• Journal of Fashion Business
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• v.27 no.5
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• pp.13-25
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• 2023

The implementation of ESG practices in the fashion industry has been accelerating, and its significance has been growing across all industries. This paper aims to examine the strategies for ESG implementation in domestic fashion brands and analyze how ESG principles are applied in the context of domestic conscious fashion. To analyze conscious fashion as a means of ESG implementation, the evaluation criteria of ESG from the Textile Fashion Policy Research Institute were utilized as analytical tools. As a result, five categories of domestic conscious fashion emerged: animal-free vegan fashion, eco-friendly plant-based vegan materials, upcycled fashion, regenerated fiber fashion utilizing waste materials, and fair trade fashion. The characteristics of these ESG practices in conscious fashion were identified with four key features. Firstly, the adoption of environmentally friendly materials demonstrates a tendency towards resource conservation, minimizing environmental degradation, and protecting ecosystems. Secondly, technology-driven circular practices are predominant in vegan and upcycled types, evident in the development of fashion materials and secondhand content. Thirdly, design practices based on scarcity incorporate characteristics of upcycling and fair trade. Lastly, the practices of social and ethical values underlie the philosophies of three types of conscious fashion. With the acceleration of ESG practices in the fashion industry and the increasing importance thereof, it is expected that domestic conscious fashion in South Korea will diversify in the future.

• Journal of Fashion Business
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• v.27 no.5
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• pp.78-92
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• 2023

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

• Archives of design research
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• v.18 no.4 s.62
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• pp.195-204
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• 2005

This study was peformed to systematize the concept of taste being recognized as new cultural values, as well as to ascertain the looks and aesthetical values presented in modern fashion in terms of taste. Taste is the life style being pursued individually, a preference and the important factor that characterizes each individual among contemporaries. In particular, the fashion is an important means able to differentiate respective tastes. The taste-based looks including; the dandy-look, the kitsch-look, fetish-look, the grotesque-look, and the kidult-look, etc. are reviewed as cases. Those are well expressing the phases of each times. The looks reflecting contemporaries' various tastes, are symbolic means showing the positive expectations on the present and the future. The looks are unifying fashion and society, and the designers are able to be key roles satisfying customer's taste by presenting of their collections. It is expected that the outcome of this study may provide academic basis of the tastes and a framework of interpretation of the tastes and fashion looks within culture by the aesthetical values presented as fashion.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.99-99
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• 2012

소비자의 기호가 다양화되면서 다품종 소량생산에 따른 대량 맞춤화에 대한 관심이 높아지고 있으며, 1990년대 후반부터 급격히 확산되고 있는 인터넷의 발달 및 디지털 기기의 확산에 따라 인터넷을 기반으로 한 전자상거래 환경에서의 대량 맞춤화 프로세스는 최근 의류 분야에서 주요한 경향으로 받아들여지고 있다. 대량 맞춤화 의류 제품의 수요는 인터넷 등 IT 기술의 발달과 맞물려 최근 개인의 특성과 취향을 고려한 인터넷 맞춤서비스를 기반으로 증가추세에 있으며, CAD 등의 테크놀러지의 활용을 통하여 디자인, 패턴제작, 재단 등의 자동 시스템을 도입함으로써 그 영역을 확장하고 있다. 이에 발맞추어 국내에서는 '디지털 패션 시스템'을 통해 3차원 바디 스캔, 3차원 컴퓨터 그래픽스, 3차원 Simulation, DID, DTP, 맞춤주문형 제품의 대량 생산기술 등의 단위 기술이 기업단위로 활용되는 등 가상현실을 이용한 3차원 가상쇼핑 등을 포함하는 기술로서 차세대 섬유패션 산업의 창출에 기여하고 있다. 그 중, 디지털 텍스타일 프린팅은 디자인에서부터 날염까지 전체 공정을 컴퓨터로 처리하여 기존의 복잡한 날염 공정을 단축하여 다품종 소량생산이 가능한 날염 방식으로, 대량 맞춤형 프로세스를 지원하며, 프로슈머(prosumer)로서의 소비자가 직접 참여하여 그들의 욕구를 최대화 할 수 있는 소비자 만족을 극대화 시킬 수 있는 대량 맞춤화 프로세스 중 하나의 단계로 소비자의 수요 반영하는 요소로 작용하고 있다. 즉, 디지털 패션 시스템에서의 디지털 텍스타일 프린팅은 대량 맞춤형 의류 제품에 있어 소비자 만족도와 직결되는 요인으로 분석된다. 따라서, 본 연구에서는 디지털 패션 시스템 기반의 대량맞춤형 섬유제품 및 디지털 텍스타일 프린팅 적용 섬유제품에 대한 기초 평가 문항을 제시하고, 소비자 태도를 분석하여 제시하였다. 또한, 분석된 기초 소비자 태도를 반영하여, 디지털 패션 시스템 기반의 디지털 텍스타일 프린팅(Digital Textile Printing) 의류 제품의 선호도, 인지도, 수요도 및 구입의향을 분석하여 최종적으로 디지털 패션 시스템에 적용된 디지털 텍스타일 프린팅 의류 제품의 수요 경향을 제시하였다.

