• 한국의류학회지
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• 제29권1호
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• pp.124-135
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• 2005

This study was intended to compare and analyze the clothing purchasing behavior of Chinese career women in Benjing, Shanghai, Shenzhen, and Changchun, and to provide useful information for establishment of marketing strategies for China. The subjects were 662 career women in their 20's or 30's living in Benjing, Shanghai, Shenzhen, and Changchun. Data was collected through the questionnaire based on the theoretical and previous studies from April 9, 2003 to April 31, 2003. A total of 662 questionnaires was analyzed by frequency, percentage, ANOVA, Duncan's multiple range test, and ${\chi}^2-test$. The results of this study were as follows: 1. Demographic variables such as an age, marriage, academic back ground, residential city, monthly income, and monthly expenditure on clothing were significantly different among the career women in Benjing, Shanghai, Shenzhen, and Changchun. 2. Clothing purchasing behavior variables such as clothing purchasing motive, using informants, clothing selection standards, store selection standards, and satisfaction after purchasing clothes were significantly different among the career women in Benjing, Shanghai, Shenzhen, and Changchun.

• 대한가정학회지
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• 제43권4호
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• pp.49-63
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• 2005

The Purposes of this study were to segment Chinese consumers by clothing Purchase motive, and then to analyze and compare the clothing purchasing behavior among the segmented groups. The subjects were 655 career women of middle and high class in their 20's and 30's living in Benjing, Shanghai, Shenzhen, and Changchun. A total of 655 questionnaires were analyzed by using frequency, mean, factor analysis, ANOVA, Duncan's multiple range test, cluster analysis, and X^2 _ test. The results were as follows: 1. Chinese consumers were segmented into clothing high-involvement group, fashion pursuing group, practicality pursuing group, and characterless group. 2. The clothing purchase behavior variables such as purchasing motive, using informants, clothing selection standards, store selection standards, purchasing place, satisfaction after purchasing clothes, price of purchase, shopping time, shopping companion, and paying method were significantly different among the 4 segmented groups. 3. The demographic variables such as a city, marriage, total monthly income, and average monthly expenditure on clothing were significantly different among the 4 segmented groups.