• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.155-162
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• 2017

The objective of this study is to suggest useful directions to the companies providing tourism information through SNS and the related service providers through investigating differences of sharing and use intention of SNS tourism information according to the level of trust and satisfaction. To achieve the objective, as a conceptual framework of the study, the literature on 'trust and satisfaction about SNS tourism information' and 'information sharing and use intention' were reviewed, and the empirical studies on the perception of the people who experienced the service was conducted. The findings showed that there were differences of sharing and use intention of SNS tourism information according to the level of trust and satisfaction

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.258-273
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• 2022

This study examines the effect of SNS tourism value (economic, social) and social capital (bonding, bridging) on SNS tourism satisfaction using SNS and the effect of SNS tourism satisfaction on reuse intention. In addition, in the relationship between SNS tourism satisfaction and reuse intention, a future-oriented time perspective variable was applied to investigate the moderating effect. We verified 326 people who had accommodation tourism experience using SNS. SPSS 25.0 and Smart PLS 3.0 were used to analyze reliability and validity. The study results are as follows. First, economic and social values had a positive effect on satisfaction. Second, it was found that bridging social capital had a positive effect on satisfaction, but bonding social capital had no effect. Third, satisfaction was confirmed to have a positive effect on reuse intention. Fourth, in the relationship between satisfaction and reuse intention, the future-oriented time perspective was found to have a significant moderating effect. The overall implications are presented through the research results, and it is expected that these will be used as basic data for the development plan of the tourism industry.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.355-364
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• 2019

The purpose of this study is to present the implications of analyzing users' market segmentation and characteristics based on the tourism SNS lovemarks experience. The results are as follows. First as a result of conducting factor analysis of tourism SNS lovemarks experience, five factors explained namely, mystery, sensuality, intimacy, trust, reputation. Second, as a result of conducting cluster analysis, four cluster groups were identified (reputation/sensuality centered experience group, high lovemarks experience group, intimacy centered experience group, low lovemarks experience group) and each characteristics were profiled. Third, as a result of Chi-square analysis and correspondence analysis, there was a difference in the characteristics of tourism SNS usage by cluster. Fourth, higher tourism SNS lovemarks experience segmented groups were more likely to recognize the degree of experiential value, satisfaction, behavioral intention.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.2
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• pp.119-135
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• 2014

This study is aimed at understanding the factors behind deciding to accept a social network service (SNS) from the viewpoint of tourists who are users of tourism SNS. The study also seeks to clarify the effects these deduced factors have on the intention of users to continuously use SNS. To this end, individual properties (such as self-efficacy, socio-cultural effects, social presence and people's innovativeness), systematic properties (like system quality and information quality)and usefulness/availability were used as factors with regard to the decision to accept tourism SNS based on previous studies and efforts were made to structurally clarify the effects of such previous factors on people's intention to continuously use SNS through perceived value and satisfaction. SNS had significant effects on satisfaction and, furthermore, significantly affected tourists' intention to continuously use it. Based on such study results, factors behind deciding to accept SNS from the viewpoint of tourists affected customers' perceived value and satisfaction and ultimately affected their intention to continuously use SNS. To achieve the purpose of the study, a survey was conducted on about 250 Busan residents who had used SNS in relation to tourist activities, such as exhibitions, conventions, accommodation, trips, aviation service and transportation. According to an empirical study, factors behind deciding to accept tourism SNS, including individual properties, systematic properties and usefulness/availability had statistically significant effects on perceived value. The usefulness/availability factor had the largest influence, in particular, followed by the systematic factor and individual factor. The value perceived in the process of using tourism SNS had significant effects on satisfaction and, furthermore, significantly affected tourists' intention to continuously use it. Based on such study results, factors behind deciding to accept SNS from the viewpoint of tourists affected customers' perceived value and satisfaction and ultimately affected their intention to continuously use SNS.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.78-79
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• 2011

Tourism demand is expected to continue to rise, actively respond to these demands and customer needs, optimize and differentiated consumer-based content development and delivery that incorporates principals of the need for mediation, is increasing. Smartphone and internet represented SNS collects information based on customer and customer needs by providing differentiated content to meet the cost and the total satisfaction of all tourism is needed to build Platform Company. Platform Company maximize the utilization of natural maritime resources, marine tourism to meet customer demand, profitable and stable income, including job creation are contributing to.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.383-386
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• 2012

In this paper, we intended to analyze the relationship among tourist's acceptance decision,perceived value, satisfaction and continuous use intention for social network service. For this study, the self-administered questionnaire for 199 tourists was employed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.193-194
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• 2020

인터넷 시대에 있어 사회관계망 서비스(SNS, Social Network Service)는 기존의 커뮤니케이션 중심의 기능에 더하여 다양한 개성과 새로운 형태의 플랫폼으로 지속적으로 변화하고 있다. 많은 나라에서는 자신들만의 독특한 특징을 반영한 SNS와 페이스북 등 전 세계적으로 많이 이용하고 있는 SNS 등을 인터넷을 통해 누구나 자신들의 정보를 공유하고 타인의 정보를 획득할 수 있게 되었다. 이에 본 연구는 본 연구는 중국의 제3자 모바일 결제서비스의 특징을 알아보기 위하여 위쳇을 사용하는 중국 사용자를 대상으로 유형성, 편리성, 정확성, 공감성, 자기효능감, 혁신성, 신뢰성, 수용의도를 통하여 그 특징을 알아보고 한다.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.19-25
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• 2020

Big data analytics are indispensable today in various industries and public sectors. Therefore, in this study, we will utilize big data analysis to search for improvement plans for domestic tourism services using the LDA analysis method. In particular, we have tried an exploratory approach that can improve tourist satisfaction, which can improve revisit and service, especially in Seoul, which has the largest number of foreign tourists. In this study, we collected and analyzed statistical data of Seoul City and Korea Tourism Organization and Internet information such as SNS via R. And we utilized text mining methods including LDA. As a result of the analysis, one of the purposes of visiting South Korea by foreigners was gastronomic tourism. We will try to derive measures to improve the quality of services centered on gastronomic tourism.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.237-249
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• 2014

The technological advances within the Internet industry have led to a revolution in terms of how people communicate with each other. For example, users are no longer limited to using face to face interactions to connect and communicate with their peers but can use email, instant messaging and more. A recent trend that researchers are observing is the adaption of SNS. SNS such as facebook and myspace has been a dominant global trend and has grown dramatically in the past 5 years. The purpose of this study was to test SNS usage motivations influencing the user satisfaction. The research model was developed based on literature review. SNS usage motivations consist of five factors: expression, relationship formation, social exchange, information seeking, trend. 189 questionnaires were used for the main part of regression analysis. The analysis results revealed that relationship formation, social exchange and information seeking were very significant factors influencing the user satisfaction. Especially, social exchange was the most significant factor. We can prospect that importance of user satisfaction on SNS usage motivations is more and more increasing in the future.

• 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.