• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.637-644
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• 2017

This paper is based on the information left on SNS by the experienced tourist and, First, the tourist gathers various tourist information from SNS through Smart Tourism as suggested, Second, providing scheduling information for future tourist and the future tourist can modify and apply the information from experienced tourist. Third, the goal of this study is to design virtual tourism service based on above services where future tourist can post and modify tourism scheduling. Therefore, it is to obtain the effect of providing reliable tourism service to maximize the satisfaction of the tour through matching process between experience experiences and experience schedule.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.115-120
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• 2018

Current medical tourism is focused on the services of large hospitals and it is hard to find ways to attract the users. Users collect information for medical tourism through various paths in order to receive the medical consultations and customized tour services. To expand medical tourism to small and medium sized hospitals, it is necessary to have the customized medical consultations, tours and interpreter services, which are the key elements of medical tourism. This study suggests ways to provide the services based on information on medical consultations, tours and interpreter services that users had experienced directly, and also based on the platform for the essential items integrated from users, hospitals and guides' viewpoints. With information on hospitals that provide medical consultations and guides who are able to provide professional services in translation, interpretation and customized tour, users may accumulate and share the information about hospitals and customized tours verified by other users from the integrated platform. To match the contents provided by hospitals and guides with information experienced by users into a system, this study suggests the construction plan for the service model that can match the experience information between users and hospitals, between users and guides and between hospitals and guides systematically by operating the data in the universal container.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.503-523
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• 2019

Many cities in the world have increased initiative to realize smart tourism. There are unexplored challenges for the people which lead and manage smart tourism projects and realize its value in tourism (we call them as 'Smart tourism initiatives'), such as orchestrating of tourism complexity, developing and sharing tourism strategy, sustaining tourism projects and innovation. Concerning these challenges, we aim to design a holistic capability maturity model for sustainable and smart tourism governance enabling sustainable tourism innovations via tackling the challenges above. We adopted Dynamic capability theory as a theoretical lens and introduced Design science research methodology in order to develop a new capability maturity governance model as a design artifact. As a result of the study, we could synthesize findings from iterations of the design research cycle based on the IT Capability Maturity Model. Our result proposes a potential capability maturity model supporting effective communication and strategic alignment for the initiatives with illuminating future paths with evaluation methods on tourism capabilities for the initiatives. Throughout this study, we contribute to the body of knowledge as well as practice by proposing a new tourism capability governance model.

• The Journal of Internal Korean Medicine
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• v.33 no.1
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• pp.54-61
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• 2012

Objectives : This study aimed to obtain general information for the design of a medical tourism plan toward Chinese using Korean medicine (KM). Methods : A questionnaire was asked of Chinese tourists regarding of Korea traditional medical tourism. 148 valid responses were obtained and their awareness of KM, and preferred subject and decision factors for their participation in Korea traditional medical tourism were analyzed using SPSS version 12.0. Results : 72% of respondents showed over a moderate degree of interest in medical tourism of KM. The most preferred subject was skin aesthetics, followed by medical check-ups and rehabilitation. Medical skill level, communication, and medical cost were indicated as the important factors for participants' decisions about KM-based medical tourism. Conclusions : Medical tourism could be a potential avenue for development by the KM-based Korean medical industry. Cosmetic-associated medical services are recommended, and enhanced public relations about KM-medical skill levels are strongly suggested for Chinese tourists.

• Asia pacific journal of information systems
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• v.26 no.4
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• pp.561-576
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• 2016

This paper aims to develop a conceptual model of smart tourism destination competitiveness to provide implications in terms of smart tourism destination realization and smart tourism destination competitiveness development. A literature review on tourism destination competitiveness and smart tourism destination is performed. A conceptual model is suggested on the basis of the model of destination competitiveness developed by Crouch and Ritchie (1999). The suggested conceptual model integrates the traditional concepts of comparative advantages and competitive advantages, seven core resources and attractors, and five destination management factors. Smart technology is included as a new core resource and attractor in the model. This study is the first to comprehensively conceptualize smart tourism destination competitiveness. Moreover, this study has practical value in the sense that it focused on the convergence between smart technology and other factors.

• 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 Smart Tourism
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• v.1 no.3
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• pp.17-20
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• 2021

Technology and tourism have become inseparable, and technological innovations propose new services to the tourism industry. During the current pandemic, service robot usage has increased more than at any other time which comes with advantages and disadvantages. This paper discusses the opportunities and challenges of utilizing service robots in the service industry during and after the pandemic crisis. The study follows a content analysis methodology. Findings indicate that service robots are easy to access, offer an alternative form of communication, reduce costs and boost operational safety; in contrast, robotics increase unemployment and cause anxiety and depression among the demoralized employees.

• Journal of Korean society of Dental Hygiene
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• v.12 no.4
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• pp.715-722
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• 2012

Objectives : The purpose of this study is to suggest an effective future development direction of dental medical tourism in Korea by examining dental hygienists' perception of medical tourism and factors which are necessary to boost medical tourism. Methods : The subjects in this study were the dental hygienists who worked in Seoul. The study was conducted on 189 people who participated in refresher training, which was held in November 2010, by the Seoul Dental Hygienist Association. Self-administered questionnaire surveys were used. Results : 1. 106 people (56.1%) responded that medical tourism is "a tour to treat illness" and 73 (39.5%) responded that the introduction of medical tourism is "timely." 2. opposition against the introduction of medical tourism accounted for the highest proportion (61.6%) and the reason for it was "concern for mushrooming of untested types of medical treatment." 3. 131 people (71.6%) responded that they are willing to participate in medical treatment of medical tourism and 172 (93.0% of participants) cited "communication" as a most difficult issue. 4. Those who recognized medical tourism proved to have higher intentions to invest time and money to prepare for it (p<.002). Conclusions : In order to boost medical tourism, a unified treatment program for foreigners and training program for medical staff throughout the hospitals should be established.