• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.31-36
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• 2018

The tourism industry has a great influence on national economy activation. The development of IT technology has enabled the collection and analysis of personal profile information, location information and activity information based on the characteristics, behavior, purchase propensity and interest of tourists. In order to realize this, the implementation of convergence smart tourism information service platform is completed by developing business model, IoT & Big Data integration management system, big data algorithm development and analysis platform in three stages. The underlying technology of the platform and algorithm needs a process of adopting open source, expanding the service element on the basis of it, and then complementing the problem through the test-bed demonstration test that connects the area. Using this platform, it is possible to develop a smart tourism environment that can provide customized services for each tourist by analyzing various information in an integrated manner. Also, it will be possible to improve the life of tourist destination residents and contribute to regional revitalization and job creation through the creation of smart tourism ecosystem focused on the region.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.23-23
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• 2017

본 연구에서는 지역사회의 생활문화공동체 만들기 사업의 한 사례로 경상남도 화동군 화개면 대성리 의신마을의 노인주민들을 중심으로 이루어지는 문화유산 개발과 자발적(생산적) 문화주체발굴 및 양성을 하고자 한 사례연구이다. 2017년부터 2019년의 3년차 사업으로 지역의 마을회(영농회, 부녀회, 청년회, 노인회)와 체험시설 관리운영, 체험행사 관리, 가공시설장 활용, 체험 프로그램 기획/운영, 마을기반조성사업 및 관광체험을 주요활동으로 하는 영농조합법인의 유기적 협력을 통하여 주변의 특산물, 자연환경, 산업환경 및 지리산을 중심으로 구성된 지역역사 문화환경이 연계되어 진행되는 생활문화공동체 만들기 사업이다. 특히 농악/낙차 동아리, 사진동아리, 그림동아리, 압화동와리와 같은 동아리 활동을 통하여 산골의 지역적인 약점을 보완할 수 있으며, 문화예술을 향유하려는 시대적인 욕구를 충족할 수 있는 실질적인 문화예술프로그램을 통한 공동체 발전을 지속하고자 함이 취지이다. 지역 노인들을 대상으로 노인들의 감성지능의 변화에 의한 지역공동체의식과 6차산업 기업가 정신 및 노인들의 사회참여에 대한 인식을 알아보고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.493-495
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• 2021

Local festivals, an intangible tourism resource, contribute to the development of the local tourism industry by developing specialized products and tourism products to develop the region. With a very high interest in festivals in each of these regions, much attention is paid to data analysis on what issues and improvements will be made after the festival. In this study, for festivals in the Danyang-gun area, where many people visit every year among festivals in various regions, the issue of negative or positive relations is visually identified by collecting and analyzing unstructured data, which is an online medium, free from the difficulty of collecting commercial data This study was conducted to derive.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.665-667
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• 2017

가상현실은 4차 산업 혁명의 키워드 중에 하나이다. 가상현실은 인간이 시간, 공간의 제약으로 인해 경험하지 못하는 것들을 새로운 플랫폼으로 경험하게 해주어 시간, 공간의 제약과 환경의 제약을 극복하게 해준다. 현재 게임으로 한정된 VR 콘텐츠를 사용자들이 촬영한 360도 동영상으로 보완할 수 있기 때문에 국내외 대기업에서도 360도 VR 동영상에 공을 들이고 있다. 특히, 360도 VR동영상은 방송, 쇼핑, 관광 등에 활용하기에 적합하여 관련 분야의 기업에서 360도 동영상을 활용하면 효율적인 비즈니스가 가능하다. 그러나 아직 국내에서는 본격적으로 360도 동영상 콘텐츠를 활용한 사례가 거의 없다. 본 연구에서는 360도 VR동영상에 대해 고찰하고 호텔기업에 활용 할 것을 제안하고 분석한다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.175-183
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• 2023

This study examines differences in satisfaction, intention to revisit, and word-of-mouth recommendations among foreign tourists, based on their nationality and factors influencing their decision to visit Korea. The study utilizes the data collected from foreign tourists who visited Korea in 2021, including information on their country of origin, factors influencing their decision to visit, satisfaction levels, intention to revisit, and willingness to recommend Korea to others. While the survey data comprises a large sample of over 8,000 respondents, only 1,398 without missing values are used for analysis. According to the analysis results, there were significant differences in satisfaction, intention to revisit, and word-of-mouth recommendations among foreign tourists based on their nationality and factors influencing their decision to visit. Notably, leisure and sports activities and distance from their home country are significant factors in making a decision to visit Korea. Countries with relatively lower tourism decision mechanisms are Japan, Singapore, China, Taiwan, Malaysia, Canada, Mongolia, and India. Based on these analysis results, this study presents strategic improvement measures to revitalize Korean tourism industry, particularly after the pandemic.

