The purpose of this study was to investigate the trends of product design for textile convergence wearable smart textile fashion products according to college students' fashion life style. In this study, we used information obtained from a questionnaire issued to 201 female college students who were 20 years old for the final analysis. The questionnaires were to classify female college students groups according to the fashion life style, to examine characteristics, needs and wants of each group. The survey on the tendency of wearable smart textiles consisted of 22 items about concept and type of smart clothing product, functional material and intelligent material, recognition, preference, purchase intention, purchase factor and brand preference tendency. A total of 201 samples were analyzed by factor analysis, cluster analysis, ANOVA, crosstabs and $x^2-test$ using SPSS package program. 'brand preference oriented type was found to be interested in 'wearable' smart clothing product with monitoring function of bio-signal' and 'high functional fiber and textile product', but the credibility of 'smart clothes that can be worn and smart textile products to be useful in modern life' was low. 'fashionable individuality oriented' type showed interest in 'smart clothing and smart product', 'intelligent fiber' and 'wearable smart clothing product with monitoring function of bio-signal', but the preferences of 'light emitting fiber products' was low. 'practically purchasing-oriented' type was very interested in 'high-functional fiber and its textile products', but had inadequate knowledge on 'smart clothing and smart textile product' and showed low interest. Despite the fact that 'wearable smart clothing and smart textile products' are expensive, they were willing to purchase considering practicality and sophisticated style.
This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.
Journal of the Korea Fashion and Costume Design Association
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v.25
no.1
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pp.97-113
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2023
This study investigates the effect of consumers' trust in communication with online fashion mall avatars on performance expectancy and re-use intention. For the empirical study, 207 adults were surveyed using a 5-point Likert scale, and the results were analyzed with SPSS 21.0. The analysis reveals the following results. First, the factor analysis of trust in communication with the avatar, performance expectancy, and re-use intention revealed cognitive and affective trust as subfactors of the trust in communication with the avatar, while purchase choice expectations and performance expectancy were identified as subfactors of performance expectancy for the avatar. A total of five factors, including re-use intention, were recognized. Second, the trust in communication with online fashion mall avatars significantly positively affected performance expectancy for the avatar. Among the subfactors, cognitive trust was determined to have a greater influence on purchase choice expectations than affective trust. Third, the performance expectancy for the online fashion mall avatar significantly positively affected re-use intention. Notably, the subfactor performance expectancy had a greater influence than purchase choice expectations. Finally, trust in communication with online fashion mall avatars significantly positively affected re-use intention. Accordingly, the sub-factor cognitive trust had a greater influence on re-use intention than affective trust. The results of this study are academically significant in that they empirically test the influence relationship between trust in communication, performance expectancy, and re-use intention, considering the personal characteristics of online fashion mall avatars on consumers using the Meta-UTAUT model in the fashion field.
Journal of the Korea Fashion and Costume Design Association
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v.25
no.4
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pp.123-132
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2023
The term 'module' is an architectural term. It refers to the components or systems that make up a finished product. As industries develop, modules have become one of the methods that can create diverse and creative designs. Traditional modular fashion design mainly focused on structural methods, such as the combination, assembly, overlap, and arrangement of modules, as well as the tessellation of geometric shapes. However, in this paper, significance lies in exploring the application of shape grammar, a design method in architecture, to fashion design. It aims to search for ways to express three-dimensional designs, derive designs that can be worn and produced, and propose fashion design by applying the rules of shape grammar to the design process. Through this analysis, the paper aims to examine the methods and characteristics of shape grammar. The research method of this paper is as follows. First, by utilizing optimized programs for implementing the modules of shape grammar, it was possible to propose a method for producing modules of shape grammar and suggest module designs. Additionally, effective methods of representation using the Clo 3D program were explored in the design development process. Second, by applying shape grammar to the fashion design process, five-dimensional modular fashion designs were proposed, including a bolero, dress 1, dress 2, setup, and coat. The proposed modular fashion design using shape grammar in this paper provides a rational design process that differentiates itself from traditional modular fashion design. By formalizing the shapes between modules and creating rules, it overcomes the limitations of design that rely on the designer's intuition or sensibility and enables the development of more diverse modular fashion designs. This application of shape grammar in fashion design can provide an important direction in exploring a sustainable fashion industry.
The purpose of this paper is to compare and analyze the national brand strategies between Korea and Italy and the ragional brand strategies between Jinju in Korea and Como in Italy. The study is conducted via periodicals and publication of related institutions, reports of various newspapers and academic journals, and interviews of Jinju Silk Research Institution and Tessile di Como. This study then examines the implication of the success of Italian national and regional brands to the Korean textile products and the adoptability of Italian brand strategies for Korean textile brand. Our findings suggest that the Italian brands have been successfully developed in terms of product quality and brand marketing based on their traditional products. The findings also indicate that the Korean traditional textile products have the potential to be the world wide products but lack the consist and brand strategies supported by the central government as well as the regional government. This paper further suggests that it is necessary to study the development of brand strategy based on the traditional textile products and its implimentation.
