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
지혜경 (한성대학교)
저널정보
복식문화학회 복식문화연구 복식문화연구 제25권 제3호
발행연도
2017.6
수록면
359 - 374 (16page)
DOI
10.29049/rjcc.2017.25.3.359

이용수

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

초록· 키워드

오류제보하기
The objective of this study was to compare business management indicators among textiles and fashion companies. Business management indicators of 356 textiles and fashion companies for the year 2015 were analyzed, using income statements showing their management results. The results were as follows. First, there were statistically significant differences between the operating income ratios of textiles and fashion companies for the term, but there were none when it came to net income ratio. Second, the differences between cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios among textiles and fashion companies were all statistically significant. The cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios were higher for fiber and thread companies, fabric companies, and dyeing and finishing companies than for clothing and fashion accessories companies. Third, there were statistically significant differences between the ratio of salaries and the ratio of advertising expenses among textiles and fashion companies. The salaries ratios and advertising expenses ratios for clothing companies were higher than those of fiber and yarn companies, fabric companies, and dyeing and finishing companies. This study is meaningful as it has identified the business characteristics of textiles and fashion companies using the management indicators of those companies, which have not been sufficiently explored by previous studies. It has also helped to improve understanding of the industrial structure of the upstream and midstream sectors of the textiles and fashion industries.

목차

등록된 정보가 없습니다.

참고문헌 (42)

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