Segmenting the market of West Australian senior tourists using an artificial neural network

Kim, Jaesoo, Wei, Sherrie and Ruys, Hein (2003) Segmenting the market of West Australian senior tourists using an artificial neural network. Tourism Management, 24 1: 25-34. doi:10.1016/S0261-5177(02)00050-X

Author Kim, Jaesoo
Wei, Sherrie
Ruys, Hein
Title Segmenting the market of West Australian senior tourists using an artificial neural network
Journal name Tourism Management   Check publisher's open access policy
ISSN 0261-5177
Publication date 2003-02-01
Sub-type Article (original research)
DOI 10.1016/S0261-5177(02)00050-X
Open Access Status
Volume 24
Issue 1
Start page 25
End page 34
Total pages 10
Editor Chris Ryan
Place of publication Exeter, England
Publisher Elsevier Science
Language eng
Subject C1
280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic
700103 Information processing services
Abstract Measuring perceptions of customers can be a major problem for marketers of tourism and travel services. Much of the problem is to determine which attributes carry most weight in the purchasing decision. Older travellers weigh many travel features before making their travel decisions. This paper presents a descriptive analysis of neural network methodology and provides a research technique that assesses the weighting of different attributes and uses an unsupervised neural network model to describe a consumer-product relationship. The development of this rich class of models was inspired by the neural architecture of the human brain. These models mathematically emulate the neurophysical structure and decision making of the human brain, and, from a statistical perspective, are closely related to generalised linear models. Artificial neural networks or neural networks are, however, nonlinear and do not require the same restrictive assumptions about the relationship between the independent variables and dependent variables. Using neural networks is one way to determine what trade-offs older travellers make as they decide their travel plans. The sample of this study is from a syndicated data source of 200 valid cases from Western Australia. From senior groups, active learner, relaxed family body, careful participants and elementary vacation were identified and discussed. (C) 2003 Published by Elsevier Science Ltd.
Keyword Environmental Studies
Neural Networks
Travel Attributes
Q-Index Code C1
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2004 Higher Education Research Data Collection
UQ Business School Publications
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Citation counts: TR Web of Science Citation Count  Cited 60 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 62 times in Scopus Article | Citations
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Created: Wed, 15 Aug 2007, 05:19:39 EST