• 제목/요약/키워드: fashion trend forecasting

검색결과 18건 처리시간 0.017초

국내 패션 시스템에서 패션 트렌드 정보 예측의 영향력 (Influence of Fashion Trend Forecasting on Korean Fashion System)

  • 정다운;김성은;하지수
    • 한국의류학회지
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    • 제46권6호
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    • pp.963-986
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    • 2022
  • This article surveys the fashion forecasting industry in Korean domestic markets. With the rise of new media and devices with high technology, the paradigm of fashion trends forecasting systems has dramatically changed. New perspectives of trend forecasting are required to understand the trend flow and consumer behavior of the MZ generation. The research questions are as follows: 1) Major trend forecasting companies studied the development of their strategies and new forecasting methods. 2) The consumers' needs in the domestic market were analyzed. The influence of the trend companies' forecasting on the market was investigated. The results are as follows: 1) International trend forecasting significantly affected the domestic market. The concordance rate between consumers' online searches about fashion trends was approximately 70.14%. The match rate by category is as follows: The highest rate, 85.06% is from pattern and print, color is 83.92%, the item is 80.39%, and style is 54.32%. 2) Specialized information such as the Pantone color chart is being widely consumed, leading to a trend among the masses. 3) The Korean-specific socio-cultural background has an impact on domestic trends.

패션정보기획의 체계화를 위한 국내 패션정보산업의 고찰 (The Study on Domestic Fashion Information Service Industry for Systematization of Fashion Trend Information Planning Process)

  • 최미영;손미영
    • 한국의류산업학회지
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    • 제10권6호
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    • pp.926-935
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    • 2008
  • The field of textile and fashion is regard to be sensitive to trend, however, the professional fashion information planning company for trend forecasting has not settled down in Korea. This study was designed to propose systemizing for fashion trend information planning in domestic fashion information service market. The empirical research was conducted by analysing in-depth interview data and news-scrap contents about each fashion information planning company. The result are as follows; First, fashion information service showed a little difference according to the type of fashion information companies, but they provided not only general fashion trends but also external market environmental information, survey-based consumer information and various segmented market research reports including academic information. Second, the fashion information planning process is largely divided into 3 stages; trend analysis, trend forecasting, trend application. The trend application step is the stage which connects the fashion information service industry to the fashion business. Thirdly, as a result of the competitive power evaluation for fashion information planning, the domestic fashion information planning companies came to reveal the fact that the possibility of carrying out and information analysis power were weak, however, how to present trend information had a relatively competitive. Consequently, this study is expected to play a role in understanding the importance of fashion trend information, and further ahead it would be helpful to organize the curriculum of fashion information planning subject in order to educate the future fashion executives.

패션 트렌트(2010~2019)의 주요 요소로서 소재 - 텍스트마이닝을 통한 분석 - (Material as a Key Element of Fashion Trend in 2010~2019 - Text Mining Analysis -)

  • 장남경;김민정
    • 한국의류산업학회지
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    • 제22권5호
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    • pp.551-560
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    • 2020
  • Due to the nature of fashion design that responds quickly and sensitively to changes, accurate forecasting for upcoming fashion trends is an important factor in the performance of fashion product planning. This study analyzed the major phenomena of fashion trends by introducing text mining and a big data analysis method. The research questions were as follows. What is the key term of the 2010SS~2019FW fashion trend? What are the terms that are highly relevant to the key trend term by year? Which terms relevant to the key trend term has shown high frequency in news articles during the same period? Data were collected through the 2010SS~2019FW Pre-Trend data from the leading trend information company in Korea and 45,038 articles searched by "fashion+material" from the News Big Data System. Frequency, correlation coefficient, coefficient of variation and mapping were performed using R-3.5.1. Results showed that the fashion trend information were reflected in the consumer market. The term with the highest frequency in 2010SS~2019FW fashion trend information was material. In trend information, the terms most relevant to material were comfort, compact, look, casual, blend, functional, cotton, processing, metal and functional by year. In the news article, functional, comfort, sports, leather, casual, eco-friendly, classic, padding, culture, and high-quality showed the high frequency. Functional was the only fashion material term derived every year for 10 years. This study helps expand the scope and methods of fashion design research as well as improves the information analysis and forecasting capabilities of the fashion industry.

