In a situation where the importance of eco-friendly fashion is growing, this study adds to the needed research by analyzing consumption value satisfaction factors, brand image, and repurchase intentions of eco-friendly fashion products. During the investigation, the impact of gender was also accounted for to establish an effective marketing strategy. In June 2024, 250 surveys were evaluated from domestic consumers with experience purchasing eco-friendly fashion products. Descriptive statistical analysis, factor analysis, reliability analysis, and regression analysis were performed. Five factors were measured to determine satisfaction with the consumption value of eco-friendly fashion products: emotional value, functional value, social and situational value, passive value, and rare and eco-friendly value. Empirically subdividing satisfaction with eco-friendly fashion as recognized by consumers reveals meaningful findings about consumption value. Among the factors of consumption value satisfaction with eco-friendly fashion products, functional value, social and situational value, and rare and eco-friendly value all positively affected repurchase intention. The consumer’s gender also made a difference in satisfaction. Considering these results, the marketing effect of eco-friendly fashion can be increased. This study will be able to increase the ESG management effect of fashion companies. By performing ESG management, the fashion industry can achieve social and environmental responsibility along with sustainable growth.

This study investigates consumer experiences and word-of-mouth (WOM) intentions in luxury brand pop-up stores, including standalone and department store setups. Grounded in experience economy theory, this study examines the experiential elements based on the types of pop-up stores and the relationships among consumer experience, pop-up store image, and WOM intentions for each type. Data were collected from 300 visitors to luxury brand pop-up stores between January and July 2023 and analyzed using Smart PLS 4.0. The findings reveal several key insights. First, standalone pop-up stores offer educational and escapist experiences, while pop-ups within department stores have a single identified factor of consumer experience. Second, regardless of the store type, luxury pop-up store experiences significantly influence pop-up image perceptions. Third, luxury pop-up store image drives WOM intentions for both standalone and department store pop-ups. Notably, the unique image significantly impacts solely department store pop-ups and does not influence standalone pop-ups. Moreover, image perceptions in both pop-up store types do not significantly affect brand WOM intentions. Finally, WOM intentions for pop-up stores significantly influence WOM intentions for brands. This study contributes to the theoretical understanding of consumer experiences in luxury pop-up stores, providing practical insights for stakeholders in the luxury brand industry to enhance pop-up store image perceptions and WOM intentions.

The changing media landscape has diversified how and what is discussed about fashion. This study aims to examine expert discussions about fashion shows on social media from the perspective of fashion criticism. To achieve this goal objectively, a text mining program, Leximancer, was used. In total, 58 videos were collected from the panel discussion section of Showstudio from S/S 21 to S/S 24, and the results of text mining on 24,080 collected texts after refinement are detailed here. First, the researchers examined the frequency of keywords by season. This revealed that in 2021–2022, digital transformation, diversity, and fashion films are now commonly used to promote fashion collections, often replacing traditional catwalk shows. From 2023, sustainability and virtuality appeared more frequently, and fashion brands focused on storytelling to communicate seasonal concepts. In S/S 2024, the rise of luxury brand keywords and an increased focus on consumption has been evident. This suggests that it is influenced by social and cultural phenomena. Second, the overall keywords were analyzed and categorized into five concepts: formal descriptions and explanations of the collection’s outfits, sociocultural evaluations of fashion shows and designers, assessments of the commerciality and sustainability of the current fashion industry, interpretations of fashion presentations, and discussions of the role of fashion shows in the future. The significance of this study lies in its identification of the specificity of contemporary fashion criticism and its objective approach to critical research.

