• Journal of Fashion Business
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• v.18 no.5
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• pp.1-14
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• 2014

The purpose of this study was to analyze body mass index of women in their twenties and investigate the relationships of body attitude and clothing attitude. To achieve the purposes of this study, a questionnaire was conducted with 398 people from May 2 to May 30, 2013. The final data was analyzed with spss 18.0 program. The results were as follows: First, I found that body attitude had this order: Feeling fat, Lower body fatness, Salience of weight and shape, Attractiveness, Strength and fitness, and Body disparagement Secondly, there were significant differences of body attitude based on demographic characteristics and body mass index. Thirdly, I found that clothing attitude was classified into four factors of Personality pursuit, Body complement, Appearance ostentation, and Social approval. Fourthly, there were significant differences of clothing attitude based on demographic characteristics and body mass index. Fifthly, there were significant relations of body mass index, body attitude, and clothing attitude of women in their twenties. Thus, I found that body mass index and body attitude were related to clothing attitude.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.12
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• pp.1440-1453
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• 2011

Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.304-314
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• 2023

The rapid development of digital technology is diversifying the fashion industry by influencing both the manufacturing processes and the characteristics of fashion products. Although various smart clothing technologies are being developed as part of the government's technology development policy, the number of smart clothing products available to consumers in stores remains very limited. To address this issue, this study analyzes the key attributes of smart clothing as expressed in consumer language. The CIT (Critical Incident Technique) research method was used, and data were collected through an online survey. The study focuses on identifying potential factors that may influence the development direction or strategy of smart clothing. By classifying past experiences and attitudes towards smart clothing into positive and negative categories, it was found that positive responses to smart clothing were heavily influenced by expectations from technology and convenience. Participants' experience with smart technology has had a positive impact on their evaluation of smart clothing. Consumers with negative attitudes towards smart clothing expressed expectations for new benefits resulting from technological development, and indicated that they would consider purchasing such clothing in the future when design and technology improve. Ultimately, this study provides a valuable reference for the development of smart clothing products in Korea by analyzing consumer experiences and acceptance conditions towards smart clothing.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.515-526
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• 2009

From traditional ceremony to science technology, origami was used as technique for artistic creativity and functionality based on formative characteristics. The purpose of this study is to analyze the expressive characteristics of functionality in fashion design using origami technique. The method of this study was to analyze recent documentaries, fashion books, fashion magazines, internet web site and so forth. The results were as follows: In various fields of design, the category of the expressive characteristics was classified as efficient correspondence of space, compositive convergence of function, variable potentiality of form and human ergonomic optimum. In recent origami fashion based on functionality, the efficient correspondence of space was expressed constructive or decorative pocket design, using on clothing surface and varied design by lifestyle. The compositive convergence of function was expressed innovative connection of fashion items or non-fashion items and deconstructed classical clothing pattern. The variable potentiality of form was expressed control of form by irregular fold, dynamic metamorphosis by organic fold and creation of varied clothing silhouette. The human ergonomic optimum was expressed metamorphosis mechanism from two dimension to three dimension, suitable construction to physical ability and limit and organic form based on articular folding. The functional origami fashion means reflection of nomadic lifestyle, maximum of usability, pursuit of playful sensibility, creation of new body aesthetic and pursuit of technology and humanism. And the result of these study may be used for creative inspiration in fashion design because of unique characteristics.

• The Research Journal of the Costume Culture
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• v.10 no.5
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• pp.493-503
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• 2002

This study examined consumer characteristics and consumers' clothing purchase behavior for each of the four fashion brand types. The ultimate purpose of this study is to suggest the most effective marketing strategy for competitive advantage in fashion brand strategy. The subjects selected for the final analysis are 412 women of age 20 thru 34 in Seoul and areas. The data were analyzed using frequency, percentage, factor analysis, chi-square test, ANOVA, duncan test. The results of our study indicate that it is possible to meaningfully describe and contrast four brand types based on consumer's characteristics and purchase behavior. 1. The clothing brand is classified into four types : Designer brand 10.9%, National brand 27.2%, Middle-price brand 36.2%, Low-price brand 25.7%. 2. There are significant diferences according to four brand types in the demographic traits such as age education and income the average monthly spending on clothing. 3. There are an important discrimination according to tow brand types in their clothing purchase behavior such as information usage, clothing choice criterion and brand choice motivation. 4. Based on the result of this analysis and the review of literature, the brand strategy is suggested that characteristic and products development is efficient way to each brand consumers' purchase need. Therefore each brand which pursue an added value must frame marketing strategy on the basis of the target consumers' sensitivity characteristic according to the fashion consciousness.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1560-1571
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• 2006