A Study on Fashion Collections Colors in Korea, China, and Japan: Focused on Comparison with Trend Colors by Carlin

  • Hong, Hyungmin;Lee, Misuk
    • 패션비즈니스
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    • 제18권6호
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    • pp.86-99
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    • 2014
  • The purpose of this study is to analyze women apparel's colors in the Seoul, Beijing, and Tokyo collections and examine the color characteristics of three collections through comparison with trend colors suggested by Carlin, a color forecasting group. A literature review and an empirical study were used for methodology. The literature review examined the status and characteristics of the three collections, a fashion color forecast, and F/W 2014-15 trend colors by Carlin based on previous researches and literature data on fashion color. The empirical study extracted and analyzed 2014-15 F/W women's ready-to-wear collections in Seoul, Tokyo, and Beijing and compared the result with trend colors by Carlin. First, the colors of women's apparel were analyzed in the Seoul, Beijing, and Tokyo collections. All three collections commonly used achromatic colors and the percentage of Bk, Gy, Wh, R, and B colors was high. All three collections used achromatic colors frequently for the main color and sub colors. For accent colors, while the application of achromatic colors was high in the Seoul collection, the application of chromatic colors was high in the Tokyo and Beijing collections. Second, women's apparel colors in the Seoul, Beijing, and Tokyo collections were compared with trend colors suggested by Carlin. All three collections highly reflected Bk, Wh, and R (Carlin's forecasting color of 'Splendor') and B (forecasting color of 'Boreal'). However, the reflection of metallic colors suggested as a keyword of 'Brave New World' and Pk color of 'Sensitive' and 'Boreal' were a bit low.

A Development Study for Fashion Market Forecasting Models - Focusing on Univariate Time Series Models -

  • Lee, Yu-Soon;Lee, Yong-Joo;Kang, Hyun-Cheol
    • 패션비즈니스
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    • 제15권6호
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    • pp.176-203
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    • 2011
  • In today's intensifying global competition, Korean fashion industry is relying on only qualitative data for feasibility study of future projects and developmental plan. This study was conducted in order to support establishment of a scientific and rational management system that reflects market demand. First, fashion market size was limited to the total amount of expenditure for fashion clothing products directly purchased by Koreans for wear during 6 months in spring and summer and 6 months in autumn and winter. Fashion market forecasting model was developed using statistical forecasting method proposed by previous research. Specifically, time series model was selected, which is a verified statistical forecasting method that can predict future demand when data from the past is available. The time series for empirical analysis was fashion market sizes for 8 segmented markets at 22 time points, obtained twice each year by the author from 1998 to 2008. Targets of the demand forecasting model were 21 research models: total of 7 markets (excluding outerwear market which is sensitive to seasonal index), including 6 segmented markets (men's formal wear, women's formal wear, casual wear, sportswear, underwear, and children's wear) and the total market, and these markets were divided in time into the first half, the second half, and the whole year. To develop demand forecasting model, time series of the 21 research targets were used to develop univariate time series models using 9 types of exponential smoothing methods. The forecasting models predicted the demands in most fashion markets to grow, but demand for women's formal wear market was forecasted to decrease. Decrease in demand for women's formal wear market has been pronounced since 2002 when casualization of fashion market intensified, and this trend was analyzed to continue affecting the demand in the future.

패션 트렌드의 다중화(多重化) 현상(現象)에 대(對)한 범주(範疇) 분석(分析) - 1995 S/S$\sim$2001/2002 A/W 시즌을 중심(中心)으로 - (A Domain Analysis on the Hybrid of Fashion Trends - Fashion Trends of 1995 S/S $\sim$ 2001/2002 A/W -)

  • 윤수정;이주현
    • 패션비즈니스
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    • 제6권2호
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    • pp.110-123
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    • 2002
  • This study investigated the influence of cultural and general trend of the times on fashion trends and the hybridization of these trends. The objectives of this study were to suggest new approach method of the fashion forecasting and to find out the cultural meanings and values of fashion. Key words that explains fashion trend from spring/summer of 1995 to fall/winter of 2002 were collected from professional fashion trend journals. These terms were analysed with domain analysis based on the semantic relationship. The frequency of their appearance in each season and the aspect of their appearance in each season were analysed. The hybrids of the fashion trends were analysed longitudinally and cross-sectionally as well by investigating the cover terms that were found as a result of domain analysis. The method used in this study can be applied to future study of fashion trend in that it offers an objective view of fashion trend and can allow researchers to study fashion trend in a concrete way.

