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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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/763573 |
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| author | Wen-Cheng Wang Wen-Chien Cho Yin-Jen Chen |
| author_facet | Wen-Cheng Wang Wen-Chien Cho Yin-Jen Chen |
| author_sort | Wen-Cheng Wang |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-ed66740472114a5d96702b82f4f4dd00 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ed66740472114a5d96702b82f4f4dd002025-02-03T05:44:30ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/763573763573Analysis of the Influence of Quantile Regression Model on Mainland Tourists’ Service Satisfaction PerformanceWen-Cheng Wang0Wen-Chien Cho1Yin-Jen Chen2Department of Business Administration, National Taiwan University of Science and Technology, TaiwanDepartment of Hospitality Management, Hsing Wu University, No. 101, Sec. 1, Fenliao Road, LinKou District, New Taipei City 24452, TaiwanDepartment of Hotel and Restaurant Management, Ching Kuo Institute of Management and Health, 336 Fu Hsin Road, Keelung, TaiwanIt 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.http://dx.doi.org/10.1155/2014/763573 |
| spellingShingle | Wen-Cheng Wang Wen-Chien Cho Yin-Jen Chen Analysis of the Influence of Quantile Regression Model on Mainland Tourists’ Service Satisfaction Performance The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2014/763573 |
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