Journal of the Korean Society of Clothing and Textiles
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v.28
no.1
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pp.54-65
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2004
The purpose of this study was to identify the impact of fashion life styles of TV-home shoppers on their fashion goods purchasings. This study analyzed TV home shoppers grouped into clusters based on their fashion life styles and identified their product-related evaluative criteria and purchasing intention according to clusters. This study also analyzed whether there are differences in clusters according to their socio-economic status. Utilizing the convenient sampling method, the sample of the study is composed of women aged over 20 living in the Seoul metropolitan area. Of 380 distributed, 196 useful questionnaires were returned. The data were analyzed using factor analysis, cluster analysis, $\chi$$^2$analysis, and One-way ANOVA. The results are as follows: Regarding fashion life styles, 5 factors, 1) fashion leadership, 2) shopping-involvement, 3) fashion image, 4) economics and 5) anti-fashion attitude were obtained. Based on the factor scores, 4 clusters, 1) aesthetic-orientation, 2) economics and fashion innovation-orientation, 3) conspicuous consumption-orientation and 4) anti-fashion attitude, were identified. Regarding the product-related evaluative criteria, there were significant differences in price, fashionability, design, size, brand reliability, refund policy, and appearances when worn according to clusters. There were also significant differences in purchasing intention when purchasing low price products and fashion items such as under wears, night and home wears, suits, leather and fur clothes, purse and bags, and shoes. Regarding the socio-econmic status, age, marital status, and occupation were significantly different according to clusters.
In this study, an eye-tracking program that can confirm a design cognition process was developed for the purpose of presenting strategic methods to create fashion images, and the program was used to identify what effects fashion models' external characteristics have on the cognition of design. The data for analysis were collected through an eyemovement tracking experiment and a survey, with the focus on the research problem that differences in models' external uniformity will lead to differences in the eye movement for perceiving models and design as well as the image sensibility. The results of the analysis are as follows. First, it was confirmed that the uniformity of model types and the simplicity/complexity of design led to differences in the eye movement directed at design and models and the gaze ratio. Consequently, it is deemed that models should be selected in consideration of the characteristics of design and the intention of planning when creating fashion images. Second, it was found that in terms of the cognition of design, external conditions of models affect design sensibility. A change in models led to a subtle difference in sensibility cognition even when the design condition did not change. Thus, not only the design but also model attributes are factors that should be considered important in fashion planning.
Journal of the Korean Society of Clothing and Textiles
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v.30
no.7
s.155
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pp.1001-1011
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2006
In the fashion enterprises of today, there are many kind 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 2000, will increase even more in the near future. This study carries out the findings between collaborating companies' and their partners' characteristics and the actual conditions of collaborations through the responses of fashion enterprises' key employees. A questionnaire was answered by 194 key employees of the fashion enterprises in Korea and the analysis was completed by frequency analysis, cross tabulation analysis. The results of this study are the following; 1. Most of the enterprises of the same fashion categories collaborated with the promotion companies as their partners. The enterprises of different fashion categories collaborated strongly with the distribution companies as their partners. The strongest reason of the collaboration was for rapid product supplying to the market. 2. With regard to the management resources, the relationship between the collaborated companies and their partners had been formed by mutual assistance. Also, there were positive relationships between the collaborating companies and the partners concerning business reputation. The results of this study generated some valuable information that can be used in the fashion industry.
The purpose of this study were to identify shopping orientation for fashion outlet consumers and its significance in influencing brand loyalty and shopping satisfaction. This study will propose results which help to better understand shopping orientation of fashion outlet consumers. A questionnaire was administered to 326 20s male and female living in Daegu Gyeongbuk during October of 2008. Data were analyzed by using Factor analysis, Reliability analysis, t-test and Regression analysis. The results of the research are as follows: First, The shopping orientation could be into 5 dimensions: pleasure tendency, fashion tendency, name brand tendency, prudence buying tendency, economic tendency. Brand loyalty were factor analyzed resulting three factors such as brand loyalty, brand care and brand knowledge. Brand loyalty factors of brand loyalty and brand knowledge had a positive effect on fashion tendency, name brand tendency. Brand care has a positive effect on name brand tendency and economic tendency. Second, Shopping satisfaction were factor analyzed resulting five factors such as product, store atmosphere, service store reputation, location convenience and price. Outlet product had a positive effect on fashion tendency, name brand tendency, prudence buying tendency and while all other factors showed a positive effect on preferences to follow trends. However, outlet price had a positive effect on only those consumers possessing a economic tendency.
The purposes of this study were to categorize the fashion involvement of male and female college students in their twenties and to investigate the relationship of the types of fashion involvement to the conformity to TV media stars and information source. The data were analyzed by factor analysis, one-way ANOVA, Duncan test, cluster analysis, cross-tabulation analysis. The results of this study are as follows; 1. Fashion involvement was categorized into four factors; pleasure, fashionableness, symbolism, and availability. The conformity to TV media stars was categorized into fashion conformity, star imitation, interests in TV programs, and interests in stars. Information source was divided into mass media, product information, and personal information. 2. There were significant differences in the conformity to media stars and information source by the different types of fashion involvement. 3. The results for the correlation between the conformity to TV media stars and information source showed that there were significant correlations with all of the factors.
