The Effects of Tourism Risk Perception on Consumption Decision and Travel Insurance-SOM and Multinomial Logistic Regression Approach / 旅遊風險知覺對消費決策與旅遊保險之影響―SOM與多類別邏輯斯迴歸之應用

碩士 / 國立高雄第一科技大學 / 風險管理與保險所 / 96 / This research explored the relationship between tourism risk perception and tourism consumption decision. We also applied multinomial logistic regression to analyze the effects of both tourism risk perception and population to destination active and passive participants from all travel insurers. By factor analysis, four dimensions of tourism risk perceptions were developed, “The traffic safety and medical system,” “The safety of hotel and fleeing system,” “The exploration before taking off and danger prevention,” and “The natural and man-made calamities and accidental precautions.” Three other dimensions of tourism consumption decision were also developed, “A curious, dynamic, healthy, and nostalgic tour,” “An adventurous and modern tour,” and “A leisure and relaxing tour.” By self-organizing map network (SOM) clustering analysis, two groups of tourism risk perceptions were developed, “The tourists who pay attention to the overall tour and uncontrollable factors,” and “The tourists who pay attention to individuality and controllable factors.” Results showed that there were significant differences among partial population characters in tourism risk perception as well as tourism consumption decision. In addition, by canonical correlation analysis, the research found the higher tourism risk perception the people had, the more active the people were in tourism consumption decision. Finally, the multinomial logistic regression showed that both tourism risk perception and partial population characteristics would be the key factors of choosing between active travel insurance and passive travel insurance.

Identiferoai:union.ndltd.org:TW/096NKIT5218007
Date January 2008
CreatorsChen-hua Yao, 姚振華
ContributorsPai-lung Chou, 周百隆
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format73

Page generated in 0.0133 seconds