Paper
27 September 2022 A study on tourism service quality improvement of Zhaoxing Dong Village in Guizhou based on IPA method
Haofan Zhong
Author Affiliations +
Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123450X (2022) https://doi.org/10.1117/12.2648626
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China
Abstract
With the increasingly fierce competition in tourism industry, the service quality of tourist attractions must keep up if they are to develop, especially the current form of tourism gradually tends to quality and refinement, and tourists have higher expectations and requirements for tourism quality. Based on this, Zhaoxing Dong Village Scenic Area in Liping County, Qiandongnan Prefecture, Guizhou Province is selected as the research object, and the index evaluation system is constructed by using literature research method and interview method, etc. The data is obtained by issuing questionnaires through field research, using software SPSS analysis data,and the index data is analyzed by using modified IPA method. The study found that the scenic spot still needs to be improved mainly in the aspects of catering service, tour service and shopping service. In response to the research results, the following suggestions were put forward: to create "a theme of multiple forms, with a chain of pearls" form of catering development; to strengthen the "one center, multiple support" tourism route planning; to promote the realization of "shopping four Shopping services" and other recommendations.The proposed improvement countermeasures will help Zhaoxing Dong Village scenic spot to improve the quality of tourism services and promote the sustainable development of the scenic spot.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haofan Zhong "A study on tourism service quality improvement of Zhaoxing Dong Village in Guizhou based on IPA method", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123450X (27 September 2022); https://doi.org/10.1117/12.2648626
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KEYWORDS
Analytical research

Statistical analysis

Data modeling

Quality systems

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