The growth of domestic fashion industry market went sluggish affected by long-term slow growth and shrinking consumer sentiment since 2012, and the entire market has shown a slight growth since 2017. Yet only some conglomerates or global businesses experience this growth. Small and medium-sized fashion companies or rising fashion designers in South Korea, face real limitations and problems poor capital, lack of professional workforce, experience, information and educational opportunity as well as difficulty of acquiring distribution network, which lead to further polarization between conglomerates and small businesses. Thus, this study proposed mobile virtual viewer system-based collaborative application prototype capable of overcoming limitations and problems drawn by analyzing business environment of domestic brands launched by rising fashion designers. Especially, through applied template-based 3D virtual fashion design technology and performing the entire process in the virtual reality beyond spatial and temporal restraints, it is assumed that more effective and efficient outcomes can be obtained compared to the previous method.
Due to the diversification of lifestyles and the rapid growth of Internet environments since the 1990s, mass customization has been recently accepted as an important trend in the area of clothing and all other areas. In response to mass customized clothing products, global clothing product brands are introducing systems for mass customization such as the application of digital fashion systems that introduced IT technologies such as CAD and 3D scanners. However, studies of planning factors for clothing products applied with digital fashion systems in the area of mass production of clothing products are insufficient. Therefore, this study was intended to analyze the lifestyles of 20-30s that are expected to have the highest demand for clothing applied with digital fashion systems and present basic planning factors according to lifestyles. Through the analysis, three groups that have one of fashion pursuing type, sensory information pursuing type, and practical function pursuing type lifestyles were derived. Based on this result, consumer demand for digital fashion systems and basic factors for product planning were analyzed to present basic planning factors for digital fashion system based customized clothing by lifestyle group. This study is meaningful in that it provided basic data for product planning through digital fashion systems by analyzing the awareness, preference, necessity, and planning factors of digital fashion systems through the analysis of lifestyle types.
The purpose of this study was to develop cruise look design inspired by the ocean life motif using by computer CAD system. Domestic and international brands were selected for this study researching cruise line collection. A variety of literature and online site for concept of cruise look and sustainable design was studied. Adobe Illustrator CS2 and Adobe Photoshop CS2 program were used for cruise look design through analysis of 07/08 S/S trend. The diffusion of cruise look reflects a societal trend to be changed life pattern. The results of this study are as below. First, as this society has become modernized with advancement of technology, people have been increasingly interested in the pursuit of happiness and the concept of 'quality of life', thereby creating a new trend of consumption culture. As a result, fashion market place changed targeting sensible and self-enrichment customers. Second, as combining rapid technological innovation and mass production, industrial design caused environmental pollution and the problems are being worsen. Fashion design has same problems and led to eco-friendly design by the large. Third, as the change of style influenced by economic and social condition, cruise look re-defined and became more common. The change of various fields led to fashion market place should be changed. The cruise look design using computer program will give more benefits to many designers.
As health and well-being become a global trend, the younger generation is focusing on the balance between work and leisure time and they are interested in sports activities as well as a cultural life. In addition, the range of sportswear is expanding, so that athleisure fashion is getting into daily lives. In particular, consumer groups in the sportswear market are beginning to change since generation Z consumers are more and more interested in sportswear and their needs are also growing of health and functional of sports wear. It's a global trend that athleisure fashion market is growing, which combines professional athletic wear with fashion. As the number of women who enjoy sports and leisure in their spare time, the consumer pattern in the sports wear market is also expanding to female customers. However, most sports functional wears were focused on male consumers, so that functional inner-wears are mostly made for both sexes, which mean the functional inner-wears are produced without considering the physical characteristics of men and women and with not enough size division ending up not suitable for professional athletes. In particular, female professional athletes need functional inner-wear that fits the characteristics of the sport because they are not only different in physical condition and they are also using different muscles for different movements. Therefore, functional inner-wear needs pattern development and size system setting considering the body shape and athletic movement of female professional athlete.
In this paper, big data analysis was conducted for past and present fashion trends and fashion cycle. We focused on daily look for ordinary people instead of the fashion professionals and fashion show. Using the social matrix tool, Textom, we performed frequency analysis, N-gram analysis, network analysis and structural equivalence analysis on the big data containing fashion trends and cycles. The results are as follows. First, this study extracted the major key words related to fashion trends for the daily look from the past(1980s, 1990s) and the present(2019 and 2020). Second, the frequence analysis and N-gram analysis showed that the fashion cycle has shorten to 30-40 years. Third, the structural equivalence analysis found the four representative clusters. The past four clusters are jean, retro codi, athleisure look, celebrity retro and the present clusters are retro, newtro, lady chic, retro futurism. Fourth, through the network analysis and N-gram analysis, it turned out that the past fashion is reproduced and evolves to the current fashion with certain reasoning.
