• Korean Business Review
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• v.21 no.2
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• pp.43-56
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• 2008

Many tourists in the world are expected to visit Mongolia that has impression such as country of nature with no damage, broad prairie of Mongolia, unique world natural heritage of $13^{th}$ century designated by UNESCO, and nomad's life in self-sufficiency. Mongol tourism industry, which has been newly recognized since collapse in the socialism system in 1990, is abundant in historical and cultural resources In tourism. Nevertheless, a research is insufficient on tourism business, developmental sphere in tourism industry, tourism policy and tourism resource development. Accordingly, it is important to conduct tourism promotional survey and implementation of new ideas to develop and to attach more foreign tourists to Mongolia. The purpose of this study is to grasp factors to gain an interest of foreign tourists to select Mongolia as a destination. The aim was also to confirm differences in awareness and performance before and after a visit for foreign tourists to select a trip to Mongolia. Also, the level of factors is compared between expectation before the trip to Mongolia, and the actual satisfaction in tourists through IP analysis(IPA). Finally, to study the present situation of Mongolian tourism to improve its present situation by taking immediate concrete decision for the betterment of Mongolian tourism industry. In order to achieve the objectives of this study, the exploratory factors analysis, reliability test, and One-way ANOVA were carried out by using SPSS 12.0 statistical program.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.480-502
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• 2022

This work assesses the degree of satisfaction tourists receive as final recipients in a tourism destination based on the fact that satisfied tourists can make a significant contribution to the growth and continuous improvement of a tourism business. The work considers Pokhara, the tourism capital of Nepal as a prefecture of study. A stratified sampling methodology with open-ended survey questions is used as a primary source of data for a sample size of 1019 for both international and domestic tourists. The data collected through a survey is processed using a data mining tool to perform multi-dimensional analysis to discover information patterns and visualize clusters. Further, supervised machine learning algorithms, kNN, Decision tree, Support vector machine, Random forest, Neural network, Naive Bayes, and Gradient boost are used to develop models for training and prediction purposes for the survey data. To find the best model for prediction purposes, different performance matrices are used to evaluate a model for performance, accuracy, and robustness. The best model is used in constructing a learning-enabled model for predicting tourists as satisfied, neutral, and unsatisfied visitors. This work is very important for tourism business personnel, government agencies, and tourism stakeholders to find information on tourist satisfaction and factors that influence it. Though this work was carried out for Pokhara city of Nepal, the study is equally relevant to any other tourism destination of similar nature.

• International Commerce and Information Review
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• v.17 no.2
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• pp.95-120
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• 2015

Under the stiff competition in the health care industry, the long run survival of medical institution depends on building up customer loyalty. The purpose of this study is to figure out the influencing factors on customer loyalty. This new model is based on Bettman(1979)'s customer purchasing decision making process(awareness-interest-final decision). The key characteristics of this model reflects the psychological change of customer purchasing decision The influencing factor at each purchasing stage must need to be identified because the inner decision making process is generally carried out by multistage. In this respect, this study shows the brand awareness of hospital plays an important role at the first stage. In a second stage, the servciescape and service quality of hospital must be considered. Finally, customer's perceived value is adopted. By using a sample of 116 Chinese tourists, this study empirically examines the influencing factors of customer loyalty. The results that the brand awareness and perceived value have a positive effect on customer loyalty.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.235-245
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• 2015

The aim of this study was to identify the significant factors for deciding yacht marina harbor location, and to use them for policy decision of a yacht marina project of local government. For this purpose, 2 top factors, 11 sub-factors and 50 specific factors were determined through a theoretical review and specialist interviews. This was followed by a questionnaire survey given to residents of Jeju and yacht tourists within the Jeju Special Self-Governing Province only. The results showed that marine safety is significant and the development must be made for local economic growth and by the participation of local residents.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.67-76
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• 2018

