Due to the nature of the tourism product (inherently experiential, intangible, and heterogeneous) and the substantial geographical distances, trial prior to the purchase decision is almost impossible. These kinds of distances could be overcome by information about the product, which is available in advance and can be gathered by the consumer. The upsurge of mobile technology is providing great flexibility for the tourism industry and travelers who have hierarchical needs for information beyond the extent or extension of alternative user-centered information channels and other support systems on the road. Current research of the use of mobile technology in tourism has focused on design and technological issues of mobile guides. Little research has been conducted to understand travelers' attitude and use patterns. This research aims to apply the key concepts of technology acceptance model (TAM) to understand how user experience, performance, and effort expectation interplay with user intention. Using structural equation modeling on online survey data, six hypotheses which describe the relationships between the variables of the model were S. Oh et al. tested. The results indicated that the proposed model could well predict the tourists' intentions toward mobile device usage for their next trip. Travelers' intentions to use mobile devices primarily depended on performance expectancy rather than effort expectancy. Previous information and communication technologies (ICT) usage and trip experience were positively related to the performance expectancy and effort expectancy, respectively. The indirect effects of previous ICT usage and previous trip experience on behavioral intention were further identified.

Background:The study describes the changes resulted from imposition on tertiary hospital outpatient coinsurance rate rise policy and in tertiary or general hospital drug coverage rise policy on healthcare service utilization. Methods: Accordingly, the hypothesis about outpatient healthcare utilization after rise policy in outpatient coinsurance rate and drug coverage was established, using interrupted time-series analysis and segmented regression analysis to test the hypothesis. 5-year analysis period (2007. 3-2012. 3) from the outset year was designated, the data about most common 10 high-ranking of the main diseases targeting visiting patient from age of 6 to 64 were collected. Results: The summary on the major research is followed. First, the medical expense and duration of treatment tends to be increased in case of imposition about rise policy in outpatient coinsurance rate in the tertiary hospital under the interrupted time-series analysis. It showed temporary increase and slow down on account of influenza A even after the policy enforcement. In segmented regression analysis, duration of visit and medical expense in the tertiary hospital increased temporally right after the policy implementation and the decreased rapidly depends on period. Both rise and fall is statistically significant. The second, In case of tertiary or general hospital outpatient drug coverage rise policy, all of the tertiary hospital healthcare service utilization variables by the interrupted time-series analysis, drug coverage policy in the general hospital deeply declined according to decreasing trend before policy implementation. The third, in case of segmented regression analysis, the visit duration and medical expense statistically declined right after the policy implementation in both the tertiary and general hospital. Meanwhile, administration day was statistically meaningful only for the decrease right after the policy implementation. Otherwise, general hospital changes are not statistically meaningful. And the medicine cost was statistically, meaningfully decreased after the increase in drug coverage. Conclusion: Finally, the result demonstrated according to the analysis is only 1 hypothesis is denied, the other 2 are partially supported. Then, tertiary hospital outpatient coinsurance rate increase policy comparatively makes decrease effect on long-term healthcare utilization, and tertiary or general hospital outpatient drug coverage policy showed partially short-term effect is assured.

ABSTRACT

Previous research on online health (e-health) information was primarily focused on consumer information