• Title/Summary/Keyword: amekaji fashion

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A Study on the Color Characteristics of Amekaji Menswear Fashion Brands (아메카지 남성복 패션 브랜드의 색채 특성 연구)

  • Gihyung Kim
    • Journal of Fashion Business
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    • v.27 no.3
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    • pp.75-95
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    • 2023
  • This study aims to investigate the color characteristics and utilization of Amekaji fashion in the domestic casual market, with a focus on menswear. A total of 1,882 color data were extracted from 11 representative brands of Amekaji. This results of the study showed that PB, Bk, YR, and Y colors were highly utilized in the overall color, and dkg, g, ltg, and p tones were highly utilized. In particular, R color was highly utilized in the point color, as it was developed into six tones, including v, with high saturation. The analysis by the brand showed that the highest number of colors were extracted from 'Kapital', which is famous for its vintage-style patchwork and dyeing, and that 'PB' and 'Bk' were heavily utilized. By the item, PB colors were mainly utilized for denim, and shirts were diversified with 9 tones. W, a neutral color, was mainly used on clothing tops such as shirts, knits, and T-shirts. This study provides valuable insights into the color sensitivity of Amekaji fashion, which can be used as a useful resource for design development and product planning in the industry. As a future study, we suggest analysis of the utilization of Amekaji colors in the Korean men's casual market along with American and Japanese brands.

A Study on the Characteristics of Amekaji Fashion Trends Using Big Data Text Mining Analysis (빅데이터 텍스트 마이닝 분석을 활용한 아메카지 패션 트렌드 특징 고찰)

  • Kim, Gihyung
    • Journal of Fashion Business
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    • v.26 no.3
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    • pp.138-154
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    • 2022
  • The purpose of this study is to identify the characteristics of domestic American casual fashion trends using big data text mining analysis. 108,524 posts and 2,038,999 extracted keywords from Naver and Daum related to American casual fashion in the past 5 years were collected and refined by the Textom program, and frequency analysis, word cloud, N-gram, centrality analysis, and CONCOR analysis were performed. The frequency analysis, 'vintage', 'style', 'daily look', 'coordination', 'workwear', 'men's wear' appeared as the main keywords. The main nationality of the representative brands was Japanese, followed by American, Korean, and others. As a result of the CONCOR analysis, four clusters were derived: "general American casual trend", "vintage taste", "direct sales mania", and "American styling". This study results showed that Japanese American casual clothes are influenced by American casual clothes, and American casual fashion in Korea, which has been reinterpreted, is completed with various coordination and creative styles such as workwear, street, military, classic, etc., focusing on items and brands. Looks were worn and shared on social networks, and the existence of an active consumer group and market potential to obtain genuine products, ranging from second-hand transactions for limited edition vintages to individual transactions were also confirmed. The significance of this study is that it presented the characteristics of American casual fashion trends academically based on online text data that the public actually uses because it has been spread by the public.