• Journal of Korea Trade
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• v.27 no.1
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• pp.42-59
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• 2023

Purpose - As a leading source of foreign exchange and investment, tourism has grown in importance as a component of international trade. Accordingly, in recent decades much attention has been directed toward attracting foreign tourists and, in turn, positively affecting the recommendation intentions of foreign tourists. Despite such interests, there remains a dearth of empirical research on this issue. Moreover, prior research has focused primarily on the simple main effect of a certain factor on recommendation intentions. Therefore, the present study aims to (1) investigate the effect of overall satisfaction on the recommendation intentions of foreign tourists, and (2) examine the potential moderating effects of personal factors (i.e., age and destination image) on the association between overall satisfaction and recommendation intention. Design/methodology - Using a moderated moderation analysis of the data drawn from the 2018 International Visitor Survey conducted by the Korea Tourism Organization, this study proposes the three-way interaction effects of overall satisfaction, age, and destination image on recommendation intention. Findings - The findings of the study indicate that overall satisfaction is positively associated with recommendation intention and this relationship becomes stronger among younger tourists. The findings further indicate that the moderating effect of age on the relationship between overall satisfaction and recommendation intention depends on changes in the image of the destination. Specifically, the destination image exerts a positive moderating impact on the influence of age that moderates the overall satisfaction and recommendation intention relationship. Originality/value - Considering that the tourism economy has been severely affected by the current COVID-19 pandemic, this study contributes to a more accurate understanding of the factors affecting the recommendation intention, especially in times of crisis.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.35-37
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• 2021

Analyzing and predicting foreign tourists' demand is a crucial research topic in the tourism industry because it profoundly influences establishing and planning tourism policies. Since foreign tourist data is influenced by various external factors, it has a characteristic that there are many subtle changes over time. Therefore, in recent years, research is being conducted to design a prediction model by reflecting various external factors such as economic variables to predict the demand for tourists inbound. However, the regression analysis model and the recurrent neural network model, mainly used for time series prediction, did not show good performance in time series prediction reflecting various variables. Therefore, we design a foreign tourist demand prediction model that complements these limitations using a convolutional neural network. In this paper, we propose a model that predicts foreign tourists' demand by designing a one-dimensional convolutional neural network that reflects foreign tourist data for the past ten years provided by the Korea Tourism Organization and additionally collected external factors as input variables.

• Journal of Medicine and Life Science
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• v.19 no.1
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• pp.8-13
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• 2022

Jeju is the largest island in Korea and one of its key tourist attractions. As the number of foreign tourists steadily increases, so does the number of injuries incurred there. Accordingly, this study aimed to describe and compare the characteristics of injuries suffered by foreign tourists versus those of domestic tourists. As a cross-sectional study of a retrospective medical record survey, the study was conducted with reference to the Jeju Injury Surveillance System from the 11-year period of January 2008 to December 2018. The following factors were investigated: demographic data, mechanism of injury, place of occurrence, activity when injured, patient outcome, and mortality. A total of 92,095 injured Jeju Island visitors was recorded during this time, a number that included 88,050 Koreans and 4,045 foreigners. The gender ratio showed similar patterns between the two groups and there were no significant age differences. In both groups, the most common mechanism of injury was collisions/cuts. Also, more foreigners experienced falls than Koreans. Regarding the location, Koreans had the most road accidents, while foreigners were most likely to be injured at outdoor locations, such as seas and rivers. Furthermore, more foreigners experienced severe injuries requiring hospitalization. Notably, this study showed the differences in injury between foreign and Korean tourists visiting Jeju Island and its findings lend support to targeted safety promotion programs.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.289-298
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• 2016

