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基于SEM与IPA模型的旅游公共服务游客满意度研究 被引量:30

Study on tourist satisfaction with tourism public service based on SEM and IPA models
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摘要 旅游公共服务游客满意度是影响区域旅游业可持续发展的重要指标。本文从游客满意度视角出发,构建旅游公共服务游客满意度评价指标体系和评价模型,以平遥古城为案例做实证研究,用SEM模型对旅游公共服务游客满意度评价模型进行拟合,用IPA分析法测度各项指标的重要性与满意度。结果发现:1)SEM模型实证分析验证了所构建的旅游公共服务游客满意度评价模型具备科学性,旅游公共服务体系满意度对游前期望、旅游总体满意度、重游意愿及推荐意愿有显著正向影响。2)IPA分析实证发现游客感知旅游公共服务游客满意度体系内的各指标重要性与满意度之间存在较大差异。 Tourist satisfaction with tourism public service is an important index that affects the sustainable development of regional tourism.In this paper,the evaluation index system and evaluation model of tourist satisfaction with tourism public service were constructed from the perspective of tourist satisfaction,and Pingyao ancient city was taken as an empirical study.The SEM model was used to fit the evaluation model of tourist satisfaction with tourism public service.The importance and satisfaction of each index were measured by IPA analysis.Results show:1)The empirical analysis of the SEM model proves that the evaluation model of tourist satisfaction with tourism public service is scientific,and the satisfaction of tourism public service system has a significant positive effect on pre-trip expectation,tourism overall satisfaction,revisiting intention and recommendation intention.2)IPA analysis shows that there is a great difference between the importance and satisfaction of each index in the tourist satisfaction system.
作者 马慧强 刘玉鑫 燕明琪 席建超 MA Huiqiang;LIU Yuxin;YAN Mingqi;XI Jianchao(School of Culture and Tourism,Shanxi University of Finance and Economics,Taiyuan 030000;Key Laboratory of Land Surface Pattern and Simulation,Institute of Geography Science and Resources,Chinese Academy of Sciences,Beijing 100101;School of Statistics,Shanxi University of Finance and Economics,Taiyuan 030000,China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2021年第6期192-199,共8页 Journal of Arid Land Resources and Environment
基金 2020年教育部人文社会科学青年基金(20YJCZH161) 国家自然科学基金项目(41671151)资助。
关键词 旅游公共服务 游客满意度 结构方程模型(SEM) IPA分析法 平遥古城 tourism public service tourist satisfaction SEM IPA analysis Pingyao ancient city
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