• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.315-327
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• 1995

The objective of this study were to classify the contents of clothing purchase motives and to examine the differences in post-purchase dissatisfaction and satisfaction of clothing according to the clothing purchase motives. Questionnaire was comprised of 36 Likert type items of clothing purchase motive measure, 15 items of post-purchase clothing dissatisfaction measure, and 1 item of satisfaction measures. Samples were 492 women in Incheon, Korean ; 279 were college students and 213 were housewives. The data were analyzed using factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, and χ2-test. The results of the study were the followings : 1. Subjects perceived 'becomingness' to be the most important motive, 'attractiveness of color' the second important, and 'salesperson's recommendation' the least. 2. 6 factors of clothing purchase motives were derived by factor analysis : F.1 'clothing utility and deficiency' ; F.2 'clothing quality' ; F.3 'financial frugality'. 3. Subjects were classified into the three motive groups by cluster analysis of the 6 factors : G.1 'the clothing appearance and others' influence' ; G.2 'the clothing quality and deficiency' ; G.3 'the motiveless'. 4. More college women were distributed in clothing appearance and others' influence group than housewives, while more housewives were distributed in clothing quality and deficiency group. 5. The clothing appearance and others' influence group expressed the highest post-purchase dissatisfaction and the lowest post-purchase satisfaction. The clothing quality and deficiency group expressed the highest post-purchase satisfaction, and the motiveless group expressed the lowest post-purchase dissatisfaction.

• Journal of the Korean Society of Costume
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• v.31
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• pp.119-130
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• 1997

The purpose of this study is to examine differences between real somatotypes and cog-nitive somatotypes by considering the degree of satisfaction of body parts. The subjects were 250 middle-aged women from 40-54. Data was collected through anthropometry and surveys. Data was analyzed by correlation analysis anova duncan multiple range test factor analysis regression analysis crosstabulation analysis. The results were as follows: 1. Middle-aged women tend to prefer having a slim truck long and slim limbs and their hope was to be tall in height and light in weight slim at the waist and abdomen. 2. The consciousness about thickness was in-tensified more than that about length of the body. 3. The slim somatotype group were more satisfied with their body than those of obese somatotype group. 4. The average R hrer Index of middle-aged women is 1.55 and the slim somatotype group is 1.33 and the standard somatotype group is 1.53 obese somatotype group is 1.82. Age has much influence on the body change of middle-aged women. Especially 45-49 years old the slim body type declined heavily. 5. When analyzing the elements of body sat-isfaction the biggest elements are in the sub-ject of girth related to the expansion of trunk. Therefore trunk girth has more influence on body satisfaction than height and limbs. So the obession of trunk girth is the most important factor in body satisfaction. 6. Most middle-aged women although not judged to be obese by measurements believed themselves to be obese.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.1
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• pp.3-10
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• 1993

This study intends to provide a beneficial foundation which can aid our understanding of how a clothing consumer group can be classified according to the clothing buying motives, and what differences are there about the importances store image attribute among them and how consumer's preferences to the store image are shown differently among them and ultimately, some concrete data which can be useful in establishing efficient store image strategies for clothing stores. 484 subjects were gathered through convenience sampling method and, for data analysis, cronbach' ${\alpha}$, frequency, percentage, mean, ${\chi}^2$-text, t-test, ANOVA, Duncan Multiple Range Test, Factor Analysis, Cluster Analysis were conducted. the results are as follows; 1. three kind of factors in the clothing buying motives were determined for analysis of consumers group and by which it was revealed as to be significant for us to classify them three subdivisions; those of fashion pursuit group, self display group, financial utilitarian group. 2. Importance on store image attribute was revealed that Ewha students regarded quality, price, more important factors than others. 3. Store image preferences show significantly when concerned with quality, price, fashion, impression and age of store personnel, convenience for exchanging and returning goods, credit, delivery and repair, mailing of catalogue and discount coupon, bightness of store among consumer groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.11
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• pp.1162-1173
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• 2012

This study classifies conspicuous consumption groups and the difference of fashion involvement and selfsatisfaction by each group. It also examined the effect of fashion involvement on self-satisfaction by each group. A questionnaire method was used for the study method and the subjects of the study were females in their 20s-50s. A total of 580 sets of questionnaires were distributed and 554 sets were used for the final analysis. Data were analyzed by factor analysis, t-test, ANOVA, factor analysis, cluster analysis, Cronbach's alpha coefficients, and multiple regression analysis. The results of this study were as follows: First, this study classified 4 groups of active conspicuous consumption, the group of passive conspicuous consumption, the group of syntonic conspicuous consumption and the group pursuing individuality & frugal consumption. Second, as a result of the examination of the impact of fashion involvement for each group with a propensity for conspicuous consumption on their self-satisfaction, it was found that the sex appeal of fashion involvement had no significant impact on the economic satisfaction in the group of active conspicuous consumption, and had no significant impact on all elements of self-satisfaction in the group of passive conspicuous consumption. It was also found that social symbolism had a negative impact on satisfaction with looks in the group of syntonic conspicuous consumption, and the physical complementation and directions of looks had a negative impact on satisfaction with living, the social symbolism on satisfaction with looks and the syntone on satisfaction with looks in the group of pursuing individuality & frugal consumption.

