A Study on Relationships between Fashion Style Adoption and Selection Criteria and Use of Fashion Information Sources in Clothing-Purchase

의복의 유행 스타일 수용과 선택기준 및 유행 정보원의 활용과의 관계연구

The purpose of this study was to investigate the relationships between fashion style adoption and consumers' demographic characteristics, selection criteria and use of fashion information sources respectively and find out how their concerned variables influenced high fashion style adoption. For this study, the questionnaire was administered to a sample of 554 female adults in Kwangju. frequency distribution, Mean, Pearson's Correlation, Analysis of variance and Path Analysis were used fer the statistical analysis. The results obtained were as followers. 1) Level of fashion style adoption showed a normal distribution like a wave. 2) Consumer's demographic characteristics variables, such as age, educational level and income significantly associated with fashion style adoption. Younger consumers adopted tile high fashion style 41)an more aged consumers. while consumers in higher educational and income level adopted high fashion style than consumers in lower. 3) Among individuality, conformity, practicality and economy in selection criterias, only individually and practicality associated with fastion style adoption in clothing purchase. In the case of the high fashion style adoption, purchasing with individuality was increased, while purchasing with practicality was decreased. 4) The use of marketer dominated sources in fashion information sources significantlyassociated with fashion style adoption. In the case of high fashion style adoption, the use of marketer dominated and neutral information sources was higher. 5) The use of marketer dominated information sources had a main effect on high fashion style adoption in clothing purchase. Especially in the group composed of college students and occupational women, individuality and praticality as selection criterias came to be important effects. While in the group composed of housewives and non-occupational single women, age, educational level and income came to be important effects.