• Fashion & Textile Research Journal
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• v.10 no.1
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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).

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.1
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• pp.131-136
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• 2014

In this paper, we develop a fashion products demand forecasting algorithm using ARIMA model and Wavelet Neural Networks model. To show effectiveness of the proposed method, we analyzed characteristics of time-series data collected in "H" company during 2008-2012 and then performed the proposed method through various analyses. As noted in experimental results, the performance of three types model such as ARIMA, Wavelet Neural Networks and ARIMA + Wavelet Neural Networks show 5.179%, 4.553%, and 4.448.% with respect to MAPE(Mean Absolute Percentage Error), respectively. Thus, it is noted that the proposed method can be used to predict fashion products demand for efficient of operation.

• Fashion & Textile Research Journal
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• v.7 no.2
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• pp.196-202
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• 2005

The purposes of this study were to investigate and analyze the relationship between the elements of textile design and consumer emotion and to suggest effective design methods. In addition, the forecasting system for textile design based on the results of this study was developed. The database system of textile design was organized by installing Mysql database server and tomcat servlet container on windows NT. The user interface was utilized using jsp on the web. This study findings can provide textile design samples which were suitable for each emotional factor, and an evaluation basis for each design element by the descriptive system of textile design. The forecasting system based on this study findings can also provide specific design methods for the effectiveness of consumer emotion and can be applied in a practical design process. This study based on the results of the quantitative analysis on consumer emotion has presented an objective and an efficient design method. This will be a useful expedient to improve the existing textile design process and for the consumer design.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.209-219
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• 2008

The purpose of this study was to investigate job stressors of information planning process and the relevant affairs of Fashion Information Providers, using the qualitative research method. This study was performed by interview with 14 fashion information planning providers from April to May in 2007. In the information planning process, there were five steps on fashion information providers' recognitions of stressors: information gathering, analysing, planning, presenting and evaluating. In the relevant affairs of fashion information activities, job stressors consisted of task related stressors, role related stressors, organization related stressors, personal characteristics, and outsides of organization related stressors.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• 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 Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.19-29
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• 2004

The current fashion market is experiencing a lot of difficulties in fashion forecasting due to consumers' fast-changing lifestyle on fashion, changes in consumer behavior, and the segmentation of the fashion market. To cope with this harsh reality, many fashion enterprises have paid much attention to the SPA (Specialty Retailer's Store of Private Label Apparel) brand as a promising fashion marketing strategy in terms of which they can survive in the extremely competing fashion market. The SPA brand is in the stage of inception in Korea, but the SPA brands such as MUJI and UNIQLO are already dominating the fashion business in Japan. Korea has just started developing the SPA brand, but its technological development, which was triggered by the success of 'BASIC HOUSE', is rapidly evolving. Under these circumstances, the SPA brand is getting vital for the fashion market in efficiently realizing consumers' requirements, revolutionizing the method for providing product information and the process of Marketing Mix Program, and expressing the value of shop. This paper studies the nature of the SPA brand and fashion merchandising system, and in turn examine the differences between the visual merchandising of the existing fashion brands and the Japanese SPA brands that are used as the fashion marketing strategy which is driven by the up-to-date technological system. Centering around these issues, we propose a visual merchandising system for fashion enterprises which serves to develop Korean-style SPA brands.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.3
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• pp.291-298
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• 2014

Demand forecasting plays a key role in overall business activities such as production planning, distribution management, and inventory management. Especially, for a fast-changing environment of the clothing industry, logical forecasting techniques are required. In this study, we propose a procedure to predict product life cycle using data mining algorithms. The proposed procedure involves three steps : extracting key variables from profiles, clustering, and classification. The effectiveness and applicability of the proposed procedure were demonstrated through a real data from a leading clothing company in Korea.

• Journal of Fashion Business
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• v.6 no.2
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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.

• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.369-378
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• 2018

This study started with the need for transition to competency-based education as well as the witness of fast changes in fashion industry's job environment. The goals of this study were (1) to explore fashion designers' competencies that are necessary for a successful careers in global fashion industry, and (2) to establish fashion designer competency model. In-depth individual interviews were conducted with 15 participants who have charged for design department and moreover have shown high performance in national, licence or designer brands in Korea fashion industry. Grounded theory was adopted to analyze data. As a result of analysis, the 4 core competencies emerged: problem-solving, research, inter-personal, and self-development. Each core competency has sub-competencies. Creativity, commerciality, control, decision making were sub-competencies for the problem-solving competency. Information management, innovation understanding & application, trend analysis & forecasting were sub-competencies for the research competency. Consumer, inside company, and outside company relationships were sub-competencies for the inter-personal competency. Self-awareness, self-management, expertise were sub-competencies for the self-development competency. In order to acquire these competencies, knowledge (academic, practical, multi-discipline), skills (sense, analysis, synthesis, communication), and attitude (interest, enjoyment, perseverance, personality) were essential. Based on these findings, implications for university fashion design education and further research areas were suggested.