• 한국콘텐츠학회논문지
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• 제11권12호
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• pp.909-918
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• 2011

현대관광은 관광지를 돌아보는 단순한 관광에서 체험하는 관광, 생각하는 관광으로 빠르게 진화하고 있다. 때문에 이러한 체험관광(experiential tourism) 시대에 문화관광해설사의 관광해설은 관광자의 체험관광에 매우 중요한 의미를 지니고 있다. 이에 본 연구는 우리나라의 대표적 궁궐인 경복궁 문화관광 해설 프로그램을 이용한 관광객을 대상으로 문화관광 해설내용과 해설능력의 2가지 측면에서 관광자 만족과 재방문 의도에 미치는 영향을 분석한 결과, 첫째, 해설내용 측면에서 해설가치성과 해설흥미성 2가지 요인 모두 관광자 만족에 긍정적 영향을 미치는 것으로 나타났으며, 둘째, 해설능력 측면은 해설진행성과 해설태도성은 관광자 만족에 긍정적인 영향관계를 미치는 것으로 나타났으나 관객소통성은 유의하지 않은 것으로 나타났다. 셋째, 관광자 만족은 재방문 의도에 긍정적 영향을 미치는 것으로 나타났다. 연구결과 해설내용과 해설능력 모두 문화관광해설의 중요한 요소임이 증명되었다. 이를 통해 본 연구는 문화관광해설사 재교육 프로그램의 체계적 운영관리 및 처우와 지위에 대한 정부차원의 지원 등이 필요함을 시사하고 있다.

• 경영정보학연구
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• 제16권3호
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• pp.69-87
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• 2014

관광과 정보통신기술(Tourism and Information Communication Technology: ICT)의 결합은 관광산업 전체에 있어서도 ICT의 획기적인 변화를 야기하고 있다. e-관광(eTourism), 가상 관광(Virtual Tourism), 스마트 관광(Smart Tourism) 등의 다양한 용어들이 지난 10여 년간 등장하였지만, 스마트폰의 등장으로 인한 관광에서의 새로운 패러다임은 관광산업과 학계를 통틀어 충분히 논의된바 없다. 관광에서 ICT의 역할에 대한 기존문헌을 살펴보면 사용자 관점에서 관광객의 행동, 커뮤니티, 멀티미디어와 웹, 지능형 시스템, 스마트 관광의 5가지 주요흐름이 있는 것을 알 수 있다. 이에 본 연구는 스마트 관광의 개념을 기반으로 하여 스마트 관광 생태계에 대해 살펴보려고 한다. 본 연구에서 제시하는 스마트 관광 생태계(Smart Tourism Ecosystems)는 관광객, 유통채널, 공급채널, 정보, 지자체 등의 이해관계자들이 가치를 창출하는 개념이다. 이에 본 연구에서는 "공유가치 창출(Creating Shared Value)"이라는 관점에서 스마트 관광 생태계를 조망하고자 한다.

• Journal of Smart Tourism
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• 제1권3호
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• pp.3-5
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• 2021

The advancement of Information Communication Technology has provided tourism researchers with a golden opportunity to access big data, which plays a critical role in smart tourism. Recognizing the current issue, this paper discusses the evolution of the literature on tourism big data focusing on conceptual understanding of and types of big data, and insights from big data analytics. Indeed, this article provides important research agenda for future tourism researchers who would like to conduct academic research about big data and smart tourism.

• 디지털융복합연구
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• 제12권3호
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• pp.391-397
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• 2014

