• The Korean Journal of Franchise Management
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• v.11 no.1
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• pp.19-29
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• 2020

Purpose - To understand the assessment basis of customers' coffee shop experience and give more practical advices to the franchised coffee shops which are poorly managed in the competitive market, this study identified factors to measure the quality of customer experience and explored the relationship between these factors and customer satisfaction and loyalty. Further, this study analyzed which role self-efficacy played in the structural relationship between the quality assessment factors, satisfaction and loyalty of franchised coffee shops. Research design, data, methodology - The data were collected from respondents who had visited franchised coffee shops within the previous month through online survey. The questionnaires were surveyed from February 11 to February 14, 2019. A total of 318 responses were collected after excluding four of incomplete or uncandid responses. A structural equation modeling approach was used to examine the proposed hypothesis and a confirmatory factor analysis was employed to verify the four dimensions of quality assessment. Results - The findings of this study are as follows. First, the three of quality assessment variables significantly influenced on satisfaction except environmental quality. Second, economic and service quality significantly influenced on self-efficacy but environmental and menu quality didn't. Third, satisfaction significantly influenced on loyalty but not on self-efficacy. Fourth, self-efficacy significantly influenced on Loyalty. Conclusions - This study identified the four dimensions to assess the franchised coffee shop service - menu, environment, service and economic quality and verified these four dimensions are valid as indicators to measure the quality of customers' coffee shop experience. Further, by empirically testing the structural relationships among these quality assessment dimensions, satisfaction, self-efficacy and loyalty, this study provided theoretical foundations to explore the relationship between customer and the franchised stores in restaurant businesses. For the industry, the study findings showed that customers highly appreciated menu and economic quality of the service rather than the stores' interior. This indicate that the franchised coffee shops need to focus more on the basics of coffee such as taste and menu variety and economic value than the decoration of the store, which are often over-invested nowadays.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.263-270
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• 2020

The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.271-278
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• 2020

Modern financial services go beyond the stage of internet banking, and new concepts of financial transactions such as Internet of Things, mobile banking, electronic payments, and fintech have emerged. As a result, banks are less influential in financial transactions, and changes are being demanded. In the present era, the basic business of banks has decreased, and it is transforming into a space where both consumer finance work and reside. The bank office stands for the brand image of the bank, and it is represented by trust with customers in the basic business of financial transactions, and the rise in real estate value is a natural social phenomenon due to the nature of the location and location of real estate owned by the bank. The business method and space of the bank office that meets the new paradigm of the modern society is an inefficient space only for the convenience and rest of consumers, but it must be used as a variety of spaces suitable for the region to increase the functional value of the bank office. Through this study, as a convenience space for consumers, various service facilities should be introduced to understand the characteristics of the region as a convenience space for consumers, and various service facilities should be introduced to meet the needs of consumers, and the bank office should be improved as a complex service space for local residents.

• Journal of Nutrition and Health
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• v.54 no.3
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• pp.305-320
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• 2021

Purpose: This study analyzed the dietary patterns of Central Asian immigrant workers (Mongolia, Kazakhstan, Uzbekistan, and Kyrgyzstan) living in South Korea to determine the food acculturation and how their dietary practices have changed after immigration. Methods: Self-administered questionnaires were completed by 186 Central Asian immigrant workers living in South Korea. A food frequency questionnaire (FFQ) was used to obtain information on the consumption frequency of 22 food items before and after their immigration to Korea. Results: Central Asians switched to Korean meat consumption patterns, which consume mainly pork, chicken, and beef, showing a decrease in the intake of beef and lamb and an increase in that of pork. Their consumption of Namul (cooked vegetable), Kimchi, rice, and marine products increased while that of potatoes decreased during acculturation to Korean food culture. Positive changes were observed in Mongolians' eating habits. Their meat-based diet turned into a healthy one in which nutritional balance was achieved by consuming the various food groups. Negative dietary changes were also observed; intake of instant foods and coffee increased while black and green tea consumption decreased. Intake of Namul (p < 0.01), Kimchi (p < 0.01), rice (p < 0.001), ramen (p < 0.001), pork, chicken (p < 0.01), fish (p < 0.01), seafood (p < 0.001), and coffee (p < 0.001) increased significantly in the group that responded and their health improved after moving to Korea. This result suggests that health improved among those who were well settled in Korea and ate the various food groups. Conclusion: These findings can help understand the acculturation process to Korean food culture and provide a basis for developing policies to help them adjust to Korean food culture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.385-397
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• 2021

