• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.392-394
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• 2021

This paper is a thesis on an automatic restaurant recommendation application for tourists traveling to travel destinations. when you run the application at any travel destination in KOREA, it is an application that recommends desired services such as Korean, Chinese, Western, etc, regardless of the type of food, so that restaurant rankings are poured out in tourist destinations. not only recommending restaurants, but also collecting related information DB so that you can easily find restaurants in tourist destinations through reviews and stars such as hygiene conditions, prices, and compliance with quarantine regulations due to the recent coronavirus. the application was developed

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.512-520
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• 2017

The purpose of this study is to investigate the relationship between service quality, service value, customer satisfaction and destination association. Based on previous studies, hypotheses and research models were derived and surveyed. The analysis was conducted using 406 valid questionnaires. The study results are as follows. The physical environment and the food quality of the tourist restaurant service quality affected service value. Employee service and food quality affected satisfaction. Service value affected satisfaction. The value of service affected the association of sightseeing destination. Nevertheless satisfaction did not affect the association of sightseeing spots. Based on these study results, the following implications are suggested. Restaurant management should prioritize food quality control. Local governments need support the improvement of the physical environment. A local menu that is reminiscent of tourist attractions should be developed.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.5
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• pp.802-811
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• 2010

This study aimed to determine a tourist family's perceptions of dining at a holiday destination. A key assumption of this study was that dining at an unfamiliar locale at a tourist resort is engaging in risk-taking behavior by the tourist family. In this unfamiliar setting, participation in the local food market takes on a significant role in the tourist family's sense of satisfaction and loyalty. For the purpose of this study, involvement pertains to the family's perceived relevance of the objective of this study based on inherent needs, values, and interests. For this study, 151 subjects vacationing with his/her family on Jeju Island participated. To perform research on perceived risk and involvement in terms of the decision maker's capacity, only one member of each family responded to the survey, which examined the impact on sense of satisfaction of perceived risk and involvement in the local food scene. Perceived risks were divided according to financial, performance, physical, social-psychological, and time-risk factors. Perceived risk and involvement were found to be significant predictors of the overall satisfaction of the tourist family's local food consumption. Furthermore, performance risk was determined to be significantly linked to the tourist family's dining sense of satisfaction and loyalty. These findings provide some meaningful marketing implications for Jeju Island's tourism industry. Reducing the performance risk and increasing the local food involvement may activate rural tourism and local food consumption. Theoretical and practical contributions to local food marketing are discussed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.193-200
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• 2021

Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.