본 논문에서는 21세기 신성장 동력산업으로 세계적인 관심을 받고 있는 의료관광에 대해서 살펴보고자 한다. 의료와 관광이 협조적인 구도하에서 시너지 효과를 가져오게 되는 의료관광은 2009년을 원년으로 도약하기 시작하여 2012년 현재 괄목한 성장을 보이며 성장하고 있다. 본고에서는 성장하는 의료관광시장을 조망해보고 향후 지속적인 발전과 글로벌 한국의료의 성장을 위해 발전적 제언을 하고자 한다. 이를 위해서한국의 5대 대형병원의 의료관광객 유치에 대해 살펴보고 이를 근거로 의료비의 투명한 관리와 적극적인 서비스를 위한 홈페이지 구축, 의료업계와 관광업계의 협력구도제안 및 의료커뮤니케이션의 활성화를 제안한다. 즉 질병위주의 치유목적적 의료관광객의 정확한 의사소통을 위한 전문의료 통역사의 양성과 의료관광의 원할한 진행과 서비스를 위한 국제의료코디네이터양성의 이중 채널 커뮤니케이션이 필요하다. 또한 의료계에 비해 상대적으로 열악한 관광업계의 인프라 구축을 위한 창의적인 노력이 필요함을 지적하였다.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.262-268
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• 2022

The main purpose of the study is to determine information and communication technologies for the innovative development of tourism training in higher education institutions in the context of COVID-19. Innovative development is associated with the rejection of well-known cliches, stereotypes in teaching, upbringing and personal development, creates new standards for personal-creative, individually directed tourism activities, develops pedagogical technologies implemented in this activity. As a result, the main aspects of information and communication technologies for the innovative development of tourist training in higher education institutions in the context of COVID-19 were characterized.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.326-331
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• 2023

Korea's cultural content industry can develop into another unique tourism industry. However, since other prior studies focus on the Japanese content industry, this study identifies modern industrial trends by combining the unique characteristics of Korean content, that is, cultural content tourism, and the analysis ability of big data. The current status and direction of the cultural content tourism industry were studied by utilizing the extensive information collection and in-depth analysis capabilities of big data, and as a result, it was confirmed that the trend of the cultural content industry is related to the business aspect of cultural content, not the pure content interest of cultural content. This shows that Korean cultural contents have a strong business aspect. As a limitation, when research design was conducted using social media big data, the age, gender, etc. of the subject analyzed with unique anonymity could not be known. The Korean cultural content industry is expected to be successful in terms of business.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.43-49
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• 2024

In early 2020, as the COVID-19 pandemic hit the world, widespread changes occurred throughout society. COVID-19 also brought changes in consumers' consumption behaviors and preferences. This study aims to find out how the current status of the tourism industry and the coffee industry has changed since the end of COVID-19 by conducting big data analysis focusing on the search frequency of Naver, Google, and the following, which are representative social networks in Korea. Designating "Coffee Industry + Tourism Industry" as the representative keyword, January 1, 2020 to December 31, 2020, the time of each COVID-19 outbreak, was set before the COVID-19 type, and January 1, 2023 to December 31, 2023 was set after the end of COVID-19. Based on the analyzed search binder big data analysis within the period, we would like to find out how the current status of the tourism industry and the coffee industry has changed since the end of COVID-19. Finaly, the coffee and tourism industries are on the path of recovery and growth. In particular, the rise in coffee consumption, the recovery of the number of tourists, the emphasis on local tourism, and the strengthening of links with global markets are prominent.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.180-184
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• 2024

Since COVID-19, many foreign tourists have visited Korea for medical tourism. When statistical data were checked from 2022, after COVID-19, the number of foreign patients visiting Korea for two years was 24.8 million, an increase of 70.1% from 2020. It was confirmed that it has achieved a 50% level compared to 2019 (Statistics Office, 2023). Therefore, to create a development plan by linking medical tourism and wellness tourism, the purpose of this study is to find the link between medical tourism and wellness tourism as big data and present a development plan. In this research method, medical tourism, and wellness tourism for two years from 2022 to 2023 from the post-COVID period as big data are set as central keywords to compare text data to find common points. When analyzing wellness tourism and medical tourism, it was confirmed that most wellness tourism had a greater frequency than medical tourism. This confirmed that wellness tourism occupies a larger pie than medical tourism. As a result, when checking the word frequency, it was confirmed that wellness tourism and medical tourism share a lot as complex tourism products, and when checking 2-gram, to attract many medical tourists, it is necessary to combine medical tourism clusters and wellness tourism according to each other's characteristics among local governments.