본 연구에서는 최근 패션산업 내에서 등장하였던 AR 사례들을 제품과 착용자, 공간을 기준으로 그리고 활용 목적 이나 용도를 기준으로 분류하여 분석하였다. 국내외 포털(구글, 네이버 등) 및 연구논문에서 분석되었던 패션산업 내에서의 AR기술 활용 사례들을 76개를 수집하여 분석하였다. 연구결과는 다음과 같다. 패션산업 내 AR 사례들은 제품 및 착용자, 공간의 측면에서 모두 실제 및 가상, 실제와 가상의 혼합 형태과 다양하게 활용되고 있었다. 활용 용도 측면에서도 디자인 및 상품개발, 마케팅 및 홍보, 패션쇼, 시착, 온라인 및 오프라인 판매 및 유통 등을 위해 다양하고 창의적으로 활용되고 있었다. 특히 AR 기술을 통해 패션제품의 범주, 패션쇼의 개념, 시착의 방식, 마케팅 과 홍보 툴, 판매 툴 등이 기존의 틀에서 더욱 창의적으로 확장되고 있음을 확인할 수 있었다. 향후 패션산업 내의 포용적 성장을 위해서 기술적 준비도나 자본, 연령 등에 따른 AR기술 활용 등의 디지털 격차를 해소하는데 정부 및 지자체, 대기업 등이 함께 그 방안을 마련해야 한다.

Although interest in eco-friendly fashion products is increasing among scholars and industry leaders, the concept of eco-friendly products remains unclear, preventing consistent assessment of which fashion products are eco-friendly. This study conducted a content analysis of eco-friendly product information from 87 domestic and 102 foreign brands to reveal key standards for categorizing eco-friendly fashion products. Product characteristic information was coded according to the four material-based standards (i.e., organic material, regenerative material, alternative material, and sustainably produced/upcycled material). Consistency between coders was confirmed by Cohen’s kappa. In results, eco-friendly fashion products are categorized by four material-based standards and two certification standards (i.e., certified, not certified). Among the four material-based categories, the greatest number of domestic and foreign companies produced eco-friendly products that were classified as the regenerative material group. In addition, companies acquired eco-friendly certifications related to the use of organic, regenerative, and alternative materials. The greatest number of eco-friendly material brands used for eco-friendly fashion products belonged to the regenerative material group. Based on the study results, a typology of eco-friendly products was suggested. This typology can benefit practitioners and academics by highlighting a need for classification system for the eco-friendly fashion products, as well as by providing insight into the categorization of eco-friendly fashion products.

본 연구는 패션 산업현장에서 발생하는 실제 문제 해결을 위해 필요한 지식을 자기 주도적으로 학습하고, 이를 실제 상황에서 적용하여 협업을 통한 창의적인 문제 해결 능력을 습득할 수 있는 PBL 기반 디자이씽킹 을 활용한 패션디자인 수업모델을 제안하는 것을 목적으로 하고 있다. 연구 내용은 PBL과 디자인씽킹의 핵심 요소들을 융합한 DT-PBL 모델 을 적용한 수업을 설계하고 부마민주항쟁 기념상품개발이라는 실제적인 시나리오를 중심으로 문제해결안을 도출해가는 수업 과정을 운영하였다. 수업 운영 결과, 학습자는 자기 주도적 학습 활동을 진행하는 과정에서 소통과 협업 능력을 발휘하여 창의적인 문제해결안을 도출하는 역량이 향상되는 학습 성과를 확인할 수 있었다. 따라서, DT-PBL은 패션 관련 전공 PBL 교과목 수업 설계 시 디자인씽킹을 활용하여 패션산업 현장의 실무를 창의적이고 자기 주도적으로 문제해결안을 도출할 수 있는 효율 적인 패션디자인 수업모델과 수업사례로 활용될 수 있기를 기대한다.

The study aimed to investigate the factors influencing genderless fashion preferences. The questionnaires were collected from men and women participants aged 20 to 49 living in Seoul City and Gyeonggi Province. Data analysis involved factor analysis, t-test, ANOVA, and regression analysis. The findings revealed that genderless fashion preference comprised four factors, namely individuality pursuit, deviation from norms, fashion pursuit, and social recognition pursuit. Self-esteem encompassed two factors positive self-esteem, and negative self-esteem. while sociocultural attitude toward appearance consisted internalization, and awareness. Second, positive self-esteem significantly influenced individuality pursuit and deviation from norms in genderless preference factors. Third, sociocultural attitude toward appearance had a significant effect on genderless fashion preference, with awareness particularly exerting a significant effect on individuality pursuit, fashion pursuit, and social recognition pursuit. Fourth, genderless fashion preferences exhibited differences based on gender role identity in factors such as individual pursuit, norm avoidance, and trend pursuit. Lastly, demographic characteristics such as age, education, occupation, and monthly income revealed significant differences in genderless fashion preferences. From the results of the study, it was found that consumers perceived individuality pursuit, fashion pursuit, and social recognition pursuit as important influencing factors of genderless fashion preferences. In addition, it is necessary to create an independent brand identity by developing various items to express consumers’ individuality, differentiated brand concepts from other brands, and store displays.

