• Spatial Information Research
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• v.20 no.6
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• pp.77-90
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• 2012

In this paper, we examined how to utilize QR codes for meeting the information demand and making better use of the paper map. By Decision Tree Analysis, we investigated whether to have any intention to use the paper map with QR codes for receiving more information and what decision variables affect the answers. Thus, we also surveyed the area of providing information and sectoral demand for deriving additional information demand to being provided through QR codes. In the results of our study, we confirmed that the decision variables, to make any intention to use the paper map with QR code, are the frequency of using the paper, the experience of using the paper map, the intention to buy the paper map, the experience of using QR codes and the experience of buying the paper map. In these variables, the frequency of using the paper map is a major factor to decide whether it is intended to use the paper map with QR codes. we also identified that there are various additional information demand using the paper map with QR codes in the area of 'Daily life', 'Real estate', 'Education', 'Travel and Leisure', and 'Entertainment'. Especially additional information demand is high in the area of 'Travel and Leisure'. These results could be used to find a way how to vitalize the usage of paper map by introduction of QR codes and how to develop QR codes for the paper map and concerning applications.

• Korean Business Review
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• v.15
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• pp.25-45
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• 2002

The purpose of study is to examine how tour wholesaler's relationship characteristics to tour retailer affect trust, commitment, and repurchase intention in the distribution channel of travel industry. There are several detailed purposes of this study. First, this study is to grasp the factors of tour wholesaler's relationship characteristics to tour retailer. Secondly, this study is to examine how tour wholesaler's relationship characteristics to tour retailer affect trust and commitment. Thirdly, this study is to examine how trust on tour wholesaler, which is divided into two levels, firm and salesperson in charge, affects each other and commitment. Fourthly, this study is to examine how trust on tour wholesaler finn and salesperson in charge and commitment affect repurchase intention. Fifthly, this study is to suggest more efficient basis for marketing strategies to C.E.O or officer in charge of decision making of tour wholesaler, and help them to make right decisions. Managerial implications can be drawn from this study. One is that it is recognized that tour wholesaler's relationship characteristics to tour retailer consist of those to tour wholesaler finn such as reputation, physical characteristics, communication and those to salesperson in charge such as expertise, likability, similarity, frequent contact affect trust and commitment positively. Therefore, C.E.O and officer in charge of decision making of tour wholesaler should set up marketing strategies to get positive results at both levels, a finn and a salesperson. The other is that it is important that a tour wholesaler should manage their tour retailer with relationship oriented methods such as building trust, and make every endeavor to retain long term relationship with tour retailer.

• Information Systems Review
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• v.18 no.3
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• pp.51-71
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• 2016

Tourism products are intangible goods. Given this nature, tourist experience should be recorded and visualized through media, such as pictures, videos, and souvenir. Online platforms played the role of media given the growth of information and communication technology. Tourists post their travels for real-time documentation of their experiences, but they also tend to reminisce about past experiences that they posted on social media. Social media is not only a channel of self-presentation or a means of communication with other people, but it also serves as an archive of electronic records to bring back memories. Given this finding, we investigated the impact of social media on the autobiographical memory (recollection and vividness) of tourists and their intention to revisit a certain destination. The results showed social media interface and the impact of display quality on the recollection and vivid memory. The predictor of memory recollection of tourists is intention to revisit a destination. Social media is considered an archive of travel memory that indulges people to reminisce. Theoretical and practical implications were provided based on these results.

• Journal of Agricultural Extension & Community Development
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• v.18 no.1
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• pp.73-99
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• 2011

As multicultural family gradually increased, our society is changing towards multicultural society. This study tried to identify the factors related with social distance of adolescent of multicultural family. The participants were 568 middle school students living in S city, D and H county in Chungnam province. Data for the study were analyzed by frequency, mean comparison, correlation and regression analysis. The study results were summarized as follows. First, there were significant differences in social distance according to gender, school record, and place of residence. Second, there were significant differences in social distance according to degree of intimacy between general adolescents. Third, as a result of correlation analysis, the lower self-esteem was, the lower value orientation was, the lower cultural diversity was; the higher social distance is. Accordingly, social distance for adolescents had negative correlations with self-esteem, value orientation, and cultural diversity. Fourth, variables affecting social distance were gender, school record, family composition, place of residence, friend from multicultural family, intention to be a friend, experience of overseas travel, self-esteem, value orientation, cultural diversity. Among them, intention to be a friend was a main predictor.

