• Culinary science and hospitality research
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• v.22 no.5
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• pp.151-166
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• 2016

The purpose of this study is to understand the influence of Chinese customer coffee sought benefits on satisfaction with, and attachment and loyalty to Korean coffee shops. Based on a total of 200 samples obtained for empirical research from 10 Mar. to 25 July, 2015, of self-administrated questionaries completed by patrons in Beijing, Shanghai, Haerbin in China, data were analyzed for frequency, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression and hierarchical multiple regression analysis. The results of this study are summarized as follows. First, it was found that Chinese customer sought pursuits (functional & experimental benefits, symbolic benefit) had an effect on satisfaction of Korea coffee shop. Second, satisfaction influenced Korean coffee shop attachment and loyalty. Third, Korean wave attitude had a mediating effect between satisfaction, attachment and loyalty. From the results, we can conclude following implications: First, by providing atmosphere of South Korea, menu, barista service, we can predict that Korean coffee brands can prevail in competition through active promotions of their brands. Second, Korean coffee brands can make a strategy that includes providing full service from trained South Korean baristas and hosting talk shows between baristas from South Korea. Third, providing the opportunity to visit South Korea for local cafe tours is a good social event. These results will help control marketing strategies in China. Limitations and future research directions are also discussed.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.41-61
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• 2023

The universal form of life in the era of the 4th industrial revolution can probably be summarized as the keyword "non-face-to-face". In particular, in terms of consumption activities, face-to-face contact is gradually changing to a system that minimizes, and offline stores are rapidly changing to non-contact services through kiosks and robots. The social structure is also changing with the passage of time, and most fundamentally, our dietary consumption patterns are changing. In particular, the increase in single-person households and the aging population are having a great impact on changes in the food service industry, which is closely related to dietary life. The HMR (Home Meal Replacement) market has grown significantly as the labor of cooking at home has decreased and the use of substitute foods has increased. As the size of the market has grown, the types of businesses that provide products have also diversified. The development of technology, non-face-to-face culture, and corporate management efficiency are intertwined, and unmanned stores are spreading recently. In this study, service quality attributes of HMR unmanned stores, where competition is gradually intensifying, are classified, and service quality classification using the Kano model and Timko's customer satisfaction coefficient are calculated to provide implications for service management based on customer satisfaction. As a result of the analysis, 'products with short cooking time' and 'variety of products (menu)' were classified as attractive qualities, and 'cleanliness inside/outside of the store' and 'products at reasonable prices' were classified as unified quality. In addition, 'convenience of self-checkout process' was classified as a natural quality, and 'convenience of in-store passage' was classified as an indifferent quality. Furthermore, when the service factor was satisfied within the HMR unmanned store, the factor with the highest satisfaction coefficient was 'product (menu) variety', and the factor with the highest dissatisfaction factor was 'convenience of self-checkout process'. Through the results of this study, it is intended to derive priorities in service quality management of HMR unmanned stores and provide strategic implications for related businesses.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.3
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• pp.478-486
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• 2013

The purpose of this study was to analyze consumer consumption and product concept demands of Korean rice-wine. An online survey, conducted from April 28, 2010 to May 6 2010, targeted 200 consumers in Seoul and the Gyeonggi-do area. More than half of the respondents (51.3%) drank rice-wine because of the taste. The common reasons for dissatisfaction with rice-wine were hangovers (35.7%) and taste (16.9%). From analyzing rice-wine preferences, the most preferred ingredient was rice (57.8%), while the most preferred aroma and taste was derived from the fruit (48.7% and 58.4%, respectively). The most common methods consumers observed for promoting rice-wine consumption were the "development and management of rice-wine brands" (59.7%), and "continuous promotion" (44.8%). The most important attributes of a rice-wine product included its taste (4.60), followed by its quality (4.41) using 5-point Likert scale. An importance-performance analysis (IPA) was performed for the 17 attributes of rice-wine and identified targets for product management strategies, including the "usage of domestic ingredients", "ease of purchase", clarity of "product information", and "external image". Therefore, developing solid concepts in marketing strategy are required and may be achieved by understanding the consumer preferences and demands of rice-wine.