The online shopping market is expanding, with online shopping malls now subdivided into personal computer(PC) and mobile versions. Meanwhile, various efforts to promote online sales are being carried out in a bid to improve performance, and detailed research is required to inform such strategies. The purpose of this study was to classify online shopping mall types into PC fashion malls and mobile fashion malls with the aim of assessing sales promotion satisfaction and investigating the relationship between sales promotion satisfaction and consumers’ behavioral intentions. Data were collected by a survey firm in June 2023, and 248 copies of the data were used for analysis. SPSS 28.0 was used to process the data, and frequency analysis, factor analysis, reliability analysis, and regression analysis were performed. The satisfaction factors for various sales promotions used by PC and mobile fashion shopping malls were empirically subdivided in consideration of consumer perspectives, and potentially effective marketing strategies were presented. Differences were observed in the type of satisfaction with sales promotion between PC fashion shopping malls and mobile fashion shopping malls and in the effect of sales promotion satisfaction on behavioral intention. Based on the study’s findings, effective sales promotion strategies that can increase satisfaction and enhance behavioral intention may be developed and implemented through the use of various and different sales promotion strategies in PC and mobile fashion shopping malls.

This research not only determined the preference of fashion brand distribution channels of active Korean and Chinese seniors who became major consumers in the fashion industry, but also analyzed the effect on these preferences and choices of distribution channels depending on personal consumption characteristics and differences between the two groups. Data was collected by a professional survey firm. SPSS 24.0 and AMOS 24.0 were used for empirical analysis, and frequency analysis, multiple response analysis, EFA, reliability analysis, CFA, SEM, and multiple-group comparison analysis were performed. As a result of multiple response analysis, the offline channel was revealed as the preferred fashion distribution channel for active Korean and Chinese seniors; the second most popular was the online channel. The results of multiple-group comparison analysis reveal differences between two groups in seeking emotional consumption via the offline channel; the effect was only evident for active Korean seniors. A difference in seeking emotional consumption via preference for online channel also existed, but only for active Chinese seniors. For these reasons, marketers targeting active Korean seniors will be effective to not only offer brand information by fashion display to let seniors understand the fashion brand, but also to have brand events to form positive emotions toward the fashion brand. Moreover, targeting active Chinese seniors will be necessary to transmit brand sensibility by utilizing metaverse marketing comprising various factors, so that consumers can enjoy the fashion brand.

The pataphysics implemented by digital technology differs from the form of objects in the real world and is used throughout the cultural industry. This study aims to analyze the expression method of pataphysics as applied to modern fashion and derive its impact on the fashion industry. The research analyzes fashion images, shows, films, displays, and e-commerce, since 2016, when pataphysics began to be used in the fashion domain. Pataphysics, created by Alfred Zaire, appeared as an overlapping phenomenon that reflects physical phenomena in the virtual world. The expression method of pataphysics applied to modern fashion was divided into an augmented reality method based on immersion and interaction, a virtual platform-oriented metaverse, and a virtual model expressing a processed self. The influence of pataphysics applied to modern fashion is as follows. In the field of design, pataphysics affects the development of contemplative designs for innovation and creativity. Second, digital technology can expand the role of fashion at the intersection of art and fashion that takes a novel perspective through pataphysics. Third, e-commerce positively affects efficient production and consumption through virtual and economic models. In conclusion, this study’s findings are expected to play a positive role in promoting creativity and innovation by introducing new perspectives and ideas into modern fashion through pataphysics.

