• International Commerce and Information Review
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• v.8 no.1
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• pp.437-453
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• 2006

Services could move over the world where they want to go. Especially, travel services shared 29.4 percent of total world exports, 625 billion dollars in 2004 (WTO, 2005). Tourism is a very important sector in service trade in the world. Of developing countries, Korea has been experiencing remarkable development in female outbound travel market since the complete liberalization on overseas travels in 1989, with about 3.85 million travelers in 2005, 2,000 percent growth rate over 1988. It means woman's social status has been increasing in Korea. Especially, in the study young housekeepers, solely office ladies, and college students were described as very important market segments in Korean woman outbound travel market. They were not only major decision makers, but also executors because of both enough economic power and social status improvement on small sized family. This study indicated that woman outbound travel market gets larger because their buying power and status are going to go improved in Korean social system. It is recommended that marketers be worth watching Korean woman travellers as a major target market through continuos observation and analysis.

• 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.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.270-275
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• 2024

Introduction. In this study, purpose is to analize the types of golf tourism, inbound or outbound, by using big data and see how movement of industry is being changed and what changes have been made during and after Covid-19 in golf industry. Method Using Textom, a big data analysis tool, "golf tourism" and "Covid-19" were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 1 st January, 2023 to 31st December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "golf tourism" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, top 36 keywords with the highest relevance and search frequency were selected and applied to this study. The top 36 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. Results By using big data analysis, it was found out option of oversea golf tourism is affecting on inbound golf travel. "Golf", "Tourism", "Vietnam", "Thailand" showed high frequencies, which proves that oversea golf tour is now the re-coming trends.

• Korea Journal of Hospital Management
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• v.16 no.4
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• pp.17-34
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• 2011

Recently, medical market has been changing not for the sake of treatment of the disease but for high quality of health. Therefore, South Korea medical tourism service needs to understand and improve for the differences perceptions of medical tourists and health professionals for customer satisfaction. The purpose of this study is to understand the structure of medical tourism market through theoretical consideration and to suggest the factors which need to be taken precedence for improvement of South Korea medical tourism service through analysis differences between consumers and suppliers. To analyze the difference of awareness, we reconstructed the questionnaires focussing on evaluation factors and articles about medical tourists selection attributes and health professionals way to invigoration through previous research and precedence study. After that, we also collected the data based on reconstructed questionnaires. After we compared each collected responses from medical tourists and health professionals, also analyzed the differences of awareness by applying Johari's Window to those differences. In conclusion, there is no relation between medical tourist and health professionals about th differences of awareness in functional quality and cost that is a direct effect to transaction in current medical tourism of South Korea. In contrast, there are differences of awareness between a process which support medical tourism and technical quality. Therefor, we expect to invigorate medical tourism by innovation of supportive process and technical quality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.59-66
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• 2020

In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).

• Asia pacific journal of information systems
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• v.29 no.3
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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.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.646-653
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• 2016

Outbound market is a rapidly growing global industry, and has evolved into a 11 trillion won trade. A lot of recommender systems, which are based on collaborative and content filtering, target the existing purchase log or rely on studies based on similarity of products. These researches are not highly efficient as data was not obtained in advance, and acquiring the overwhelming amount of data has been relatively slow. The characteristics of an outbound product are that it should be purchased at least twice in a year, and its pricing should be in the higher category. Since the repetitive purchase of a product is rare for the outbound market, the old recommender system which profiles the existing customers is lacking, and has some limitations. Therefore, due to the scarcity of data, we suggest an improved customer-profiling method using web usage mining, algorithm of association rule, and rule-based algorithm, for faster recommender system of outbound product.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.107-116
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• 2018

Information is very important for modern consumers, and the factors that have a great influence on product purchasing. Accordingly, elucidating factors affecting the retrieval process of information is an important. This study identifies factors that affect tourism information retrieval activities. First, it was carried out the meta analysis of tourism information, repurchase intention, attitude toward technology, and information utilization. Through the meta analysis, hypothesis model about each factor of information retrieval and repurchase of tourism products was suggested. The hypothesis model was verified by a survey of Korean and Japanese tourists. As a result, it is confirmed the relationship between the above factors. The results of this study are expected to contribute to the development of a tourists' information usage model in the future.

• International Area Studies Review
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• v.13 no.3
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• pp.413-438
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• 2009

Tourism is an attractive field of industry to many countries due to its strong potentials in increasing employment rates as well as improving the national image. The positive effect of the tourism on the national economy and globalization has been recognized in Korea. A multilateral effort has been made in order to develop its tourist industry. Therefore, it is necessary to analyze the patterns of tourism demand in Korea. The present study analyzes and demonstrates the effects of a nation's characteristics on tourism demand. The study model was based on factors that affected tourism demand, especially emphasizing on the economic size, distance, national income, and language differences from the mother country. In particular, this study highlights the effects of economic relations between the countries and their exchange rate on tourism demand. In summary, this thesis demonstrates that actual national and international panel data enhance the credibility of the research and precisely determine factors that have a direct influence on tourism demand. A corresponding strategy of development and products are required as most tourists show the preference in advanced nations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1399-1404
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• 2022

The transition to the untact era caused by the COVID-19 pandemic has greatly shrunk Korea's continuously growing tourism industry. In this paper, the size, gender ratio, and gender ratio of foreign tourists before and after the outbreak of Corona, gender ratio, It was noted that there was a very large change in the purpose of the visit. Considering the end of the mandatory outdoor mask, the lifting of the mandatory quarantine for all overseas arrivals regardless of vaccination, and the number of outbound tourists who started to recover rapidly from the first half of 2022, this thesis examines how the interest in Korean tourism in the post-corona era is I wanted to see if it had changed. To this end, we analyzed how major tourism-related search keywords changed before and after COVID-19, and suggested changes necessary for the development of the Korean tourism industry.