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
저널정보
한국패션비즈니스학회 패션 비즈니스 패션 비즈니스 제10권 제6호
발행연도
2006.1
수록면
110 - 121 (12page)

이용수

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

초록· 키워드

오류제보하기
The purpose of this study is to analyze the various types and areas of recent collaborations in fashion industry and to find the utility value of collaboration. Seventy seven cases of fashion collaboration marketing strategies were selected from officially announced literature survey and enterprises information around the world. Among the seventy seven cases of fashion collaboration surveyed in this study, collaboration with other fields made up 59.7 percent, collaboration between the same fashion categories made up 40.3 percent. Among the areas of other fields, collaboration with IT(Information Technology) or Motor enterprises were included and made up 36.4 percent. Collaborations with Culture and art world that fashion brands collaborate with world-renowned industrial designer or artist and star entertainers were also included and made up 23.3 percent. Among the areas of the same categories, collaboration of fashion designer and sports or casual brand made up 22.1 percent. Collaborations of home shopping mall and fashion designer made up 18.2 percent. Collaboration cases surveyed in this study were classified according to three types; co-product development, co-branding, and co-marketing. Collaboration for co-product development made up 72.7 percent. Collaboration for co-branding made up 27.3 percent. Collaboration for co-marketing made up 37.7 percent. These collaboration marketing strategies are very efficient to upgrade brand image and cut the marketing cost by creating new target, product, brand, and promotion through successful partnerships. Therefore, much more various types and areas of fashion collaborations should be developed to create something new for future consumers.

목차

등록된 정보가 없습니다.

참고문헌 (17)

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