• Journal of Fashion Business
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• v.17 no.2
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• pp.95-116
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• 2013

The purpose of this study is to link traditional patterns to man's fashion goods design. Of all the traditional patterns, the bat pattern was chosen for use during the development of a man's fashion goods design as like as neck-tie, pocketchief and scarf. This study is based upon document searches, including research papers. Thought these searches, it investigates the form of traditional bat patterns, tessellation which can be found easily in the Islamic culture as well as in tile and carpet patterns and a modern painting by Gustav Klimt(1862-1918). Based on this investigation, the study attempt to modernize the bat pattern and apply the neck-tie, pocketchief and scarf. The design procedure includes three sub-processes: selection, arrangement and color-scheme. In conclusion, six designs of man's fashion goods were created by using one of Korea's traditional patterns - the bat pattern. Therefore, this study offer invaluable suggestions for multifaced research on how to come up with design concepts which apply Korea's traditional patterns to Man's fashion goods design.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1150-1163
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• 2016

This study makes use of meta-analysis to statistically integrate the quantitative results of individual research on the influence of fashion product attributes on purchase; in addition, this study utilizes the effect sizes of correlation coefficients. This study was based on 24 individual studies from January 2000 to March 2015. The meta-analysis analyzed 91 effect sizes and 24 studies and calculated the correlation coefficient effect sizes. A random effect model was employed for meta-analysis because the results for the homogeneity test indicated that the effect sizes of each research were heterogeneous. The analysis results are as follows. First, when the total effect sizes of the fashion product attributes that influence clothing purchase decisions were calculated as .256; this indicated that the effect size is slightly below the mid-sized level. Second, upon examining the effect sizes of the categorized fashion product attributes, the intrinsic attributes yielded .222, extrinsic factors yielded .235, and the compiled attributes yielded .420; this demonstrated that the compiled attributes have a larger effect size than individual attributes. Third, when they were measured by the characteristics of study targets, they were larger for a mixed-gender group than women as well as for ordinary citizens than university students. When the effect sizes were measured based on the characteristics of fashion products as suggested in the study, there were significant differences with respect to sportswear, followed by SPA brand clothing, general clothing, fashion accessories, and designer clothing. The cases where the clothing were purchased in non-retail stores were found to have a slightly larger effect size than those of offline retail stores when the effect sizes were measured based on purchase routes; however, the difference was not statistically significant. Next, an investigation of the trend of effect sizes based on published year via the meta regression analysis indicated slightly larger effect sizes as shown in more recent publications, but this was not statistically significant.

• Fashion & Textile Research Journal
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• v.26 no.2
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• pp.179-189
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• 2024

This study aims to explore the influence of product popularity signals on purchase intention in China's open market, with a focus on understanding the interaction effect of fashion product types. The popularity signals were measured through sales volume and review volume. For the experiment, a 2 (sales volume: high vs low) × 2 (review volume: high vs low) × 2 (fashion product type: trend vs basic) factorial design was employed. The findings of this study are summarized as follows. First, sales volume and review volume, as signals of the popularity of fashion products, did not appear to have a direct effect on purchase intention. Second, the impact of fashion product popularity on purchase intention was found to be contingent on the type of fashion product. When purchasing trendy fashion products, purchase intention was found to be higher under low popularity conditions compared to high popularity conditions. When purchasing basic fashion products, purchase intention was found to be higher under high popularity conditions compared to low popularity conditions. These findings contribute valuable insights for developing marketing strategies that leverage popularity signals for fashion products in China's open markets. Furthermore, the study improves understanding of online fashion product purchasing behavior among Chinese consumers.

• Journal of the Korea Convergence Society
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• v.8 no.4
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• pp.1-8
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• 2017

In the modern society, the size of the fashion market is continuously increasing both overseas and domestic. When purchasing a product through e-commerce, the evaluation data for the product created by other consumers has an effect on the consumer's decision to purchase the product. By analysing the consumer's evaluation data on the product the company can reflect consumer's opinion which can leads to positive affect of performance to company. In this paper, we propose a method to construct a model to analyze user's sentiment using word embedding space formed by learning review data of amazon fashion products. Experiments were conducted by learning three SVM classifiers according to the number of positive and negative review data using the formed word embedding space which is formed by learning 5.7 million Amazon review data.. Experimental results showed the highest accuracy of 88.0% when learning SVM classifier using 50,000 positive review data and 50,000 negative review data.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.329-346
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• 2022

Recently, as the market for short form videos (Instagram, TikTok, YouTube) on social media has gradually increased, research using them is actively being conducted in the artificial intelligence field. A representative research field is Video to Shop, which detects fashion products in videos and searches for product images. In such a video-based artificial intelligence model, product features are extracted using convolution operations. However, due to the limitation of computational resources, extracting features using all the frames in the video is practically impossible. For this reason, existing studies have improved the model's performance by sampling only a part of the entire frame or developing a sampling method using the subject's characteristics. In the existing Video to Shop study, when sampling frames, some frames are randomly sampled or sampled at even intervals. However, this sampling method degrades the performance of the fashion product search model while sampling noise frames where the product does not exist. Therefore, this paper proposes a sampling method MF (Missing Fashion items on frame) sampler that removes noise frames and improves the performance of the search model. MF sampler has improved the problem of resource limitations by developing a keyframe mechanism. In addition, the performance of the search model is improved through noise frame removal using the noise detection model. As a result of the experiment, it was confirmed that the proposed method improves the model's performance and helps the model training to be effective.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.2
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• pp.206-217
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• 2012

