• 한국의류산업학회지
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• 제10권3호
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• pp.307-315
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• 2008

The purpose of this study was to examine the influence of purchase behavior of Cosmeceuticals according to appearance concern. The subjects of this study were 709 women aged for 20 to 50 living in Daegu. The questionnaires were conveniently sampled from December 20 to 31, 2007. The SPSS 12.0 package was use for data analysis which included Frequency analysis, Factor analysis, Cronbach's a and Analysis Structural Equation Modeling by use of Amos 5.0. The results of this study were as follows; Appearance concern had influence on usage behavior of cosmeceuticals and usage satisfaction of cosmeceuticals, but appearance concern had not influence on usage preference of cosmeceuticals. Usage behavior of cosmeceuticals had influence on usage satisfaction of cosmeceuticals and usage preference of cosmeceuticals. And usage satisfaction of cosmeceuticals had influence on usage preference of cosmeceuticals.

• 대한가정학회지
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• 제47권4호
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• pp.73-81
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• 2009

• 대한화장품학회지
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• 제38권4호
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• pp.339-356
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• 2012

기능성화장품의 중요성이 부각되고 있는 현 시점에서 우리나라 여대생들의 기능성화장품에 대한 사용실태 및 구매행동에 관하여 분석하였다. 시장 세분화를 통하여 더 많은 고객의 니즈를 충족시키고 기능성화장품의 지속적인 발전방안을 제시하고자 한다. 본 연구의 대상은 서울의 4년제 여자대학교 2곳을 선정하여 340명에게 설문지를 배포하고 300명의 실증자료를 얻어 SPSS WIN 15.0프로그램을 이용하여 분석하였다. 대다수의 여대생들이 기능성화장품을 사용하고 있는 것으로 나타났으며, 피부고민 해결방안으로 주로 기능성화장품을 사용하고 있는 것으로 나타났다. 기능성화장품의 구매 장소로는 백화점이 가장 많았고, 구매 시 고려사항으로는 제품의 효능 및 효과가 가장 많았다. 기능성화장품 중에는 자외선차단제를 가장 많이 사용하는 것으로 나타났다.

• 한국의류학회지
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• 제24권4호
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• pp.560-570
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• 2000

The purposes of this study were to segment the cosmeceuticals market based on consumer usage behavior and to develop a profile of each segment using appearance-related variables, purchase attributes, purchase behavior and demographics. A total of 518 responses collected from a questionnaire survey to female consumers was analyzed. Cluster analysis on usage behavior of cosmeceutical products identified three groups including: Anti-aging/Whitening/Slimming product users (22% ); Pore-control product users(20%); and Minimum users(57%). MANOVA, ANOVA and Chi-square analysis revealed significant differences among the three groups on 2 appearance-related variables, 3 purchase attribute factors, 4 purchase behaviors, and 2 demographic characteristics. Based on the results, the study developed a profile of each segment and provided marketing implications.