There are continuos tendencies toward that foreign tourists increase. Since 55% of them visit Korea without data communication for saving the communication costs, they can not utilize a variety of O2O services through QR/NFC/Beacon. There have been some researches to provide a smart map service based on the micro webpage technology even without data communication. But, they do not suggest how the templates are retrieved into their smart-phones. In this paper, we describe a mobile tourist information system for those who have no data communication. We utilize the micro webpage technology to develop a system for market promotion, shopping goods, and tourist maps. What matters in the micro webpage techniques is that the templates should be already downloaded to the users' smart phones before using it. The preceeded research did not mention the problem. We suggest a scheme that tourists obtain the tremplates in the information offices on the spot through Wi-Fi. We describe the details of the system, and evaluate the data overhead of templates and the time to be downloaded. We show that the overheads are endurable, which means that the system would be working well.

• Journal of the Korean Society of Food Culture
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• v.19 no.4
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• pp.392-398
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• 2004

The purposes of this study were to: a) investigate how other countries brought up their traditional food into the commercial market for tourists b) analyze present marketing status of the Korean traditional food in dealing with foreign tourists as consumers. Present marketing status of the overseas and domestic tourism products focusing on traditional foods was investigated through literature reviews and face-to-face in-depth interviews conducted with professionals in tourism business. As a result, the foreign tourism products focusing on traditional foods were diverse and these products were representative of the regional heritage brought together in an effect to increase understanding of traditional foods. In case of the tourism products focusing on Korean traditional cuisine, the popular programs were 'Making Kimch', 'Making ricecake' and 'Making Bibimbap' in which tourists participated have expressed great satisfaction. The results of this study would be used as an important data in developing unique tourism programs focusing on Korean traditional cuisine attracting foreign tourists.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.8
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• pp.1209-1219
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• 2000

The importance of souvenirs are increasing immensely these days owing to the increase of foreign visitors to our country, which forces us to turn our eyes to this field. Upon these reflections, this study aims at aims at developing cap designs that satisfy the foreign tourists needs and let them recognize the outstanding beauty of Korean traditional patterns by applying traditional motifs. The Korean traditional patterns and their symbolic meanings were researched as well as the previous studies on the designing of goods for foreign visitors which had traditional patterns applied. Furthermore, the overall tendencies of the purchase of souvenirs and goods by foreign tourists in Korea as well as in foreign countries were investigated. Next, the present state of apparel goods and caps for sightseers in Korea was analyzed according to their shapes, colors, and patterns. Finally, by using CAD system, new cap designs were developed applying traditional bat motifs in order to capture the traditional images for a modern sense of beauty.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.56-63
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• 2019

The purpose of this paper is to derive an optimal route for foreign tourists in Korea. To that end, the data gained from domestic tourist portal sites was analyzed with a big data analytics tool R. The destinations most visited by inbound foreign tourists, the shortest route and the most economical route were derived from the analysis results. The findings suggest original Korean culture is the factor for successful tourist destinations and relevant products, and will serve as some reference data conducive to planning the tourist products in practice.

• The Journal of Information Systems
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• v.29 no.4
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• pp.171-191
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• 2020

Purpose The study aims to compare the online review writing behavior of users in China and the United States through text mining on online reviews' text content. In particular, existing studies have verified that there are differences in online reviews between different cultures. Therefore, the purpose of this study is to compare the differences between reviews written by Chinese and American tourists by analyzing text contents of online reviews based on cultural theory. Design/methodology/approach This study collected and analyzed online review data for hotels, targeting Chinese and US tourists who visited Korea. Then, we analyzed review data through text mining like sentiment analysis and topic modeling analysis method based on previous research analysis. Findings The results showed that Chinese tourists gave higher ratings and relatively less negative ratings than American tourists. And American tourists have more negative sentiments and emotions in writing online reviews than Chinese tourists. Also, through the analysis results using topic modeling, it was confirmed that Chinese tourists mentioned more topics about the hotel location, room, and price, while American tourists mentioned more topics about hotel service. American tourists also mention more topics about hotels than Chinese tourists, indicating that American tourists tend to provide more information through online reviews.