• KIEAE Journal
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• v.9 no.3
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• pp.37-46
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• 2009

This study conducted an evaluation of the streetscape improvement project of the Gwangbok Street through analysis of visual and perceptual characteristics by comparing selected pictures of streetscape before and after the project. This work has conducted an analysis of the environmental factors which influence subjects' satisfaction degrees including physical street equipments and street view factors which are main contents of this project. Using a satisfaction analysis and factor analysis, each factor's significance was verified quantitatively. As a result of the analysis, physical components of the streetscape were classified into 4 types according to project's effectiveness and improvement priorities. These 4 types include (1) Components for maintenance because of higher satisfaction and higher importance, (2) Components for improvement because of lower satisfaction and higher importance, (3) Components for good business fruits because of higher satisfaction and lower importance, and (4) Components for unnecessity because of lower satisfaction and lower importance.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.213-227
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• 2023

This paper aims to examine the farmers' perceptions of the importance and feasibility of climate change awareness and adaptive measures in agriculture, utilizing paired sample t-tests and Importance-Performance Analysis (IPA). Significant differences were found in farmers' views on the importance and urgency of climate change issues, with specific factors standing out. The IPA analysis identified key issues requiring sustained attention, including climate change magnitude, extreme weather events, livestock damage scale, pest fluctuations, and variability in flowering periods. Additionally, the study revealed significant disparities in farmers' perceptions of the importance and feasibility of adaptive measures, except for specific items related to heat indices.

• Journal of the Korean Society of Food Culture
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• v.35 no.1
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• pp.55-64
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• 2020

This study on the importance and satisfaction of selection attributes for customers using Michelin restaurants. The survey was conducted on 309 respondents who had visited and used restaurants by classifying the Michelin restaurants into starred restaurants and Bib Gourmand restaurants. The data was collected and the frequency analysis, t-test verification, and IPA analysis were performed using the SPSS 25.0 statistical program. The results of the study examined the difference between the importance and satisfaction of the choice of starred restaurants. Overall, the importance was higher than satisfaction. The importance of hygiene and cleanliness was recognized by many customers that the expectation for the overall Starred restaurants was very high. Bib Gourmand, showed that the importance was higher than satisfaction. In terms of importance and satisfaction, the taste of food is the most important and the satisfaction is high. Comparing the IPA analysis of the attributes of 1) hygiene and cleanliness, food quality, convenience, and facade of food, 2) service professionalism and variety of menus, 3) food price, atmosphere and amount, and 4) the attitude and kindness of the employees were shown. This study has great significance in providing practical basic data for the management of domestic Michelin restaurants.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1414-1424
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• 2021

In this paper, the importance of input factors of a DNN (Deep Neural Network) PM_2.5 forecasting model using LRP(Layer-wise Relevance Propagation) is analyzed, and forecasting performance is improved. Input factor importance analysis is performed by dividing the learning data into time and PM_2.5 concentration. As a result, in the low concentration patterns, the importance of weather factors such as temperature, atmospheric pressure, and solar radiation is high, and in the high concentration patterns, the importance of air quality factors such as PM_2.5, CO, and NO₂ is high. As a result of analysis by time, the importance of the measurement factors is high in the case of the forecast for the day, and the importance of the forecast factors increases in the forecast for tomorrow and the day after tomorrow. In addition, date, temperature, humidity, and atmospheric pressure all show high importance regardless of time and concentration. Based on the importance of these factors, the LRP_DNN prediction model is developed. As a result, the ACC(accuracy) and POD(probability of detection) are improved by up to 5%, and the FAR(false alarm rate) is improved by up to 9% compared to the previous DNN model.

• Korean journal of food and cookery science
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• v.29 no.6
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• pp.637-645
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• 2013

The purpose of this study was to investigate the consumers' selection attributes of social enterprises type cafe by IPA(Importance-Performance Analysis). Data were collected through a self-administered questionnaire by 309 random consumers in several social enterprises type cafes in Seoul and Gyonggi area. The data was analyzed using SPSS windows(ver. 17.0) for descriptive analysis, t-test, one-way ANOVA and factor analysis. The importance of cafe's selection attributes were divided into five factors including 'promotion and menu', 'service quality and atmosphere', 'location', 'taste', and 'brand name'. The mean scores of importance and performance for cafe selection attributes were 4.01 and 3.68 out of 5, showing a significant difference between importance and performance. According to the IPA results of 17 selection attributes for social enterprises type cafe, the selection attributes with relatively low performance but high importance(II quadrant) was 'easy accessibility'. The factor to be improved through the IPA was accessibility factor, showing that the consumers had a low satisfaction compared to the significance of cafe's location.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.402-414
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• 2023

