• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1138-1152
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• 2010

The purposes of this study are to segment women consumers on the basis of clothing shopping orientation and to investigate clothing purchasing behaviors of each segmented group by age variable for development of effective fashion marketing strategies to meet very changeable modern consumers' needs. The research methodology is survey and subjects were 650 women aged from 20s to 60s. The questionnaire consist of measurement items for clothing shopping orientation, clothing purchasing behaviors and subjects' demographic attributions. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, $x^2$ test, ANOVA and Duncan's multiple range test, using SPSS program. The results are as follows. First, 5 factors were emerged on clothing shopping orientation. Second, women consumers are segmented into 4 types(conspicuous, convenient, pleasurable, and unconcerned type) by clothing shopping orientation. Third, each consumer type divided by age variable showed some important differences on demographic characteristics and various clothing purchasing behaviors. Therefore, the results of this study support that clothing shopping orientation can be useful as one of the effective differentiated variables to segment women consumer market and age variable has important mediate effects on the differences of clothing purchasing behaviors by clothing shopping orientation type.

• The Research Journal of the Costume Culture
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• v.11 no.2
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• pp.320-330
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• 2003

The purpose of this study is to investigate a clothing use by clothing buying tendencies. Data were obtained from questionnaires filled out by 183 housewives in Daegu, and analyzed by utilizing Factor Analysis, frequency, correlation and ANOVA test. The results were as follows: 1. Four factors of clothing buying tendencies were identified as the pursuit of fashion, dressing for others, practicality, and dressing for self, 2. There was differences in clothing buying tendencies based on educational background and occupation. The factor of the pursuit of fashion was more important f3r college graduate housewives. It was also more important for housewives whose husband had professional jobs in comparison to their non professional counterparts. 3. The factors concerning the pursuit of fashion and dressing for others were more important fur those whose monthly household incomes ranged from 3,000,0000 to 4,000,000 won in comparison to those whose incomes were lower. 4. There was a negative correlation with the factor of dressing for others and the number of children. 5. The housewives had a higher clothing expenditure were more aware of the pursuit of fashion and dressing for others .6. The data concerning the number and types of various clothing owned showed single items were the most owned(more than 8 items) and altered Hanboks were the least owned(less than 1).

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.3
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• pp.638-649
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• 2001

The purpose of the present study was to investigate the differences in clothing purchase behaviors among the patrons of Dongdaemun market grouped by clothing shopping orientation. A self-administered questionnaire survey was conducted among 600 men and women from ages 15-29 from August 9 to September 12, 1999; 548 were used for the data analysis. Based on the clothing buying orientation, the consumers of Dongdaemun market were divided into four groups: plan circumspected, economy-oriented, fashion-oriented and shopping-oriented. These groups showed significant differences in the selected criteria used for clothing purchase, the amount of money and time spent for shopping. The groups were also significantly different in the usage rate and perceived of the market, and the satisfaction levels with the shopping environments and services of the Dongdaemun Market. With regards to the satisfaction levels, they were showed significant different in the diversity and fashion statement of products, business hours, and advertisement/sales promotion in order. The fashion-oriented group was the highest satisfaction level about the four variables among groups.

• The Research Journal of the Costume Culture
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• v.14 no.3 s.62
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• pp.366-380
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• 2006

The purpose of this study was to examine the effect of shopping orientations on clothing purchasing behavior according to residence. The data was obtained from questionnaires filled out by 530 females living in Seoul and Jecheon. For data analysis, factor analysis, ANOVA, t-test, Cronbach's $\alpha$, Duncan's multiple range test and cluster analysis were used. For shopping orientation, five factors of orientation were found and labeled as hedonism, brand and store loyalty, conformity, economy and rationality factor. Based on five shopping orientation factors, women were classified into five clusters(self-centered and rational, recreational, economy and shopping low involvement, economical and conformative cluster). Each cluster showed significantly different clothing purchasing behaviors (problem recognition, information search and evaluative criteria) and had different demographic variables(age, income, marital status and school career). Finally, residence and shopping orientations have influenced various clothing purchasing behavior. In conclusion, residence was the important factor which influenced on shopping orientation and clothing purchasing behavior.

• The Research Journal of the Costume Culture
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• v.10 no.6
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• pp.666-679
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• 2002

The purpose of the present study was to analyze clothing shopping orientation and impulsive purchase behavior for clothing by using adolescents. Data were collected through a self-administered questionnaire survey from 680 middle and high school students living in Gangrung area from July 2 to July 6, 2001; 582 were used for the data analysis. Data were analyzed by chi-square analysis, 1-test, ANOVA, descriptive statistics, cluster analysis and Duncan's multiple range test. The results showed significant differences in clothing shopping orientation and in the impulsive shopping factors for clothing among the groups determined by demographic characteristics and, in the impulsive shopping factors for clothing among groups determined by the shopping orientation. Female students and high school students showed higher tendencies of recent experiences of impulsive buying for clothing. More thin half of the subjects tended to spend less than 30,000 won and to buy two items each time when purchasing clothing impulsively. Most students used discount shops or specialized stores fur impulsive purchase.

• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.65-74
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• 2006

The purpose of this study was to identify the relationship between shopping value and clothing shopping orientation according to clothing involvement. The study subjdects comprised 298 females living in Seoul. The data were analyzed with factor analysis, correlation, t-test, cluster analysis and regression analysis. Clothing involvement, shopping value and clothing shopping orientation consisted of various factors. Clothing involvement influenced various shopping values and orientations. According to three clothing involvement factors, women were classified into two clusters(: high and low involvement groups). In the two groups, there was an intimate relationship between shopping value and shopping orientation, while there were significant differences in shopping value, clothing shopping orientation, and clothing purchasing behavior. In addition, shopping value have influenced shopping orientations and clothing purchasing behavior, while shopping orientations influenced clothing purchasing behavior. As a result, the successful marketer should know the consumer's clothing involvement and shopping value as well as clothing shopping orientation.

• Journal of the Korean Society of Costume
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• v.47
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• pp.47-60
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• 1999

The purpose of this study was to investigate relationship between individualism collectivism clothing behaviors and clothing purchasing motives among high school students and the difference of individualism collectivism clothing behaviors and clothing purchasing motives according to demographic variables. And we also took a close look at how they turned out in their actual clothes-buying. The questionaire survey was used toward 55 high school students in seoul region during October 1998. SAS package program were used to analyze the gatherd data. Frequency Percentage Factor Analysis Duncan test Correlation Analysis and so on. The conclusion based on the results are as follow; 1. The analysis of correlations among individualism collectivism clothing behaviors and motivations showed that there are significant correlations among them 2. There are significant differences in individualism collectivism clothing behaviors and clothing purchasing motives according to demographic variables. 3. There also are significant differences in what motivates them to buy clothes and what they actually purchased(=their motives to buy clothes and their actual purchasing).

• Proceedings of the Korea Society of Costume Conference
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• 2005.05a
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• pp.78-78
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• 2005

• Journal of the Korean Home Economics Association
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• v.40 no.8
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• pp.123-135
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• 2002

The purpose of this study is to examine the relationship between shopping orientation and purchasing satisfaction of apparels. To achieve the purpose, this study was carried out by means of questionnaires with female consumers aged from 20s to 50s in Daegu. The data were analysed by the frequency analysis, percentage, reliability test, factor analysis, Pearson's correlation analysis, cluster analysis, one-way ANOVA and Duncan's multiple range analysis. The statistical package for social science 9.0 for Window was used for the statistical processing of the data. The result of this study is summarized as follows. 1. To examine factors which construct female consumers' shopping orientation for apparels, a factor analysis was done, therefore, which obtained 6 factors. Also A factor analysis was done to examine the motivative factors of satisfaction with purchased apparels, 6 factors were obtained. 2. Based on the average score of shopping-orientation factors for apparels, a cluster analysis was done and it was classified into 3 clusters. There were differences in purchasing satisfaction of purchased apparels between the 3 clusters. 3. The differences in variety, shopping convenience, dignity, brand & preference, and convenient selection between the clusters were entirely p<0.001 which were very significant. There were no differences in the quality and service factors between the brand-/practicality-oriented cluster and entertainment-oriented cluster. With other factors, entertainment-oriented cluster was most satisfied than brand-/ practicality oriented cluster. But, self-reliance-oriented cluster was lowest purchasing satisfaction of apparels.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.637-648
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• 2005

The purpose of this study was to investigate the differences among internet and TV home-shopping perceived risk segments in regard to clothing shopping orientations and purchase intention. The subjects used for the study were 290 female consumers aged from 20 to 40 living in Seoul. The study used factor analysis, cluster analysis, ANOVA, Duncan test, and $\chi^2-test$. The results showed that the Internet and TV home-shopping perceived risks consisted of 9 factors: Products uncertainty risk, Internet shopping mall trust risk, account-related risk, delivery risk, social risk, size risk, exchange/return risk, TV watching-related risk, and price risk. The cluster analysis showed that there were five groups segmented: Size risk/TV watching risk group, Social risk/Internet trust risk group, Return risk/TV watching low-risk group, Delivery risk/product trust group, and Product risk group. The clothing shopping orientations were classified by 5 factors: Planned shopping, pleasure shopping, sales/fashion oriented shopping, time saving shopping, and credit card preference/in-store oriented shopping. The results showed that the five segmented perceived risk groups differed in regard to clothing shopping orientations, purchase intention, and demographics. Further group differences and implications of the results were discussed.