This study conducted in-depth interviews with experts to implement Hanbok shows on metaverse, which can contribute to the succession and development of Hanbok design and to establish a platform that fits the reality of the Hanbok industry and consumers. In-depth interviews were conducted to collect opinions from experts, and the derived contents were divided and analyzed using an affinity diagram. Experts were positive about the use of the metaverse platform of the Hanbok show in terms of impact, accessibility, exposure, virtual fitting, issuance of NFTs, and promotion of Hanbok brands. As a result of verifying the validity of the four components of metaverse, experts highly evaluated the possibility of using Hanbok shows in the order of virtual reality, augmented reality, mirror world, and lifelogging. Visuality, influence, marketing efficiency in virtual reality, immersion in augmented reality, fantasy and artistic elements, expression, diversity, and abundant experiences were expected. The platform’s requirements emphasized realistic implementation equipment and technology, collaboration between Hanbok designers and producers, in addition to government support. Results of this study showed that appropriate target was analyzed to be in the 10–30s, and the appropriate price range was found to be able to sell at a discount of 40–80% compared to offline. This study provides useful implications for the service development of metaverse content, which will also be actively used in the Hanbok field, and can be used as basic data for reviving the Korean Hanbok industry and strengthening international competitiveness.

지능형 컴퓨팅의 등장으로 빅데이터를 활용한 패션 브랜드 의미 마이닝과 가치 홍보에 초점을 맞춘 새로운 연구 트렌드가 등장하였다. 본 연구의 목적은 인기 여성복 브랜드 5개를 대상으로 다양한 종류의 의류에 대한 소비자 감성 트렌드를 조사하는 것이다. 유니클로, 에이치스타일, 베로모다, 피스버드, 온리. 이를 위해 총 93,550건의 소비자 평가를 수집하고, 키스멧 감성 분석 엔진을 활용하여 의류 유형별 감성 극성도를 분석하였 다. 그 결과, 브랜드에 따라 감정 극성이 크게 다르다는 것을 알 수 있었으며, HSTYLE 후드티, ONLY 니트웨 어, 피스버드 순면, 유니클로 니트가 각각 소비자들에게 가장 강한 긍정적 감정을 불러일으켰다. 또한 이번 연 구에서는 각 브랜드에서 가장 인기 있는 의류 유형과 착용 효과를 밝혀 패션 기업이 효과적인 마케팅 전략을 수립하고 제품 제공을 강화하는 데 중요한 인사이트를 제공했다. 이러한 연구 결과를 바탕으로 게임 업계에서 는 감성 분석을 적용하여 다양한 게임 브랜드, 장르, 게임 플레이에 대한 플레이어의 감정 반응을 이해하고 게임 프로모션 전략과 제품 디자인 개발에 도움을 줄 수 있다. 전반적으로 이 연구 결과는 디자인 분야에서 빅데이터의 잠재력을 입증하고 업계에서 경쟁 우위를 확보하기 위해 빅데이터를 활용하는 것이 중요하다는 점을 강조할 수 있다.

This study examines how the concept of gender fluidity—viewing gender identity as a fluid and wide spectrum—is represented in modern knit fashion collections. The period spring/summer 2017–fall/winter 2021, when gender-related fashion keywords started attracting attention, was limited to the last five years, and the results of a case analysis focused on a total of 357 knit fashion photos are as follows. First, the androgynous compromise through the mixing of heterogeneous elements appears as a mix-and-match style due to the patchwork of heterogeneous materials and forms that borrow or share masculinity and femininity. Second, it was confirmed that the dismantling exaggeration caused by the destruction of the size and form of clothes was an avant-garde image that exaggerated the size or length of clothes or destroyed ideas and forms. Third, the exposed sensuality caused by the deformation of the fluid knitting technique was shown in the form of proudly expressing sexuality by exposing the body either using the cut-out technique or through the loose texture of the knit. Knit fashion can highlight decorative effects using handcrafted techniques and express a detailed or coarse sense of organization depending on the density. In addition, since it is possible to create a complex image by juxtaposing and mixing various knit structures, it was confirmed that it is a suitable material for expressing gender fluidity flowing between men and women in fashion.

