• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.898-899
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• 2023

COVID-19 가 종식되어 관광산업이 활발해짐에 따라 외래관광객 데이터를 분석하여 활용할 필요가 있다. 한국관광 데이터랩의 외래관광객 조사 보고서는 설문을 통해 수집한 데이터에 대해 각 요인별 통계를 제공하고 있지만 복합적 요인으로 분석하기 어렵다. 본 연구는 2017 년부터 2022 년까지 한국관광 데이터랩의 외래관광객 조사 데이터를 Microsoft Power BI 를 통해 분석하여 여성 20대, 서구 관광객의 방한 활동과 방한 고려 요인 등 복합적 주요 영향 요인을 도출하고 그에 따른 발전 방향을 결론에서 제시한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.431-434
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• 2013

국민관광객과 방한 외래관광객의 증가(문체부, 2012)로 도서와 해안지역에 대한 관광수요가 확산됨에 따라 중앙정부와 지방정부는 등대(예 : 영도등대, 간절곶등대, 울기등대, 거문도등대)를 중심으로 국민생활속의 해양관광공간, 해양레저스포츠공간, 어촌체험공간, 유통관광중심의 어항개발 및 크루즈관광활성화를 위하여 노력하고 있다. 새로움을 추구하는 관광객의 욕구가 증가하면서 틈새관광(niche tourism)의한 형태로 도서 관광(small island tourism)이 주목되고 있다(김영준, 2011). 내륙 중심의 관광에서 해양 관광으로 관심이 변화 확산되면서 친수공간시설에 대한 관광수요의 증가가 예상된다(이한석, 심미숙, 2009). 이와 같은 현실에서 도서에 위치하고 있는 등대자원을 활용하여 관광객의 욕구를 충족시킬 수 있는 등대관광활성화가 기대된다. 등대가 전통적인 기능과 역할에 충실한 항로표지로서 뿐만 아니라 공공서비스장소로서 해양문화를 향유할 수 있는 체험의 장을 제공하고 건축문화유산으로서의 역사성과 등대 고유의 기능에 대한 관광객의 흥미와 욕구를 잘 접목시켜 해양관광자원으로서의 가치를 극대화할 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.154-157
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• 2016

최근 스마트폰의 보급과 더불어 근거리 무선 통신의 발달로 인해 다양한 서비스들이 연구 개발되고 있다. 한국에 방문하는 외래 관광객 수는 꾸준히 증가하고 있는 추세이며, 이 중 중국인 관광객은 2013년 기준 전체 방한 외국인 관광객 중 약 35.5%를 차지하였다. 중국인 관광객의 82.8%가 쇼핑을 목적에 두고 있으며, 그 중 향수, 화장품, 의류 항목에 가장 많은 여행시간을 투자하고 있다. 또한 방한 중국인 관광객 중 대다수가 인터넷을 사용하여 관광 정보를 입수 하고 있지만, 이러한 정보를 편리하게 제공할 서비스는 부족한 상황이다. 본 논문에서는 현재 발달되고 있는 근거리 무선 통신 중 NFC와 Beacon을 활용하여 안드로이드 기반의 관광 큐레이션 플랫폼을 구현 하였다. NFC 태그를 활용하여 쇼핑, 관광 관련 정보 및 정확한 제품 및 서비스 정보를 제공하고, Beacon을 이용하여 매장정보 및 각종 마케팅 프로모션과 이벤트 정보를 수신하도록 하였다. 추가적으로 현재 많이 사용되고 있는 Zxing 라이브러리를 활용한 QRCode 및 Barcode 리더기를 활용하여 스캔을 통한 제품 정보를 확인 가능하도록 구현하였다.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.31-41
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• 2017

Foreign tourists who are visiting Korea urban tourism destination have been continuedly growing and more various tourism products and service are requested to fit those foreign tourists' needs and wants. Accordingly, tourism contents and its satisfaction in urban tourism destination have been developing to provide more valuable products and service to tourists. This study was conducted to segment foreign tourists based on 4 different tourism urban destination contents, including destination facility contents, leisure entertainment contents, shopping contents, accommodation contents. Cluster analysis provided four different groups based on the mean score of urban tourism destination contents. MANOVA was conducted to identify whether ot not there are differences among the segmented groups in terms of travel performances and destination loyalty, Chi-square analysis were also conducted to see if there are differences among the segmented groups based on demographic informations. Theoretical and practical implication were discussed in the conclusion section. The results of this study would be helpful for tourism products planners and developers.

