• Journal of the Korean Society of Costume
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• v.31
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.5
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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.

• Fashion & Textile Research Journal
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• v.19 no.3
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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.

• Fashion Information and Technology
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• v.4
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• pp.25-33
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• 2007

• Journal of the Korean Society of Costume
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• v.27
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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.

• Journal of the Korean Society of Costume
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• v.18
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• pp.321-337
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• 1992

Fashions are constantly subject to change, so that forecasting trends in fashion is very difficult and the forecasting is very important. The reason is that forecasting is identifying a hot trend for the next days' business and projecting the future. The purpose of this study is to suggest the realistic forecasting theory identify fashion trends at present, further forecast fashion trends to 1995. For this study, historical models (th historical resurrection model, the historical continuity model) and the art movement model among the behavioral science models which was suggested in 1986 by Geoge B.Sproles were selected. According to this study, was exhibited. This curve was resulted from relation between 1980s fashion trends and the behavioral science models of fashion. Fashion trends to 1995 through will be followings; 1. Body Conscious look as one of the characteristics of modern fashion will bi continued throughout 1990s' fashion trends. 2. The attraction of Mini style was started from the middle of 1980s, recently gets near micro mini and super shouts, These are representative of the historical continuity model. 3. Mini look as revivals of '60s in early 1990s fashion trends. This phenomenon identifies that "Fashion is repetition" 4. When Mini look and super shorts reach, will not progress any more. In this time, will bi seen transfer of style be using classic style. Tat is modern classic will be appeared. also this condition is same from late 1960s to early 1970s. In view of the historical base, the action of the varieted pants will be prominent. 5. Fashion trends which passed through this process will transfer from young look to elegant look. In this time, designers will retrospect '30s and '50s fashion trends, and then will design modern feminine look. 6. Ethnic look, the fashion trend after that condition will be accelated feminine look. This look with the feminine look will reveal rich, colorful, elegance feminine image. 7. In 1980s, activity and function in clothes were demanded. The clothes which are considered these condition will be demanded continuously. 8. The variety of fashion will appear as mixmode and new coordinate look in a clothes simultaneously in fashion of '90s. And these looks will creat mixed beauty. 9. Pop art, op art, graphic art will be not only development of textile but also movement of fashion soul in 1990s. The fashion behavior will be continuously scientificated.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.879-891
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• 2007

Forecasting is a critical task for fashion companies because of continuous change in fashion and long process lead-time. Therefore, it is of great importance for both scholars and companies to understand how forecasted fashion styles are accepted by consumers. This research aimed to investigate consumer acceptance of fashion styles in Korea. The study examined and compared oversea collections of women's wear to the street fashion in Korea for seven seasons from 02 s/s to 05 s/s. Information on oversea collections were obtained from the magazine, Fashion Show, and the street fashion information from Seoul Fashion Design Center. The results showed that overall trends presented in oversea collections have been well accepted, while acceptance of specific styles or items varied. During the period of this research, sporty style and feminine style were very strong in the street fashion. Many styles and items were modified and selectively accepted probably because of cultural differences and limitations of mass production. Some styles which were presented in oversea collections were not accepted in Korea, and at the same time some cases were observed only in the street fashion in Korea. The results of this study provide guidelines for Korean apparel companies in merchandise planning and empirical findings to deepen the understanding on Korean society with respect to fashion.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.12
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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.

• The Research Journal of the Costume Culture
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• v.7 no.6
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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.

• Journal of Fashion Business
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• v.22 no.5
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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.