• Journal of Nutrition and Health
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• v.45 no.6
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• pp.541-551
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• 2012

In our previous work, we reported consumers' perceptions of body shape and weight control. In an ongoing effort, we analyzed the purchasing behavior, intake patterns, future purchasing decisions, and degree of satisfaction in individuals consuming dietary formula for weight control (DF) or heath/functional foods (HFFs) by using the same survey questions. Portfolio analysis for marketing strategy was also investigated. Subjects were divided into two groups according to consumption of DF or HFF during the previous year : DF group (n = 89) and HFF group (n = 110). Average intake frequency was $1.7{\pm}0.7$ per day for HFFs and $1.5{\pm}0.9$ per day for the DF, and the most prevalent form was pill (58.2%) for HFFs and bar (42.7%) for DF. Duration of intake was $3.1{\pm}2.3$ months for HFFs versus $3.9{\pm}3.5$ months for DF. The average degree of satisfaction was $3.6{\pm}0.6$ on a 5-point scale, meaning 'relatively satisfied'. For the weight control method to be used in the future, 44.5% of the HFF group selected 'HFFs' while 47.2% of the DF group selected 'DF', showing a tendency to use the current product type in the future. The average planned period for the intake was $3.8{\pm}3.7$ months for HFFs and $3.0{\pm}2.4$ months for DF (p < 0.05). The HFF group emphasized efficacy, functional ingredients of the products, reliable products, and higher satisfaction, whereas the DF group emphasized the added materials in addition to weight control effects.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.12
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• pp.1873-1880
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• 2015

The purpose of this study was to survey intention to purchase home meal replacement (HMR) made with eco-friendly food ingredients as well as need for development while analyzing importance and performance of HMR made with eco-friendly ingredients for its commercialization. From September 2014 to March 2015, questionnaires were filled out by respondents. Of the 422 questionnaires that were returned, 412 were used with 10 discarded as incomplete. Regarding reasons behind purchasing HMR, the highest percentages of both males and females answered 'ready to eat'. Almost all respondents spent 'less than 10,000 won' each time they purchased HMR. Regarding place they bought HMR, a higher percentage of respondents answered 'convenience store' and 'discount retail chain store'. In terms of improvements needed for HMR, the highest percentage of males answered 'development of a variety of menus' while the highest percentage of females answered 'change in food ingredients' at 37.7%. For development of HMR made with eco-friendly ingredients, most respondents replied that there is a need for development. Regarding intention for purchasing HMR made with eco-friendly ingredients, 66.7% of males and 73.5% of females answered they have intention to buy. Important performance analysis showed a need to improve performance of 'safety of food ingredients', which was located close to the second quadrant. To improve performance for 'safety of food ingredients', safety must be ensured through use of eco-friendly ingredients, and a systematic process for managing hazardous materials that could arise during the manufacturing process has to be developed.

• Sleep Medicine and Psychophysiology
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• v.5 no.1
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• pp.71-79
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• 1998

Objectives : This study was to evaluate sleep patterns and daytime sleepiness resulting from rotating shiftwork. The authors, also, tried to find out the relationship between the severity of daytime sleepiness and personality factors. Methods : The subjects consisted of 41 female rotating shiftwork nurses and the control group consisted of 39 female day timeworkers. All of them completed the Sleep questionnaire of Korea University Sleep Disorder Clinic, the Epworth Sleepiness Scale(ESS), the 16 Personality Factors(16PF), the Beck Depression Inventory(BDI) and the State Trait Anxiety Inventory(STAI). Multiple regression analysis of 16PF of the rotating shiftwork nurses was done to find out possible predictors of the severity of daytime sleepiness. Results : The mean duration of deprived sleep due to rotating shiftwork was $64.26\;{\pm}\;14.54\;min$. The frequency of sleep difficulty($1.24\;{\pm}\;1.17\;day/week$ vs $0.67\;{\pm}\;1.31\;day/week$, p < 0.05), time needed to fall asleep($103.05\;{\pm}\;73.48\;min$. vs $70.00\;{\pm}\;60.08\;min$, p < 0.05), sleep duration when having some difficulties in sleep ($204.25\;{\pm}\;79.90\;min$. vs $280.44\;{\pm}\;111.59\;min$., p < 0.001), recent changes in energy($x^2\;=\;4.16$, p < 0.05), worrying about sleep($x^2\;=\;11.08$, p < 0.05), and taking naps($x^2\;=\;4.98$, p < 0.05) showed significant differences between rotating shiftworkers and normal controls. The ESS socre of shiftworkers ($8.68\;{\pm}\;3.04$) was greater than that of normal controls ($6.86\;{\pm}\;3.04$)(p < 0.01). Personality factors such as C factor($R^2\;=0.283$), I factor($R^2\;=0.358$) and G factor($R^2\;=0.470$) were related with the severity of the daytime sleepiness(p < 0.001). Conclusions : The rotating shiftwork nurses had more difficulties in sleep such as having difficulties in falling asleep and in maintaining sleep, and showed lowered energy, decreased senses of well-being and so on. The rotating shiftwork nurses experienced more severe daytime sleepiness than controls did. Personality factors, such as C factor, I factor, and G factor of 16PF were suggested to be useful for predicting the severity of daytime sleepiness resulting from rotating shiftwork.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.263-286
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• 2022

