LikeSNU-서울대 중앙도서관 빅데이터 지식 플랫폼

트렌드 예측 정보 수용 관점에서 서울과 파리의 스트리트 패션 비교 연구

Author

양윤정, 김미현

Journal Title

상품문화디자인학연구

Publication Year

2019

Topics

#Fashion

Summary

This study compares street fashion in Seoul and Paris to examine the gap with the 2019 S/S fashion trend predictions and identify the characteristics of domestic and international acceptance of trend prediction information. The results showed that general street styles in both cities were more prevalent than predicted trends, with classic styles being the most preferred, followed by casual, feminine, and kitsch. Consumers tended to focus on a limited number of trend themes predicted by fashion information companies.

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