• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.2
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• pp.133-145
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• 2010

Recently, due to advances in information technologies, the trend of tour types has been changing from package tour to independent tour. Independent tour is a tour which a traveler collect airplane ticket, travel destinations, sightseeing time, transport, lodging and plan traveling schedules by oneself. But the traveler has many difficulties for predicting tour schedules, due to lack of adequate information of travel destinations. In this study, traveling schedule prediction method which to minimize the cumulative fatigue of tourist for use of unnecessary transport is proposed using travelling salesman problem algorithm. It is considered moving time between sightseeing, sightseeing time on destination and traveling time for a day.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.3
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• pp.219-245
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• 2015

Archives should promote services to users using various outreach service methods. Although the archives' tour program is one of the effective means of services, there has been few studies on the archival tour program. This study investigated archival tour programs and tried to suggest a desirable tour program, with the Korean Presidential Archives as a case. For this study, four U.S. Presidential Libraries' tour programs were investigated and analyzed. Also, tour programs offered in similar organizations in Korea, such as Kim Daejung Library, Diplomatic Archives of the Ministry of Foreign Affairs, and National Library of Korea, were analyzed. Current tour programs offered by the Korean Presidential Archives were also analyzed and some limitations were identified. Based on the characteristics of the Korean Presidential Archives, which will be moved to independent building in Sejong City soon, desirable direction to organize tour programs for various user groups were suggested.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.2
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• pp.25-29
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• 2016

Owing to the change of economic trends, the importance of the tourism industry is growing more and more. In particular, the number of foreign tourists continues to increase and the type of tourists is being changed into FIT (Foreign Independent Traveler). Therefore it is an important issue to provide the effective information to foreign tourists. To solve these problems, a variety of IT technology is being used in the tourism information systems. Especially the location based tour information service is being emerged. This kinds of tourism information service is a type of LBS (Location Based Services). But if the security of the location based tourism information service is not guaranteed, it can lead to many dangers. In this paper, the trends of location based tourism information service are surveyed. Also the security threats and countermeasures for the location based tourism information service are analyzed. This paper suggests secret considerations for the location based tourism information service.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.304-311
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• 2011

Recently, tourism is one of future promising industries having high developing possibilities, so many countries have developed tour resources and tried to attract foreign tourists using the resources. Many researches and attempts have tried to apply for tourism using various technologies such as GPS and RFID. However, the applying areas have been highly restricted to the technology providing contents on the spot for independent tourists. Therefore, this paper designed and implemented "Intelligent Tour Guide System (ITGS)" using GPS and ZigBee. The ITGS is for group tourists, and provides various functions for enjoying their tours in limited schedules.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.3
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• pp.63-73
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• 2019

Purposes - In this research, we look over and investigate associations between shopping items and the demographics of foreign tourists in South Korea. The related seven variables are gender, age, occupations, country of residence, visit month, visit purpose and trip type. In addition, we can graph twenty-one shopping items in association with the demographics of foreign tourists by computing their dissimilarity or similarity on two dimension planes granting that the association exists between the underlying variables. Research design and methodology - This research is performed by Ministry of Culture and Tourism in 2017 and investigated 13,200 foreign tourists from 20 countries. For analyzing the detailed relationships between shopping items and the demographics of foreign tourists, we take advantage of both independent test and correspondence analysis as key statistical techniques. Results - The findings show that shopping items which foreign tourists purchase are closely associated with the three different demographics variables such as country of residence, tour type and visit purpose by monitoring significant p-value of chi-squared statistic Conclusions - This study suggests Ministry of Culture, Sports and Tourism must explore ways toward tourism infrastructure such as global marketing, municipality strategy for attracting foreign tourists, development of diverse shopping items and services and so on.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.149-169
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• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.