| Summary: | 博士 === 元智大學 === 管理學院博士班 === 105 === This study retrieves 11,063 tourism relevant articles from Scopus database and applies main path analysis and edge-betweenness clustering technique to identifying the knowledge development trajectory and the major research themes in tourism. The time span of data ranges from 1953 to 2014. A citation network of the relevant articles is built and then two methods are applied on the network. First, the main path analysis is used to identify the knowledge diffusion path and the important articles. Second, the edge-betweenness clustering technique is applied to grouping and finding the major research themes. Six research themes are identified: tourism destination choice, sustainable tourism development, authenticity of heritage tourism, tourism demand forecasting, the impact of tourism on climate change, and medical tourism. Among them, tourism demand forecasting is the most relevant to Taiwan’s tourism development. This study uses the major inbound tourists from Mainland china , Hong Kong and Macaw, Japan, Korea and United States to build the tourism demand forecasting model. Final, the forecasting model is applied to estimate future inbound tourists from five main countries or regions in Taiwan.
|
|---|