This study examined service failure and recovery of domestic ethnic food restaurants based on a model of the repercussions of service failure dealing with seriousness and control and the cause-and-effect relationships among the variables relevant to the quality of relationships -trust, satisfaction, and loyalty. This study provides valuable information for Korean restaurant managers regarding food service failure and response plans by collecting data from actual Japanese tourists visiting ethnic food restaurants. The results suggested that it is important to develop a strategy to present the distributional fairness to customers who recognize the seriousness of service failure to control the situation promptly. These results can be used to establish more systematic business plans, improving customer management and firm performance. The advantage of this research is that it is time for substantial research data on the booming domestic restaurant industry and service quality to overcome the current recession and grow and solidify the current restaurant market.

• The Journal of Bigdata
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• v.5 no.2
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• pp.97-110
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• 2020

The global pandemics occurred in 2020 had a great economic impact on the world, and the impact was especially greater on self-employed people who were heavily affected by the floating population and tourism industry. To solve this problem, each country implemented emergency disaster support policies, and it was difficult to select the criteria and scope. The following research carried out two results. First, after analyzing the impact of global pandemics on the local economy, an economical index was defined that could explain the impact intuitively. Second, we propose linear programming methods to provide optimal budget policy using defined indicators, which present economic shock indicators and optimal years that can be considered quickly and easily by the government. Finally, the limitations and implications of the proposed study model are introduced.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.9-20
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• 2021

In order to develop practical indicator that can diagnose the regional conditions and characteristics of fishing villages, this study reviewed domestic and foreign researches and selected the diagnostic indicator of fishing villages by spatial unit. The major categories are divided into population and society, economic conditions, and living conditions. The middle categories consists of population, household, industry, tourism, settlement, environment, safety, health and welfare, education, and culture and leisure. The indicator were selected with reference to the existence of statistical data officially provided according to the spatial range(Si/Gun, eup/myeon, village). Based on the selected indicator, the test evaluation was conducted in Jindo-gun, Jeollanam-do by applying data that can be obtained from KOSIS and web GIS. It is judged that the diagnostic indicator developed through this research can be used in various ways from the planning stage to the implementation stage of the regional development project, such as grasping the current conditions, setting improvement targets, promotion and evaluation/monitoring of the project. In addition, it is expected that it will be possible to carry out regional diagnosis for each spatial unit and to plan and implement regional development projects by giving priority to areas where the level of each department is insufficient.

• Knowledge Management Research
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• v.23 no.1
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• pp.187-201
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• 2022

Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.239-249
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• 2022

This study aims to analyze and compare the activating factors of domestic and overseas scuba diving resorts. Our delphi survey was conducted three times in 30 experts who involved in operation and management including scuba diving resort management representative and training team leader. As a result of comparing the activating factors at domestic versus overseas, it was found that common important activating factors included expansion of convenient facilities at public diving places, installation of safety and medical facilities for divers, development of first aid system including AED and oxygen ventilator, requirement of convenient facilities such as water lift and toilet in diving boat, installation of diving boat screw safety system, local boat operation guideline, regular course training program for scuba diving, employment of professional scuba diving instructor and guide, communication and promotion through various SNS portals, promotion by divers' word of mouth, involvement in regional Diving Resort Association, involvement in Korean Diving Association, communication and mutual benefit with local fishing villages, and linkage policy with local tourism industry.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.137-144
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• 2022

This study is an empirical study on whether the interval of K-pop content updates and price changes consumer purchasing intentions for domestic fandom commerce platforms that turn their profit structure online and strengthen fandom-based marketing to cope with changes in the digital environment. FGI and a survey was conducted using a conjoint analysis designed to confirm the difference in price elasticity according to the content update interval. As a result, the price elasticity of K-pop content was found to be an inelastic characteristic, and the change in price elasticity according to the content update interval was not statistically significant. This study provides basic data to be used to establish a marketing strategy for the fandom commerce market that will grow in the future.