• 한국지구물리탐사학회:학술대회논문집
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• 2006.06a
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• pp.41-50
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• 2006

The crustal structure of Korean Peninsula have been investigated by analyzing group velocity dispersion data of surface wave. Cross.correlation of seismic background motions (Campillo and Paul, 2003; Shapiro et al., 2005) has been applied to estimate the short.period Rayleigh. and Love.wave group velocity dispersion characteristics of the region. Standard processing procedures were applied to the cross.correlation, except that signal whitening was used in place of one.bit sampling equalize power in signals from different times. Multiple.filter analysis was used to extract the group velocities from the estimate Green's functions, which were then use to image the spatially varying dispersion at periods between 0.5 and 20 seconds. The tomographic inversion technique used inverted all periods simultaneously to provide a smooth dispersion curve as a function of period in addition to the usual smooth spatial image for a given period. The Gyeongsang Basin in the southeastern part of the peninsula is clearly resolved with lower group velocities.

• Korean Journal of Human Ecology
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• v.22 no.1
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• pp.99-116
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• 2013

The purpose of this research is to explore the levels of luxury-frugality consumption of the female consumers and classify their types on luxury-frugality consumption behaviors. Total of 479 on-line questionnaires were surveyed nationwide for this research in February, 2012. Statistical analysis was achieved by using t-test, one-way ANOVA, Duncan's multiple range test, ${\chi}^2$, and Ward' hierarchical cluster analysis with a total of 479 questionnaires. The research results are summarized as follows: First, the overall luxury-frugality consumption average mark of female consumers was 2.44. Second, all surveyed female consumers were classified into four types based on the means scores of two dimension luxury-frugality consumption behaviors. A total 26.51% of female consumers belonged to Type 1 (named as luxury consumption group) where females scored high points on two dimension luxury consumption behaviors. Type 2 (named as excessive consumption group) occupied 32.78% and this group scored low on the luxurious consumption but high on the overconsumption. Type 3 (named as prefer prestige group) occupied 28.39% and this group scored low on the overconsumption but high on the luxurious consumption. Type 4 (named as frugal consumption group) had 12.32% of females whose scores of two dimension luxury-frugality consumption behaviors were low.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.950-961
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• 2004

This study was attempted to examine consumers＇ pursuing benefits and satisfaction at outlet store, to analyze the differences of pursuing benefits and satisfaction at outlet store among the consumer groups segmented by the pursuing benefits, and to provide useful information for establishment of marketing strategies. The subjects were 500 female consumers experienced in purchasing clothes at outlet non. For analysis of questionnaires, $\chi$$^2$-test, ANOVA, cluster analysis, factor analysis, and Duncan＇s multiple range test were performed. The results were as follows: 1. Pursuing benefits at outlet store were composed of 6 factors: store＇s atmosphere, variety of products and brands, service and reputation of store, product quality, location＇s convenience, and price. Consumers were segmented into three groups by above 6 factors: product pursuing group, store convenience pursuing group, and price pursuing group. 2. Satisfaction at outlet store was composed of 5 factors: product, atmosphere, service and reputation of store, location convenience, and price. Satisfaction at outlet store such as service and reputation of store, location＇s convenience, and price were significantly different among the segmented groups. Product pursuing group was most satisfied with service and reputation of store, store convenience pursuing group was most satisfied with location＇s convenience and price, and price pursuing group was most satisfied with price. 3. The demographic variables such as an age, marriage, occupation, academic background, and total income were significantly different among the segmented groups.

• Korean Journal of Clinical Laboratory Science
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• v.47 no.1
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• pp.28-34
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• 2015

Pulse wave velocity (PWV) is used to non-invasively estimate the severity of arteriosclerosis by measuring arterial stiffness. Increased arterial stiffness measured by PWV stands for progressive arteriosclerosis and is caused by atherosclerotic risk factors. This study is focused on how brachial-ankle pulse wave velocity (baPWV) is related to the leading risk factors for arteriosclerosis or atherosclerosis. Subjects were 114, 69 males and 45 females who are in 60's and had baPWV test for acute stroke. The results are as follows: the group with increased arterial stiffness showed significant increase in HbA1c, total cholesterol, BSBP (brachial artery systolic blood pressure), BDBP (brachial artery diastolic blood pressure), CSBP (central artery systolic blood pressure), CDBP (central artery diastolic blood pressure), augmentation index (AIx) and diabetes mellitus. Correlation analysis between baPWV and atherosclerotic risk factor showed significant relationship in age, HbA1c, LDL cholesterol, BSBP, BDBP, CSBP, CDBP and augmentation index. baPWV was independently related to age and BSBP in multiple linear regression analysis. The group with increased arterial stiffness was independently related to BDBP in multiple logistic regression analysis. This study might be meaningful in evaluating the relationship between arterial stiffness and atherosclerotic risk factor in a new way, and be helped to make various studies for cardiovascular disease.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.2
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• pp.225-234
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• 2018

In this paper, we consider a problem of partitioning a search area into smaller rectangular regions, so that multiple platforms can conduct search operations independently without requiring unnecessary coordination among themselves. The search area consists of cells where each cell has some prior information regarding the probability of target existence. The detection probability in particular cell is evaluated by multiplying the observation probability of the platform and the target existence probability in that cell. The total detection probability within the search area is defined as the cumulative detection probability for each cell. However, since this search area partitioning problem is NP-Hard, we decompose the problem into three sequential phases to solve this computationally intractable problem. Additionally, we discuss a special case of this problem, which can provide an optimal analytic solution. We also examine the performance of the proposed approach by comparing our results with the optimal analytic solution.

• Industrial Engineering and Management Systems
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• v.8 no.1
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• pp.47-53
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• 2009

We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.