• 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 Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.192-203
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• 2016

Uganda is a country blessed with the biggest number of mountain Gorillas in the whole world. These animals contribute at least 12% in revenue generation to the Tourism sector through tracking by both local and foreign tourists who pay for the tracking permits. However, Gorilla tracking is also a big challenge even in the presence of highly skilled and well-trained game rangers. Development and implementation of a secure Computer and Mobile based Gorilla Tracking (GT) system that uses GIS and GPS technologies would be the most ideal technology to use. Therefore, this study aimed to find out the critical factors that would affect the Behavioral Intention of the would-be users to successfully decide to use such GIS/GPS-GT system. We used the existing UTAUT model to integrate six factors such as Performance Expectancy, Effort Expectancy, Employee Peer Influence, Facilitating Conditions, Behavioral Intention and System Use. However, Infrastructure Availability and Non-Technical Facilitating Conditions were added to reflect Ugandan ICT context. This amended UTAUT model was used to carry out the survey. The questionnaire was emailed to 220 government employees in the fields of ICT, Tour and Travel, Environmental Groups officials and Farmers who garden near the game reserves. A total of 133 were obtained fully completed, whereas 127 were deemed usable thus yielding a response rate of 58%. The analysis results show that except for non-technical facilitating conditions, effort expectancy, peer influence, performance expectancy and infrastructure availability positively affects behavioral Intention to use GIS/GPS-GT. This indicates that people in Uganda don't bother about regulations and rules in regard to using information system. As long as the system does what they want it to, anything else does not matter. As an employee in an organization is told to use a system by their supervisor, they have no objection to otherwise they risk losing their job. This implies that, supervisors have a great responsibility in the process of developing, implementing and using the system in Uganda.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.39-58
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• 2004

After SERVQUAL was proposed as a measure of perceived service quality, several arguments have been made against its validity and some competing measures have been developed. This paper reviews those controversies. Particularly, it compares the concept of expectation in the research of service quality with that in the research of satisfaction, re-purchase intention and suggests the authors' opinion. In addition, the paper suggests sequential casual relations among expectation, perceived performance and perceived service quality. With the help of previous researches concerning "SERVQUAL" and the related topics, six variables concerning travel services were identified. The six variables are tangibility, reliability, responsiveness, assurances, empathy and costs. Seven hypotheses were developed using these variables. The review of literature covers service's concept, model and method of service quality evaluation, and relationship among the concepts which is related to the service quality. The results of our study suggest further research is necessary to clarify which one is a better tool because we have a conflicting research outcome in terms of model fitting. The study also shows that assurances and costs have positive effect on customer satisfaction. It also turned out that customer satisfaction has positive effect on repurchase intention.

• Journal of Environmental Impact Assessment
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• v.19 no.6
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• pp.633-645
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• 2010

As the globalization increased, cultural heritage has been widely used as tourist destination. Traditional temples which have valuable cultural resources are important cultural heritages. It was found that most traditional temples which were used as famous tourist destinations lost their intrinsic religious values because of the intensive tourist uses. Sustainable tourism was introduced as an alternative tourism to the conventional one which could cause the destruction of the intrinsic values. Sustainable tourism represents and encompasses a set of principles balancing between visitor satisfaction, economic revitalization of the area, and the conservation of the heritage resources. The purpose of this study was to evaluate the possibility for the sustainable tourism of cultural heritage (traditional temple) by investigating visitors' satisfaction, revisit intention, and awareness on conservation. In order to perform this purpose, Sin-heung-sa was selected as a study site and 339 visitors participated in the questionnaire survey. The study results are summarized into three important findings. First, it was found that the possibility for the sustainable tourism of Sin-heung-sa was high. Vistors' awareness on conservation is high, but visiting satisfaction was medium-high. Specifically, the awareness for heritage transmission was the highest and the awareness for other conservational dimensions such as need for education, conservation for surrounding area, and respect for environmental capacity were also high. Second, visitors' overall and separate satisfactions were not high. Therefore, it was recommended that management strategies are needed to increase the visitor satisfaction because both conservation and visitor satisfaction are essential elements of successful sustainable tourism. The results revealed that visitors' satisfaction could be enhanced by improving safety of the area, providing diverse travel activities and information, and creating unique atmosphere. Third, the revisit intention was evaluated higher than the overall satisfaction, which showed that the attractiveness and competitiveness of Sin-heung-sa was relatively high. Important determinant attributes for revisit intention were analyzed to be good nature(landscape, valley, the fauna and flora) and network with surrounding tourist destinations.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.506-514
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• 2020

The purpose of this paper is to examine the factors influencing usage intentions of Social Network Services (SNS) in MICE (Meeting, Incentive travel, Convention, and Exhibit and Event) and moderating effects of gender. This model tests various theoretical research hypotheses relating to MICE industry, SNS characteristics, and Technology Acceptance Model (TAM). The target population of this study is SNS users with MICE participation experience. The results of hypothesis testing are as follows. First, information provision, convenience, service quality and SNS usage experience positively influence attitudes toward SNS. Second, attitude positively influences usage intention of SNS. Finally, information provision and service quality to attitudes toward SNS for males are significantly large than those for females. Convenience and SNS usage experience to attitudes toward SNS for females are significantly large than those for males. And attitude to usage intention toward SNS for males are significantly large than those for females. The results of this study will provide various implications to improve usage intentions of SNS in MICE industry.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.