• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1044-1059
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• 2013

The fashion industry has become more interested in sustainable fashion design due to the demand for environmental action based on increased social responsibility awareness and environmentalism. In the current sustainability fashion industry, guidelines for sustainable fashion design are essential. This study suggests guidelines for a sustainable design process based on a theoretical and practical approach. An analysis of several global fashion brands will be applied to the whole apparel design process. This paper will explore the sustainable fashion design process and deal with LCD, as an important factor, by analyzing three global fashion brands: 'H&M', 'NIKE', and 'Levi's'. These three companies are the most active in the area of sustainable performance. The sustainable fashion guidelines will be controlled based on a strategy of practical use in design for sustainable (DFS) fashion industry. The results indicate that the fashion industry has to invest heavily in the future rather than focus on short-term profits; consequently, sustainability is a new growth direction for fashion companies. In addition, the fashion industry should work towards sustainable design under a clear understanding of its goals.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1039-1057
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• 2022

The fashion system has been criticized for relying on a linear economy to reduce short-term costs and increase profits. Meanwhile, the circular economy strives to expand the value chain through a closed loop for companies, society, and the environment by separating consumption from resources. This study aims to elucidate the strategic characteristics of the technological measures that fashion companies and brands are trying to innovate into a sustainable fashion system on the basis of the circular economy concept. Thus, we conducted case studies by dividing the value chain of the fashion system into design, production, and consumption to identify the technological development of the circular fashion system from a technologization perspective that incorporates technological values. First, design appeared to strengthen emotional durability, design and process with circulation in mind, and fashion product digitalization. Second, production manifested itself as material development for the new fiber economy, improvement of non-environmental processes, and customization of demand-driven, responsive production. Third, consumption was the spread of the environmental consumption culture through the sharing economy platform, the realization of a virtual wearing experience to prevent rapid disposal, and the provision of information on sustainable consumption.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.475-491
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• 2023

New product development (NPD) is crucial for fashion brands as they are required to constantly innovate in product design and technology to remain competitive in the global fashion market. In this study, we investigated the co-creative new fashion product development (NFPD) process to understand its structural characteristics and examined the components of this business model through case studies. Fashion companies frequently collaborate with consumers to create unique and innovative fashion items that both satisfy consumer demand and expand their economic potential. Base on case studied involving consumer participation in NFPD, our study analyzed the structural characteristics of the co-creative NFPD process. Consequently, our investigation identified five key factors of the co-creative NFPD business model: co-value, co-creator, co-activity, co-platform, and co-partner. The co-creation approach established in this study will help advance research on new fashion strategies and provide foundational information for Korean fashion companies that are facing an increasingly competitive global market, thus making a significant contribution to the literature.

• Journal of the Korean Society of Costume
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• v.67 no.2
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• pp.131-146
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• 2017

The aim of this study is to investigate the operating characteristics of fashion start-up companies and the characteristics of their founders. For this purpose, this study surveyed fashion start-up companies via online survey in May 2015, and analyzed the data from one hundred companies. The results are as follows. First, for the characteristics of the founders, female founders constituted 65.0% and male founders 35.0%. At the time of establishment, founders aged 26-35 constituted 77.0%. Founders with less than five years of work experience made up about 80%. 82.1% of the founders participated in domestic and foreign exhibitions/fairs. 41.0% of the founders were awarded fashion contest and competition awards, and 33.3% of the founders were supported by rising designer support projects. Second, for the operating characteristics of the start-up companies, clothing at 78.0% was the most popular entrepreneurial item, and the majority targeted the age 20-30 group. 78.0% of the companies had less than 40 production styles per season, and all the enterprises had less than 5 employees. 59.0% of the companies had export experience. Exports to China, Hong Kong, and Japan accounted for 67.4% of all exports. Major distribution channels were mainly select shops(offline select shops 79.8%, online select shops 62.8%). The main methods of promotion were fashion media articles/interviews, product sponsorship, and SNS. The most preferred distribution channel was becoming a part of online/offline select shops(92.6%). Viral marketing(84.4%), star marketing and costume sponsorship(66.7%) were the most preferred method of promotion. The most preferred way to enter foreign markets was to participate in domestic and foreign exhibitions/fairs/trade shows. This study provides basic data necessary for future founders preparing to launch fashion start-up companies. It also aids fashion start-up companies in developing more advanced business operation strategies.

