• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.106-117
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• 2021

This study proposes a design process for an upper limb assistive wearable soft robot that will enable the development of a clothing product for an upper limb assistive soft robot. A soft robot made of a flexible and soft material that compensates for the shortcomings of existing upper limb muscle strength assistive devices is being developed. Consequently, a clothing process of the upper limb assistive soft robot is required to increase the possibility of wearing such a device. The design process of the upper limb auxiliary soft robot is presented as follows. User analysis and required performance deduction-Soft robot design-upper limb assistive wearable soft robot prototype design and production-evaluation. After designing the clothing according to the design process, the design was revised and supplemented repeatedly according to the results of the clothing evaluation. In the post-production evaluation stage, the first and second prototypes were attached to actual subjects, and the second prototype showed better results. The developed soft robot evaluated if the functionality as a clothing function and the functionality as the utility of the device were harmonized. The convergence study utilized a process of reducing friction conducted through an understanding and cooperation between research fields. The results of this study can be used as basic data to establish the direction of prototype development in fusion research.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.567-576
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• 2022

This study aims to determine the effects of the experiences of ZEPETO platform users on their attitudes and purchase intentions. A survey on 10-20 Korean and Chinese virtual fashion consumers was conducted. Brand experiences were independent variables, and offline purchase was the dependent variable. The results showed that, first, among the four factors of the brand experience, Korea and China have the highest explanatory power. Second, the brand experience of Korean consumers significantly impacted their brand attitude. Additionally, cognitive and emotional experiences of the brand positively impacted their brand attitude. Third, the brand experience of Chinese consumers significantly affected their brand attitude, and among the sub-factors of brand experience, cognitive experience positively affected brand attitude. Fourth, the brand experience of Chinese consumers significantly influenced their offline purchase intention, and among the sub-factors of brand experience, cognitive experience positively influenced their offline purchase intention. Overall, an emotional branding strategy that provides brand and product information must be implemented for the Korean market encouraging consumers to develop a positive and emotional connection with the brand. The Chinese market would benefit from formulating a reliable branding strategy that easily provides a wide range of brand and product information focusing on cognitive experiences.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.5
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• pp.848-867
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• 2022

As an emerging market with rapid economic growth, while being a key region of the K-culture expansion, Vietnam draws increasing scientific attention. This study focuses on the MZ generation, Vietnam's leading consumer group, revealing their consumption value structure. An online survey was used for data collection purposes, investigating 368 Vietnamese consumers between 18-37 years of age. Six value dimensions were derived as results of the present analysis: functional, emotional, social, ethical, self-expression, and autonomy-oriented value. Among them, functional value includes two sub-dimensions of utility and price, while emotional value entails three sub-dimensions, namely hedonism, novelty, and aesthetics. 'Self-expression value' and 'autonomy-oriented value', reflecting the characteristics of the MZ generation, who actively express themselves and respect proactive decision-making, are becoming important standards of the consumption attitude of young Vietnamese. Moreover, the pursuit of 'novelty' was derived as a factor reflecting emotional values, revealing an association between hedonic consumption, and seeking for newness and difference. Furthermore, the relationships between each consumption value dimension, respective demographic characteristics, and global consumption propensity were investigated. The present findings aim to provide insights into young Vietnamese consumers' attitudes and intend to serve as a foundation for future research.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.418-430
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• 2022

This study aims to analyze consumers' purchase decision-making process of buying avatar fashion items on the Metaverse platform. Drawing on the connection between the self-expression tendency of the MZ generation and that of avatars in the Metaverse, this study uses a qualitative research method to analyze how consumers express their self-image through the appearance of their avatars. Unlike previous studies on the clothing purchase decision-making process, this study shows that purchasing and consumption behavior involve the following six stages: recognizing desire, collecting information, evaluating alternatives, making purchases, evaluating the consumption, and post-purchase action-taking. In the first stage of the purchase decision-making process, consumers' desire arises with self-image expression and confirmation. In the second stage, consumers have a high tendency to shop in the best item category. In the alternative evaluation stage, consumers tend to seek items that match their highest standard while considering their personal preferences. In the fourth stage, when making actual purchases, unplanned purchase behavior often occurs along with an active practice of alternative evaluation. In the fifth stage, the evaluation of the consumption shows that consumers achieve satisfaction by applying a style to their avatars that they are unable to try in the real world. In the last stage, consumers often use their purchases to communicate their various styles with other online consumers. Therefore, we conclude that the online purchase decision-making process differs from the offline process as it is divided into six stages.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.646-665
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• 2023

This study attempted to examine the characteristics of fashion cross-border e-commerce(CBEC) by analyzing about 35.7 million cases of customs clearance data received from the Korea Customs Service. The demographic characteristics of consumers and the features of products purchased from 2019 to 2021 were explored. Next, the association rules between products, brands, and websites were analyzed by men and women in their 20s to 50s. The results are as follows. First, women purchased more clothing products than men, and overall, consumers tended to purchase products at low prices every year. Second, the most commonly purchased products were T-shirts, bags, and other shoes. In the list clearance, the purchase frequency of international open markets increased for three years; in general clearance, the proportion of luxury brands was high every year. Finally, in the list clearance, the relationships between bags, other shoes, pants, and overseas open markets were significant, while the relationships between wallets, bags, and luxury brands were significant in general clearance. Based on this study, domestic companies participating in or competing against the CBEC market can develop appropriate strategies for merchandising and sourcing clothing products.

