• Journal of Fashion Business
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• v.9 no.5
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• pp.152-167
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• 2005

This study aims to aid hair fashion design for using hair style change by knowing the hair fashion images' characteristics. To accomplish this purpose, posed a questions to capital area university women students from June 3. 2005. to June 23. 2005. The hair fashion images' characteristics are; (1) avant-garde - unique style of every categories, (2) ethnic - korean style of center part, no volume, down chignon, inactivated texture, (3) romantic pretty - girl like cute style of long, wide wave, wide braid, center part or bang, activated texture, using pin or ribon, (4) elegance - graceful style of down point up style having wave, volume and activated texture, (5) sexy - sexual attractive style of long & wide wave or straight with high volume, activated texture(wet feeling hair styles also possible), (6) sophisticate - refined urban style of inactivated textured graduation and layered straight hair, (7) natural - inartificial style of no volume, inactivated long straight and binding hair, (8) sporty - activated style of activated and inactivated textured short hair.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.465-481
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• 2014

This study is about an apparel industry in Guro-Gasan where is growing up to the one of the apparel industry cluster beyond an agglomeration in Seoul. The purpose of this study is twofold: (1) to define industrial functions and roles of Guro-Gasan in a value chain of the apparel industry; and (2) to understand whether an industrial cluster is built on the local networks. This study reviewed formation and transitions of its local industries and industrial size, characteristics, spatial distribution and spatial properties using GIS analysis and field surveys. Through in-depth interviews, it analyzed the production system and spatial dispersion of the value chain to understand its functions and roles.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.12
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• pp.1956-1964
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• 2009

Understanding ethical fashion consumers in Korea is essential for the expansion of the ethical fashion market. This study analyzed ethical consumers in Korea in an examination of the factors that influence ethical purchase behavior and attitudes. The differences between ethical fashion consumers and non-ethical fashion consumers were investigated using eight variables (perceived consumer effectiveness (PCE), self-direction, benevolence, universalism, social responsibility, perceived behavioral control, face saving, and group conformity). Data were collected by means of a questionnaire through both on-line and off-line surveys from April 20 to June 7, 2009. Only the respondents knowledgeable of ethical products or ethical consumption were asked to complete the questionnaire. A total of 494 samples were used for analyses. Using independent samples t-test, the differences in each variable between two groups were examined. There were significant differences between ethical fashion consumers and non-ethical fashion consumers in attitudes toward ethical consumption behavior, behavioral intention, PCE, self-direction, universalism, social responsibility, and face saving variables. The factors influencing attitude and behavior intention were investigated by step-wise regression analyses. For ethical fashion consumers, the attitudes to ethical consumption behavior were largely influenced by PCE and benevolence. Social responsibility was the most predictable variable in guiding behavioral intention. Behavioral intention was also influenced by benevolence and attitude. Group conformity was found to be negatively correlated with behavioral intention. The findings of this study provide significant guidance for marketers of ethical fashion products. This study is the start of ethical fashion consumer research in Korea and can develop into variable subfields in the future.

• Fashion Information and Technology
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• v.8
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• pp.2-10
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• 2011

• Fashion Information and Technology
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• v.3
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• pp.75-83
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• 2006

• Fashion Information and Technology
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• v.9
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• pp.2-9
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• 2012

• Fashion Information and Technology
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• v.11
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• pp.2-10
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• 2014

• Fashion Information and Technology
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• v.6
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• pp.22-26
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• 2009

• Fashion Information and Technology
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• v.6
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• pp.27-33
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• 2009

• Fashion Information and Technology
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• v.12
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• pp.37-45
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• 2015