✍ Scribed by Sheng-Hshiung Tsaur; Yi-Chang Chiu; Chung-Huei Huang
No coin nor oath required. For personal study only.
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.
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