According to the changes in tourist travel patterns and the development of a new type of economic concept, the accommodation type that differs from the existing accommodation types in the tourism industry has appeared. The development of the shared economy has brought a new type of accommodation, shared accommodation services, with the tourism industry. It has become an important part of the tourism industry in combined with travel patterns of travelers. However, the importance of shared accommodation services has been emphasized, but the studies on lenders, users, and shared economic platforms that play an important role in the shared economic model are insufficient. This study is to draw out the consumer-centered selection attributes using shared accommodation services and to identify how the derived consumer-centered selection attributes affect on satisfaction and behavioral intention. In addition, it is to identify the structural relationship through empirical analysis what effect the selection attributes of shared accommodation service has on overall satisfaction according to the degree of regulatory effects of the user's cultural adaptation In order to achieve the purpose of this study, it derived the selection attributes of shared accommodation service by using big data in order to derive the consumer-centered selection attributes of the most important shared accommodation service. Through refinement process focused on extracted words using text mining among the big data analysis techniques, 52 selection attributes of shared accommodation service were derived. In order to identify the effect of derived 52 selection attributes of shared accommodation service on satisfaction and behavioral intention, a total of 348 samples were collected through online questionnaires from October 1, 2016 to October 7, 2016. The analysis method used in this study was descriptive statistics, exploratory factor analysis, standard simple regression analysis, standard multiple regression analysis, and hierarchical regression analysis using SPSS 22.0. The results of the verification on the hypothesis of this study are summarized as follows. First, in the hypothesis of "selection attribute of shared accommodation service will have a significant effect on satisfaction", accommodation facilities selection attributes (price policy, convenience facilities, internal facilities, accessibility, reservation policy, amenities), host selection attributes (service, informational provision and reputation, image), site selection attributes (platform) showed significant results in satisfaction, and all hypotheses were adopted. Second, in the hypothesis of "selection attribute of shared accommodation service will have a significant effect on behavioral intention." accommodation facilities selection attributes (price policy, convenience facilities, internal facilities, accessibility, reservation policy, amenities), host selection attributes (service, informational provision and reputation, image), site selection attributes (platform) showed significant results in satisfaction, and all hypotheses were adopted. Third, in the hypothesis of "the satisfaction of shared accommodation service will have a significant effect on the behavioral intention," satisfaction showed to influence behavioral intention and the hypothesis was adopted. Finally, as a result of analyzing regulatory effects of the cultural adaptation in the effect of selection attributes of shared accommodation service on satisfaction, accommodation facilities selection attribute (price policy, convenience facilities, internal facilities, accessibility, reservation policy, amenities), host selection attributes (service, informational provision and reputation, image), site selection attributes (platform) showed a significant effect. Based on the results of this study, it can be concluded that the adaptation and understanding of the culture of the visiting area can enhance the satisfaction of using the shared accommodation service. Therefore, through the results of this study, it can be seen that there are selection attributes different from existing accommodation facilities in using the shared accommodation service, and considering the user's needs by utilizing the user-centered selection attributes of the shared accommodation service, it can increase the satisfaction of shared accommodation service, and obtain the repurchase and positive oral effect. In addition, if the users also understand the culture of the visiting area and use shared accommodation service, they will get high satisfaction. In the future study, it seems that objective studies are needed by more specific subdivision of selection attributes of shared accommodation service, and in order to grow the tourism industry through the shared accommodation services, it is considered that in-depth studies should be continued in terms of various aspects of users. Key words: shared accommodation service, selection attributes, satisfaction, behavioral intention, big data, cultural adaptation, regulatory effect ，韩语论文网站，韩语论文范文 |
