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
한희정 (계명대학교)
저널정보
복식문화학회 복식문화연구 복식문화연구 제24권 제2호
발행연도
2016.4
수록면
218 - 232 (15page)
DOI
10.7741/rjcc.2016.24.2.218

이용수

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

초록· 키워드

오류제보하기
The purpose of this study was to investigate the differences in various fashion lifestyle segments’ perceived benefits and design preferences for outdoor clothing to improve the development of outdoor clothing. Data were collected by questionnaire from 600 subjects aged 30 years and over with experience purchasing outdoor clothing in the past year. Frequency analysis, factor analysis, cluster analysis, reliability analysis, ANOVA, and chi-square analysis were used for the data analysis. The results of this study were as follows. Four segments were identified based on fashion lifestyle: manifoldly conscious, sensation conscious, practicality conscious, and brand conscious. Perceived outdoor clothing benefits generated three dimensions, including premium brand, practicality, and functionality, and preferred image produced two factors, tasteful/refined and comfortable/casual. Significant differences were found in the purpose of purchasing outdoor clothing, perceived benefit, and image and t-shirt pattern design preference among the segments. The manifoldly conscious group had a higher tendency to pursue various benefits and images of outdoor clothing and to prefer t-shirt textile designs with foulards and stripes. The sensation conscious group considered fashion and individuality in daily life but not in outdoor clothing. The practicality conscious group showed a preference for simple and casual styles with functionality and foulard patterns for t-shirts. The brand conscious group tended to prefer a striking design to functionality. This study is expected to be used as preliminary data for merchandising planning of outdoor clothing.

목차

등록된 정보가 없습니다.

참고문헌 (27)

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