This study examined the causal relationship between the Chinese preference for Korean cultural products (Korean talent, K-pop songs, TV dramas, and movies), for Korean fashion products, and their purchase intentions. The relationship between the Korea's national brand image and Chinese fashion leadership with the three variables was investigated. Data was collected from 580 Chinese in Dalian, China. The data was analyzed using frequency, correlations, reliability, and AMOS for path analysis. The results of this study were as follows. First, the preference for Korean talent, K-pop songs, TV dramas, movies, and fashion products showed that the Chinese had a positive response and the degree of preference for each item was similar. Second, the Chinese preference for Korean talent, movies, and TV dramas significantly influenced the preference for Korean fashion products. In addition, the Chinese preference for Korean fashion products significantly influenced the purchase intentions of Korean fashion products. Third, the Chinese preference for Korean talent and fashion products had a significant relationship with their fashion leadership. In addition, the preference for Korean talent, movies, TV dramas, K-pop songs, fashion products, and purchase intentions had the same positive relationship with Korea's national brand images. This study examined from a structural aspect how the preference of Korean intangible cultural products affected the purchase intention of Korean fashion products. This study explored that the preference for Korean cultural products transcended the popularity of the Korean popular culture with a subsequent national industrial and economic ripple effect that improved the national brand image.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.13-22
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• 2023

Recently, global luxury fashion brands such as Gucci, Saint Laurent, and Louis Vuitton have been showing special interest in Korean contemporary artists and actively collaborating with them. This can be said to be a new change that is distinguished from previous collaborations of fashion brands. Therefore, this study investigated the cases of collaboration between global luxury fashion brands and Korean contemporary artists, and analyzed the types and characteristics to examine the trends and characteristics and draw meaning. As a result, fashion brands combine the characteristics of Korean art works of various genres with the brand concept and pursued values to create new sensibility and high value-added products. It can be seen that the intention was to prepare a place to draw out. In addition, it was found that collaboration was also utilized in terms of marketing so that domestic customers could visit the brand store with a sense of familiarity by utilizing Korea's artistic and cultural sentiments. Based on the results of this study, we intend to provide basic data for the development of creative contents for various collaborations between fashion and art that can help develop the modern fashion industry.

• The Journal of Information Technology and Database
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• v.2 no.2
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• pp.55-69
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• 1995

전문직 종사자는 많은 정보활동을 수행한다. 특히 끊임없이 변하는 소비자의 욕구에 부응하는 새로운 패션상품을 기획해야하는 머쳔다이저는 의상디자인 능력과 상품기획 능력을 동시에 겸비하고 있어야 한다. 이 두가지 다른 내용을 동시에 흡수할 수 있는 전공교육 프로그램이 마련되어 있지 못한게 국내실정이다. 그리하여 패션 머쳔다이저는 업무수행에서 필요로 하는 정보 및 지식을 끊임없이 수집, 분석하려는 노력을 취해야한다. 이들이 주로 탐색해나가는 정보의 성격이 업무수행성과에 영향을 미치는 가를 판단코자함이 본 연구의 관심주제이다. 정보활동에 관한 기존연구는 개인의 특성, 경험 등이 정보활동 형태에 영향을 주는 요인이리고 지적한다. 본 연구에서는 머쳔다이저가 성장해온 경력외의 분야에 더 많은 정보를 탐색하게되면 보다 합리적인 머쳔다이징 의사결정을 내릴 수 있게되고 또 한 이들의 업무수행 성과도 그에 따라 차이가 날 것이라는 주요가설을 설정하였다. 아울러 이의 검정을 위해 설문조사를 수행하였다. 국내 주요백화점의 특정 지점에 매장을 갖고 있는 의류제조업체의 머쳔다이저를 대상으로 조사한 결과, 본 연구의 주요가설은 채택되었다. 이러한 연구결과는 국내 의류업체가 머쳔다이저를 위한 정보활동 프로그램을 마련할 때 활용될 수 있을 것이다. 본 연구가 패션분야를 떠난 일반적 정보활동 분야에 기여한 점은, 업무를 효과적으로 수행하는데 부족하다고 여겨지는 분야의 정보를 많이 획득해나갈수록 그 활용에 따른 효과가 크게 나타난다는 점이다. 이는 정보활동에 대한 계획수립시 유용하게 적용될 수 있을 것이다.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.1061-1069
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• 2011

With the development of information technology, online commercial transactions have been steadily increasing. However it is not easy to recommend the clothes in coordination with individual physical features. This paper presents a fashion coordination recommender system for women's clothes. The system includes the functionality of recommending clothes best-suited for customers in consideration of their individual physical features. It has also been designed to recommend clothes in vogue for those who are fashion-sensitive by considering the fashion trend of the times. Operated in an optional or coupling way, these functionalities of our system result in an intelligent fashion coordination system which recommends dress items to customers in various ways.