• 제목/요약/키워드: Fashion forecast

검색결과 42건 처리시간 0.019초

녹색을 중심으로한 복식의 색채계획 (Green Color for Color Planning in Apparel Fashion Design)

  • 김영인
    • 복식
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    • 제31권
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    • pp.33-46
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    • 1997
  • The purpose of this study was to investigate color planning method for apparel fashion de-sign and to present the method of analysis of green color. Theoretical backgrouds of color planning for fashion design were scrutinized by documentary studies Fashion color planning has been developed through 4 steps: analysis of color environment analysis of color psy-chology presentation of coordination appli-cation to fashion design. Green color environment consisted of mar-ket informations and forecast informations The former were collected by color samples which were used for women's apparel of national brands from '93 spring/summer to '96 spring/summer and the latter were analyzed by fashion forecasting books. Green color psy-chology was investigated through the docu-mentary studiess. image of green color and these expressed in fashion were revealed through documentary studies. The results of this study were as follow: 1. 117 green color samples were collected from domestic womens brand. The character-istic of samples were the yellow green in hue and pale light bright in tone. forecast infor-mation was collected through fashion forecasting books from abroad and adaption of forecast information was investigated by mak-ing a comparison forecasting information be-tween market information. In consequence national market colors reflected the forecast information in concurrence with the character-istic colors of national women's apparel. 2. Affirmative images of green were nature youth health and abundance and negative images were extraordinary misfortune wind-fall. in these images nature youth and health were mostly used in fashion.

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ARDL 시계열 모형을 활용한 패션 브랜드의 매출 예측 분석 -패션 브랜드와 광고모델의 웹 검색량, 정보량, 가격할인 프로모션을 중심으로- (Fashion Brand Sales Forecasting Analysis Using ARDL Time Series Model -Focusing on Brand and Advertising Endorser's Web Search Volume, Information Amount, and Brand Promotion-)

  • 서주연;김효정;박민정
    • 한국의류학회지
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    • 제46권5호
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    • pp.868-889
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    • 2022
  • Fashion companies are using a big data approach as a key strategic analysis to predict and forecast sales. This study investigated the effectiveness of the past sales, web search volume, information amount, brand promotion, and the advertising endorser on the sales forecasting model. The study conducted the autoregressive distributed lag (ARDL) time series model using the internal and external social big data of a national fashion brand. Results indicated that the brand's past sales, search volume, promotion, and amount of advertising endorser information amount significantly affected the sales forecast, whereas the brand's advertising endorser search volume and information amount did not significantly influence the sales forecast. Moreover, the brand's promotion had the highest correlation with sales forecasting. This study adds to information-searching behavior theory by measuring consumers' brand involvement. Last, this study provides digital marketers with implications for developing profitable marketing strategies on the basis of consumers' interest in the brand and advertising endorser.

기상정보를 활용한 의류제품 판매예측 시스템 연구: S/S 시즌 제품을 중심으로 (A Study on Clothes Sales Forecast System using Weather Information: Focused on S/S Clothes)

  • 오재호;오희선;최경민
    • 한국의류산업학회지
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    • 제19권3호
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    • pp.289-295
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    • 2017
  • This study aims to develop clothing sales forecast system using weather information. As the annual temperature variation affects changes in daily sales of seasonal clothes, sales period can be predicted growth, peak and decline period by changes of temperature. From this perspective, we analyzed the correlation between temperature and sales. Moving average method was applied in order to indicate long-term trend of temperature and sales changes. 7-day moving average temperature at the start/end points of the growth, peak, and decline period of S/S clothing sales was calculated as a reference temperature for sales forecast. According to the 2013 data analysis results, when 7-day moving average temperature value becomes $4^{\circ}C$ or higher, the growth period of S/S clothing sales starts. The peak period of S/S clothing sales starts at $17^{\circ}C$, up to the highest temperature. When temperature drops below $21^{\circ}C$ after the peak temperature, the decline period of S/S clothing sales is over. The reference temperature was applied to 2014 temperature data to forecast sales period. Through comparing the forecasted sales periods with the actual sales data, validity of the sales forecast system has been verified. Finally this study proposes 'clothing sales forecast system using weather information' as the method of clothing sales forecast.

스트리트 패션을 근원으로 한 영 패션의 형성에 대한 연구 (A study on the formation of Youth's Fashion based on Street Fashion)

  • 신혜영
    • 복식
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    • 제27권
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    • pp.5-16
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    • 1996
  • In today's fashion Street is a birthplace of new generation fashion and Street Fashion have frequently influenced on high fashion. From this view point this study is a meaningful approach to forecast future fashion trend by examining the street style of youth who are regarded as Street Fashion leaders. The purpose of this study is to examine the Youth Fashion style in early 1990s and to pro-vide a reference to fashion designer and mer-chandiser in trend forecasting and product plan-ning. This study is focused on 1990s Youth Fashion style through the historical Street Fashion : 1950s Teddy boys & Mods 1960s Hippies & Skinhead and 1970s Punk. There were mainly two popular Street Fashion phenomena in early 1990s. There were mainly two popular Street Fashion phenomena in early 1990s. One is grunge fashion created by new gener-ation in opposition to existing generation society and impacting on hish fashion leaders. The other is Remix style that is mixed : sub culture fashion originated by young group in 1950-1970s with 1990s sensitivity. Both fashion styles origionated and led by youth of street have influenced on famous high fashion designeres as well as the general public. Street Fashion will continue to play an import-ant role in future fashion and more study and interest on Street Fashion should be taken by fashion forecaster and related.

