• Title/Summary/Keyword: 국제관광트렌드

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A study on Korean tourism trends using social big data -Focusing on sentiment analysis- (소셜 빅데이터를 활용한 한국관광 트렌드에 관한연구 -감성분석을 중심으로-)

  • Youn-hee Choi;Kyoung-mi Yoo
    • 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.

A Study on Evaluating Tourism Value and Presenting Development Strategies for the Saemangeum Project (새만금지역의 관광자원 가치와 개발방안에 관한 연구)

  • Kim, Hak Yong
    • Journal of Industrial Convergence
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    • v.17 no.2
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    • pp.9-14
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    • 2019
  • This study was carried out to investigate how the basic plan of the Saemangeum development project that has been developed by the government since 1991 has been changed and to present a new development strategy by analyzing the future value and tourism resource value of Saemangeum development. The research methodology is based on the in - depth analysis methodology of the time series research materials and press releases published by the Saemangeum Development Administration, which oversees the development of Saemangeum. The government announced a plan to significantly reduce agricultural land and increase the proportion of non-agricultural land to 70% in order to create a multifunctional complex. After that, the government revised the basic plan of Saemangeum in 2014 and changed the plan to tailor the investment demand in order to cultivate investment demand, and introduced the special economic cooperation system for global economic cooperation. Therefore, the purpose of this paper is to analyze the process of Saemangeum development to date and to evaluate the value of Saemangeum development as a tourism resource, centered on the Master Plan of the Saemangeum Development Project changed by the government. Based on the results of this analysis, I would like to present the vision of Saemangeum tourism development considering Saemangeum 's environment and characteristics of the surrounding scenery by referring to trends and similar cases of international tourism.

The Effect of Dessert Cafe's Servicescape on CustomerEngagement through Big Data Analysis (빅데이터 분석을 통한 디저트 카페의 서비스스케이프가 고객인게이지먼트에 미치는 영향)

  • DAYOUNG NO;GI-HWAN RYU
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.693-697
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    • 2023
  • As of 2022, dessert cafe trends are changing faster, customers' needs are becoming more demanding, and Koreans' consumption tendencies are changing rapidly, so this study investigates servicescape and customer engagement factors for dessert cafes through big data to identify servicescape and customer engagement factors.

A Study on Tourism Resource Strategy of Film Location using Social Bigdata based on SNS Trend Analysis of Jeonju Area (소셜 빅데이터를 활용한 영화촬영지 관광자원화 방안 -전주 지역의 관광체험 SNS 동향 분석을 토대로-)

  • Park, Ji-Yeong;Kim, Geon;Kim, Chan-Young;Oh, Hyo-Jung
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.477-487
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    • 2016
  • In 1995, the filming location of the drama had been famous, and as a result it brings the effect of increasing tourists of that areas. After that, many local governments try to host the filming on their regions to be potential tourist attractions. With the same stream, Jeonju also has attempted to host International Film Festival and to set up Jeonju Film Commission and Jeonju Cinema Complex. However, although the city already has rich infrastructure facilities to make films, the city hardly tries to use the filming locations as tourist attractions. This study suggests four ways of using filming locations as tourist attractions to activate Jeonju economy and improve Jeonju's cultural image. We firstly collect social bigdata related with tourists of filming locations and tourist attractions in Jeonju from Twitter, which is the most representative SNS, and then perform frequency and trend analysis. We also investigate major factors of visits to tourist's attractions based on content analysis of tweet mentions.

Revitalize the Tourism Experience Program of Hyanggyo and Seowon - Focusing on World Heritage sites in Korea - (향교·서원의 관광체험 프로그램 활성화 방안 - 국내 세계유산을 중심으로 -)

  • Bang, Mee Young
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.249-255
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    • 2023
  • World Heritage is a very important heritage that is worth protecting and handing down to future generations. In Korea, which has a long history and culture of 5,000 years, Seowon is a great advantage in that it can develop tangible and intangible Neo-Confucian ideas shared in China and East Asia, and preserve and experience them as a unique cultural resource of Korea until the present day. In order to encourage the direct experience of this long-standing cultural heritage, the government supports the national treasury and seeks to expand the demand for tourism. Accordingly, in this study, an analysis was conducted on program satisfaction, participation, and activation plans. As a result, it was found that value to see and value to experience must coexist in order for our world heritage, which requires comprehensive and continuous management and operation, and lacks accessibility, to become a tourist attraction. Also, for this purpose, promotion and development of differentiated tourism experience contents should be carried out first.

A Study on the Consumer Perception of Metaverse Before and After COVID-19 through Big Data Analysis (빅데이터 분석을 통한 코로나 이전과 이후 메타버스에 대한 소비자의 인식에 관한 연구)

  • Park, Sung-Woo;Park, Jun-Ho;Ryu, Ki-Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.287-294
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    • 2022
  • The purpose of this study is to find out consumers' perceptions of "metaverse," a newly spotlighted technology, through big data analysis as a non-face-to-face society continues after the outbreak of COVID-19. This study conducted a big data analysis using text mining to analyze consumers' perceptions of metaverse before and after COVID-19. The top 30 keywords were extracted through word purification, and visualization was performed through network analysis and concor analysis between each keyword based on this. As a result of the analysis, it was confirmed that the non-face-to-face society continued and metaverse emerged as a trend. Previously, metaverse was focused on textual data such as SNS as a part of life logging, but after that, it began to pay attention to virtual reality space, creating many platforms and expanding industries. The limitation of this study is that since data was collected through the search frequency of portal sites, anonymity was guaranteed, so demographic characteristics were not reflected when data was collected.