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.
This study aims at providing basic data for product planning to design smart clothing and to develop applications, focusing on consumers by satisfying their emotions through analyzing emotional factors on smart clothing, comparing emotional differences between conventional clothing and it, reviewing changes of consumers' emotion by integrating the product and clothing and researching differences of preference and purchase intention between smart clothing and traditional one. As the results of the study, emotional factors for smart clothing were analyzed with total 6 including 'technical', 'comfort', 'aesthetic', 'modern', 'fun' and 'multiple' factors. Among them, except for 'comport', five emotional factors showed emotional factors between conventional sport-casual clothing and smart clothing. That is, emotional factors of 'technical', 'aesthetic', 'modern', 'fun' and 'multiple' were emphasized more in smart clothing than conventional ones, indicating that they should be considered in planning products of smart clothing. Though there was no significant difference of preference between smart clothing and conventional clothing, in case of comparison of averages, that of smart clothing was a little higher. For purchase intention, smart clothing was lower than the conventional clothing. So preference seems to be not directly related to consumers' immediate purchase. To make consumers' interests and preference to result in purchase, it is necessary to develop smart clothing with more various applications and to prepare commercializing strategies. As the results of the analysis on free-descriptive questionnaire survey, consumers were interested in development of smart clothing to help diet with functions including energy harvesting from body motion, calorification and perspiration, measurement of motion and calory consumption as well as health-care type smart clothing to measure heartbeat and ECG. Reflecting these requirements from the consumers, they should be utilized as guidance to develop smart clothing in the future.
Journal of the Korea Fashion and Costume Design Association
/
v.13
no.1
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pp.11-20
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2011
The yarn company needs to conform to the consumers' sensibility, which has become diverse, in developing its yarn, which fixes the matter property and the sensibility in knit product. In particular, the development of fancy yarn, which is expected to have great influence upon the sensibility of material due to being a diverse form of knit yarn, may increase activation of the knit industry. Eight different fancy yarns were chosen: loop, Ratine, tam tam, fur 1, fur 2, chenille, ladder and tape yarn. The manufacturing methods of these yarns are all different. The sensibility was evaluated through a questionnaire targeting 60 women in their 20s of the expert group. Factor analysis, reliability, correlation analysis, ANOVA, Duncan, and regression analysis were carried out by using SPSS 12.0. First, according to the results of analyzing the sense factor, three factors were extracted: 'inflexibleness/rugged', 'lightweight' and 'smooth'. 'Activity', 'grace' and 'purity' were extracted in regard to the sensibility factor. H3(tam tam) sample showed high value in all of preference, purchase intention and word-of-mouth intention. To increase consumers' preference, purchase intention, and word-of-mouth intention, its effect is thought to be likely to be possibly seen only when increasing the factor of pure and simple grace and when reducing the hard and stiff inflexibleness/ruggedness sense. It is expected to be likely to possibly secure marketability as knit product, which has product competitiveness, given the product planning in a company of producing knit.
The purpose of this study was to provide useful information which would help web-site planning and design, product composition, and service of internet shopping malls. The sample consisted of 693 university students who had visited(Ed- in this case 'visit' means to enter an internet site; note also that the past perfect tense already conveys the meaning of 'experience') internet fashion shopping malls or purchased clothing through internet. Data were analyzed by factor analysis, frequency, t-test, and ANOVA(LSD) using SPSSWIN. The results were as follows: 1) The evaluative criteria of internet fashion shopping malls could be categorized by 4 factors: product presentation method, design, product information, sales promotion & additional service; the first of which was found to be the most important. These criteria showed significant differences according to the period and time of access. Furthermore, the degree of consideration for these criteria was high, whereas the degree of satisfaction was low. 2) The evaluative criteria of clothing could be categorized by 6 factors: general characteristics of products, wearing comfort & ease of management, popularity & status symbolism, service, aesthetics, and textiles materials; the first of which was found to be the most important. These criteria were significantly different according to the periods, time, and purposes of access, and purchase experiences.
Journal of the Korean Society of Clothing and Textiles
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v.48
no.4
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pp.774-792
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2024
Unlike traditional retail formats, the metaverse offers diverse shopping experiences, ranging from content that mimics reality to content that transcends reality based on its characteristic of virtuality. This study elaborates on the concept of virtuality within store environments and investigates how the virtuality level of a metaverse store influences consumers' creative consumption by mediating the flow experience. Additionally, it examines the interaction effect of creative product-seeking tendencies and individual characteristics on the relationship between flow experience and creative consumption behavior. A web-based experiment was conducted on young Korean female adults who experienced metaverse shopping. Ninety-one samples were analyzed using exploratory factor and bootstrap analyses with SPSS Macro process Models 4 and 14. The findings demonstrate that store virtuality (low vs. high) increases consumers' purchase intentions of creative fashion items by enhancing their flow toward the shopping experience. Furthermore, the effect of flow experience on creative consumption is strengthened when consumers have low creative product-seeking tendencies. This study contributes to expanding the concept of virtuality in virtual retailing and provides insights for fashion retailers planning to create virtual shopping spaces within the metaverse platform.