• Korean Journal of Human Ecology
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• v.11 no.4
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• pp.367-380
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• 2002

This study tries to search and analyze empirically the clothing merchandise purchase motivation and behavior made by foreign visitors who bought clothes as tour memorials in South Korea. To make a empirical study we made survey research and evaluated 30 items for the survey of clothing purchase motivation and 25 items for the survey of the importance and satisfaction revealed at the time of purchase with the standard of Likert 5 point. We had chosen 614 sample participants including 176 English speakers, 211 Japanese speakers, and 277 Chinese speakers among those foreign tourists who had purchased clothing materials at the Dongdaemun Shopping Mall. The result of analysis is as follows : As the result of factor analysis about the clothing merchandise purchase, we had 6 factors. They are (1)impulse, (2)utility, (3)fashionableness, (4)tour commemoration (5)psychology (6)economy. As the result of cluster analysis based on the standard of selected 6 factors of clothing merchandise purchase motivation, we could divide three groups such as (1)the pursuit type of clothing merchandise purchase, (2)the pursuit type of recreation of feeling (3)the pursuit type of tour memorial. As the result of analysis on the items of purchased clothing merchandise, the highest frequency of purchase was made by T-shirt, then by the order of sweater, blouse, and aloha shirt, pants, and jacket. In regard to the importance of items related to clothing merchandise, the highest importance was made by design, then by the order of price, size, color and utility, and style. In regard to the items related to the service of shopping mall, the highest satisfaction was made by the convenience of business hour. Meanwhile, the lowest satisfaction was made by the inconvenience of fitting room, the speaking and by ability of foreign languages by sales agents.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.87-94
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• 2021

The purpose of this study is to categorize tourists according to the types of Korean popular culture as travel motives and to explore their characteristics and behavior in the tourism-related decision-making process. A sample of 12,914 leisure tourists from the 2018 foreign tourist survey data was analyzed using MNL and ANOVA. The popular cultural tourists were categorized into K-food, K-fashion, and K-pop groups. They showed a higher percentage of female tourists, social media usage in the tourism information search, and visits from countries geographically close to Korea. K-pop tourists did not hesitate to choose Korea as the destination and visited Korea the most frequently. They showed the highest satisfaction, revisit intention and recommendation intention, suggesting loyalty and growth potential.

• Management & Information Systems Review
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• v.32 no.3
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• pp.1-23
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• 2013

In this study, we try to investigate the spillover effects of volatility in international tourists arrivals between Korea and US, Japan, China by using the multivariate BEKK model from January 2005 to January 2013. In the results of this study, after the global financial crisis, we found a cointegration relationship and tourist arrivals of Japan were adjusted to recovery in the short term. Also tourists arrivals from China and Japan showed the long-term elasticity. In the conditional mean equation of a BEKK model, there were the spillover effects. And in the conditional variance equation, ARCH(${\epsilon}^2_t$) coefficients showed a strong influence on the arrivals of their own and the spillover effects and the asymmetric effects on the volatility of China and Japan arrivals. In GARCH(${\sigma}^2_t$) coefficients showed the asymmetric effects and the spillover effects of the conditional volatility among source arrivals. Therefore, we examined the asymmetric reaction of one-way or two-way tourist arrivals between source countries and Korea and the spillover effects related to tourists arrivals of source countries to Korea. We has confirmed a causal relationship between some of the tourists arrivals from source countries to korea.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.97-109
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• 2024

In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.