• Journal of Fashion Business
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• v.13 no.4
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• pp.1-20
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• 2009

The main investigation of this thesis is about the comparative analysis of the fashion style preferences in the ages of 20-30 women, according to the style, by researching the area of Dalian and Seoul, represented as outstanding fashion cities in north eastern area. Both taking pictures and recording camcoders were performed at the famous fashion street in Seoul and Dalian. The period of investigation was from 24th of July to 2nd of August 2008. The result of research are as follows. Generally, the casual style was predominant in both area. The jean casual in Seoul was somewhat tidy and conservative, while that in Dalian showed the tendency of boldly exposed their body. In terms of easy casual, T-shirts and mini-tight skirt were preferred in Seoul, while T-shirts and midi-flare skirt was popular in Dalian. In Seoul, the blouse and mini skirt were in vogue, while one-piece dress, blouse and 5/7/9 length pants were prevalent in Dalian, in case of romantic style. The sports casual was relatively low in frequency in both areas, however, it was relatively more popular in Dalian than in Seoul. The frequency of classic style was similar in both areas. The T-shirts/blouse and Chanel-line skirt were preferred in Seoul, while the combination of jacket/shirts and full-length straight pants were preferred in Dalian. The one-piece dress was predominant in feminine style, the combination of mini one-piece dress and shoulder bag prevalent in Seoul, while the combination of Chanel-line one-piece dress designed as boldly exposed body was popular in Dalian, which shows the tendency of sexy, feminine style. The clear contrast or differences of street styles in Seoul and Dalian would become evident by this research. The continuous investigations into the various regions of China would be expected as an important measure for the successful launching into the Chinese fashion market.

• Journal of Fashion Business
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• v.23 no.5
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• pp.1-18
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• 2019

The purpose of this study is to analyze the Muslim fashion that has recently appeared in the global fashion collection to see how the global fashion brand expresses Muslim's traditional costumes so as to provide references in design development to prepare for the larger Muslim fashion market in the future. In order to analyze Muslim fashion, keywords related to Muslims such as "Muslim," "Islamic fashion" and "hijab" were searched on Google, Samsung Design Net and Vogue websites, and a total of 370 fashion photos were selected for the final data, which was judged to reflect Muslim fashion styles after a review by four clothing experts. Muslim fashion styles have the following characteristics: Above all, the use of veils was most noticeable, with many T-shaped loose long tunic dresses. The hijab, which had the highest proportion of veils, was used to produce various images with wide range of materials and colors. Achromatic colors were the most common, but more than three colors were used to create an exotic image. There have also been cases of using direct religious images such as arabesque patterns and mosques and Muslim priests. As a final, Muslim fashion styles were studied follow: first, a unique style using a veil. Second, conservative style with minimal exposure, third, restrained long-and-lose fit style, fourth, exotic style by elaborate pattern. The domestic fashion industry is also expected to generate economic demand if it is designed with reference to such collection trends along with market research on Muslim consumers.

• Journal of Fashion Business
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• v.23 no.4
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• pp.112-126
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• 2019

The objective of this study was to investigate visual elements of steampunk fashion and provide base line data for innovative fashion design ideas and products. We investigated design characteristics of steampunk fashion style shown in 3 movies and 3 animations. Based on the investigation, the research drew intrinsic value of steampunk fashion from three brands 'Vivienne Westwood', 'Dolce & Gabbana' and 'Alexander McQueen'. As the research analyzed movies and animations revealing steampunk style, various characteristics were found and assorted into similar categories. Subcategories of steampunk fashion are pluralism, rebellion and heterogeneity. The followings are result of analyzing three designer collection listed above. First, steampunk fashion made by designers used various color and materials to express multi-pluralistic(multiplicity) characteristic. Second, fashion style in collections revealed artistic and experimental design. This adventurous and innovative characteristic is categorized as rebellion feature. Third, steampunk fashion style used mix-match of unexpected materials or unbalanced silhouette to create a complete fashion style by combining styles in duplicity which could've lack harmony. Intrinsic value of steampunk is defined as graffiti of 19th century's science technology and utopia spirit. Longing for past and fantasy was expressed into fashion. Steampunk fashion wants to escape reality and tries to recreate history of the past faded away with technological development. It defines steampunk as freedom, deviation and fantastical utopia in positive point of view. Furthermore, aesthetic implication of steampunk style found in this research can make a boundary of steampunk style clear and become reference for future researches regarding steampunk fashion.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.111-119
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• 2022

The purpose of this paper is to examine the change in perception of 3D virtual fashion before and after COVID-19 using big data analysis. The data collection period is from January 1, 2017, before the outbreak of COVID-19, to October 30, 2022, after the outbreak. Big data was collected for key words related to 3D virtual fashion extracted from social media such as Naver, Daum, Google, and YouTube using Textom. After the collected words were refined, word cloud, word frequency, connection centrality, network visualization, and CONCOR analysis were performed. As a result of extracting and analyzing 32,461 words with 3D virtual fashion as a keyword, the frequency and centrality of fashion, virtual, and technology appeared the highest, and the frequency of appearance of digital, design, clothing, utilization, and manufacturing was also high. Through this, it was found that 3D virtual fashion is being used throughout the industry along with the development of technology. In particular, the key words that stand out the most after COVID-19 are metaverse and 3D education, which are in high demand in the fashion industry.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.265-275
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• 2022

This study analyzes and categorizes the cases of military look's transitional design ideas in recent women's fashion collections, and derives characteristics. The research method is a theoretical review of military look and an analysis of fashion collection cases. The research results were classified into a total of six transformational design ideas. As a structural change in design, it is a decentralized type, a type of expansion and reduction, a change in the entire material, or a transition of some materials, and finally a type according to heterogeneous harmony and organic combination corresponding to styling. Finally, a total of three characteristics are the reconstruction of structural elements, the expansion of the metric of the second mix match, and the emotional fusion of styling. I hope that the study of the transformative type of idea of the new military look will be the driving force for creative design development and will be a basic study that can read the current status and changes of the times throughout fashion design.

• Smart Media Journal
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• v.13 no.4
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• pp.57-64
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• 2024

Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.