This study evaluated the consumers' demands and points of improvement for restaurant meal replacement through importance-performance analysis by the restaurant meal replacement segment market using food involvement. The results were as follows. First, after segmenting the restaurant meal replacement market using food involvement, it was classified into three markets (multiple involvements, exploration-oriented, and product quality-oriented). Second, an analysis of the importance of restaurant meal replacement selection attributes revealed taste, sanitation, quality, freshness, price, saving time, texture, ingredients, preparation process, and quantity to be highly important. An analysis of the differences according to the market type revealed the multiple involvement type to be more important than other groups, considering the restaurant meal replacement selection attribute element. Third, an analysis of the importance-performance analysis of restaurant meal replacement selection attributes revealed that quantity and price as the selection attributes that needed to be improved first in all three markets. In addition, in the multiple involvement type, food additives appeared as a selection attribute requiring priority improvement, revealing the characteristics of a market that cares about diet and health.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.232-246
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• 2024

This study examines options to revitalize a B2B textile trading platform, exploring user satisfaction and perceptions of the importance of several website features. Between June 8 and June 21, 2023, fashion studies majors and domestic fashion brand product planners were asked to use the website of an open B2B textile platform for 30 minutes and then evaluate its features by responding to a survey. The final sample for analysis wad comprised of 150 questionnaires. To analyze the key textile website features, a paired t-test, Importance-Performance Analysis (IPA), and multiple regression analysis were utilized. The analysis classified the key textile website features related to user importance and satisfaction into the following categories: convenience, appearance, product information, and uniqueness. An analysis investigation of the differences in importance and satisfaction for each website evaluation attribute found significant differences in 12 attributes. The IPA analysis revealed that attributes such as product reliability, quality, a convenient search function, and convenient page movement are highly important to users and garner high user satisfaction; these findings demonstrate the importance of maintaining these elements. Images on the main screen, the latest trend information, and product prominence attributes also garner high importance ratings, but result in low user satisfaction, which signifies extensive revision is required. Finally, user evaluation of the convenience, appearance, and product information of the website was found to affect user recommendation intention.

• Journal of the Korean Dietetic Association
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• v.14 no.2
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• pp.114-126
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• 2008

The purpose of this study was to gauge customers' satisfaction with the hospital, university, factory, and office foodservices from a contracted provider. Importance-performance analysis (IPA) evaluations were conducted. Questionnaires were returned from 1,808 customers in 46 foodservice locations. The average total scores of the importance and performance of seventeen quality characteristics were 4.14 and 3.23, respectively, on 5-point scales. The average total score of gap (gap = performance - importance) was -0.92. Analysis of significant difference according to the type of foodservices revealed that, hospital foodservices had more items with significant high scores than those of other groups in the average total scores concerning importance (p<0.01) and performance (p<0.01). The average total scores of gap showed no significant difference. Significant differences were evident in the food and personal service dimensions, and the scores of hospital foodservices trended significantly higher than those of other groups. Importance-performance analysis (IPA) analyses for hospital foodservice implicate 'variety of menu', 'cleanness of dishes', and 'taste of food' as items requiring prompt attention and improvement.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.51-64
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• 2016

The object of this study was to find out the influence of juvenile self-consciousness on the importance of unit 'clothing and self-express' in technology home economics curriculum and appearance management behavior. Questionnaires were administered to 244 middle school students living in Deagu metropolitan City. Frequency, factor analysis, reliability analysis, regression analysis, and ${\chi}^2-test$ were used for data analysis. Our findings are as follows. Self-consciousness had factors as privately and socially self-consciousness and social anxiety. The factors of the importance of unit 'Clothing and self-express' were clothing, self-express and excellence in traditional clothing. Appearance management behavior had factors as appearance management, plastic surgery interest, diet importance, health focus and eating habit. Self-consciousness was found to have significant effects on the factors of the importance of unit 'Clothing and self-express', and self-consciousness on factors of appearance management behavior. The differences by gender of middle students was examined in clothing and textile interest, clothing and textile unit interest and knowledge acquisition route.

• Journal of Nutrition and Health
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• v.35 no.6
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• pp.668-680
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• 2002

The purpose of this study was to investigation the importance and categorization of task elements of school food service dietician and to provide the useful data for standard model of the dietician′s tasks of school foodservice. This study was conducted in school food services nationwide in method of written questionnaire. The questionnaires were mailed to the dieticians of 3 type school foodservice system-conventional, commissary, joint management. Of the 660 schools that participated in this study, the responses from 212 conventional system and 212 commissary system and 200 joint management system were selected for analysis. Statistical analysis was performed with SAS/Win 6.12 package program for descriptive analysis, T-test, ANOVA, factor analysis using. The main results of this study can be summarized as follows Importance level was more than 4 score out of 5 scale in most of the task elements. The result was indicative of the appropriateness of definition of the 61 task elements. Of 61 task elements, importance level on ′nutrition education′ and on ′evaluation of foodservice operation management′ indicated the most significant difference between present and ideal situation. Through factor analysis, 61 task elements were regrouped into 7 dimensions; "Duty dimension of cooking and distribution management", "Duty dimension of cost management", "Duty dimension of raw material management", "Duty dimension of education management", "Duty dimension of menu management", "Duty dimension of record keeping of foodservice", "Duty dimension of general management (others)".