• Journal of the Korean Home Economics Association
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• v.44 no.3 s.217
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• pp.27-49
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• 2006

This study investigated the integrated effects of family, school, internet, and mass culture factors on the identity formation of adolescents. Specifically, the purposes of this study were to categorize adolescents into groups by what they do during the time except the life in school and to investigate differences among the groups regarding the identity information(body image, self-esteem, self-identity) and the influences of environmental factors on identity formation of adolescent. The study distributed questionnaires to middle and high school adolescents of five representative cities in South Korea. The total respondents were 2240(960 from Seoul/Kyongki, and 320 each from Taegu, Pusan, Kwangju, and Taejon). The response rate was 98.7%. The data were analyzed by factor analysis, cluster analysis, ANOVA, Duncan test, and multiple regression. The results showed that Korean adolescents were segmented into five groups : TV preference group, computer preference group, friends and family involvement group, homework and study preference group, and study institute involvement group). The five groups were significantly different in regard to body image pursuit, self-esteem, and self-identity. The body image pursuit, self-esteem, and self-identity of adolescents were significantly different in regard to each environmental factors, in each adolescent group.

• Korean journal of food and cookery science
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• v.30 no.1
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• pp.84-91
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• 2014

The purpose of this study was to identify the effects of emotional labor on emotional exhaustion among school dietitians according to the level of their self-efficacy. A survey was administered on 300 school dietitians during September 2012 and a total of 277 usable questionnaires were received. The data were analyzed by using the SPSS 18.0 package program. As a result of principal factor analysis for validity test, 26 variables were classified into one factor for self-efficacy, three factors for emotional labor and one factor for emotional exhaustion with a total variance percentage of 67.371%. Internal consistency was estimated by Cronbach's alpha, which yielded reliability coefficients of 0.922 (self-efficacy), 0.916 (emotional display), 0.806 (surface acting), 0.808 (deep acting) and 0.850 (emotional exhaustion). Subjects were segmented into 2 groups of 'high self-efficacy' (n = 159) and 'low self-efficacy' (n = 118) according to the cluster analysis for self-efficacy variables. The 'high self-efficacy' group exhibited higher education(p < 0.01) and served less lunch meals than other groups (p < 0.05). According to multiple regression analysis, the emotional display proved to be significantly and positively related to emotional exhaustion (${\beta}$=0.319, p<0.001) in high self-efficacy group. However both emotional display (${\beta}$=0.233, p<0.05) and surface acting (${\beta}$=0.262, p<0.01) were positively related to emotional exhaustion in the low self-efficacy group. These results suggest that school dietitians should be more aware of their self-efficacy to relieve the effects of the emotional labor on emotional exhaustion.

• The Research Journal of the Costume Culture
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• v.19 no.3
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• pp.637-649
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• 2011

Environmental protection has become more important than ever because of increasing environmental pollution and abnormal climatic changes caused by the depletion of resources from industrial activities. Fashion products can create various environmental pollutants during the production process. Since they are in direct contact with the body, the environment-friendly features for the fashion industry will become increasingly important and the necessity to execute a detailed study regarding the environment-friendly fashion marketing will also become increasingly important. The purpose of this study was to segment the levels of environment-friendly fashion marketing mixes, that analyze the relationship between consumer decision-making factors and purchasing intentions. We propose effective several marketing strategies. A total of 457 questionnaires were analyzed using frequency analysis, t-tests, correlation analysis, regression analysis, and ANOVA in SPSS. The results are as follows: First, environment-friendly fashion products were segmented into four groups, environment-friendly materials, environment-friendly production, environment-friendly management, and recycling/ disuse of products. Second, the promotion of environment-friendly fashion products were highly ranked, followed by materials used, distribution methods, and production management. Third, women considered usage, management, and price for environment-friendly fashion products as more important than men did. Finally, a total of 39.4% of the respondents had purchased environment-friendly fashion products, with a preference to buy environment-friendly underwear, outerwear, bags, shoes, and accessories. By establishing and executing the environment-friendly fashion marketing mixes, fashion companies execute successful marketing activities in both domestic and international markets.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.3
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• pp.518-523
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• 2006

