• Journal of the Korean Society of Costume
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• v.59 no.8
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• pp.110-122
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• 2009

The objective of this study is to suggest a direction eco-friendly material based fashion products may pursue in the 21 st century in order to protect our environment. This is done by considering the knowledge of the products by housewives, the main consuming players in a household. 398 copies of the survey were collected amongst Korean and Japanese housewives in the 30s and 40s aged group sample and analysed using SPSS 12.0 statistic program. The analysis results are as follows. First, base material was highly knew by Koreans in contradiction with Japanese who were highly knowing the disposal process in regard to eco-friendly fashion products. Second, a higher ratio of Koreans tended to purchase the product with consideration of health issues, however quality of the material was considered more by Japanese buyers. Finally, the result showed that eco-friendly products buyers from both countries had more willingness to purchase eco-friendly material based fashion products than non-buyers in the future. Korean housewives showed more interest in environment, benefit to health and value from eco-friendly material based fashion products than Japanese. Koreans had a better understanding of information and knowledge of the product, as well as higher future purchase intention however, Koreans considered less durability, design and variety of products.

• Smart Media Journal
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• v.13 no.4
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• pp.57-64
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• 2024

Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.3 s.43
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• pp.257-269
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• 1992

In the area of fashion business, market segmentation strategy has been paid attention for the purpose of assigning proficiently marketing resources. The use of fashion information in purchase decision process can serve as a base for market segmentation strategies. The purpose of this study was to identify four segmented profiles which are labelled as Print-oriented, Audio-visual oriented, Store intensive, and Pal advice group. Objectives were to determine fashion interest, fashion attitude and apparel selection criteria from each segment. For this study, the questionnaire was adminisered to 261 teachers and data were analyzed by using ANOVA, Regression and Pearson's Correlations. The results were as follows. 1. Print-oriented group had a positive attitude about fashion and they tended to place value on aesthetic and other-oriented criteria in selecting apparel. 2. Audio-visual oriented group had a strongly positive attitude about fashion but they tended to be less active toward buying fashion products and place much more value on other-oriented criteria in selecting apparel. 3. Store intensive group tended to be active toward buying fashion products. They had a positive attitude about fashion and placed value on aesthetic criteria in selecting apparel. 4. Pal advice group had a less positive attitude about fashion and tended to place value on economical and practical criteria in selecting apparel. Based on the profile of the each segment, it was suggested to express lingual or non-lingual symbols and to create concepts for meeting the needs of the segment

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.765-776
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• 2007

Customer expectations and requirements for products play an important role in product planning for companies and decision making process for the consumer. These expectations are expressed by product qualities that consumers consider important when they purchase. Therefore, to identify quality elements that reflect consumer requirements would be a useful guide for companies. The purposes of this study are to find out quality factors of apparel product, to identify apparel product quality elements using Kano's theory, to find attributes of product which improvement are required. Women over 20 years-old from metropolitan areas in South Korea participated in the study and a quota sampling method was used. A questionnaire was arranged with four separate subject sections, importance of quality, Kano's questionnaires, and demographics. Data from 525 questionnaires were used for the statistical analysis. The results were as follows: Six dimensions of product quality(i.e., usefulness, performance, aesthetic, symbol, individuality and appearance) were identified. According to Kano's quality elements, performance was categorized into must-be quality which could lead to product dissatisfaction. Usefulness and appearance were categorized into one-dimensional quality which lead to both satisfaction and dissatisfaction. Aesthetic, symbol, and individuality was categorized into attractive quality which could lead to satisfaction. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the product development process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.17-22
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• 2024

This paper introduces the implementation of a secondhand clothing trading system equipped with virtual fitting functionality based on deep learning. The proposed system provides users with the ability to visually try on secondhand clothing items online and assess their fit. To achieve this, it utilizes the Convolutional Neural Network (CNN) algorithm to create virtual representations of users considering their body shape and the design of the clothing. This enables buyers to pre-assess the fit of clothing items online before actually wearing them, thereby aiding in their purchase decisions. Additionally, sellers can present accurate clothing sizes and fits through the system, enhancing customer satisfaction. This paper delves into the CNN model's training process, system implementation, user feedback, and validates the effectiveness of the proposed system through experimental results.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.1
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• pp.59-72
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• 2014

This study investigated slow fashion consumers from a human desire viewpoint in order to examine the psychological aspects of slow fashion consumption. First, the concept of slow fashion was defined. Second, this study reviewed the concepts of desire found in Oriental philosophies and applied them to slow fashion consumption. This process identified the fundamental desire that motivates consumers of slow fashion. Lastly, the psychological aspects slow fashion consumers were examined through a comparison of fundamental desire and external reasons given by interviewees in regards to personal motivation to purchase slow fashion products. Data were collected through in-depth interviews with 10 unmarried women 25 to 37 years old with experience in buying slow fashion products. Exploratory data were classified into external reasons and fundamental reasons to derive the concept of slow fashion. First, slow fashion is defined as sustainable fashion that considers humans and nature. It also seeks to produce morally good products that transcend time and space. Second, we identified the following external reasons: social responsibility, pursuit of healthy products, and pursuit of beauty. Finally, we extracted four factors that reflected fundamental desire: Recognition Desire, Ostentation Desire, Sexual Appeal Desire, and Power Desire. Altruism was emphasized by respondents who expressed social responsibility among external reasons and the desire for recognition among fundamental reasons. However, this goodwill also originated from human desire due to the emotional healing they receive from helping others. Interviewees sought psychological benefits such as self-satisfaction and spiritual growth through slow fashion that implied an Association of slow fashion consumption with human desire. Slow fashion consumption was influenced by moral convictions as well as various desires; in addition, external reasons for slow fashion consumption could be explained by desire.