Journal of the Korean Society of Clothing and Textiles
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v.36
no.4
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pp.432-442
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2012
This study investigated the practical use of educational subjects and contents of materials in the fashion industry field and analyzed all data from respondents depending on business area and years of work in order to develop appropriate educational methods and courses. The survey was conducted with 151 questionnaires; 148 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, and ANOVA. The factors of educational subjects for Clothing and Textiles were classified into three categories of product planning, manufacturing and basic information, and manufacturing-related subjects (including materials); subsequently, these showed a high practical use in the fashion business. There were significant differences in the practical use of educational subjects that depended on business areas and years of work for respondents. In the case of education of materials, the contents of fibers, knit fabrics and textile planning were used the most in various business areas; in addition, there were also significant differences in the practical use of knits, textile care, textile planning and trade, and textile retailing depending on business area.
Journal of the Korean Society of Clothing and Textiles
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v.30
no.5
s.153
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pp.674-683
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2006
The purpose of this study was to examine the effects of T-shirts product type and apparel benefit on consumer preference and purchasing intention. Data for the study were obtained by $3\times2$ mixed factorial design. The subjects were two hundred and thirty college male and female students. The data were analysed by factor analysis, cluster analysis, and ANOVA by using the SPSS program. The results of this study indicated that benefit did not have effects on consumers purchasing intention but significant influences on consumer preference for brand-parody products. For brand-copy products, benefit influenced the purchasing intention, and did not influence the consumer preference. This study suggested that new fashion trends, in association with consumer's benefit, have effects on consumer's purchasing behavior. The result of this study is likely to be useful in planning marketing strategy related to product type and new fashion trends.
Journal of the Korean Society of Clothing and Textiles
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v.31
no.2
s.161
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pp.225-235
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2007
The purpose of this study is to grasp the character of consumers and the situation of domestic kidult fashion market. By grasping the distribution of kidult generation and the factors of product-selection based on products images, this research could be a substantial data to kidult associated company product planning and marketers. Subjects for this study were 213 Daegu women from 20 to 30 yearn of age who have high propensity to kidult. The statistical treatment of material used by SPSS 1.0 program consists of frequency analysis, factor analysis, multiple regression analysis, cluster analysis, and t-test. As a results, the characteristics of kidult consumers are classified as six factors. On image toward of kidult fashion goods, there was a significant difference 20 and 30 aged generation. According to fashion goods group, each group recognized on image of fashion products as follow: Group A is 'fancy', group B is 'childish', group C are 'familiarity', group D was recognized as 'fancy' and was identical to A on adjective expression, but was different A on recognition. All consumer characteristics of fun, character, girlish, nostalgia have a significant relation with the recurrence of products selection factor, and its order was character, girlish, nostalgia, and fun.
Journal of the Korean Society of Clothing and Textiles
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v.32
no.5
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pp.692-703
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2008
In the fashion enterprises of today, there are many kinds of inter-enterprises' collaborations which are related to the strategic management for reinforcing their competitiveness in various fields. These inter-enterprises' collaborations, which began to increase in the year 2000, will increase even more in the near future. The study investigated the differences of collaboration motive types in collaboration areas, trust/devotion, performance and satisfactions of collaborations, and characteristics of collaborated companies and their partners. A questionnaire was administered to 194 key employees of the fashion enterprises in Korea and the analysis was performed by factor analysis, cluster analysis, ANOVA, and $X^2$ test. The results showed that the collaboration motive had four factors: economic efficiency, business expansion, product planning improvement, and brand competitiveness increase. The cluster analysis showed that there were four collaboration motive types: brand competitiveness type, economic efficiency type, product planning type, and passive collaboration type. There were significant differences among the collaboration motive types in regard to collaboration areas, trust/devotion, and the performance/satisfactions of collaboration, and characteristics of companies. The brand competitiveness motive type tended to choose the marketing and brand collaboration areas, had a higher trust, and had higher scores on the performance and satisfactions of collaboration than did the other types.
Journal of the Korean Society of Clothing and Textiles
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v.34
no.2
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pp.252-265
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2010
Most luxury fashion brands have a strong brand identity and the product design characteristics of a brand are critical factors that influence brand identity. The design of products influence brand identity and play an important role in the choice by consumers in which brand to purchase. This study investigates the impact design characteristics of luxury brands on brand attitudes as well as purchase intentions in the examination of the differences in the impact influence by product category and consumer characteristics. The product design of brands was evaluated and measured by innovative and traditional characteristics. The product categories were divided into apparel, bags, shoes, and accessories. The consumer characteristics used in this study are fashion involvement, age, income, and the amount of money used for purchasing fashion products. Sample brands, Louis Vuitton, Chanel, Hermes, Burberry, and Gucci, were extracted from the Intel-brand's Luxury Brand Ranking 2008 and pilot tested for appropriateness. The data collected from 120 luxury consumers and 92 samples were statistically analyzed with SPSS 15.0, reliability test, factor analysis, ANOVA, frequency test, regression, and t-test. The findings are as follow. First, luxury brands were divided into two groups by innovative design characteristics and traditional design characteristics; innovative design characteristics show a significant influence on brand attitude and purchase intention. Second, only fashion related behavior factors among consumer characteristics became moderators when design characteristics influenced brand attitude and purchase intention. Third, the differences in purchase intention affected by design characteristics were found in bags, shoes, and accessories category. It is necessary for luxury brands to focus on innovative design characteristics and to specify the different needs of consumers through fashion related behavioral factors. This research will be useful to luxury brands in designing products and planning marketing strategies by offering specific information for luxury brand consumers.
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