The purpose of this study is to suggest effective online pedagogical strategies for a fashion design CAD course to enhance student learning and satisfaction. The study investigated student experience of online learning and compared online learning with a face-to-face learning experience. Student concentration, participation, perceptions of effectiveness of teaching, utilization of learning materials, and satisfaction were analyzed using a 5-point Likert scale. Advantages and disadvantages of online learning as well as advantages of face-to-face learning were also analyzed both quantitatively and qualitatively. Student concentration, participation, and perception of effectiveness of teaching were greater for face-to-face learning with significantly higher concentration on individual practice. Students utilized video recording of synchronous online lectures more actively than PDF lecture notes. The advantages of face-to-face learning were plentiful communication and feedback and easy questioning process as well as high levels of understanding and concentration. Meanwhile, major disadvantages of online learning were the speed of the lecture, lower levels of understanding and concentration, limited peer interaction, and technical problems. Major advantages of online learning were flexibility and convenience, repetitive learning through videos, and instant communication and feedback. Students preferred a blended learning approach for the fashion design CAD course. For effective online learning, it is suggested that instructors frequently question and check student practice through screen share in a private online meeting room and engage activities that are demanding of student interaction. The video recording of synchronous online lectures is also suggested as a supplemental learning material for repetitive learning.

Global fashion houses have recently incorporated traditional Korean motifs within their inspiration. This trend is an opportunity to showcase the colors of traditional Korean culture by investing in the new design content. Products specifically based on traditional Korean culture are lacking in brand awareness despite the success of Korean content. Accordingly, this study designs cultural products based on Korean folk painting that captures Korean people’s satirical sense of humor. Korean folk painting theories are analyzed, from which different types of folk paintings are classified based on research of bibliographies and online documents. Following classification, the results are dataized as different types of folk paintings and their meanings. Furthermore, images of folk paintings are categorized and scanned digitally. The digitized images of the folk paintings are processed through Adobe Photoshop CS for overall layout and Adobe Illustrator CS for detailed designs. Traditional categories of Korean folk paintings are used, including flowers and birds, letters, and study stationery. Using the main elements of the flower and birds category, designs with cultural products such as images of flowers, birds, animals, and fish are produced. The final designs are used to create fashion items that can easily be used for embellishment or self-presentation: a scarf and a necktie. The scarf and the necktie are not only merchandise; they also symbolize the story, humor, and hope that Korean folk paintings once symbolized.

본 연구에서는 온라인 패션시장에서 소호 패션쇼핑몰의 성공적 창업의 성장 과정을 알아보기 위해 현재 성공적으 로 운영되고 있는 4개 소호 패션쇼핑몰을 대상으로 기업가 과정을 창업기회포착, 사업모델, 위기관리 및 사업성과 등 3개 단계로 구분하여 분석하였다. 사례연구의 결과는 다음과 같다. S사는 짧은 경력의 창업자가 패션감각과 기업 가정신으로 전자상거래를 창업한, 가격경쟁력과 디자인력, 다양한 상품구색을 갖춘 캐주얼 쇼핑몰로 데이터 관리/분 석, 유통채널 다각화를 통해 성장한 사례이다. B사는 짧은 경력의 창업자가 SNS 네트워크 역량과 기업가정신으로제조업/전자상거래를 창업한, 아이템 경쟁력과 스타트업 특성을 갖춘 컨템포러리 쇼핑몰로 브랜드 정체성 확립, 시장 확장을 통해 성장한 사례이다. M사와 C사는 보다 긴 경력의 창업자가 브랜드 인지도가 있는 소호 패션쇼핑몰 사례 이다. M사는 풍부한 경력과 디자인 정신의 창업자가 감성적/감각적 패션디자이너 브랜드를 창업하여 기업 지평을 넓히는 다양한 활동을 통해 성장하였고, C사는 디자인 역량과 기업가정신의 창업자가 감성 표현에 집중한 럭셔리 패션브랜드를 창업하여 적극적인 고객관리를 통한 브랜드인지도 및 매출 확보 등을 통해 성장한 사례이다. 본 연구 결과는 소호쇼핑몰 예비창업자나 창업과정의 교육 및 연구에서 기초자료로 활용될 수 있다.