Due to keen competition among companies, they have segmented customers and they are trying to offer specially targeted customer by means of the distinguished method. In accordance, data mining techniques are noted as the effective method that extracts useful information. This paper explores customer segmentation of the home study company using a hybrid decision tree and artificial neural network model. With the application of variance selection process from decision tree, the systemic process of defining input vector's value and the rule generation were developed. In point of customer management, this research analyzes current customers and produces the patterns of them so that the company can maintain good customer relationship. The case study shows that the predicted accuracy of the proposed model is higher than those of regression, decision tree (CART), artificial neural networks.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.263-274
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• 2010

To provide context-aware music recommendation service, first of all, we need to catch music mood that a user prefers depending on his situation or context. Among various music characteristics, music mood has a close relation with people‘s emotion. Based on this relationship, some researchers have studied on music mood detection, where they manually select a representative segment of music and classify its mood. Although such approaches show good performance on music mood classification, it's difficult to apply them to new music due to the manual intervention. Moreover, it is more difficult to detect music mood because the mood usually varies with time. To cope with these problems, this paper presents an automatic method to classify the music mood. First, a whole music is segmented into several groups that have similar characteristics by structural information. Then, the mood of each segments is detected, where each individual's preference on mood is modelled by regression based on Thayer's two-dimensional mood model. Experimental results show that the proposed method achieves 80% or higher accuracy.

• Korean Journal of Biological Psychiatry
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• v.20 no.3
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• pp.97-103
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• 2013

Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of Soonchunhyang University Hospital, completed the brain magnetic resonance imaging scan and cognitive test for dementia. Ten patients were treated with AAP for the improvement of behavioral and psychological symptoms of dementia (BPSD) and the other 21patients were not. Using T1 weighted and Fluid Attenuated Inversion Recovery (FLAIR) images of brain, areas of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and white matter hyperintensities (WMH) have been segmented and measured. Multivariate logistic regression models were applied for assessment of association between AAP use and the GM/WM ratio, the WMH/whole brain (GM + WM + CSF) ratio. Results There was a significant association between AAP use and the GM/WM ratio (odds ratio, OR = 1.18, 95% confidence interval, CI 1.01-1.38, p = 0.037), while there was no association between AAP use and the WMH/whole brain ratio (OR = 0.82, 95% CI 0.27-2.48, p = 0.73). Conclusions The GM/WM ratio could be a biological marker for the prediction of AAP use and BPSD in patients with dementia. It was more likely to increase as dementia progress since atrophy of WM was more prominent than that of GM over aging.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1138-1148
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• 2010

This study examines the characteristics of the online child-rearing community launched by the voluntary motivations of consumers, and the effects of those characteristics on community loyalty and the intentions to buy baby wear via community sites. The study was implemented by a descriptive survey method using an online questionnaire. The sample consisted of 212 members of online child-rearing communities. The data were analyzed by frequency, factor analysis, and regression analysis. Results are as follows. 1) It was found that there were four major factors of online child-rearing community characteristics, such as attachment/pleasure, practical/economy, interaction, and information. 2) All four factors had significant effects on community loyalty. 3) The factor attachment/pleasure had no significant effects on intentions to buy baby wear, but practical/economy, interaction and information had effects upon those intentions. 4) Loyalty to the online child-rearing community had significant effects on the intentions of community members to buy baby wear via the community site. In addition, online child-rearing community members are interested in information regarding baby wear as well as its purchase; this is why baby wear makers should perform cost efficient consumer group segmentation in a timely manner. In addition, it will be effective for their marketing activities to target such consumer groups as segmented.

