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Macau Periodical Index (澳門期刊論文索引)
- Author
- Xu, Ye；Chen, Songhong；Du, Min
- Title
- Tourists' perceptions on tea restaurant and community based tourism
- Journal Name
- 澳門科技大學學報
- Pub. Info
- 2019年12月31日, 第13卷第2期, pp. 61-71
- Link
- https://lib.must.edu.mo/sites/default/files/assets/images/Duu/%E6%BE%B3%E9%96%80%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%B8%E5%AD%B8%E5%A0%B1-2019%E5%B9%B4%E7%AC%AC%E4%BA%8C%E6%9C%9F.pdf
- Keyword
- Tea restaurant; Community based tourism; Tourist destination image; Tourist perception; Tourism satisfaction
- Abstract
- With the rapid development of do-it-yourself itinerary, an increasing number of tourists expect to go deep into residential community, taste indigenous food and understand local culture, which is regarded as a necessary experience in their tour. Tea restaurant for a long time is the traditional and daily dining place for merely local residents in Macao. They are one of the most typical places that display authentic dining culture, local customs and residential lifestyles. However, studies in this fiel are too limited. This research is endeavored to explore tourists' perceptions on tea restaurant and disclose its relationship with community based tourism and tourist destination image. We surveyed 403 tourists and used EFA and SEM to explore the relationship between variables. Findings disclose multiple predictors of restaurant performance for tourism satisfaction and further prove the importance of bettering authentic dining places on improving tourism quality as well as the destination image. Paragraph Headings： 1. Introduction 2. Literature review 2.1. Tourist perception 2.2. Community Based Tourism(CBT) 2.3. Tea Restaurants 2.4. Destination image 2.5. Tourist satisfaction 2.6. Relationship between tea Restaurant, CBT, destination image and tourist satisfaction 3. Data analysis and results 3.1. Descriptive statistical analysis 3.2. Reliability and factor analysis 3.3. Stuctural equation modeling 4. Research Findings 4.1. Research conclusion 4.2. Research suggestions Tables： 1. Exploratory factor analysis 2. Structural equation modeling Figures： 1. Research model