• Journal of Smart Tourism
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• v.2 no.3
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• pp.1-3
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• 2022

• Journal of Smart Tourism
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• v.2 no.4
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• pp.1-3
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• 2022

• Journal of Smart Tourism
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• v.3 no.2
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• pp.1-3
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• 2023

• Journal of Smart Tourism
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• v.2 no.2
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• pp.1-4
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• 2022

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.108-113
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• 2024

The purpose of this study is to analyze user perceptions of tourism platforms through big data. Data were collected from Naver, Daum, and Google as big data analysis channels. Using semantic network analysis with the keyword 'tourism platform,' a total of 29,265 words were collected. The collection period was set for two years, from August 31, 2021, to August 31, 2023. Keywords were analyzed for connected networks using TexTom and Ucinet programs for social network analysis. Keywords perceived by tourism platform users include 'travel,' 'diverse,' 'online,' 'service,' 'tourists,' 'reservation,' 'provision,' and 'region.' CONCOR analysis revealed four groups: 'platform information,' 'tourism information and products,' 'activation strategies for tourism platforms,' and 'tourism destination market.' This study aims to expand and activate services that meet the needs and preferences of users in the tourism field, as well as platforms tailored to the changing market, based on user perception, current status, and trend data on tourism platforms.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.119-125
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• 2019

The purpose of this study is to find out the relevant factors of the choice tendency of tourism users to Intelligent Tourism platform through big data analysis, which will help enterprises to make accurate positioning and improvement according to user information feedback in the tourism market in the future, so as to gain the favor of users' choice and achieve long-term market competitiveness. This study takes the Intelligent Tourism platform as the independent variable and the user choice tendency as the dependent variable, and explores the related factors between the Intelligent Tourism platform and the user choice tendency. This study make use of text mining and R language text analysis, and uses SPSS and AMOS statistical analysis tools to carry out empirical analysis. According to the analysis results, the conclusions are as follows: service quality has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with tourism trust; Tourism Trust has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with user experience; user experience has a significant positive correlation with user choice tendency Positive correlation effect.

• Journal of Smart Tourism
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• v.3 no.4
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• pp.23-31
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• 2023

This paper explores the concept of enhanced smart tourism as a response to the challenges and opportunities arising in the post-pandemic tourism landscape. The COVID-19 pandemic has not only halted the global tourism industry but also prompted a reevaluation of its sustainability, technological integration, and impact on local communities. The need for a paradigm shift in tourism is emphasized, focusing on digitalization, innovation, and resilience. Enhanced smart tourism is characterized by a shift from traditional practices to innovative governance models, increased emphasis on sustainability, and the integration of technology for better management and visitor experiences. The paper discusses the four pillars of enhanced smart tourism - Technology, Sustainability, Accessibility/Mobility, and Innovation/Creativity, and their expansion in the post-pandemic era. Furthermore, the significant role of data in smart tourism is examined, highlighting the importance of data valuation, management, and ethics. The paper proposes frameworks and methods for data valuation and emphasizes the necessity of a comprehensive approach to data within the smart tourism ecosystem. The conclusion points to the need for further empirical and conceptual research to fully realize the potential of enhanced smart tourism.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.36-39
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• 2022

Medical tourism is recognized as a high value-added industry due to its longer stay and more useful costs than general tourism, and is growing rapidly around the world, especially in Asia. In addition, medical tourism is a new form of tourism that combines medical services with tourism activities such as recreation, leisure, and cultural activities, nowadays, medical tourism is emphasizing the combination of medical and tourism. Although Korea medical system and clinic have excellent medical equipment and infrastructure, it is not consistent with policy support and legislation. That have make it difficult for consumers to choose clinics for medical tourism. Therefore, it is necessary to provide customized information to the clinics that consumers want to match each other's services. In particular, it is aimed at consumers with simple procedures and cosmetic purposes, especially at small hospitals. In this paper, we propose a customized service platform that matches users seeking clinics and also medical tourism. Also we can easy to reservation clinic for medical tour.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.15-26
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• 2020

This study examined the effects of a social tourism information platform on platform users' experiential value and e-loyalty and performed an empirical analysis with the aim to propose methods and implications regarding what strategies can enable practical application for sustainable growth in the operation of a social tourism information platform in the future tourism industry. The results of the analysis are as follows. First, the analysis supported the hypothesis that sub-factors of a social tourism information platform, such as interactivity, information reliability, and usefulness, have statistically significant positive effects on experiential value. Second, the analysis did not support the hypothesis that the sub-factors of a social tourism information platform, such as interactivity, information reliability, and usefulness, have statistically significant positive effects on e-loyalty. Third, the analysis supported the hypothesis that experiential value has a statistically significant positive effect on e-loyalty. Consequently, tourism companies should improve customers' experiential value by supplementing their existing platforms, considering the interactivity, information reliability, and usefulness of users based on these characteristics of social tourism information platforms. To increase e-loyalty to their social tourism information platforms, tourism companies should clearly and rapidly provide the information needed by users in addition to improving the visual design of such platforms. Moreover, to increase e-loyalty, the companies can incorporate their own killer content into platforms for users to have an enjoyable time, using platforms that stimulate their interest and give pleasure and fun, and this way, they can satisfy the users' needs for experiential value.

• Journal of Smart Tourism
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• v.4 no.2
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• pp.1-4
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• 2024