Jeung, Woo Chang;Kim, Sam Soo;Lee, Sang Oh;Lee, Jaewoong
Textile Coloration and Finishing
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v.34
no.3
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pp.197-206
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2022
The purpose of this study was to confirm the optimal spinning conditions for PLA (Polylactic acid) as a fiber forming polymer. According to the melt spinning test results of PLA, the optimal spinning temperature was 258℃. However, it needs to note that relatively high pack pressure was required for spinning at 258℃. At an elevated temperature, 262℃, mono filament was broken easily due to hydrolysis of PLA at a higher temperature. In case of fiber strength, it was confirmed that the draw ratios of 2.7 to 3.3 were optimal for maximum strength of melt spun PLA. Above the draw ratio, 3.3, the strength of the PLA fibers was lowered. It was presumed that cleavage of the PLA polymer chain over maximum elongation. The heat setting temperature of GR (Godet roller) showed that the maximum strength of the PLA fibers was revealed around 100℃. The degree of crystallinity and the strength of the PLA fibers were decreased above 100℃. The optimal take-up speed (Spinning speed) was around 4,000m/min. Thermal analysis of PLA showed 170℃ and 57℃ as Tm (melting temperature) and Tg (glass transition temperature), respectively.
With increasing global interest in environmentally friendly materials and the consequent rise in demand, there is a growing need for alternatives to synthetic fibers, which can cause skin diseases and other side effects. The fashion industry is emphasizing material sustainability owing to concerns about increasing carbon emissions. Moreover, consumers express a strong desire for ecofriendly and sustainable materials. Therefore, clothing brand companies are developing eco-friendly products to enhance their corporate image. Hemp fibers are recognized for their functionality and are utilized as crucial materials in the development of eco-friendly products by global fashion companies. In this study, we produced socks that effectively improve foot health using hemp stem bark extract fibers and demonstrated the positive efficacy of natural fibers through functional and wearability evaluations. Hemp stem bark extract fibers showed 99.9% antimicrobial effectiveness against bacteria responsible for sweat-induced bacterial proliferation and odor, when blended with lyocell fibers and woven into fabric to manufacture socks. Wearability evaluations of these terry cloth socks confirmed a reduction in foot odor and fatigue among the participants with a consumer satisfaction of 4.63/5. These findings confirm the effectiveness and positive impact of the natural antimicrobial properties of hemp fibers and terry cloth structure in improving foot health.
Journal of the Korean association of regional geographers
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v.7
no.3
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pp.91-106
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2001
Local government takes an active role in the (re)making of local socio-economic space. To support such an argument, the three different actions by the local government of Taegu, urban planning and local industrial districts, the establishment of special educational institutions, and textile festival are analyzed. The division of the city's space into residential, commercial, and industrial area by local government constrained the location of local manufacturing industries. It also forced textile industry to move to the outskirts of Taegu. As the education level in South Korea rose after the late 1970s, the local government of Taegu as well as local industrial capitalists had to do something to acquire a stable supply of labor to local manufacturing industries, particularly textile one. After the late 1970s, the special classes for the education of local workers, especially textile ones were established within vocational high school and company-operated high schools were also built in Taegu. Finally, local government started a program of textile festival in 1985. Through textile festival, local government as well as local textile business people tried to reproduce textile industry as the main economic activity of Taegu.
This study analyses support policy and structural change of textile industry in Daegu Kyungbuk region, and suggests major issues for textile industry's innovation. In Daegu Kyungbuk, it was 1999 that a policy, so called Milano Project, in order to promote a textile industry was devised. In 2004, the Regional Industrial Promotion Plan was devised. The plan was born from a view point of establishing a regional innovation system and of promoting the innovative clusters under a knowledge based economy. After then, the Regional Industry Promotion Project or Regional Strategic Industry Promotion Project became a core of regional textile industrial policy. Research results indicated that the first stage Milano project (1999-2003) showed both positive and negative effects. There were no long-term development plan, clear vision and strategy. But, core industrial infrastructure for differentiated product development, such as New product Development Support Center and Dyeing Design Practical Application Center, was constructed. The second stage Daegu Textile Industry Promotion Plan (2004-2008) displayed a significant technological performance and new product sales with the assistance of Kyungbuk province. Also, textile industry revealed positive fruits such as financial structure, productivity, and profitability as a result of strong restructuring. In industrial structure, there was a important change from clothe textile material to industry textile material. Most of textile companies did not showed high capability in CEO's technology innovation intention, entrepreneurship, R&D and human resource competency in compare with other industry. We suggested that Daegu Kyungbuk has to select and concentrate on the high-tech textile material and living textile for sustainable development and competitiveness. We also proposed a confidence and cooperation based innovation network and company oriented innovation cluster.
The purpose of this study was to investigate job stressors, job stress symptoms, and job performance of workers in fashion industry. The data were obtained from questionnaire completed by 529 workers who were employed in textile or clothing manufactures located in Seoul, Daegu, Busan, and Masan area. The SPSS package was used for data analysis which included frequency, mean, correlation, and factor analysis. Job stressors consisted of environmental related stressors, job related stressors(task characteristics and role characteristics) and organization related stressors(organization climate and career development). Most of job stressors were significantly correlated with job stress symptoms but their correlation coefficients were low. Among job stressors, quantitative work overload was found to be a major stressor. Workers in fashion industry appeared to evaluate their job performance relatively good. Also, it was found that behavioral and psychological symptoms were negatively correlated with job performance.
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