancisUsage metrics
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