Purpose - With the worldwide aging problem and the development of globalization, customers prefer to seek affordable medical services with the higher quality overseas. This new trend has urged some destination countries to improve their services for the more competitive advantages over other countries. Literature research indicate that medical quality and cost may be the key factors influencing global patients' decisions. In the international environment, however, medical tourism destinations are selected due to cultural similarity between the hosting country and the customers' own country. The more similarity perceived between the two countries leads foreign patients to choose the considering country as the destination for medical tourism. However, little research has been conducted on this topic. Thus, we empirically investigate how cultural similarity influences Chinese medical customers' choice of the destinations. We also consider the factors related to medical competency and travel attribute which might affect customers' decisions along with some moderating roles of disease types. Research design, data, and methodology - We proposed a research model in order to confirm the relations among different variables of cultural similarity, medical competency, travel attractiveness, disease types, and destination choice. The questionnaire survey is processed in the more economically developed regions of China such as Beijing, Shanghai, and Jiangsu. Conditional logit regression is applied to analyze the data of 881. Results - Results indicate that cultural similarity is the important predictor of Chinese customers' decision to select a medical country. However, the effects of cultural similarity vary according to the disease types. We also find that medical competency and travel attractiveness influence their decisions with the moderating role of disease types. Conclusions - Cultural similarity is the important factor that influences Chinese potential medical tourists' decisions to select a destination. Marketing managers should consider the effects of cultural similarity when developing strategies for attracting Chinese medical tourists. Since medical competency and travel attractiveness are still the critical key elements for them to evaluate the destination countries, it is necessary to continuously improve medical service quality and facilities. The results also recommend that medical managers should sharpen their marketing strategies by segmenting Chinese potential customers in terms of disease types.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4876-4883
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• 2013

Nowadays numbers of non-residential Korean traditional house (Han-ok) like Caf$\acute{e}$ and restaurants within the cultural property preservation area. So the purpose of this study is suggesting the necessity of governmental support about non-residential Han-ok. The research started to analyze influential factors toward them and estimate the value of non-residential Han-ok. After then it investigated what kind of value factors are important when it is agreed to the necessity of governmental support using logistic regression. According to the result, there are main 7 factors; possibilities to use Han-ok with poor residential environment, the unique appearance of Han-ok, possibilities to offer social and welfare service within local community, value to develop tourism on Han-ok, utilization of commercial area, historical deficiency and easy to access Han-ok for tourists and overseas which are an effect on decision making to sustain non-residential Han-ok.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.2
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• pp.85-94
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• 2001

The study aims at assessing information on cultural festivals furnished through the internet homepage of a provincial government. The study examines 29 tourist festivals of ˝Cultural Festivals of Korea 2001˝, designated by the Ministry of Culture and Tournism. Based on the inquiring table, framed through the previous study, each festival´s information was surveyed and analyzed, by visiting the homepages of provincial governments. The results of the study show that 1) ˝The information of festival˝ is low in quality. Particularly, ˝the contents of festival˝ needs to be improved and expanded and ˝the festival periods˝ should be brought up to date. These are the important factors in making a decision to participate in the festival and the chief attraction of a homepage, well-planned and detailed information can influence more tourists who are interested in visiting a festival. 2) Seventeen festivals support ˝foreign language˝. But ˝festival information˝ is weak as it provides only an outline of festival and doesn´t even contain the date and contents of festival. Valuable information, like transportations, accommodations and restaurants when tourists visit a tourist spot, and detailed festival contents should be provided. 3) ˝Search˝ and ˝Q and A˝ are function which provide specifics for users. In addition to the homepage of a local government, these functions on the web page of cultural festivals or on an exclusive web page of tourism is required. 4) The homepage of festivals should offer ˝the information of participation˝. The convenience of information searchers should be considered by providing them information such as local prices, transportations, accommodations and restaurants which are necessary to participate in festival.

• 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).

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.4
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• pp.568-575
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• 2009

On the conflict factors in using community fishing ground and their solutions, some conclusions are derived with the survey for fishing villages, residents, tourists as follows: Jeju Island has beautiful sceneries with seas in all the directions and so remarkable potential as personal experience fishing village. For sustainable development of ecological tourism in each fishing village, systematic, long-term development plans and management systems through decision making with residents in fishing and non-fishing villages are demanded. For tourist development of fishing village, protection management systems for marine and swampy land are needed first of all. Next, economical profit and the participation of resident have first priority, and also individual standards for each village are urgently prepared based on the results of basic research on each village. Finally, educations on environment and fishing village with professional tourist guide are needed. Ecological protection, environmental education, resident participation, local government's concern, and financial support could solve residential conflicts and make Jeju Island a Mecca of local fishing village tourism.