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

CCUR > College of Business > Department of Tourism & Graduate Institute of Tourism Industry > periodical articles > Item 987654321/2941

Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/2941

Title:	Determinants of guest loyalty to international tourist hotels - a neural network approach
Authors:	Tsaur S.H. Chiu Y.C. Huang C.H.
Contributors:	觀光系
Keywords:	artificial neural network logistic regression guest loyalty international tourist hotels
Date:	2002
Issue Date:	2009-12-04 15:15:18 (UTC+8)
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. (C) 2002 Elsevier Science Ltd. All rights reserved.
Relation:	TOURISM MANAGEMENT Volume: 23 Issue: 4 Pages: 397-405
Appears in Collections:	[Department of Tourism & Graduate Institute of Tourism Industry ] periodical articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	Text	1180	View/Open