• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.497-507
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• 2008

This study investigated relationships between the importance and satisfaction of rice-based menu selection attributes at family restaurants. For data collection, a total of 250 copies of questionnaires were distributed to 4-year college students who had an experience of a rice-based menu at casual dining restaurants, and finally 221 surveys (88.4%) among them were analyzed by using SPSS Win ver. 11.5. Twenty selection attributes were used to test the level of importance and satisfaction for rice-based menu. The factor analysis identified six dimensions of the importance of rice-based menu selection attributes; variety of items, menu information, recommendation & atmosphere, food quality, preferred menu, and price. Also, five dimensions of satisfaction were identified as nutrition & taste, menu information, preferred menu & atmosphere, variety of items, and cooking. Canonical correlation analysis revealed that preferred menu factor of importance was highly correlated with preferred menu and restaurant atmosphere factor of satisfaction of rice-based menu selection. The managerial implications of these results for rice-base menu selection attributes are as follows: There seems to be a need to develop a variety of rice-based menus, because rice-based menus tend to be considered as an additional menu, not a main course. Aggressive marketing and communication strategies are necessary to position rice-based menu as a main course for college students and as a major maket segment to family restaurants.

• Journal of the Korean Society of Food Science and Nutrition
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• v.31 no.3
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• pp.492-499
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• 2002

The objective of this study is to identify the attribute factors for fast food selection according to their characteristics of the use behaviors and demographics. The results of these findings suggest the attribute factors for selection were classified into ten : physical service, cleanliness/promptness, human service, convenience/promotion, accessibility, menu variety, food quality, service for child and parking, added service, and comfortness. “Cleanliness” and “good taste” were considered as determining factors in selecting a fast food restaurant. According to the consumer's use behaviors and demographics, attribute factors for fast food selection were significantly different. Therefore, the marketers and managers on the fast food industry should develop their own appropriate marketing strategies and implement effective targeting, positioning, and promotional strategies.

• Journal of the Korean Society of Food Culture
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• v.30 no.3
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• pp.333-344
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• 2015

This study aimed to identify the effects of health-related menu choice attributes on customer behavioral intentions at well-being restaurants and analyze the moderating effects of food involvement and trust, which can influence customer preference and their intentions to visit well-being restaurants. This study designed a survey, and 351 respondents who have eaten at well-being restaurants completed the questionnaire. Exploratory factor analyses were conducted to identify underlying dimensions related to health-related menu choice attributes, food involvement, and customer behavioral intentions toward well-being restaurants. The three factors regarding health-related menu choice attributes and the three factors related to food involvement were identified. In order to test the relationships between health-related menu choice attributes and behavioral intentions as well as to investigate the moderating effects of food involvement and trust, hierarchical regression analyses were conducted. Results indicated that the three factors of health-related menu choice attributes were significantly and positively related to behavioral intentions. Among food involvement factors, dining environment and cooking were significantly related to behavioral intentions toward well-being restaurants. Trust had a significant influence on behavioral intentions. Results showed that food involvement and trust could moderate the effects of health-related menu choice attributes on behavioral intentions toward well-being restaurants.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.4
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• pp.488-502
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• 2014

Research on the actual state of healthy Korean food menu items made from environmentally-friendly organic foods showed that 65.6% of subjects had experience of purchasing environmentally-friendly organic foods, and both genders chose 'expensive but reliable' as their prime reason for purchasing. Having no experience of purchasing environmentally-friendly foods constituted 34.5% of respondents, and the reasons were 'high price' and 'finding no difference from ordinary food'. Research on awareness of healthy Korean food menu items made from environmentally-friendly organic ingredients showed that both men and women thought the given menu items were 'fresh' but had little awareness of other factors such as 'good value for price', 'good visual style' and 'various recipes'. Regarding development prospective of environmentally-friendly organic foods, the number of subjects who answered positively was 405 (93%), which indicates that most research subjects showed positive attitudes. Top-selling menu items in the grain section were Sundubu-jjigae, Dubu-kimchi and Jeonju-bibimbap, and pajeon took first place in the vegetable selection. Moreover, Imjasu-tang showed high scores in the meat section. Furthermore, research on menu selection showed that menu selection was usually dependent on 'the price of menu (3.86)', 'fresh ingredients (4.03)', 'harmony of color (3.65)' and 'mood of the day (3.25)'. Research on menu selection revealed that 'quality of food' factors had the greatest influence upon preference and purchase intention for environmentally-friendly organic foods. Visual and psychological factors and values had significant an effect. Therefore, the food service industry should use this study as a source to develop menu items, by considering quality and visual factors. In addition, there should be various research performed on marketing strategies about menus from using environmentally-friendly organic foods and high value products.