대중스타의 패션 트렌드에 관한 연구 (A Study on the Fashion Trends of a Popular Star)

  • 이은숙
    • 한국의상디자인학회지
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    • 제10권1호
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    • pp.69-78
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    • 2008
  • A new coinage which calls a modern was appeared variously by values, taste, feature of lifestyle and the meaning of a new coinage has influence in the change of lifestyle. Particularly a popular star is a person who situates in the center of a new coinage, his role, behavior, and appearance have great influence in the birth of a new coinage. He is a fashion leader as well as the object of fashion imitation to the new generation being sensitive for fashion. As his fashion is appeared with important fashion icon in fashion market, fashion companies have developed actively star marketing marking him as an advertising model. Therefore, because the fashion trends of a popular star introduce season's fashion trends and can be important factor forecasting fashion behavior of consumer, this study aims at analysis for fashion trends of a popular star including a public entertainer. The dates of this study were collected by TV drama, internet, and magazines, etc. The fashion trends were divided into feminine fashion trend, sexy fashion trend, tomboy fashion trend, and retro fashion trend. Feminine fashion trend was based on feminity but it was classified in masculine look, simple look, chic look, and natural & romantic look according to the standard of a transformation of feminine image. Sexy fashion trend was divided into two sexy images according to the method wrapping oneself in a dress and the method exposing a specific body part. Tomboy fashion trend could be the immature boyish style which concealed bust or hip or pelvis symbolizing feminity. Retro fashion trend could be style being based on 1980's style and Y line. Fashion items as leggings, baby doll dress, tunic style, dot pattern, garsonne look were come into fashion.

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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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Acceptance Level of Forecasted Fashion Trends by National Brand Casual Wear in the Late of 1990s

  • Lee, Woon-Hyun;Hwang, Choon-Sup
    • The International Journal of Costume Culture
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    • 제4권3호
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    • pp.229-240
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    • 2001
  • The purpose of the present study was to analyze the acceptance level of forecasted information of casual wear in tate 1990s in Korea and the way of utilizing fashion trends information by casual wear industries. The Present study was implemented by content analysis and descriptive survey using questionnaire and interview. Trends information in fashion journals published by fashion institute and articles in daily newspapers were analyzed in terms of fashion image, color, fabric, and silhouette. The data collected from questionnaire and interview with 113 fashion specialists were analyzed through frequency, percentage. The results indicated that among the forecasted information regarding fashion image, romantic and feminine images showed a high level of acceptance to national brand women's casual wear in the late 1990s, while mannish image showed a low level of acceptance. For men's casual wear in the same time period, androgynous trends appeared most frequently, not only in forecasted information, but also in actual trend. it was forecasted that yellow, white, and gray would be in trend and those colors appeared frequently in actual trend. On the other hand pastel tone appeared much more frequently than forecasted. Natural, thin - transparent (S/S) and stretch fabrics (F/W) were in actual trend as it was forecasted. Fit and Pare (woman), and long and slim (man) silhouettes were in actual trend as if was forecasted, but barrel silhouette appeared only in forecasted information. Most of the information forecasting fashion trends for next season were applied to the product planning of the season, right after the information comes out.

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패션정보제공업무 종사자의 직무만족 (Fashion Information Providers' Job Satisfaction)

  • 허진희;구양숙
    • 한국의류산업학회지
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    • 제10권1호
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    • pp.59-67
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    • 2008
  • The purpose of this study was to investigate the job satisfaction of fashion information providers. This study was performed by interview with 14 fashion information providers from April to May 2007. There were three categories on factors influencing fashion information providers' recognitions of job satisfaction (workplace atmosphere, job description, and personal characteristics).