Since the 20th century, there has been a growing interest in the new concept of fractals, a combination of mathematics and art, and the attempt to study the creative spatial aspects of the concept is being made. The purpose of this research is to examine artistic characteristics of fractal dimension and then analyze the types of fractal dimensions expressed in the fashion. Previous literature on fractals and dimension, and visual data on art and fashion collected over the Internet were used for analysis. Fractal dimension refers to the spatial concept of structural dimension of geometrical self-similarity. An analysis of the types of fractals seen in fashion revealed spatial expansion, the repetition in continual figures, superposition accordant to different sizes, and shades of different shapes. The aesthetic characteristics of fractal dimension appearing in fashions were examined based on analyses of fractal dimension types; the inherent characteristics of self-similarity, superimposition, and atypicality were found. Results obtained from this study are expected to be used as basic materials for the application of the design of fractal dimension into various perspectives of fashion.
In 2000s, the rapid growth of domestic and foreign fast fashion brands led to an increase in the frequency of shopping for consumers and a significant reduction in the average life span of fashion products. As the kinds and quantity of fashion products owned by individuals increase, the problem of rational clothing management becomes a new concern. The purpose of this study was to investigate the demographic, socio-psychological and purchase behavior factors influencing the frequency of closet cleanup behavior. A total of 278 questionnaires were analyzed. Frequency, exploratory factor analysis, reliability, t-test and regression analysis were used for data analysis using SPSS 22.0. This study results were as follows. First, the frequency of women's closet cleanup behavior was higher than that of men's closet cleanup behavior. Second, the number of brothers and sisters significantly affected the frequency of closet cleanup behavior. Third, the stronger the attachment to fashion products, the higher the frequency of closet cleanup behavior. Fourth, the lower the fashion product retention tendency, the higher the frequency of closet cleanup behavior. Fifth, the higher the frequency of purchasing fashion products, the higher the frequency of closet cleanup behavior. The results of current study provide various implications for educators and marketers who are interested in reasonable management behavior of fashion goods.
Journal of the Korean Society of Clothing and Textiles
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v.46
no.6
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pp.1004-1022
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2022
This study seeks to investigate K-fashion's external image by examining the trends in global media reporting. It applies Dynamic Topic Modeling (DTM), which captures the evolution of topics in a sequentially organized corpus of documents, and consists of text preprocessing, the determination of the number of topics, and a timeseries analysis of the probability distribution of words within topics. The data set comprised 551 online media articles on 'Korean fashion' or 'K-fashion' published on Google News between 2010 and 2021. The analysis identifies seven topics: 'brand look and style,' 'lifestyle,' 'traditional style,' 'Seoul Fashion Week (SFW) event,' 'model size,' 'K-pop,' and 'fashion market,' as well as annual topic proportion trends. It also explores annual word changes within the topic and indicates increasing and decreasing word patterns. In most topics, the probability distribution of the word 'brand' is confirmed to be on the increase, while 'digital,' 'platform,' and 'virtual' have been newly created in the 'SFW event' topic. Moreover, this study confirms the transition of each K-fashion topic over the past 12 years, along with various factors related to Hallyu content, traditional culture, government support, and digital technology innovation.
The purpose of this study is to identify the antecedents and consequence of role-relaxed consumption. Consumption-related variables were considered as antecedents, and fashion-related variable was considered as a consequence. Hedonic consumption, impulse buying, value consciousness, and brand sensitivity were included as consumption-related variables and fashion consciousness was included as a fashion-related variable. It was hypothesized that hedonic consumption, impulse buying, value consciousness, and brand sensitivity influence rolerelaxed consumption and then influence fashion consciousness. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred twenty seven questionnaires were used in the statistical analysis, exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. While hedonic consumption, impulse buying, value consciousness, and brand sensitivity were uni-dimensions, role-relaxed consumption and fashion consciousness were multi-dimensions. Factor analysis of role-relaxed consumption revealed two dimensions, 'self-centered decision making' factor and 'importance of intrinsic value' factor. In addition, factor analysis of fashion conscious revealed three dimensions, 'individualism' factor, 'dressing style' factor, and 'appearance' factor. Tests of the hypothesized path show that impulse buying and brand sensitivity negatively influence 'self-centered decision making' and that hedonic consumption and value consciousness negatively influence 'importance of intrinsic value'. While 'self-centered decision making'negatively influence 'dressing style' and 'appearance, 'importance of intrinsic value' negatively influences all factors of fashion consciousness. The implications of these findings and suggestions for future study are also discussed.
This study examines changes in consumer perceptions of fashion shows, which are critical elements in the apparel industry and a means to represent a brand's image and originality. For this purpose, big data in clothing marketing, text mining, semantic network analysis techniques were applied. This study aims to verify the effectiveness and significance of fashion shows in an effort to give directions for their future utilization. The study was conducted in two major stages. First, data collection with the key word, "fashion shows," was conducted across websites, including Naver and Daum between 2015 and 2018. The data collection period was divided into the first- and second-half periods. Next, Textom 3.0 was utilized for data refinement, text mining, and word clouding. The Ucinet 6.0 and NetDraw, were used for semantic network analysis, degree centrality, CONCOR analysis and also visualization. The level of interest in "models" was found to be the highest among the perception factors related to fashion shows in both periods. In the first-half period, the consumer interests focused on detailed visual stimulants such as model and clothing while in the second-half period, perceptions changed as the value of designers and brands were increasingly recognized over time. The findings of this study can be utilized as a tool to evaluate fashion shows, the apparel industry sectors, and the marketing methods. Additionally, it can also be used as a theoretical framework for big data analysis and as a basis of strategies and research in industrial developments.
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