• Asia pacific journal of information systems
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• 제28권2호
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• pp.93-113
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• 2018

Destination attributes represent the attractiveness of destinations that pull tourists to visit them. Destination marketers must understand what motivates tourists to choose certain destination attributes before they travel. Considering religious tourists plays an important aspect in influencing travel decisions, especially destination choices. For instance, the appearance of Islamic religious attributes in destinations can delight Muslim tourists and stimulate their satisfaction and loyalty. This study examines smart tourism city. In particular, it investigates the effects of Seoul's destination attributes on Muslim tourists' satisfaction and loyalty to South Korea. Results show that non-Islamic destination attributes (conventional attributes) have positive relationship with Muslim tourists' satisfaction, and their satisfaction is positively related to their loyalty toward South Korea as a travel destination.

• 한국컴퓨터정보학회논문지
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• 제23권10호
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• pp.203-207
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• 2018

The purpose of this study is to investigate how smart tourism is applied to hotels and residences using ICT in Korea. Smart tourism is similar often used as a concept such as u-tourism, e-tourism, and digital tourism but the most similar of ubiquitous. This is reflecting to the fact that the recent trend of tourism has been decreasing from the large scale to the individual but the customers demand has been increasing, so we have examined how the hotel and the residence are adapting this situation. As a results, hotels and residences in Korea are reflecting to improve work process and remodeling of customer service.

• Asia pacific journal of information systems
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• 제29권3호
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• pp.448-467
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• 2019

In a new age of smart tourism, free independent travelers (FITs) choose their travel routes in a more diversified and less predictable way with the aid of smart services. This paper focuses on the movements of Chinese outbound FITs in the U.S. in the year of 2018. 110 places to visit (destinations) extracted from 122 travel routes recommendations on Qyer.com, a major online travel community in China, are analyzed with social network analysis (SNA). Based on the results of SNA, employing degree centrality, eigenvector centrality, betweenness centrality, network visualization, and cluster diagram methods, some preferred cities and natural attractions outside city centers (i.e., New York City (NYC), Los Angeles, San Francisco, Washington D.C., and Niagara Falls) are identified. Moreover, it is found that NYC in the East and Los Angeles in the West play a major role in the movements of Chinese FITs. This study contributes to the body of knowledge on tourist destination movements and provides valuable implications for smart service development in the tourism and hospitality industry.

• 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.

• 지식경영연구
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• 제20권1호
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• pp.101-132
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• 2019

In order to enhance the competitiveness of tourism destinations, it is important to manage tourist products considering the characteristics of tourist destinations and the characteristics of tourists. In this study, we divided Seoul's tourism products into four parts (shopping, food, culture, and natural landscape) to explore if there are some direct connections between tourism product involvement, self-congruity, and functional congruity. The other research question is if the degree of tourism product involvement reaches a certain intensity, will the place attachment be generated and the destination satisfaction be fulfilled. The survey was the focus on the international visitors in smart city, Seoul by using the random sampling and convenience sampling and collected 250 data. Finally, we found that destination personality significantly affects both self-congruity and functional congruity. If self-congruity and functional congruity are formed, tourism product involvement will be stimulated which will finally satisfy tourists and arouse their place attachment. The implications of these findings contribute to destination marketers to develop more effective destination management.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2018년도 제58차 하계학술대회논문집 26권2호
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• pp.254-255
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• 2018

본 연구는 이러한 4차 산업혁명과 연계된 스마트관광도시를 육성하는데 있어 무엇이 필요하며 추후 나아가야할 방향에 대해 알아보고자 한다. 특히 최근 관광상품을 이용하는 고객들의 다양한 니즈(needs)를 파악하기 위해서는 빅데이터 기술과 호텔 및 관광관련 제품구매 등 지불과 관련 핀테크 기술 마지막으로 관광산업에 속한 기업들 서로가 데이터를 연결 및 공유할 수 있는 초연결 기술과 데이터 중심 관광도시 등 다양한 부분에 걸쳐 알아보고자 한다.