• Journal of Fashion Business
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• v.27 no.4
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• pp.88-100
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• 2023

This study analyzed the compositional characteristics of fashion videos and the characteristics of fashion design spreading as trends through Subversive Basics. Literature research and case studies were conducted concurrently. Based on the literature review, an analysis method was designed, focusing on the concept of online video content, Subversive Basics, and the video content type. For the case analysis, videos were collected and classified using Subversive Basics as the keyword. The content was observed, and design features were analyzed. Based on the results, the collected videos were classified into tutorial, curation, and creative content types according to their compositional characteristics. Tutorial content emphasizes practical actions that demonstrate how to make or modify clothing, thereby promoting user-generated content for dissemination. Curation contents provide users with style ideas and information about clothing and purchases to encourage clothing purchases and influence purchase decisions that lead to dissemination through clothing consumption and wear. Creative content showcases the process of modifying and creating clothes to enhance understanding and value of creative design. The characteristics of fashion design utilized in these contents include bold designs with high visual effects as the first category, designs that can be easily and quickly modified due to intentional incompleteness as the second category, and prominently featured body-positive, individualistic designs as the third category. The results of this study can be associated with balanced development between basic design elements and personalized unique designs, catering to consumer needs.

• Journal of the Korean Society of Costume
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• v.51 no.2
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• pp.105-120
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• 2001

The purpose of this study is to identify the relationship of self-efficacy, which is a kind of the self concept about one's own ability, to the decision-making process, which is the key part of consumer behavior. The subjects in this study were 985 male and female undergraduates of a university located in the city of Kyongsan, the north Kyongsang province. The collected data were statistically processed by MANOVA and ANOVA. For post test, Scaffle and $\chi$$^2$-test were employed. The followings are findings of this study : 1. Concerning incentive to buying, the group having the weaker general self-efficacy is stimulated more highly by the incentives of self-display, fashion pursuit and economic utility than the group having the stronger general self-efficacy does. 2. Regarding information sources. the factor of observation is frequently used by the group having the weaker general and social self-efficacies more than the group having the stronger general and social self-efficacies. 3. As to the evaluative criteria of clothes, the group having the stronger general and social self-efficacies put a higher value on functional and economical points than the group having the weaker general and social self-efficacies does. 4. As for the evaluative criteria of store the group having the stronger general self-efficacy lays stress on store atmosphere, store attributes and convenient shopping condition, while the group having the weaker general self-efficacy puts emphasis on brand and fashion. 5. In buying apparels, the group having the stronger general and social self-efficacies makes more planned purchase.

• Journal of Fashion Business
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• v.25 no.5
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• pp.131-148
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• 2021

Upcycling is a sustainable way to recycle waste resources and solve the global problem of environmental pollution. Upcycling is now attracting attention as fiberization and the disposal of waste clothing have become a serious issue. However, the customer's willingness to purchase upcycled products should be increased by propagating that the product value of a reborn commodity is of high value; these products are meant for new purposes and prepared with recycled materials. In this study, we created 11 designer items by applying an eco-friendly concept in the design process of upcycled textiles and products. From 2020 to 2021, a PBL(Problem Based Learning) curriculum was taught in design planning classes. The final 11 design items were derived after developing an eco-friendly product design for upcycled textiles. These final items were as follows: 5 fashion bags, 3 dog products, 1 clothing, 1 fashion accessory, and 1 sanitary mask design. In order to develop only one aesthetic design idea for upcycling, we considered the following features: user-centered convenience, functionality, and practicality. Then, tie-dye, drawing, patchwork, and embroidery were used to create innovative design items. The product design of recycled materials is based on high functionality, waterproofing, and the use of organic natural materials. The results of this study indicate that the creative product design of upcycling has contributed to a sustainable and eco-friendly environment. Related research studies must be conducted for innovating the continuous design process of the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.3
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• pp.379-393
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• 2015

This study proposes a new way to investigate purchasing behavior for preschool children's clothes using an ethnographic research method. The study consisted of 16 subjects composed of preschool children (aged 6 and 7) and their mothers. The analysis results are as follows. First, the in-depth interviews, indicated 14 attributes that mothers considered when purchasing children's clothes. Next, the result of conducting component analysis for consideration attributes indicated that the order of importance of attributes for mothers' opinions varied partially for some attributes (such as price) that depended on if the child was being raised only by the mother or with the help of another person. Second, in the accompanied shopping for the preschool children's clothes, the result of identifying the differences between the perception of consideration attributes and shopping behaviors confirmed some differences between consideration attributes recognized in the interviews and attributes practically considered when purchasing. Housewives (who were the mothers of girls) said that materials and comfort were the most important in the interviews; however, employed mothers of girls perceived design to be the most important attribute. The mothers of girls assessed design as an important attribute that they could never concede. Third, the children's opinions were found to partially influence mothers' purchasing behavior in the purchase of preschool children's clothes. Preschool children expressed their opinions on wearability and design in the process of wearing clothes at home or buying them outside; subsequently, mothers recognized children's opinions and reflected them in their practical purchases.