• Smart Media Journal
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• v.12 no.7
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• pp.43-51
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• 2023

As online transactions increase, the image of clothing has a great influence on consumer purchasing decisions. The importance of image information for clothing materials has been emphasized, and it is important for the fashion industry to analyze clothing images and grasp the materials used. Textile materials used for clothing are difficult to identify with the naked eye, and much time and cost are consumed in sorting. This study aims to classify the materials of textiles from clothing images based on deep learning algorithms. Classifying materials can help reduce clothing production costs, increase the efficiency of the manufacturing process, and contribute to the service of recommending products of specific materials to consumers. We used machine vision-based deep learning algorithms ResNet and Vision Transformer to classify clothing images. A total of 760,949 images were collected and preprocessed to detect abnormal images. Finally, a total of 167,299 clothing images, 19 textile labels and 20 fabric labels were used. We used ResNet and Vision Transformer to classify clothing materials and compared the performance of the algorithms with the Top-k Accuracy Score metric. As a result of comparing the performance, the Vision Transformer algorithm outperforms ResNet.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.2
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• pp.192-205
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• 2011

This study analyzed the registration of patent and utility models by fashion firms in Korea. A total of 2,291 registration cases of IPC A41B-H from the period of 1996 to 2009 were collected by KIPRIS of the Korean Intellectual Property Organization (KIPO). All cases were analyzed by year to review the longitudinal trend and 481 cases of IPC A41B (shirts, underwear, baby linen, and handkerchiefs) and 1088 cases of IPC A41D (outerwear, protective garments, and accessories) were analyzed by content (provided benefit type and developing method), by detailed product items and the characteristics of the applicant. The results of this study were as follows: 1) Registration of IPC 41 increased steeply by the year (especially since 2006) and the patent registrations increased more than those in the utility model. 2) Analyzing the application content of A41B on the basis of benefit showed that 75% were to provide new functions and the rest were for health. In terms of the developing method, 83% of benefit provided by the application were by design development, 11.2% were by material, and the rest was by process, In the cases of IPC A41D, 23.6% were for safety and protection. In terms of the developing method, the process and material development were more frequently adopted than in the cases of A41B. 3) The major product types of A41B were socks, underwear, and infant wear, whereas gloves and parts of clothing were major items in A41D. 4) In terms of the characteristics of the applicant, registration by firms was greater for patents than for utility models and registration by foreigners increased in 2006 due to the complete opening of the retail market. 5) Fifteen universities registered for a total 57 cases and major applications were for IT related clothing or high-tech protective items.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.378-391
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• 2017

The application of Big Data has been introduced to the Korean fashion industry; however, the literature has not yet investigated how well high technologies are being perceived and adopted by the practitioners of fashion companies. Recognizing the lack of research, the current research explores how big data analysis has been adopted by fashion practitioners based on the Technology Acceptance Model (TAM) that considers the effect of organizational characteristics (i.e., innovation, slack, and IS infra maturity). First, all TAM relationships were accepted as significant; however, the effect of perceived ease of use on the attitude toward big data was greater than perceived usefulness. Regarding organizational characteristics, while organization innovation had positive impacts on perceived usefulness as well as perceived ease of use, organization slack did not show significant and positive influence on perceived ease of use only. On the other hand, IS infra maturity had a negative effect on perceived usefulness while it did not have any significant impact on perceived ease of use. Finally, the level of perceived usefulness is decreasing as the IS infra of the fashion organization becomes more mature. With the results, the study suggested that fashion industry needs more education on the usage of big data analysis systems and development in related analysis tools.

• Journal of Fashion Business
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• v.23 no.1
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• pp.37-48
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• 2019

WKSF (Warp-knitted spacer fabrics) knitted using a double Raschel machine is the three-dimensional knit that has vertically connected separate layers in loop structures. Because of its unique structure, the fabric is light, compressible and breathable. Owing to the high production speed, the use of the fabric is increasing in various areas. The purpose of this study is to establish the design process in the utilization of WKSF program and analyze the difference between WKSF and Neoprene as garment materials.. The study on the design related to WKSF has rarely been carried out because of the complexity of WKSF structure and the difficulties encountered in analyzing the structure and thread. Therefore, checking beforehand the simulation results similar to a final knit using the CAD program for WKSF can only enhance the efficiency of the design for the light knits. The conclusion drawn after designing the light knits using the CAD program and analyzing the pros and cons of WKSF through the various property evaluation techniques is as follows. The tension characteristic analysis results indicated that Neoprene specimen has the elastic transformation and resilience, thus behaving like an elastic product such as rubber. By contrast, in the event that clothing and fashion accessories are designed with WKSF, these products are kept in a boxy style fit so that the fabric can be applied flexibly to a curvy body line. In addition, WKSF is good in forming noticeably around a curvy body, because its resistance shear deformation is lower than that of Neoprene.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.1
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• pp.87-102
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• 2021

The purpose of this study is to consider effective digital marketing strategies through analysis of luxury fashion brands. This study conducted both quantitative analysis and case studies of the brands Louis Vuitton, Gucci, Burberry, and Chanel. To measure the brand image of the luxury fashion brands, the survey was distributed to Millennials, and total of 277 responses were used for the final analysis by using SPSS 25.0 statistical program. Other than survey, this paper analyzed digital marketing strategies of luxury fashion brands through brand-related papers, website and social media of each brand, Samsung Designnet's database, and news posted on search engines. The results of this study are as follows: First, according to the result of examining brand image of luxury fashion brands, there was no significant difference between brands, except Gucci. Second, this study analyzed each luxury fashion brand to understand the characteristics of digital marketing, and common characteristics were identified. Third, by analyzing the brand image and digital marketing strategies of luxury fashion brands, it was confirmed that Gucci's brand image and digital marketing strategies were consistent, while there was a difference between Burberry's brand image and digital marketing strategy. Therefore, this article proposes the following digital marketing strategies that are suitable for luxury fashion brands. First, is the connection of on/offline channels. Second, is the use of AI technology. Third, is a blockchain-based platform.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.79-94
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• 2015

