• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.369-383
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• 2020

This study proposes a method to effectively teaching technic for pattern development and virtual garment manufacturing by adopting the K-MOOC platform for the Apparel Pattern CAD curriculum. According to K-MOOC guidelines, Apparel Pattern CAD curriculum were developed and presented through the K-MOOC platform. A questionnaire survey was utilized to evaluate K-MOOC platform features in terms of learner satisfaction when adopting the 5-point Likert scale. Questionnaire survey participants included 52 college students. The result of the survey found that most of the attributes of the K-MOOC platform were highly rated in terms of interaction and learning effectiveness. The user interface of the K-MOOC platform were shown to be satisfactory in terms of usability. Participants gave a positive assessment of the benefits of online lectures when comparing online and offline lectures. In particular, the preference for online lectures in computer-related courses such as CAD was higher than the offline. It was concluded that the Apparel Pattern CAD curriculum based on the K-MOOC platform was effective and satisfactory for learners in various aspects.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.7
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• pp.1203-1214
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• 2001

This study is to analyze the competition structure and the brand image in underwear market, and to examine the relationships between brand preference and evaluation criteria on purchase among the age of 20's females. The samples are composed of 591 females aged 20's in cheong-ju city. For data analysis, MDS, AVOVA, t-test were used. The results of this study are followed as; Brand group I [BYC·Try·Vicman] was positioned on the dimensions of casual/classic image, brand group II [BodyGuard·DonandDons·schaolphio·x-zon] was positioned on the dimension of casual/fashionable image, and brand group III [Wacor·Venus·Ravora] was posiotioned on the dimension of elegant image. Brand preference in group III was the highest, and brand preference had significant difference by age, occupation, and education level. Customers who prefer the group I evaluated useful and management attributes the most and customers who prefer the group II, considered economical and esthetic arributes for purchasing underwaer. Also, customers who prefer the group III, evaluated the esthetic appreciational quality, the functional quality, and the brand-symbolic quality. Also, the influence of advertisement is most effective to purchase underwears. A main source of information is the broadcast medium such as TV or radio. The main store types on purchase were types like a department store and underwear special store.

• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.146-161
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• 2010

The purpose of this study was to analyze the characteristics and images of costume colors in Korean Masque Drama. For this study, 242 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed to HV/C and the attributes of color and tone were analyzed. Color images were analyzed with the IRI color image scale. As a result, neutral, red, purple blue, and yellow were found to be the most frequently used colors in the Korean Masque costumes. In the ton analysis, white tone showed high frequency and next orders were dp, s, v, b, sf. In the hue & tone, the most frequent color was white, followed by R(v), PB(dp), R(dp), YR(s), GY(s) and mGY. Color images were focused on dynamic, gorgeous, and natural images.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.12
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• pp.1497-1506
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• 2011

This study identifies the effect of customer-to-customer interactions on the preference of fashion purchase environment. An empirical study surveyed male and female consumers 25 years of age and older in Daegu, Korea, in August 2011. A total of 338 responses were analyzed using descriptive statistics and chi-square analysis of SPSS 19.0. The results identified the effects of the number, gender, age, attractiveness, and taste of other customers in fashion retail settings. In addition, differences in the effect of customer-to-customer interactions according to consumer attributes were also verified. The sample of this study preferred a shopping condition of many shoppers in the store, the same gender shoppers in the store, the same aged shoppers in the store, an attractive shopper in the store, and a shopper having the same taste in the store. Female consumers showed a preference for a store environment with many shoppers and the same gender shoppers to a store of no shoppers and different gender shoppers compared to male consumers. Aged consumers and fashion-involved consumers liked to shop with more attractive persons than less attractive persons. Fashion-innovative consumers wanted to enter a store where the other customers have similar tastes.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.4 s.163
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• pp.615-623
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• 2007

This study aimed to construct an effective decision-making model on selection of cloth stores using AHP technique. The proposed AHP structure consists of three levels. The highest level includes the cloth stores alternative which are department store, specialty store, and a clothes store. The second level consists of the key performance measurements for evaluating the optimal selection of cloth stores, such as location, facilities, product, service, and promotion. The lowest level consists of items which affects the performance measurements in the upper level. The items are convenience location, courteous service, decor/ambience, availability of parking, etc. The data for this research were collected from questionnaires of 132 in Busan. Data were analyzed by frequency and AHP. As the result of this study, 'product' was decided as a most important item in department store, while 'location' was decided as a most important item in specialty store and a clothes store. And 'variety goods' evaluated as that of first priority in the totality evaluation items in department store, but 'convenience location' evaluated as that of first priority in the totality evaluation items specialty store and a clothes store.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.1025-1038
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• 2018

