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
수웨이표 (성균관대학교) 서승희 (성균관대학교)
저널정보
한국패션비즈니스학회 패션 비즈니스 패션 비즈니스 제25권 제1호
발행연도
2021.1
수록면
16 - 38 (23page)

이용수

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

초록· 키워드

오류제보하기
The purpose of this study was to develop a fashion design with a greater sense of modernism based on the characteristics and design elements of Myanmar traditional clothing focusing on the Yandanapon Mandalay period of the last dynasty of Myanmar using the SCAMPER technique, which is one of the creative methodologies. Contemporary menswear fashion designs were developed based on the individual elements of the questionnaire on the SCAMPER technique using fashion design elements. The design development process was as follows. First, this study set the developmental theme of contemporary menswear fashion design in Myanmar’s traditional clothing style during the Yadanapon Mandalay period. Second, to develop designs using the SCAMPER technique, the elements of Myanmar’s traditional clothing were first divided into item composition and design elements, followed by application of the SCAMPER questionnaire. Also, various designs were developed by combining and applying different elements. Third, optionally selective elements evolved from the design development process using the SCAMPER technique questionnaire. Fourth, the design evaluation was used to select the designs matching the study purpose out of 55 design sketches via FGI (Focus Group Interview) consisting of four fashion designers. Fifth, a total of six designs were selected by additional design modification. Based on the aforementioned processes, a total of six works of men’s clothing design were presented. This study provides basic data for the cultural and aesthetic understanding of traditional Myanmar clothing. It also serves as a source of new ideas to express modern fashion design in different ways.

목차

등록된 정보가 없습니다.

참고문헌 (26)

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