• Korean Journal of Community Nutrition
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• v.9 no.2
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• pp.183-190
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• 2004

This study was designed to identify how customers considered menu selection attributes on menu choice, and so the instrument for measuring that question was developed and menu selection behavior types were analyzed by customers' characteristics. Cronbach's alpha to assess the internal reliability of the developed scales was 0.8361, which indicated to be highly reliable. Construct validity was assessed by principal components factor analysis with a Varimax rotation to identify underlying dimensions of menu selection and then four factors explaining 55.618% of the total variance were found. These factors were labeled as 'quality of meals', 'attractiveness of meals', 'healthfulness of meals' and 'variety of meals', respectively. As a result of analysis on menu selection factors, 'quality of meals'(3.82 out of 5) was the highest consideration followed by 'variety of meals'(3.51), 'healthfulness of meals'(3.49) and 'attractiveness of meals'(3.34), so that menu marketing approaches in the perspective of quality of meals would do lead customers' selection rates, customer satisfaction and then sales highly. Frequent visitor selected menu indifferently but customers who were interested in food and menu highly, who perceived meals' quality highly, and who were satisfied with overall foodservice did with concern. On the basis of these results of study for the target of food court-style B ＆ I foodservice operation, which was introduced as an ideal model in future foodservice market by the concept of 'customer's selection right', the following study related with customers' meal patterns and perception of foodservice by menu selection attributes would be able to predict the chances for success of food court-style foodservice operations.

• Journal of Nutrition and Health
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• v.53 no.6
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• pp.688-701
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• 2020

Purpose: This study was performed to evaluate the importance and satisfaction of the selective attributes of delivery food and to analyze the factors affecting customer satisfaction. Methods: A total of 574 responses were collected from customers who had ordered delivery food for data analysis. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2 tests, t-test, factor analysis, Pearson correlation, multiple regression analysis, and Importance-Performance Analysis (IPA). Results: The importance of delivery food selection attributes was higher in the order of 'hygiene control level (4.72)', 'taste of food (4.64)', and 'delivery accuracy (4.40)'. Satisfaction assessment was higher in the order of 'taste of food (4.32)', 'delivery accuracy (4.26)', and 'convenience of using the delivery app (4.21)'. According to the results of IPA, items that were priorities for improvement were charges for delivery, discount offers, sufficient description of the menu, and rapid handling of customer complaints. On an average, overall customer satisfaction score of delivery food was 4.01 out of 5 points. Additionally, five satisfaction factors were extracted by exploratory factor analysis. According to the results of multiple regression analysis, quality of delivery platform (p < 0.001), quality of delivery service (p < 0.001), convenience and diversity (p < 0.001), quality of delivery food (p < 0.001), and health and safety (p < 0.001) had significant positive effects on overall customer satisfaction. Conclusion: To increase customer satisfaction among delivery food customers, restaurant or delivery platform managers should consistently improve not only the quality of the delivery platform but also the quality of the delivery food and service.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.11
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• pp.1750-1758
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• 2015

The purposes of this study were to investigate the effects of university foodservice quality attributes on Chinese students' satisfaction, as well as the mediating effects of perceived value on the relationship between foodservice quality attributes and satisfaction. A total of 250 university students in Daejeon were surveyed, and 216 responses were returned. Excluding responses with significant missing data, 196 responses were used for data analysis. The reasons for using university foodservice were 'meal plan' (37.8%) and 'time saving' (22.4%), whereas the reasons for not using university foodservice were 'untasty food' (33.2%) and 'limited menu selection' (27.6%). Results confirm that enhanced performance of food quality, service quality, sanitation, and convenience had favorable effects on perceived value and satisfaction. Further, perceived value had a significant positive influence on satisfaction. In analyzing the mediating role, the effect of foodservice quality attributes on satisfaction was partially mediated by perceived value.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.2
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• pp.1-10
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• 2000

The purpose of this study is to develope a parcel-based automatic simulation system of land price through the integration of urban mathematical model and GIS. The appraisal process of public land price by the local government is simple but is a great time-consuming task. Moreover, it doesn't provide any statistical analysis and spatial presentation tools. So, it is difficult for planners or administrative officials to analyze the variation of land price with spatial idea. From these, a system is developed combining two sub-systems, they are ANN(Artificial Neural Network) for the calculation of land price and GIS for visual presentation. Using Matlab application, ANN model was designed having 3-layer structure and was trained with the sample data taken from Chinju city. With the trained network, the impact of 'road', 'parks', 'height control district' and 'beauty district' on land price in 9 regions(dong) are simulated. The results of the simulation were visualized with ArcView GIS. The automatic simulation system operated through the DDE(Dynamic Data Exchange) conversation between two applications. ArcView was set as client and Matlab as server. Scripting in ArcView and customizing a window of ArcView, this system can execute the whole process of simulation by just clicking a button with mouse. As a conclusion, this system was proved to be an effective and easily controllable planning support system for the land price simulation.