Research on Service Quality Improvement of Tianmu Lake Scenic Spot Based on SERVQUAL Model
- DOI
- 10.2991/978-94-6463-056-5_89How to use a DOI?
- Keywords
- Tourist attractions; SERVQUAL model; Service quality; Tian mu Lake
- ABSTRACT
As the basic and core factor of tourism development, tourist attractions occupy an incalculable position in tourism, and the service quality of tourist attractions has gradually become a key factor affecting their own competitiveness. In this paper, based on SERVQUAL model, we study Tianmu Lake in Changzhou, so that each scenic spot can pay more attention to the quality of service and can formulate an improved research program. In this paper, the reliability analysis and validity analysis of literature collection method, questionnaire survey method and data analysis method are used to test the feasibility of the new scale, and the paired t-test is performed on the questionnaire results, so as to find out the gap in the service quality of scenic spots, and the strategies to improve the service quality of scenic spots are proposed for five dimensions to improve the management level of scenic spots.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hua Wu AU - Hongyan Dong PY - 2022 DA - 2022/12/29 TI - Research on Service Quality Improvement of Tianmu Lake Scenic Spot Based on SERVQUAL Model BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 608 EP - 612 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_89 DO - 10.2991/978-94-6463-056-5_89 ID - Wu2022 ER -