The current study aims to analyze the process of fabric production planning in Dongdaemun Market, which is a successful model case industrial integration in South Korea. We followed the changes in perception among fabric experts, regarding their recognition of fashion trends, and the following planning and process of fabric production. We used the purpose sampling method to select participants for interview in the Dongdaemun Market, then we carried out one-to-one interviews. Our analysis reveals 4 points of importance. First, the fabric planning stage either employed the trend book swatch, or simply reused the model fabrics already available. Even though the experts felt the need to accept the latest fashion trends, very few considered the trends as positive influences in fabric planning. Whereas trend was a key element in identifying the flow of the fashion industry, there were obstacles in carrying out the study. Second, experts frequently participated in domestic fabric seminars, but not in textile exhibitions. Third, domestic and overseas market research has been performed typically at department stores, and typically at Japan. Fourth, the influx of Chinese fabrics has both positive and negative influences, such as low price, and low reliability. In conclusion, experts were less amenable to accepting the latest fashion trends. pre-requisites in real life to meet the use of the current trend of each company. More studies on the Dongdaemun Market from perspectives of practitioners are warranted.

This study analyzed the design elements and fashion images of women's knitwear in collections of Paris, Milan, London and New York between 2003 and 2008, and examined knitwear trends in an effort to verify whether knitwear trends are repeated in certain cycles, whether they show complicated patterns in cycles and yet occur in quasi cycles, or whether they occur non-periodically in complicated forms of chaotic cycles. Trend cycle analysis results are deemed to identify the time series attribute of knit fashions. It also sought to categorize the attribute of various factors influencing knitwear trends with a view to determining relevancy between design elements, and to present the direction of predicting knitwear fashion trends and the progression of short-term knitwear trends. This study reached the following conclusion. According to design elements or fashion images, knitwear fashion trends occur in cycles, quasi cycles, non-periodical cycles. These cyclic characteristics can be used as scientific data for planning knitwear products. The study confirmed close relevancy between fashion images and fashion elements. It identified close relevancy between designs with similar fashion elements and images through coordinates by year and season, and it is possible to make short-term prediction of trend direction through the flow of coordinates. Time series data were insufficient, thereby making it difficult to perfectly verify chaos indices and giving limitations to this study. A study with more time series data will produce a more effective method of predicting and using knitwear fashion trends.

The purpose of this study is to come up with ways that cooperate between on-line game design and fashion design by analyzing trend color and on-line game character’s costume color in on-line game. As for the research methodology, First, on-line games were selected with reference to www.ranky.com. Second, 2009 SS trend color palettes suggested by Copenhagen International Fashion Fair was used as a criterion of fashion trend. Third, on-line game character's costume colors were analyzed in relation to the degree of reflection of trend and the game character's type. The results are as follows. Each on-line game character costume's colors were made in accordance with typical character types. But we can find a one-to-one correspondence between fashion trend colors and game character costume's colors. That's because both trends and character types are the results of the continuing interactions between human-beings and societies. In comparison with fashion trend colors, game character costume colors are partly raw and inharmonious. Therefore, it is necessary to apply fashion trend color in game character costume design for enhancing competitiveness in the world market.

K패션으로 명칭되며 글로벌화를 시도하고 있는 국내 패션 브랜드가 늘어나는 추세다. 국내 브랜드의 해외 진출을 더욱 성공적으로 이끌기 위하여 해외 소비자들의 실질적 수요에 대한 정확한 분석이 필요하다. 이에 본 연구에서는 서울과 파리의 로컬 패션인 스트리트 패션을 비교하고 두 도시의 패션 스타일을 분석하여 공통점과 차이점을 파악, 이 결과와 트렌드 예측 정보와의 간극을 살펴봄으로써 트렌드 예측 정보가 스트리트 패션에 수용되는 국·내외 특성을 살펴보고자 한다. 본 연구의 내용은 첫째, 스트리트 패션과 패션 트렌드 예측 정보의 관점에서 연구 방법론을 모색하였다. 둘째, 2019년 S/S 패션 트렌드 관점에서 서울과 파리의 스트리트 패션을 파악하였다. 셋째, 패션 트렌드 예측 정보 수용의 관점에서 서울과 파리 스트리트 패션의 수용 정도 및 특성을 도출하였다. 연구 결과, 서울과 파리, 두 도시에서 일반적인 스트리트 스타일이 2019 S/S 트렌드로 예측된 스타일보다 높은 비율로 나타났다. 도시 별 스타일 선호에서도 차이가 나타났는데, 서울과 파리 두 도시에서 공통적으로는 클래식이 가장 높게 나타났고, 캐주얼과 페미닌, 키치 순으로 뒤를 이었다. 패션 트렌드 예측 정보에 대한 소비자 수용 현황을 볼 때, 두 도시의 소비자들은 패션 정보 업체가 예측한 트렌드 테마 중 한정된 몇가지 테마에 집중하는 양상을 보였다.