Recent developments in information and communication technologies (ICT) can be applied in stores, and the number of fashion stores that have introduced and utilized ICT are increasing. By applying a literature review and empirical research, the types of ICT service factors of fashion stores were identified and categorized. The effect of their importance on consumer behavioral intentions was analyzed. Next, using factor analysis on the ICT service factors, five factors were identified and named as follows: smart space services, smart payment services, virtual image services, product information services, and smart access services. The importance of these factors was then analyzed. The importance of each factor and detailed questions was rated above average. After examining the effect of ICT service on behavior intention, issues such as purchase intention, revisit intention, and word of mouth intention were found to have significant influence. This study is meaningful in that it derives the importance factors of ICT services that can be used in fashion stores in a situation where retail techniques become important and expand, and provides marketing strategies related to consumer behavior according to detailed factors. With retail tech becoming more important and expanding, it is necessary to provide various services that consumers value by utilizing ICT in fashion stores. Considering the results of this study, ICT technology and services of various fashion stores can be effectively utilized and retail tech utilization performance can be improved.

The purpose of this study was to examine job competencies for sales training program development to maximize profits in fashion retailing. An empirical online survey was conducted from September to December 2019, and data was collected from 200 salespeople and store managers working in fashion stores. Results were analyzed using frequency analysis, factor analysis, variance analysis, and regression analysis with SPSS 25.0. The major findings of this study were as follows. First, the most important job competencies identified by fashion store managers were: sales sense know-how, customer service skills, and sales person’s fashion style sense, product knowledge, fashion marketing and customer management. The job competency factors for sales training programs included empathy with the customer, product knowledge, communications and networking, basic job requirement, and sales skills. These five factors positively influenced the employment intentions and expectations of work performance of graduates. These factors also had a positive influence on the need of sales training program and intention to participate in retraining. Store managers in fashion retail thought the most appropriate period for on-the-job training was either 2-4 days or more than 1 week. The results of this study can be used as a base to develop training programs for job efficiency for salespeople in fashion retailing.

The purpose of this study is to analyze how modern fashion brands practice cultural sustainability by investigating the ways they use and reinterpret traditional culture and clothing. The transmission and reinterpretation of traditional cultural elements connect the past, present, and future. These forces also lead to the development of new creativity in the fashion industry. Three brands have been selected for case studies: Danha (Korea), Mittan (Japan), and Jan Jan Van Essche (Belgium). These brands possess in-depth understanding of traditional cultural elements, including clothing, dyeing techniques, and patterns unique to various regions and minority groups. The brands all make use of traditional cultural identities whose clothing contains the historical and sentimental values of various regions and ethnic groups. The use and mixing of various cultures can be seen as the respectful preservation of global culture. Also, in contemporary fashion, the use of traditional culture plays an important role in the presentation and development of creative designs. The use of traditional handicraft techniques and the use of traditional clothing in the past convey cultural diversity to future generations; they will have a lasting influence on future fashion trends. The results of the study show that cultural sustainability in contemporary fashion has been implemented through safeguarding and respecting indigenous cultures and developing cultural elements into creative design.

The aim of this study was to analyze the semantic network structure of keywords and the visual composition of images extracted from Instagram in relation to the multipersona phenomenon with in fashion imagery, which has recently been attracting attention. To this end, the concept of a ‘secondary character’, which forms a separate identity from a ‘main character’ on various social media platforms as well as on the airwaves, was considered as the spread of multi-persona and #SecondaryCharacter on Instagram was investigated. 3,801 keywords were collected after crawling the data using Python and morphological analysis was undertaken using KoNLP. The semantic network structure was then examined by conducting a CONCOR analysis using UCINET and Netdraw to determine the top 50 keywords. The results were then classified into a total of 6 clusters. In accordance with the meaning and context of the keywords included in each cluster, group names were assigned : virtual characters, relationship with the main character, hobbies, daily record, N-job person, media and marketing. Image analysis considered the technical, compositional, and social styles of the media based on Gillian Rose’s visual analysis method. The results determined that Instagram uses fashion images that virtualize one's face to produce multi-persona representation s that show various occupations, describe different types of hobbies, and depict situations pertaining to various social roles.