• Journal of Fashion Business
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• v.21 no.1
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• pp.124-133
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• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.1
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• pp.147-158
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• 2011

This study analyzed the effective and suitable promotion method to increase visitors on the internet fashion soho shopping mall by surveying of female university students. The methods were in-depth interviews for 20 students and questionnaires for 363 students. The results indicated that the main routes of visiting the internet fashion shopping mall were keyword search window, banner advertisement window, and open market. Others were price comparison sites, the rank shop, fashion magazines or internet news, information in e-mail, broadcasting sponsor advertisements, name cards, and leaflets. So the effective methods to increase the number of visitors is to implement keyword advertisements, banner advertisements, and enter the open market to expose the brand names and item information. Being on price comparison sites or rank shops, advertisements in the fashion magazines, internet news or e-mail, broadcast sponsorships, and distribution of leaflets or name cards were also effective methods.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.3
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• pp.485-500
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• 2024

This study was conducted to examine the effects of consumer evaluations on size recommendation services based on body information on consumer responses and the moderating effect of the level of information search. To analyze the research model, a total of 200 data were collected from August 18 to 24, 2022, targeting consumers who had experience with using size recommendation services based on body information. As a result of the research model analysis, it was confirmed that the compatibility, reliability, and convenience of the size recommendation services based on body information influenced attitude, which, in turn, influenced usage intention. In addition, In the case of the group subject to a low level of information search, the path through which compatibility and reliability influenced attitude was significant, but that of convenience was not. In the group featuring a high level of information search, the path through which reliability and convenience influenced attitude was significant, but that of compatibility was not. This study is meaningful in that it expanded research related to size recommendation services to the field of consumer behavior.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.175-180
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• 2019

Existing fashion web sites show only the search results for one type of clothes in items such as tops and bottoms. As the fashion market grows, consumers are demanding a platform to find a variety of fashion information. To solve this problem, we devised the idea of linking image classification through deep learning with a website and integrating SNS functions. User uploads their own image to the web site and uses the deep learning server to identify, classify and store the image's characteristics. Users can use the stored information to search for the images in various combinations. In addition, communication between users can be actively performed through the SNS function. Through this, the plan to solve the problem of existing fashion-related sites was prepared.

• Human Ecology Research
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• v.61 no.4
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• pp.585-598
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• 2023

This case study is centered on the developing process for the curriculum of fashion design major that is focused on the concept of competency, which is becoming increasingly more important in universities. The purpose of this study is to develop a competency-oriented curriculum for fashion design majors based on recent social changes that accentuate the importance of competency in such programs. In order to establish a competency-oriented curriculum of the Department of Fashion Design, the researchers examined environmental trends within the fashion industry, the curriculum and major competencies of other universities were examined. As a result, the key ability types of the Department of Fashion Design at A University, a local private university, were determined to be: communication and consideration, creativity and convergence, digital fashion, and practical adaptability. Four major abilities were selected to develop competencies suitable for the aforementioned ability types. These abilities are design planning and development, creative and convergent thinking, integrated information search and utilization, and field expertise application. From there, the curriculum was organized with these four major abilities in mind, and curriculum completion plans were developed for each grade and semester according to the stage and level of contents for each subject. To ensure the validity of the curriculum, it is necessary to develop a back-flow system that demonstrates whether the targer competency has been acquired through a competence-based curriculum.

• Korean Journal of Human Ecology
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• v.19 no.4
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• pp.675-685
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• 2010

This study analyzed risk perception and risk reduction behaviors of male and female college students in their twenties who purchased fashion products in internet shopping malls. It also investigated the relationship between risk perception and risk reduction behavior as well as the ways in which groups, categorized by risk perception, differed in their risk reduction behaviors. The results of this study were as follows: first, seven factors of risk perception were identified. These were product quality, shipping, product image, payment, economic feasibility, fear of other people's reactions, and size. Six types of risk reduction behavior were also identified. These were product comparison, word-of-mouth information search, price search, preference for name-brand, service comparison, and referring to experiences. Next, a correlational analysis of the factors of risk perception and those of risk reduction behavior showed several patterns. The highest positive correlation was between economic risk perception and product comparison behavior. In addition, shipping risk perception was positively correlated with service comparison behavior and product quality and product image had a positive correlation with word-of-mouth information search behavior. Third, customers of internet shopping malls could be categorized into three groups: shipping risk perception group, high risk perception group, and product quality risk perception group. The groups were shown by factor analysis to be significantly different to each other. Finally, risk reduction behavior was investigated according to the different groups of risk perception of the internet shopping malls and the results showed significant differences among groups.