This study acquires NBA statistical information for a total of 32 years from 1990 to 2022 using web crawling, observes variables of interest through exploratory data analysis, and generates related derived variables. Unused variables were removed through a purification process on the input data, and correlation analysis, t-test, and ANOVA were performed on the remaining variables. For the variable of interest, the difference in the mean between the groups that advanced to the playoffs and did not advance to the playoffs was tested, and then to compensate for this, the average difference between the three groups (higher/middle/lower) based on ranking was reconfirmed. Of the input data, only this year's season data was used as a test set, and 5-fold cross-validation was performed by dividing the training set and the validation set for model training. The overfitting problem was solved by comparing the cross-validation result and the final analysis result using the test set to confirm that there was no difference in the performance matrix. Because the quality level of the raw data is high and the statistical assumptions are satisfied, most of the models showed good results despite the small data set. This study not only predicts NBA game results or classifies whether or not to advance to the playoffs using machine learning, but also examines whether the variables of interest are included in the major variables with high importance by understanding the importance of input attribute. Through the visualization of SHAP value, it was possible to overcome the limitation that could not be interpreted only with the result of feature importance, and to compensate for the lack of consistency in the importance calculation in the process of entering/removing variables. It was found that a number of variables related to three points and errors classified as subjects of interest in this study were included in the major variables affecting advancing to the playoffs in the NBA. Although this study is similar in that it includes topics such as match results, playoffs, and championship predictions, which have been dealt with in the existing sports data analysis field, and comparatively analyzed several machine learning models for analysis, there is a difference in that the interest features are set in advance and statistically verified, so that it is compared with the machine learning analysis result. Also, it was differentiated from existing studies by presenting explanatory visualization results using SHAP, one of the XAI models.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.31-44
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• 2008

The 1st phase framework data implementation of National Geographic Information Systems (NGIS) used 1:5,000 digital map with 5 years updating period which is lacking in the latest information. This is a significant factor which hinders the use of framework data. This study proposed the efficient technical method of a location based object data management and system implementation for updating framework data. First, we did an object-oriented data modeling and database design using a location based features identifier(UFID: Unique Feature IDentifier). The second, we developed the system with various functions such as a location based UFID creation, input and output, a spatial and attribute data editing, an object based data processing using UML(Unified Modeling Language). Finally, we applied the system to the study area and got high quality data of 99% accuracy and 35% benefit effect of personnel expenses compare to the previous method. We expect that this study can contribute to the maintenance of national framework data as well as the revitalization of various GIS markets by providing user the latest framework data and that we can develop the methods of a feature-change modeling and monitoring using an object based data management.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.77-87
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• 2020

This study aims to suggest basic data for developing forest product in Jeongeup City by surveying and analyzing consumer awareness and purchasing behavior. A survey was conducted focusing on local tourist attractions in Jeongeup City, and the analysis was conducted on 234 people. Among the local specialty processed products that the survey participants had experience in purchasing, food was mainly tea, concentrate solution, liquor, snacks and fruit syrup/enzyme. The therapy was shown in order of soap, aroma oil, and lotion. It was found that the purchase cost was more than 10,000 won and less than 30,000 won. Major purchase uses were for direct use and gifts, and 56.8% of the customers were satisfied with the satisfaction of the products, which were found to be purchased because of their good quality, good gift, and good health functions. In the question of 11 kinds of forest products, the subjects were aware of bokbunja, balloon flower, wild flower, deodeok, bracken, durum, and mal, among which bokbunja and wild flower were recognized as the representative forest products of Jeongeup. A cluster of food and therapy product selection attributes was analyzed to find target consumers. As the group that is interested in forest products and values the safety and quality of products is highly recognized, the value of forest products should be increased in consideration of the quality and safety of forest products when developing products in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.5
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• pp.46-55
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• 2012

This study proposes an estimate method of willingness to pay(WTP) for real-time route guidance systems using contingent valuation method(CVM) under double bounded dichotomous choice question(DBDCQ) and analysis for impact factors of WTP estimation. This study assumed that provided real-time traffic information service is optimal route concepts dealing with traffic conditions on origin-destination. Analysis targets were classified into two groups as short distance path and middle distance path for estimating WTP for realtime route guidance system in a year using the survival analysis method and the regression model with personal information, actual condition and satisfaction of information usage and users' awareness and usage of facilities. As a result, mean WTP of realtime route guidance system is 4,034won/year in short distance path, and 4,884won/year in middle distance path. Therefore real-time route guidance system for longer distance path is recognized as more valuable than shorter distance path. Moreover, the necessity of information was required on a higher income group and higher WTP was estimated on owners of vehicle group and lower awareness of a route group.