• Journal of Smart Tourism
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• 제1권2호
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• pp.19-25
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• 2021

Before COVID-19, tourist destinations have experienced problems with congestion of both famous tourist attractions and public transportation. Over-tourism is not an issue at this time, but it is likely to rekindle after the COVID-19 pandemic ends. One method of mitigating over-tourism is to estimate tourist behavior using a tourist transition model and consequently adjust public transportation operations. In this study, we propose a construction method for a model of tourist transitions among tourist attractions based on tourist GPS trajectory data. We construct tourist transition models using actual trajectory data for tourists staying in the vicinity of Kyoto City. The results verify the model performance.

• Journal of Smart Tourism
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• 제1권1호
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• pp.19-30
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• 2021

Smart tourism technologies are becoming ever more pervasive and an increasing number of destinations and hospitality establishments are investing in smart tourism initiatives. However, while governments and businesses around the world are aggressively pushing the smart tourism agenda forward, smart tourism research initiatives are still in their infancy and seem to not fully cover the whole spectrum of smart tourism-related issues and questions. This paper conducts a systematic review of existing smart tourism literature to determine the status quo of smart tourism research and to identify research gaps. Considering the steep growth of smart tourism initiatives starting at the beginning of this decade, this paper reviews publications on smart tourism over the last 8 years. All publications for which the keyword "smart tourism" appears in the title, keywords or abstract were included in the sample.

• 한국산학기술학회논문지
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• 제21권3호
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• pp.370-379
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• 2020

본 연구는 국제무역 분야에서 많이 활용되는 발라사 지수와 변이할당분석방법을 이용하여 우리나라 관광산업의 성장 특성과 경쟁우위 변동 현황을 다른 동북아시아 지역 국가들과 비교 분석하였다. 분석 결과 지난 10여년간 우리나라 관광산업의 성장은 주로 세계 경제 전반의 성장과 관광산업의 비중 증가 등 외적인 요인에 힘입은 것으로 관광부문 자체의 성장 동인(動因)의 역할은 크지 않았던 것으로 확인되었다. 다만 관광부문의 고용은 매출액이나 부가가치에 비해 상대적으로 더욱 크게 증가한 것으로 나타나는데 이는 우리나라 경제 전반의 고용창출 역량이 저하되는 가운데 소규모 음식·숙박업 등 관광산업 부문에서 이러한 노동력을 일부 흡수하였기 때문인 것으로 보이며 이는 우리나라 관광산업 부문의 영세화 진전과도 관련이 있어 보인다. 우리나라 관광부문의 경쟁우위는 지난 10여년간 완만하게 개선되어 왔으나 다른 국가들에 비해서는 여전히 열위에 있어 향후 개선할 여지가 많은 것으로 분석되었다. 한편 중국의 경우는 내국인 관광을 포함한 관광부문은 빠르게 성장하였으나 여행수지로 드러난 관광부문의 국제경쟁력은 오히려 약화된 것으로 확인되었다. 반면 일본의 경우는 지난 10여년간 관광부문의 양적인 성장은 미약했던 반면 국제적인 경쟁우위는 크게 향상된 것으로 나타난다.

• Journal of Smart Tourism
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• 제3권1호
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• pp.41-47
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• 2023

Tourism and hospitality have encountered significant changes in recent years as a result of the rapid development of information technology (IT). Customers now expect more expedient services and customized travel experiences, which has intensified competition among service providers. To meet these demands, businesses have adopted sophisticated IT applications such as ChatGPT, which enables real-time interaction with consumers and provides recommendations based on their preferences. This paper focuses on the AI support-prompt middleware system, which functions as a mediator between generative AI and human users, and discusses two operational rules associated with it. The first rule is the Information Processing Rule, which requires the middleware system to determine appropriate responses based on the context of the conversation using techniques for natural language processing. The second rule is the Information Presentation Rule, which requires the middleware system to choose an appropriate language style and conversational attitude based on the gravity of the topic or the conversational context. These rules are essential for guaranteeing that the middleware system can fathom user intent and respond appropriately in various conversational contexts. This study contributes to the planning and analysis of service design by deriving design rules for middleware systems to incorporate artificial intelligence into tourism services. By comprehending the operation of AI support-prompt middleware systems, service providers can design more effective and efficient AI-driven tourism services, thereby improving the customer experience and obtaining a market advantage.

• 통상정보연구
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• 제12권4호
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• pp.345-362
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• 2010

It is necessary to develop new competitive products under the world economic downturn. The medical tourism industry a good example and it has grown rapidly for last couple of years. This paper aims to investigate socio-demographic proxies of inbound medical tourists in Korea. In particular, the medical tourist behaviors are modeled by considering the factors such as acquisition process of medical tourism information, service level of medical tourism industry and the choice attributes. The results of this study are summarized that: 1) Moot inbound medical tourists are over 40-years old with professional occupation accompanied with families; 2) The information resources are mainly acquired from travel agents and WOM(Word of Mouth) such as friends and relatives; 3) Current problems are lack of various promotion channels and the competitiveness of medical coots; 4) The inbound medical tourists are not homogeneous but vary in different segments. The study suggests that various marketing strategies should be implemented for target market segments to promote Korea as a medical tourism hub.