The purpose of this study is to analyze the emotion and sensibility of fashion words in terms of words types, such as loanword and Korean words, Hangul in fashion product label and fashion manufacturing industry. We surveyed 200 persons in their 20s using the questionnaire on the stimulus of product tag label and fashion words with 15 adjectives. Based on daily usage of foreign words in fashion market, we selected 1 item label in 3 forms: 1) Hangul label written in loan words 2) Label written in English and 3) Label written in Hangul and 3 fashion words in 2 forms 1) loanword and 2) Hangul. And the label types and fashion words were analyzed and investigated in terms of consumer's sensibility, preferences and estimated product price. The results are following: consumers preferred loanword label than Hangul label, and they preferred loanword in English than that in Korean. They evaluated loanword more positively, such as refinement, gorgeous and elegant, etc. and estimated the product price of loanword label as higher. But in the sensibility of 'familiar' and 'stability', Hangul label was not significantly different to loanword written in Hangul. That is, label written in English is the highest in all the evaluation, and loanword label written in Hangul is next, and Hangul label showed the lowest result. Consumers showed the evaluation differently between loanwords and Hangul according to their degree in fashion involvement. Consumers of high fashion involvement evaluated the sensibilities of 'refinement', 'elegant', and 'gorgeous' of loanwords as higher, whereas they had tendency to evaluate the sensibilities of 'familiar' and 'stability' of Hangul as higher or similar.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.614-628
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• 2012

The purpose of this study was to analyze research trends and make suggestions regarding the future of information technology (IT) in the fashion industry. In this study, 437 papers written regarding IT fashion from five major journals published between 2000 and 2011 were examined. The research areas were then organized by subject and keyword, and divided into 16 high-context categories. Two IT fashion maps were constructed, one from a fashion consumer's perspective, and the other based on the fashion industry's supply chain. This study identified important trends in IT fashion such as: 3D scanners, 3D digital renderings of the human form, 3D digital garments, smart garments, mass customization, production automation, online shopping, home shopping, online communities, e-commerce, digital media, virtual reality, e-tail, the digital generation, E-CRM, and education. Data from body scans was collected and applied to production, and research on smart textiles was also carried out. As for IT fashion's service areas, the majority of the research focused on online shopping or online communication. Additionally, research done on avatars and cyber space, and studies on social networking services are shown. The results of this study indicated that a new field of research has opened and that current research has been developing. Also, this study showed what is needed to expand and strengthen IT fashion.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.6
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• pp.902-910
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• 2008

A view of the Orientalism that sees the Orient as the inferior Other, characterized by the heterogenic, eccentric, backward, and passive features, has been internalized in the unconsciousness of Westerners. 'Orientalism' which is the cultural device and the system of discourse to put Asia in the fixed frame of dominance was the West European centered term, designating Southwest Asia including South Europe and North Africa as Orient, and contained the idea that non-Western society could progress only with the acceptance of Western civilization. Accordingly, it is need to use this term deliberately. In addition, even though the Asian Look of the West, borrowing the images and costume styles of Asia has lost the original mentality of Asia, it was not initiated from the perception that sees Asia as the inferior Other. Since the Asian Ethnic Look is the Western costume, borrowing the image of Orient and style by being fascinated by Oriental Aesthetics, the attributes of it are different from those of Orientalism. Therefore, it is not appropriate to designate the Asian Ethnic Look as 'Orientalism Fashion' or 'Oriental Look' except for some eccentric manipulation of Asia costume and image. Instead, it is desirable to exchange the term 'Asian Look', 'Asian Fashion', and 'Asian Ethnic Look' upon occasions or the name of individual nation or region can be referred to as preferred alternatives. Today, Asia including Korea is taking the initiative in the World Fashion as one of central axes of World Fashion Industry, and cannot be interpreted from the perspective of West Centrism. Now, it's time to dissolve the dichotomous prejudice of the West centrism on Asia's own strength.

• The Research Journal of the Costume Culture
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• v.29 no.5
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• pp.665-678
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• 2021

This study empirically verified the effect of the characteristics of live commerce on consumer trust and purchase intention. An online survey was conducted targeting adult women in their 20s and 30s who watched videos relating to fashion products on the NAVER shopping live channel; 281 questionnaires were analyzed using the IBM SPSS statistics 23 and AMOS 21 software packages. Consequently, the four factors of interactivity, attractiveness, price discount, and playfulness were identified from the data as characteristics of live commerce. Whereas interactivity and playfulness positively affected trust in both the seller and the product, attractiveness did nor significantly affect trust in the seller and the product. Furthermore, price discount had a significant positive effect only on trust in the seller and had no significant effect on trust in the product. In addition, trust in both the seller and the product had a significant positive effect on consumers' purchase intention; in particular, trust in the seller had a greater influence on consumers' purchase intention than trust in the product did. Research on the characteristics of live commerce can contribute to extend the theorical framework of live commerce research. Finally, fashion companies using live commerce channels will be able to develop live commerce channels that can elicit positive consumer perceptions based on the results of this study.