This study attempted to analyze the context characteristics and consumer characteristics that affect fashion curation shopping. The data used for this study were 223 questionnaires targeting male and female college students in their 20s in Busan and South Gyeongsang Province who had had the curated shopping experience in the latest three months. The SPSS program was used for the data analysis, and a reliability measurement, factor analysis, multiple regression analysis, T-test, and one-way ANOVA were conducted. The results were as follows. First, fashion curation shopping exhibited three factors: product subscription, marketing use, and product recommendation shopping. Furthermore, the context characteristics had sub concepts of five factors: selection, sharing, experience, discovery, and storage. Second, the context characteristics (selection, sharing, experience, discovery, and storage) had a significant influence on product subscription, marketing use, and product recommendation, which belong to the curation shopping category. Third, the fashion consumers' price sensitivity, trend sensitivity, and product knowledge had a deep impact on the marketing use and product recommendation. Fourth, there was no difference in the fashion curation shopping by male and female consumers and the average monthly fashion shopping frequency, and there were differences in shopping cost and time. This study can analyze the context and consumer characteristics that affect fashion curation shopping to establish an efficient fashion curation shopping system in practical terms. Additionally, academically, it can be proposed as basic data on the development of measurement tools for analyzing consumer behavior that prefers fashion curation shopping.
The purpose of this study is to provide the fashion industry in Korea with materials that could enhance its international competitiveness by suggesting marketing strategies for fast fashion brands after taking product, price, place, and promotion into consideration. The product strategy should focus on developing products that accurately reflect the general market trend and consumer demand, selecting optimal materials, and pursuing internal production. This, coupled with strategic cooperation with designers, will ensure reliable quality and enhance the brand image. The pricing strategy should place greater emphasis on reducing production costs. Diverse task outsourcing and design competition, for instance, can lower the cost of design development. The place strategy should be set according to the operation of a systematic and efficient distribution system based on SPA, an automatic delivery system, sales or return system, speed control system, and a value chain that consists of horizontal business alliances. The promotion strategy should be run under the central control of the headquarters using various unique VMDs. Furthermore, online marketing campaigns, spectacular fashion shows, design competitions, catalogue marketing campaigns, and other new sales promotion schemes could all be introduced.
In the modern fashion industry, efficiency has been increasing thanks to development of computer graphics, IT technology, and digitalization. Unlike the past when fashion design heavily depended on handwork, digitalization of fashion industry makes fabrication time shorter and enables designers to adopt comprehensive expression, generating high value-added product. The Apparel CAD, an example of the digitalized fashion industry, has been developed from 2D system into a system providing 3D simulation. Digital clothing can be determined as an activity of designers using the tool in order to fabricate pattern and simulate its designed clothes in the virtual space of computer. In this study, physical properties of eight materials, which can be utilized on a par with current fashion trend, have been specified. For more sophisticated investigation, external appearance of the material was investigated by 3D scanning. In order to examine the physical properties of fabric specimens, KES(Kawabata Evaluation System) measurements and other physical property measurements were made. With the results, virtual material and clothes were simulated via CLO 3D, one of 3D apparel CAD systems. Then, virtual fabrics and clothes of similar types were generated and analyzed.
The contents of this study are as follows. First, an academic understanding has been achieved by exploring the theoretical concept "allegory", and a new theoretical approached methodology has been sought. Second, an analysis-index of fashion illustration cases has been suggested based on the allegory theory of Craig Owens. Third, in order to draw the characteristics of fashion illustration as viewed from the allegorical viewpoint and find out its feasibility, the case studies has been referred and the internal significance, external significance that combines different characteristics has been extracted. In regards to this study method, literature studies and case studies has been done in parallel with each other. This study was done in the following sequence: the establishment of the study system, the drawing of the allegory-associated concepts and the discovering the characteristics of aesthetic expressions. The results of this study on the expression characteristics of fashion illustration as viewed from the allegorical viewpoint of Craig Owens are as follows. First, the borrowing of image, which is a characteristic of allegory, contains the meaning of uncertainty in the fashion illustration as it expresses the image-synthesis and forms a completely different meaning as the fixed meaning is dissolved and it is utilized as a photo-montage technique. Second, the inference of pictogram is the mixture of linguistic medium and visual medium. Fashion illustration utilizes the characters and transmits the fashion information visually and immanently. It has the characteristic of making the information into pictograms and the internal significances of mutual-text with communication function. Third, the uniqueness of location in the fashion illustration has the special nature of utilized mediums as it is used for advertising or publicizing. The fashion illustration from the viewpoint of allegory has the impermanency of existing only for a limited time and reflects the coincidence that gives the meaning of utilized location according to the season trend. Fourth, the cross-breeding is expressed as the mixture of various materials in the fashion illustration. The expressions made by the mixture of media, such as the use of computer graphic programs mixed together with various materials showed the trend of diversity and genre dissolution.
With the development of information and communication technology, interest in new educational approaches that can enhance the learning performance of learners with improved information literacy skills is increasing, and universities are actively promoting educational innovation to foster the talents required by society. In the field of fashion studies education, which is closely related to the fashion industry, there is a strong need to develop field-linked educational programs that reflect the trends in the industry and changes in the educational system. The purpose of this study was to introduce industry-coupled problem-based learning (IC-PBL) to the course "Understanding Fashion Consumption Trends" for non-fashion majors to reflect the current needs and strengthen the educational effectiveness of the learners through a survey. A seven-step curriculum (introduction to the class, practitioner's problem, learner's problem analysis, organizing concepts related to variables, information collection and scenario writing, presentation and scenario proposal, and evaluation) not only enhanced learners' understanding of fashion consumption trends and the fashion industry but also greatly amplified learners' satisfaction with the class. The results of the survey showed that the seven-step curriculum was effective in increasing learners' self-directed learning ability, problem-solving ability, and confidence in learning. Self-directed learning ability was stronger than other factors, consistent with the core principle of problem-based learning to empower learners to take the initiative and promote self-directed learning. Each factor analyzed was positively correlated.
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