The purpose of this study is to analyze relations between digital characteristics and formative features of fashion design in digital era, to find out the best way to make desirable clothes in the future affected by digital characteristics. The methods of this study are documentary research of previous studies and case study. For the study of formative features of fashion design, 100 kinds of pictures have been selected from photographs in fashion magazines, professional books and internet sites. In the theoretical study, digital characteristics are limitless repetition, compressibility, interactivity, ease of deformation and mobility. And formative features of digital design are plasticity & geometry, assemblage, joints & connections, transparency and deformation. The results of analysis are as follow. Formative features of fashion design in digital era are classified nonlinearity, variability and hybrid. There are organic relations between digital characteristics and formative features of fashion design as well as between digital characteristics and formative features of digital design. Also, there is significant similarity between formative features of digital design and formative features of fashion design in digital era.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.2
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• pp.161-174
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• 2015

This study investigates relationships among mobile fashion shopping characteristics, perceived usefulness, perceived enjoyment, and purchase intention as well as examines the mediating effect of ease of use in mobile fashion shopping. A final sample of 379 (from the distributed questionnaires) was used for data analysis. The statistical analyses used for the study were PASW 18.0 to verify the reliability of items and AMOS 16.0 to conduct confirmatory factor analysis and structural equation modeling. The results were as follows. Both measurement models and structural models showed an acceptable model fit. Three constructs of mobile fashion shopping characteristics were significantly associated with perceived usefulness, perceived enjoyment, and ease of use. In addition, ease of use influenced perceived usefulness and perceived enjoyment. Perceived usefulness and perceived enjoyment had a positive impact on attitude and attitude influenced purchase intention positively. Finally, there was a mediating effect of ease of use on the relationship of mobile fashion shopping characteristics, perceived usefulness and perceived enjoyment. The findings provide useful implications for fashion marketers to build effective mobile fashion shopping strategies.

• Journal of Fashion Business
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• v.27 no.4
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• pp.1-20
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• 2023

This study proposes the practical design elements of sustainable fashion by understanding the values of the MZ generation and analyzing the design characteristics that can extend the life of clothing. The theoretical concept of sustainable fashion through previous studies was reviewed and in-depth interviews were conducted with the MZ generation on "design characteristics of clothes that they have actually used for a long time." The result was drawn by approaching the constant comparison method through the qualitative methodology. As a result of the study, the design characteristics of clothes that can be worn for a long time are as follows. First, simple design pursues simplicity that is not excessive to the essential characteristics of clothes. Second, sturdy material is durable and not easily damaged. The clothing storage method and laundry method were also factors that could extend the life of the garment. Third, emotional design is a design that fits well with your mood and body type and gives a special meaning to your emotions. This study is meaningful in suggesting elements necessary for extending the life cycle of clothing and providing basic data that can be applied to the practical design steps of the fashion industry.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.547-558
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• 2004

The purposes of this study were to classify shopper types based on clothing shopping orientations and to identify the differences in store selection criteria and demographic characteristics by shopper types. The questionnaire was administered to female and male undergraduate and graduate students living in Seoul. Of 330 returned questionnaires, 319 were used in the statistical analysis which were factor analysis, cluster analysis, $\chi$$^2$-test, and One-way ANOVA. The results of this study were as follows: 1) Clothing shopping orientations had six factors: recreational shopping, name conscious shopping, economic shopping, fashion oriented shopping, convenience shopping. and individualistic shopping. Cluster analysis identified that clothing shopping orientations had four groups: recreational cluster, individualistic cluster, demanding shopper cluster, and convenient brand conscious shopper cluster. 2) Clothing shopping orientations were significantly different in relation to the demographic characteristics such as gender, major field of study, expenditure on clothing, pocket money, and family income level. 3) Store selection criteria had five factors: service quality, physical store environment, sales personnel, shopping convenience, and other attractions. 4) There were significant differences in physical store environment, shopping convenience, and other attractions according to the shopper clusters.