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Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance

It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service q...

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Detalles Bibliográficos
Autores principales: Wang, Wen-Cheng, Cho, Wen-Chien, Chen, Yin-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3915528/
https://www.ncbi.nlm.nih.gov/pubmed/24574916
http://dx.doi.org/10.1155/2014/763573
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author Wang, Wen-Cheng
Cho, Wen-Chien
Chen, Yin-Jen
author_facet Wang, Wen-Cheng
Cho, Wen-Chien
Chen, Yin-Jen
author_sort Wang, Wen-Cheng
collection PubMed
description It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models.
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spelling pubmed-39155282014-02-26 Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance Wang, Wen-Cheng Cho, Wen-Chien Chen, Yin-Jen ScientificWorldJournal Research Article It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models. Hindawi Publishing Corporation 2014-01-16 /pmc/articles/PMC3915528/ /pubmed/24574916 http://dx.doi.org/10.1155/2014/763573 Text en Copyright © 2014 Wen-Cheng Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Wen-Cheng
Cho, Wen-Chien
Chen, Yin-Jen
Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance
title Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance
title_full Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance
title_fullStr Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance
title_full_unstemmed Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance
title_short Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance
title_sort analysis of the influence of quantile regression model on mainland tourists' service satisfaction performance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3915528/
https://www.ncbi.nlm.nih.gov/pubmed/24574916
http://dx.doi.org/10.1155/2014/763573
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