• 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.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.1-10
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• 2023

An eco-CMF design process is vital to the sustainable development of fashion products concerning both emotional and physical quality factors, thus extending the use phase of the product life cycle. Life cycle assessment (LCA) is widely used in other fields to evaluate environmental impact; However, the method is rarely adopted in fashion. While cooperating with design, technology, and the users, reflecting the CMF design process is an excellent approach to the sustainable development of fashion products. Moreover, it is likely to evoke favorable reactions in users toward products. Therefore, this study aimed to review the sustainable design strategies associated with CMF in the fashion industry. Using a systematic review, 135 papers that met the inclusion criteria were examined from peer-reviewed journal articles published between 1990 and 2022. They contained specific design processes or tools relevant to eco-CMF design. The search used the Web of Science database. After a rigorous search, the final six peer-reviewed journal articles were selected and underwent thorough content reviews. Then, the CMF design tools and frameworks for eco-design featured in the articles were carefully reviewed and analyzed. Finally, we proposed practical guidelines for the sustainable development of eco-CMF design in the fashion industry. The study outcomes revealed the need for concrete eco-CMF design processes, particularly for fashion products. Furthermore, more active research involving eco-CMF design processes for the sustainable environmental impact of fashion products is required.

• Fashion & Textile Research Journal
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• v.19 no.1
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• pp.70-78
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• 2017

To predict and foster professional research issues for the present and future, it is important to understand the stream of research trends. This study is to provide information of research trend through analysis of quantitative variables in 1,374 articles from the first issue to the present(2015) of the Fashion and Textiles Research Journal. As a result, in the former periods, articles in the field of textile science & technology and fashion design & historical concerns, and articles that used experiments and others as a research method were dominant; in the latter periods, articles in the field of fashion marketing & merchandising and apparel production & technology, and articles that used survey as a research method were dominant. According to each detailed research field and method, there were significant differences in the number of pages, authors and references of articles. In addition, it was found that the number of pages and the number of references increased sharply in the latter period, indicating that the contents of the papers were more detailed and faithful to references of other studies. Through the analysis of this study, it was found that Fashion and Textiles Research Journal published a variety of articles in the academic fields. The research information analyzed in this study will contribute to the future design for the research as well as the academic societies.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.319-329
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• 2021

This study aims to investigate Korean fashion-related research trends and knowledge structures on digital transformation through information-based approaches. Accordingly, we first identified the current status of the relevant research in Korean academic literature by year and journal; subsequently, we derived key research topics through network analysis, and then analyzed major research trends and knowledge structures by time. From 2010 to 2020, we collected 159 studies published on Korean academic platforms, cleansed data through Python 3.7, and measured centrality and network implementation through NodeXL 1.0.1. The results are as follows: first, related research has been actively conducted since 2016, mainly concentrated in clothing and art areas. Second, the online platform, AR/VR, appeared as the most frequently mentioned topic, and consumer psychological analysis, marketing strategy suggestion, and case analysis were used as the main research methods. Through clustering, major research contents for each sub-major of clothing were derived. Third, major subject by period was considered, which has, over time, changed from consumer-centered research to strategy suggestion, and design development research of platforms or services. This study contributes to enhancing insight into the fashion field on digital transformation, and can be used as a basic research to design research on related topics.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.6
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• pp.893-903
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• 2009

Smart clothing represents the future of both the textile/clothing industry and electronic industry and has an effort to make electronic devices a genuine part of our daily life. The researches about technologies innovation and application of smart clothing can be found in previous studies. But consumer researches about perception or attitude toward smart clothing can be hardly found. Therefore, we proposed a conceptual framework that explores the impact of perceived risks on perceived attributes to adopt smart clothing. In addition, we compared differences of this framework among three counties. Korea, U.S. and Spain. Based on the literature review and hypotheses development, a research model was constructed. After data analysis using Amos 7.0, the results can be concluded as following: First, the influences of psychological risk among Korea, U.S. and Spain are same. Psychological risk has negative effect on relative advantage and complexity, but has positive effect on trialability. Second, loss risk was found to have nothing to do with relative advantage. But it negatively influences complexity for Korean consumers and positively influences trialability for both Korean and American consumers. Third, the influences of performance risk for different consumers are different. At last, based on our discussion, some implications were also concluded.