• 한국농촌건축학회논문집
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• 제23권3호
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• pp.9-18
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• 2021

This paper conducted a survey of residents and public officials for the projects to make smart-city plans of Geumsan-gun. In introduction, several domestic and foreign cases related to smart-city projects were Investigated. To initiate the smart-city project of Geumsan-gun, the local status of Geumsan-gun was investigated regarding various aspects of natural, social, urban environment and smart-city facilities. The results of this survey are as follows: Overall, more than half of survey respondents said they had satisfaction of their housing quality. Several problems in their residence areas, such as insufficient welfare systems, shortage of parking spaces, industrial infrastructure, were reported. Meanwhile, the survey result indicated that tourism and leisure facilities, health care support systems, industries promote the economy and job market of the area. An interview with public official is also important to select the relevant meaningful projects and regional issues. Three models for each spatial unit were proposed in Geumsan-gun based on the natural, agricultural, and geographical environment. In result, the three smart-city models are categorized as urban type(large area), complex city type(medium area), and smart village type(small area)

• International journal of advanced smart convergence
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• 제13권2호
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• pp.166-171
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• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• 한국지리정보학회지
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• 제21권3호
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• pp.149-161
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• 2018

항만수변도시 재생계획에 스마트 성장원칙을 적용하기 위해 도시계획요소와 성장원칙에 대한 연관성을 분석한 결과 적용 가능성이 높은 것으로 나타났다. 연관성 분석에서 도출된 스마트 성장원칙을 제주시 탑동 재생계획에 적용할 수 있는 디자인 가이드라인 요소는 ⯈ 걷기에 적합한 커뮤니티 조성, ⯈ 확실한 장소성을 가진 차별화되고 매력적인 커뮤니티 조성, ⯈ 오픈스페이스, 바닷가, 아름다운 자연경관, 환경적으로 중요한 지역보존, ⯈ 기존커뮤니티를 위한 개발 강화와 유도, ⯈ 교통수단선택의 다양성 제공 등이다. 이를 기반으로 제주항 재개발계획에는 ⯈ 복합적 토지 이용 ⯈ 고밀설계방식의 이점활용, ⯈ 다양한 주거기회와 선택권 제공 등을 실시 설계 시 적용할 것을 제안하였으며 통합적인 항만수변도시 재생계획 시 스마트 성장원칙을 적용할 필요성이 높은 것으로 조사되었다.

• 경영정보학연구
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• 제21권2호
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• pp.1-27
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• 2019

정보기술의 발전으로 스마트한 관광서비스가 가능해졌는데, 관광산업이 기존 산업 범위를 벗어나 다른 산업과 융합을 통해 새로운 비즈니스 모델이 지속적으로 창출되기 위해서는 관광객들의 소비유형, 서비스 이용패턴 등을 정확히 이해하도록 빅데이터를 이해하고 활용하는 것이 필요하다. 본 연구는 제주 스마트 관광 활성화 방안을 제시하고자 제주도를 방문한 국내외 관광객의 카드사용 데이터와 위치기반 데이터를 기반으로 관광 빅데이터 분석을 수행하였다. 분석결과 사드의 영향으로 중국인 관광객의 제주도 방문율이 감소한 것을 알 수 있다. 소비현황분석 결과, 공항과 면세점이 위치한 북부지역에서 중국인 관광객 소비 대부분이 발생하고 있으며, 다른 지역에서의 중국인 관광객 소비수준은 매우 낮게 나타났다. 제주시 구도심 및 서귀포시 지역 경제는 전반적인 정체를 보이며, 정책 변화가 없는 한, 현재 지역 특성에 따른 소비트렌드 및 성장성이 유지될 전망이다. 셋째, 젊은 관광객의 고객 수뿐만 아니라 소비금액 비중도 증가하는 추세로, 젊은 세대들이 한 공간에서 먹고, 마시고, 쇼핑할 수 있는 제주도 복합쇼핑몰 설립으로 지속적 유입을 유도할 수 있는 방안 마련이 필요하다. 마지막으로 제주도의 와이파이 경로 분석을 통해, 관광객의 이동경로를 파악하여 날씨, 쇼핑, 편의시설, 교통 등 생활밀착형 서비스를 제공할 필요가 있다. 이러한 분석결과를 토대로 제주 관광객의 관광 행동을 이해하고 활성화 방안을 위한 공공정책과 마케팅 전략을 제시하였다.