• International Journal of Human Ecology
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• v.2 no.1
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• pp.95-110
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• 2001

The purpose of this research is to analyze how appropriately the sizing of domestically produced children's wear compares to children's sizes; it is based on an anthropometric survey conducted in 1998. By discovering and understanding discrepancies between the sizing system of children s wear and the real size of children, this study aims to suggest solutions that will lead to increased comfort and more suitable fitting in children's clothes. This research analyzes and compares 'the extent of growth between age groups' with 'the difference in sizing system in use by manufacturers'. The study focused on aged 4 to 12 children, who are usually divided in two groups; primary students and toddlers. In total, seven sizes were selected: bust, waist, and hip (which are girth sizes), and height, back neck to waist (top length), sleeve length, and waist to ankle (slacks length) as representing length. The results of this research are analyzed by basing on the actual increments between the sizes of children's wear in certain basic items rather than sizes themselves because each size quite differed according to companies, items and designs. Significantly, the increase in the sizing was not as great as the average biennial growth rate of children. The consequences are poorer fit and unsuitable representative value for each age group because the actual sizes of children increasingly differ from the sample size. Observing the increments in several sizes, we found that 81.8% of the companies used the certain and equal increases for grading sizes in sleeve length, waist, and bust. In addition, 72.7% of the companies adopted the same increments between sizes in height and hip girth, and 63.6% also chose equal increments in T-shirt length for making smaller or bigger sizes from the sample size. However, sleeve length and pant length were the components that displayed the most varied sizing. Interestingly, the few companies that used different increments between size groups, adopted the change only between one or two size groups, instead of all sizes. In conclusion, this research reveals the unsuitability of the current sizing system and the necessity to increase consumer confidence in the size tags on children's wear by modifying the system to reflect the actual growth of children. The results can also contribute to future study on the development of a new and more accurate sizing system for children's wear.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.540-553
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• 2013

This study examined the awareness of Chinese in their 20s in regards to Korean fashion brands and brand personality; in addition, it analyzed the effect of brand personality on brand preference and purchase intention. This study investigated the differences of the brand personality effect on brand preference and purchase intention according to brand, sex, and age. The results were as follows: 1) The three highly recognized fashion brands were Teenie Weenie, E-land, and The Basic House. 2) Brand personality was comprised of factors for competence, vitality, innovation, and emotion. 3) Brand preference was affected by vitality, competence, and innovation. Purchase intention was directly affected by brand preference and brand personality factors such as vitality, competence, and innovation. 4) The effect of brand personality on brand preference and purchase intention were different according to brand, sex, and age. These results can be used as basic data or information to help fashion companies develop marketing strategies for young Chinese people.

• Proceedings of the Korean Fiber Society Conference
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• 2003.10a
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• pp.55-56
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• 2003

An old castle in a tranquil setting. At first glance, no-one would suspect that this was the backdrop for the research and services centre providing expertise from all areas of the textile-clothing supply chain, textile care and other associated sectors. The Hohenstein Institutes are a modern communications centre with the latest research equipment where highly qualified scientists carry out their research and exchange knowledge. This combination of high-calibre staff and the philosophy of the unity of research, training and application have guaranteed the Hohenstein team of their position as an internationally respected institution offering high levels of expertise in all areas of the textile-clothing chain. At the beginning of the 21st century, the team of scientists at Hohenstein made the research and development of high-tech textile and garment innovations their number one priority. They recognise a rapidly developing market for "intelligent textiles" and "Smart Clothes" capable of adapting their function to the existing environmental conditions. Clients for the research projects, which are often carried out in conjunction with other institutions and industry, are research associations, federal ministries, the European Union and numerous leading companies both in Germany and abroad. The Hohenstein Institutes dispose of four international offices at the moment: in Turkey (since 1996), USA (since 1999), Lima (since 2002) and Mexico (since 2003).

• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.127-144
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• 2006

This paper presents Web service based ASP (WS-ASP) model for QR(Quick Response) system, supply chain management system in the textiles and clothing industry. The Korean textiles and clothing industry is mostly composed of medium and small-sized companies, which are not capable of recruiting If specialists and making a large scale investment in IT. ASP model not only let them obtain QR system at relatively low usage cost, but also take higher vendor risk due to high dependency. This paper argue that WS-ASP model is appropriate for QR systems by complimenting ASP model with lower vender risk, which results from re-integrating software-on-demand services distributed to several QR specialized WS-ASP vendors.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.1
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• pp.148-158
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• 2018

This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.