• Journal of Digital Convergence
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• v.13 no.9
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• pp.191-199
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• 2015

The Journal of Digital Policy & Management. This space is for the abstract of your study in English. In this paper, we propose a u-convergence Tourist Information 3.0 System using Flow Theory. It generates a sense of u-challenge and u-skills to maximize the enjoyment of tourists is u-convergence Tourist Information 3.0. This is a challenge to good sense and adjust the rating of the Convergence Contents information quality(CCIQ) analysis to maximize the enjoyment of tourists. Convergence Contents information quality(CCIQ) of the conductive continuity of the content closed antecedents u-conductive sense, the tourist synchronization adequacy may generate data that can be analyzed. Content Information Quality of rating is the leading factor in the ability of the u-skill mastery of tourists, can generate data availability. The result is to create a meta-model is referred to as content information to reach the best quality maximize enjoyment. Design a sense of u-challenge the skill of the information quality of the tourist information content has the advantage of being able to identify the data formation has the pleasure of tourists. By applying to future national competent standard it is expected to maximize the enjoyment of the job.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.137-147
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• 2019

This paper studies the effect of content information quality of u-tourism information system on flow theory and satisfaction. The purpose of the research is to generate and propose flow-related information to satisfy tourists with content information quality. The meaning of this paper is to derive success factors for verifying satisfaction of content information quality to tourists, establish hypotheses as research models, and evaluate verification. The differentiation of this study is the design implementation of u-fusion tourism information system by combining flow relation information with flow theory. The contribution of this paper is the generation of flow related information and the elicitation of success factors of contents quality of u-tourism information system. The advantage is that tourists can be patterned by symbolization and the pattern can be illustrated. The limitations of this paper are limited to small areas, and the lack of objectivity is required and future tasks are needed to compensate for them.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.389-399
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• 2021

The research background of this paper is because the u-convergence information system applying flow theory lacks the measurement of tourist satisfaction. The purpose and research method of this study are as follows. The first is the suggestion of flow relation information display format algorithm. Second, by combining this algorithm and flow theory, a pattern algorithm was created according to the content information quality and the personality type of tourists. The expected effect of this study is to derive the success factors of the u-convergence information system by generating a pattern algorithm according to the flow relationship information display format and the tourist's personality type. The limitations of this paper are limited to one area, and objectivity is poor due to the lack of data and small area. In the future, it is necessary to evaluate the effectiveness through analysis after applying the method presented to other tourist destinations. Future tasks will need to be supplemented with data from expert groups and objectivity in various regions.