• 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.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.77-77
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• 2020

2019년 12월 발병한 코로나19(COVID-19)는 높은 전파력을 바탕으로 세계적으로 대유행하면서 사람들의 생명, 건강을 비롯하여 생산·소비활동까지 위협하고 있다. 코로나19는 치료제 개발 전까지 실물경제에 직접적으로 타격을 주면서 국내외 경제 전반에 악영향을 지속적으로 미칠 것으로 예상된다. 특히 외부활동 및 소비심리 위축으로 숙박, 음식, 관광, 문화, 여행 등의 대면서비스 업종의 심각한 매출 감소 및 고용악화가 발생하고 있으며, 이 외 대부분의 산업에서도 생산과 소비활동이 위축되고 있다. 이러한 소비·생산활동의 위축은 각 산업에 필요한 중간재 수요, 특히 필수재인 물이용에도 영향을 미치게 된다. 이에 본 연구에서는 코로나19 확산으로 소비가 감소할 경우 전산업과 물산업에 미치는 경제적 손실을 1년간의 모든 실물거래 관계를 행렬로 기록한 통계표인 산업연관표(input-output table)을 활용하여 분석해보았다. 이를 위해 전월대비 3월 소비자심리지수 하락 폭을 참고하여 소비 감소에 따른 시나리오 분석을 산업연관분석을 통해 실시하다. 분석결과, 5개월 동안 소비가 20% 감소하는 경우 전산업과 물산업에서 각각 48.3조원과 886억원의 생산감소가 발생하며, 부가가치는 각각 21.7조원과 451억원이 감소하는 것으로 분석되었다.

• 월간 기계설비
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• s.297
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• pp.94-103
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• 2015

삶의 터전이 부족한 자연환경을 극복하기 위해 인간은 쓸모없는 땅을 개척하고, 다리를 놓고, 둑을 막는 등 끊임없이 노력함으로써 좀더 풍요로운 삶으로 발전시켜왔다. 그 중 호수나 바닷가에 제방을 쌓고 육지를 만드는 간척은 좁은 땅덩어리를 넓힘으로써 삶의 터전을 좀더 확대시킬 수 있다. 우리나라는 삼면이 바다로 둘러싸여 있고 특히 서해안과 남해안은 리아스식 해안에 갯벌이 발달하여 간척에 유리하다. 간척은 삼국시대부터 그 흔적을 찾을 수 있고 조선시대까지는 작은 갯고랑이나 해변을 막는 정도였으나 일제 강점기 때 주로 군량미 조달 등을 목적으로 본격적인 간척이 이루어졌다. 해방 후에도 간척은 계속되었고 1980년대 이후 중장비가 등장하면서 수천 미터의 제방 길이와 거대한 물목을 틀어막는 대규모 공사로 발전하였다. 근대의 간척사업이 군량미 확보와 미곡 증산 중심이었다면 최근의 간척사업은 생태환경 복원, 관광 등 다목적 용도로 쓰임새가 변화하는 추세이다. 서해안에서는 지금 국토를 넓히는 역사적인 사업이자 최대 규모의 국책사업인 간척사업이 한창 진행 중이다. 중국 동해안을 중심으로 한국과 일본 큐슈를 잇는 환황해권이 세계 최대 경제로 떠오를 것으로 예상됨에 따라 정부가 환황해권의 주도권을 잡기 위해 새만금개발사업을 적극 추진하고 있다. 세계 최장 33km의 방조제와 $401km^2$의 땅을 매립하여 농업 산업단지, 복합도시, 21세기 동북아 관광레저의 허브 등 다용도로 활용하기 위함이다. 본지는 바닷내음 물씬 풍기는 광활한 새만금 벌판에서 새만금집단에너지시설 건설공사를 시공 중인 (주)정호이앤씨(대표 최호선) 양석동 현장소장과 원도급 업체인 두산중공업 용환윤 소장을 만났다.

• International Area Studies Review
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• v.14 no.1
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• pp.221-254
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• 2010

This study is for analyzing the mgmt performances of Korean tourism firms, operating as preparing strategically against FTA, one of the most importantly external environment in int'l mgmt since in the mid of 1990s. The main purpose can be mentioned to test empirically some relations between the mgmt performances of Korean tourism ones and the economic effects originated from FTA. The dependent variables of mgmt performances are classified with sales, profits and mgmt satisfaction, while the independent one regarding with economic effects from FTA are sorted based on the previous studies with the 2 following factors like direct with inbound/outbound and indirect effects. This study is conducted in two stages. Firstly, the research model is designed by the reviewing relevant theories and previous studies. Secondly, the survey of Korean tourism firms engaging in mgmt activities is implemented by collecting questionnaires. And for testing the hypothesis, the analyzing tools are used for correlation, reliability, validity and multi-regression on SPSS 12.0 and the path analysis of structural equation modeling is activated with AMOS 11.0.