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예측으로 본 1995년까지의 패션 경향 -패션의 행동 과학 모델을 중심으로- (FORECAST OF FASHION TO 1995 -Concerning the Behavioral Science Models of Fashion-)

스트리트패션에 나타난 한국 소비자들의 패션예측 수용 (Acceptance of Fashion Forecast as Reflected in the Street Fashion in Korea)

  • 유혜경
    • 한국의류학회지
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    • 제31권6호
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    • pp.879-891
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    • 2007
  • 빠른 유행변화와 긴 제조과정으로 인하여 패션업계에서 유행예측은 매우 중요한 과업이며,성공의 열쇠가 된다. 따라서 예측된 스타일이 소비자들에게 수용되어 유행되는 과정은 학문적으로나 산업적으로 매우 중요한 주제이다. 이 연구는 해외 콜렉션에서 예측된 유행스타일들이 한국시장에서 어떻게 수용되는지를 알아보고자 여성복 해외 콜렉션 자료와 서울의 스트리트패션 자료를 02 s/s 시즌부터 05 s/s 시즌까지 7시즌에 걸쳐 비교하였다. 해외 콜렉션 자료는 전문 패션잡지인 Fashion Show에서 수집하였으며, 스트리트 패션자료는 서울패션디자인센터의 자료를 사용하였다. 그 결과 우리나라는 해외 콜렉션에서 나타난 전반적인 트렌드를 잘 수용하고 있으며 특히 이 기간 동안은 스포티 스타일과 페미닌 스타일이 크게 유행하였던 것으로 나타났다. 그러나 해외 콜렉션에서 나타난 스타일이 그대로 수용되기보다는 변형되거나, 일부만이 수용되는 경우가 더 많았으며 이것은 한국사회의 특성과 대량생산에 기인한 것으로 사료된다. 또한 해외 콜렉션에서 제시된 스타일들 중 한국에서는 거의 수용되지 않은 경우도 있었으며, 한편 한국에서만 나타난 스타일과 아이템들도 있었다. 이 연구는 해외 콜렉션 자료를 주 정보원으로 사용하는 국내 의류업체들의 상품기획에 좋은 가이드라인을 제공하고 있으며, 또한 한국 패션시장의 특성을 이해하는데 도움이 되는 실증적인 연구로 의의가 있다.

A Study on the Characteristics of Digital Architecture Expressed in the Contemporary Fashion Works of Hussein Chalayan

  • Chun, Jae-Hoon
    • 한국의류학회지
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    • 제34권12호
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    • pp.1957-1967
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    • 2010
  • This study analyses the qualities of digital architecture applying digital technologies by examining the qualities applied to the fashion designs of Husssein Chalayan. The aim of this study is to forecast in what ways the digital influence over fashion will evolve. This study was based on literature and case studies to examine the characteristics of digital architecture, and a case analysis of fashion design was conducted on the collections of Hussein Chalayan that draw heavily from technology. As a result, it was possible to classify the characteristics of digital architecture into five groups - immateriality, interactivity, nonlinearity, liquidity, and hypersurface; in addition, all of these characteristics were found in the works of Hussein Chalayan. The digital paradigm will continue to influence modern architecture and fashion in functional and/ or expressive terms that will continue to strengthen through the further advancement of digital technology.

20세기 스페이스 에이지 패션과 테크노-사이버 패션의 패러다임적 특성에 관한 연구 (A Study on the Paradigmatic Characteristics of the Space Age Fashion and Techno-Cyber Fashion in 20th Century)

  • 문신애;김문숙
    • 복식문화연구
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    • 제7권6호
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    • pp.170-181
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    • 1999
  • The purpose of this study is to suggest the possibility of futurism as original design pursuing newness in approaching 21C by studying how futurism having a great effect on fashion as innovatory ideology in early 20C did became paradigm in 20C fashion and the common peculiarity of the dress and its ornaments in this time before 21C. The Space Age Fashion and Techno-Cyber Fashion are representative futurism fashion of 20C. The common inner inclination in both Space Age Fashion and Techno-Cyber fashion are ; First, a future-oriented character. Second, a surrealism character, Third, an anti-cultural character. The greatest peculiarity in the common outer shape in both Space Age Fashion and Techno-Cyber Fashion is material. First, a innovatory choice. Second, an active motion. Third, a diverse effects. Future dress and its ornaments of 21C may be changed greatly by the development of technique, and this fact supports the forecast that the change of paradigm resulted from the development of science may have an effect on future dress and its ornaments as well as modern one. The paradigm change of futurism fashion would be continued, and its influence would work as main source shaping the form of design in 21C.

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멀티채널 유통브랜드의 샵마스터 역할에 대한 질적 연구 (A Qualitative Study on the Role of Shop Masters in Multi-channel Retail Context)

  • 이정진;황선진
    • 패션비즈니스
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    • 제22권5호
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    • pp.83-95
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    • 2018
  • As the paradigm of fashion retail industry moves rapidly to the multi-channel, the role of shop master has changed as well. Therefore, the purpose of this study is to examine in-depth the changing role of shop masters in multi-channel retail paradigms. In-depth interviews were conducted, and all interviews were recorded with permission. Seven shop masters participated in in-depth interviews. All of them were sales specialists, with more than 10 years working experience, at department stores. Results of this study are as follow: First, the roles of a multi-channel shop master include store management, management of sales associates, customer relationship management, and management in relation to the headquarters and suppliers. Second, the most important competencies of shop masters are to forecast future demand, establish information networks, communicate well with others, and create a work environment resulting in higher productivity.