Determinants of guest loyalty to international tourist hotels - A neural network approach

Sheng Hshiung Tsaur, Yi-Chang Chiu, Chung Huei Huang

Research output: Contribution to journalArticle

78 Scopus citations

Abstract

This paper discusses two issues arising from employing artificial neural networks (ANNs) as the tool for analyzing the guest loyalty toward international tourist hotels. The first issue comes to investigate how ANNs model the determinants of business travelers' loyalty toward international tourist hotels. The second issue focuses on comparing the results from ANNs with those from logistic regression models. ANNs and logistic regressions are trained and calibrated to establish the relationship between eight service aspects and attitudinal loyalty measures. The results of this study show that ANNs models demonstrate satisfactory model fitting performance and suggest comparable results to prior related studies. The comparative analysis between ANNs and logistic regression models suggests that both reveal similar importance ranking for service aspects and ANNs outperforms regression models in overall model-fitting.

Original languageEnglish (US)
Pages (from-to)397-405
Number of pages9
JournalTourism Management
Volume23
Issue number4
DOIs
Publication statusPublished - 2002
Externally publishedYes

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Keywords

  • Artificial neural network
  • Guess loyalty
  • International tourist hotels
  • Logistic regression

ASJC Scopus subject areas

  • Strategy and Management
  • Tourism, Leisure and Hospitality Management
  • Development
  • Transportation

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