메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
이수인 (덕성여자대학교 의상디자인) 박혜정 (마케팅 엣지, 코리아) 정혜영 (덕성여자대학교 의상디자인)
저널정보
한국의류학회 한국의류학회지 한국의류학회지 제28권 제1호
발행연도
2004.1
수록면
54 - 65 (12page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study was to identify the impact of fashion life styles of TV-home shoppers on their fashion goods purchasings. This study analyzed TV home shoppers grouped into clusters based on their fashion life styles and identified their product-related evaluative criteria and purchasing intention according to clusters. This study also analyzed whether there are differences in clusters according to their socio-economic status. Utilizing the convenient sampling method, the sample of the study is composed of women aged over 20 living in the Seoul metropolitan area. Of 380 distributed, 196 useful questionnaires were returned. The data were analyzed using factor analysis, cluster analysis, $\chi$$^2$analysis, and One-way ANOVA. The results are as follows: Regarding fashion life styles, 5 factors, 1) fashion leadership, 2) shopping-involvement, 3) fashion image, 4) economics and 5) anti-fashion attitude were obtained. Based on the factor scores, 4 clusters, 1) aesthetic-orientation, 2) economics and fashion innovation-orientation, 3) conspicuous consumption-orientation and 4) anti-fashion attitude, were identified. Regarding the product-related evaluative criteria, there were significant differences in price, fashionability, design, size, brand reliability, refund policy, and appearances when worn according to clusters. There were also significant differences in purchasing intention when purchasing low price products and fashion items such as under wears, night and home wears, suits, leather and fur clothes, purse and bags, and shoes. Regarding the socio-econmic status, age, marital status, and occupation were significantly different according to clusters.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0