This study identifies the socio-psychological factors on athleisure wear purchase behavior and focuses on the effects of participation motives in sports leisure activity. This research compares athleisure wear purchase behavior among the three groups segmented by participation motives for sports and leisure activity. An online survey on male and female consumers between the ages of 20 and 50 provided 319 responses that were analyzed using SPSS 20.0. The factor analysis and reliability analysis, cluster analysis, variance analysis, Duncan test, and Chi square test were conducted. The results were: 1) From a result of the factor analysis on consumers' sports leisure participation motives clearly showed factorial structures including social interaction, physical health, and pleasant feeling. 2) Cluster analysis indicated three groups of participation motives in sports and leisure activity such as passive motivating type, social interaction type, and wellness type. 3) Consumer groups showed significant differences in purchase reasons, preferred brands, product items, and pursued performance attributes for purchasing athleisure wear products.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.1
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• pp.73-93
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• 2021

This study typifies fashion mobile plays in a digital environment and explores the experiential value created by them through a case study of a fashion brand mobile app. For the case analysis, mobile plays were divided into four types: intrinsic motivation/active participation, intrinsic motivation/passive participation, external motivation/active participation, and external motivation/passive participation, depending on the mobile players motivation and level of participation. Among the global fashion brand mobile apps released from 2009 to 2019, 16 cases suitable for the analytical framework were used for final analyses. The main results are as follows. First, mobile play value include characteristics such as networkability, immersion, hyper-spatiality, and super-temporality in addition to the attributes of a traditional play such as spontaneity, uncertainty, regularity, and playfulness. Second, the four types of mobile play provide participants with an experiential value such as creative value, emotional value, social value, and exploitative value. This study has academic implications in terms of introducing a new framework that can typify mobile plays and suggest practical implications for what experiential value fashion companies can give consumers through mobile app marketing.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.4
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• pp.716-732
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• 2016

Focusing on the communication effects of fast fashion visual merchandising (VM), this paper examines the effects of a fast fashion store's VM attributes on consumer's perceptions of store image towards newness and prestige that influence the time spent at stores as well as the frequency of visits. This study was conducted by collecting data online using males and females in their twenties to forties; subsequently, a total of 382 samples were analyzed. The VM communication effect model utilized in fast fashion stores was developed and tested on structural equation modeling. The findings of the study were as follows. First, the show window presentation and ancillary facilities of VM elements have a positive effect on the perception of newness, while merchandise display, layout, and signage have a positive influence on the perception of prestige. Therefore, the VM elements in the fast fashion stores that affect the perception of newness and prestige are unique. Second, the perceptions of newness and prestige have a positive impact on time spent in fast fashion stores; however, only the perception of store's newness has a significant effect on the frequency of visits. Third, show window presentation and facilities are VM elements that directly influence the time spent and frequency of visits. Finally, we confirm that store image partially mediate between VM elements and shopping behavior at a fast fashion store.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.165-181
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• 2022

The fashion industry is creating innovative business models using artificial intelligence. To efficiently utilize artificial intelligence (AI), fashion data must be classified. Until now, such data have been classified focusing only on the objective properties of fashion products. Their subjective attributes, such as fashion brand sensibilities, are holistic and heuristic intuitions created by a combination of design elements. This study aims to improve the performance of collaborative filtering in the fashion industry by extracting fashion brand sensibility using computer vision technology. The image data set of fashion brand sensibility consists of high-end fashion brand photos that share sensibilities and communicate well in fashion. About 26,000 fashion photos of 11 high-end fashion brand sensibility labels have been collected from the 16FW to 21SS runway and 50 years of US Vogue magazines beginning from 1971. We use EfficientNet-B1 to establish the main architecture and fine-tune the network with ImageNet-ILSVRC. After training fashion brand sensibilities through deep learning, the proposed model achieved an F-1 score of 74% on accuracy tests. Furthermore, as a result of comparing AI machine and human experts, the proposed model is expected to be expanded to mass fashion brands.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1142-1160
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• 2022

Text data plays a significant role in understanding and analyzing trends in consumer, business, and social sectors. For text analysis, there must be a corpus that reflects specific domain knowledge. However, in the field of fashion, the professional corpus is insufficient. This study aims to develop a taxonomy and thesaurus that considers the specialty of fashion products. To this end, about 100,000 fashion vocabulary terms were collected by crawling text data from WSGN, Pantone, and online platforms; text subsequently was extracted through preprocessing with Python. The taxonomy was composed of items, silhouettes, details, styles, colors, textiles, and patterns/prints, which are seven attributes of clothes. The corpus was completed through processing synonyms of terms from fashion books such as dictionaries. Finally, 10,294 vocabulary words, including 1,956 standard Korean words, were classified in the taxonomy. All data was then developed into a web dictionary system. Quantitative and qualitative performance tests of the results were conducted through expert reviews. The performance of the thesaurus also was verified by comparing the results of text mining analysis through the previously developed corpus. This study contributes to achieving a text data standard and enables meaningful results of text mining analysis in the fashion field.