• The Research Journal of the Costume Culture
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• v.7 no.4
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• pp.111-126
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• 1999

Apparel purchase behaviors were investigated for the high school girls grouped by attitude toward fashion. Differences in attitudes toward fashion were also investigated among the groups determined by demographic characteristics. Data were collected by a self-administered questionnaire survey to 600 high school girls living in Seoul, and 480 were used for the data analysis. Cluster analysis, Chi-sguare analysis, ANOVA, and Duncan\`s multiple range test were used for data analysis. Technical school students and those who spending higher amount of monthly allowances showed favorable attitudes toward fashion. Based on the attitudes toward fashion, respondents were classified into 3 groups : fashion-oriented(32.3%), fashion-conformed(47.3%), and unconcerned(20.4%). Among the 3 groups, the Fashion-oriented tended to make purchase decision for clothing based on there own, or peer\`s opinions, to use personal sources for information search, to spend more money for clothing, and to consider design and brand names as the most important criteria when purchasing apparel products than the less fashion-oriented did. Among clothing styles popular to students, the most appropriately perceived for student wear were semi-formal style, and the least appropriate ones were wearing bold colored and patterned underwear for the purpose of showing out. Most of the popular styles among high school girls were perceived less than appropriate student\`s attire.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.8
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• pp.1403-1414
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• 2010

Consumer decisions and responses about the price to pay vary. Some consumers might decide the appropriate price range prior to shopping, while others compare and evaluate prices. Especially, consumers can have different reference points for price evaluation based on various price searching behavior that represent heterogeneous responses for prices in the clothing purchase decision-making process. This research identifies how consumers evaluate the price and helps explain their decision-making based on price searches. By analyzing qualitative research, we found that consumers recalled price information as a representative indicator and product level price information through the internal search. Their level of internal references can be an important factor affecting price evaluations. In addition, each consumer groups were subdivided into high and low external searching. The four types of responses to price were classified in the price search process and the identified differences in the price evaluation. Therefore, pricing strategy needs to be differentiated for these various consumer types.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.29-37
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• 2017

Due to the pursuit of individuality by modern consumers, the day has come when it is hard for design to be sustained solely by external beauty. Accordingly, products with the psychological value and brand stories are appearing, so that products that reinterpret traditional crafts are now being appreciated for their merits. Handmade goods defined as new luxury goods or products of high-quality craftsmanship are being used to enhance the consumer's individual image, and has created an unprecedented consumer stratum structure. Japan is one of the countries that actively applies traditional crafts to contemporary design and this study aims to investigate cases that are being reinterpreted in modern fashion in the theme of Boro, which is not as well known among Japanese traditional crafts. The purpose of this study is to offer basic data for designers by investigating the cases of the reinterpretation of traditional crafts. In addition, in reinterpreting traditional crafts into other fields, it is regarded as a meaningful way to contribute to a variety of other ideas. As the research method, first, the definition and kind of Boro were investigated utilizing the related literature information about the traditional fabric of Boro, which is the starting point and basis of the research. Second, Japanese aesthetic sense defined in the previous research was classified and the relationship of the anti-decorative aesthetic sense and Boro investigated. Third, after classifying the reinterpretation cases of Boro that have appeared in four major fashion collections and designer brands from 2011 to 2016 by the selected aesthetic sense, its characteristics were investigated. The search for examples of the reinterpretation of Boro uses the results of the keyword search of Boro and Boro Fashion via the internet search engine Google from April 2016 to December 2016. In addition, the search results were selected on the basis of whether the designer specified borrowing from Boro or whether Boro on the collection order was included or not. In addition to introducing an unknown fabric craft, this study also raises the methodological problems of the reinterpretation of traditional crafts. Products containing psychological value are expected to come into the spotlight in the upcoming consumer market. Therefore, as a follow-up study, it is suggested to research examples in which various crafts are being applied as products before one knows, how this creates new originality, and the limitations involved in this.

• 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.