• 대한한방내과학회지
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• 제33권1호
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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.

• 한국항만경제학회지
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• 제26권4호
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• pp.247-268
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• 2010

관광은 세계적으로 급속도로 성장하는 가장 큰 산업 중의 하나이며, 수많은 개도국과 선진국들에서도 중추 산업으로 자리 잡고 있으며, 많은 국가에 있어서 자국의 소득수입, 일자리창출, 국가재정 수입의 중요한 원천으로 역할을 하고 있다. 그러나 이처럼 관광산업의 급격한 확대로 인하여, 여러 관광지역에서 환경파괴적인 측면과 사회문화적인 측면의 영향을 야기해 왔다. 관광과 마찬가지로, 크루즈관광의 급속한 성장 또한 크루즈선 기항지지역의 환경적 문화적 자원에 큰 영향을 주었다. 본 연구를 통해서 연구자는 지속가능한 관광인프라를 구축하는데 있어서 크루즈관광으로 인해 발생되는 국내외적인 환경적인 영향을 최소화시킬 수 있는 방안을 고찰하는데 논의의 초점을 두고자하였다.

• 한국병원경영학회지
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• 제15권4호
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• pp.165-190
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• 2010

Objectives : This study was supposed to investigate factors which influence to preference of medical tourism products of Japanese tourists in Seoul, Korea. Methods : Data were collected from 228 Japanese tourists who visited' Seoul Center for Culture & Tourism' in Myeong-dong, Seoul, Korea. We measured factors which influence to preference for medical tourism. The data were analyzed by T-test, ANOVA, and multiple regression analysis. Results : The major findings were as follows ; Japanese tourists preferred medical products in the order of skin care, oriental medicine treatment, health screening, and scaling & teeth whitening. They considered technical level of medical staff most importantly, followed by safety of medical products, communication during diagnosis and treatment, follow-up service, modernization of medical facilities and equipment, and the reasonable medical expenses. Japanese tourists' preferred medical institutions in the order of a university hospital, a specialty clinic, a special hospital, They said they intend to pay 50,000 to 150,000 yen for medical tourism. The preference to medical tourism products are that single women group in their twenties and thirties for skin care, married people group aged over thirties preferred oriental medicine treatment, and married men aged over forties and high income earners favored health screening. Conclusions : It should be considered carefully that the preference exists on some factors especially for Japanese tourist. Further research about preference on medical tourism products for tourists from the other countries is required appropriately to fulfill the needs.

• 응용통계연구
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• 제36권5호
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• pp.473-488
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• 2023

국내 대표 관광지인 강원도는 관광수요가 일부 지역에만 편중되어 있어 지역별로 다른 관광추이를 보인다. 따라서 각 지자체의 관광 활성화 방안 수립과 지역간 균형발전을 위해 각 지역의 관광 특성을 파악하고, 연도별 관광패턴을 비교하는 것이 중요하다. 본 논문에서는 최근 4년간의 강원도 관광 자료를 이용하여 지역을 군집화하고, 군집별 관광패턴을 Jeon 등 (2021)이 제안한 비유클리디안 가법모형으로 분석하였다. 이때, 연령대에 따른 방문자 수 비율과 방문지 유형에 따른 내비게이션 검색 수 비율을 공변량으로 하고, 업종별로 구분된 관광지출액 비율을 반응 변수로 하였다. 모형의 추정을 위해 평활역접합 방법과 성분별 띠폭 선택법을 이용하였다. 그리고 삼각 도표를 통해 추정된 모형을 시각화하고, 군집별로 적합 오차에 대한 예측 오차비율을 비교하여 연도별 관광패턴 변화를 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권5호
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• pp.1260-1272
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• 2024

This paper tackles the prevalent challenges faced by existing tourism route recommendation methods, including data sparsity, cold start, and low accuracy. To address these issues, a novel intelligent tourism route recommendation method based on collaborative filtering is introduced. The proposed method incorporates a series of key steps. Firstly, it calculates the interest level of users by analyzing the item attribute rating values. By leveraging this information, the method can effectively capture the preferences and interests of users. Additionally, a user attribute rating matrix is constructed by extracting implicit user behavior preferences, providing a comprehensive understanding of user preferences. Recognizing that user interests can evolve over time, a weight function is introduced to account for the possibility of interest shifting during product use. This weight function enhances the accuracy of recommendations by adapting to the changing preferences of users, improving the overall quality of the suggested tourism routes. The results demonstrate the significant advantages of the approach. Specifically, the proposed method successfully alleviates the problem of data sparsity, enhances neighbor selection, and generates tourism route recommendations that exhibit higher accuracy compared to existing methods.