• Fashion & Textile Research Journal
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• v.15 no.2
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• pp.219-230
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• 2013

To generate future profits, luxury brands need to recognize and understand customers as individually important and analyze the impact factors that improve specific customer equity. With the growing recognition that customer equity is a key strategic asset, this study empirically investigates the effect of customer equity drivers on customer loyalty based on the study of Vogel et al.(2008) which expanded the Rust et al.(2000)'s study on customer equity. We empirically examine if the customer equity drivers have a different impact on customer loyalty. This study hypothesizes that the relative effect of customer equity drivers would be different depending on the purchasing behavior of consumers and examines the effects of them on the relationship of the drivers of customer equity and customer loyalty. We use stepwise multiple regression analysis to empirically test the relationship of value equity, brand equity, and relationship equity and customer loyalty. Relationship equity influences customer loyalty more strongly than value equity and brand equity. Customers seem to build loyalty based on the careful assessment of all costumer equity drivers (value equity, brand equity, and relationship equity). In addition, their relative impact is different depending on the purchasing behavior of consumers. A company cannot maintain all customer equity drivers at a high level with limited marketing resources; therefore, marketing investment for all customer equity drivers need to be allocated differentially depending on the purchasing behavior of consumers.

• The Korean Journal of Community Living Science
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• v.21 no.4
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• pp.619-631
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• 2010

The purpose of this study is to segment and examine urban farmers behavior by applying a two-step cluster analysis and multi-nominal logit model. The data were collected by a telephone survey with two-staged stratified random sampling in the cities around the country for the purpose of acquiring representative data. Respondents were asked to describe their awareness of urban agriculture, their agricultural activity, and sociodemographic characteristics. Among 2,000 cases, 381 cases(19.1%) which were of participants in urban agriculture were analysed in SPSS. From the findings, 27.3% of respondents had heard the word 'urban agriculture', and 25.5% of them regarded themselves as urban farmers. Four different clusters were derived from two-step clusters based on motive, place, companion, area and hours. They were 'Large scale hobby farming(cluster 1)', ‘Weekend farm/ hobby farming(cluster 2)', 'Land/ Self-supporting farming(cluster 3)', and 'Small scale hobby farming(cluster 4)'. The result of multinomial logistic regression showed that there were significant differences among these four segmented groups in terms of age, city size and housing type. In other words, there is quite a possibility that urbanites select different urban farming types according to their socio-demographic profiles. Therefore, the urbanite profiles can be used as the basis for promoting policy of several urban agriculture types. According to the result, policy directions for facilitating urban agriculture were presented.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.44 no.1
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• pp.55-58
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• 1999

Plant water status during growth is directly and indirectly associated with seed yield. The objective of the present study was to determine the genotypic differences in leaf water characteristics at an early growth stage of soybean [Glycine max (L.) Merrill] plants through the pressure-bomb technique. Measurements of water potential as well as relative water content (RWC) were made at the third leaf from the fully-expanded top leaf of eight different soybean genotypes grown for 31 to 35 days after field emergence. On the basis of the modified exponential model, pressure-volume (PV) curves were fitted well ($R^2$=0.92＊＊ to 0.99＊＊ for the curvi-linear region and R=0.67＊＊ to 0.96＊＊ for the linear region), indicating that a segmented model using PROC NLIN of SAS could be used effectively to estimate the leaf water characteristics. The regression analysis for the pressure-volume (PV) curve revealed genotypic variation in the solute potential at saturation (Ψ$_{s,sat}$ :-10.7 to -14.8 bar), solute potential at incipient plasmolysis (Ψ$_{s,ip}$ : -14.3 to -18.3 bar), RWC at incipient plasmolysis (RW $C_{ip}$ : 83.3 to 91.7%), high integrated turgor pressure from saturation to plasmolysis ( $_1$$^{b}$ : 0.39 to 0.81), and maximum volumetric modulus of elasticity ($\varepsilon$$_{max}$ : 150 to 445 bar).).