• 한국의류학회지
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• 제34권8호
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• pp.1319-1330
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• 2010

This study examines the underwear purchase behaviors of female consumers based on fashion leadership. Data research was conducted on 348 females in their 20s and 30s located in the city of Seoul & the surrounding Gyeonggi provincial area. The SPSS 17.0 software program was used to conduct data analyses such as descriptive statistics, frequency analysis, factor analysis, cluster analysis, ANOVA, and Scheffe's test as a post-hoc analysis. The results of this study are as follow. 1. Fashion leadership was identified with four factors; fashion opinion leadership, fashion innovation, confidence of fashion, and potential fashion leadership. Customers were segmented into the following three subdivisions: fashion leaders, fashion followers, and fashion laggards. 2. The factors derived from the factor analysis of underwear purchase motive included pursuit of fashion, economic, and fashion coordination. Fashion leaders highly regarded the pursuit of fashion & fashion coordination, but fashion laggards regarded economics highly. 3. The factors derived from the factor analysis of selection criteria included design attributes, brand attributes, functionality of clothes, and practicality. Fashion leaders regarded the attributes of design and brands highly; fashion followers regarded design attributes highly. 4. The factors derived from the factor analysis of underwear attitude included fashion/shopping orientation, fashion coordination orientation, and wear sensation/modesty orientation. Fashion leaders regarded fashion, shopping, design, and fashion coordination orientation highly relative to fashion followers and fashion laggards. 5. Fashion leadership showed significant differences in purchase motives, selection criteria, and underwear attitude.

• 패션비즈니스
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• 제26권6호
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• pp.1-13
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• 2022

The purpose of this study was to find out the type of fashion codes hip-hop fashion has in contemporary Chinese fashion, and the frequency and characteristics of each fashion code. Text mining, which is the most basic analysis method in big data analyticswas used rather than traditional design element analysis. Specific results were as follows. First, hip-hop initially entered China in the late 1970s. The most historical turning point was the American film "Breakin". Second, frequency and word cloud analysis results showed that the "national tide" fashion code was the most notable code. Third, through word embedding analysis, fashion codes were divided into types of "original hip-hop codes", "trendy hip-hop codes", and "hip-hop codes grafted with traditional Chinese culture".

• 한국의상디자인학회지
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• 제24권3호
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• pp.1-15
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• 2022

The purpose of this study is to compare and analyze the perception of men's fashion before and after the COVID-19 pandemic. TEXTOM allowed the collection of Big Data based on the term 'men's fashion'. As for the data collection periods, Jan. 1, 2018 to Dec. 31, 2019 was set as the pre-COVID-19 era, while Jan. 1, 2020 to Dec. 31, 2021 was set as the post-COVID-19 era. The top 50 words in terms of appearance frequency were extracted from the data. The extracted words were processed using network centrality analysis and CONCOR analysis using Ucinet 6. Research findings were as follows. 1) In the pre-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'men's fashion', 'brand', 'daily look', 'suit', and 'department store'. These words came up with a high TF-IDF values. Network centrality analysis discovered that 'men', 'fashion', 'men's fashion', 'brand', and 'suit' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and styles', 'fashion show', 'purchase', and 'collection'. 2) In the post-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'brand', 'men's fashion', 'discount', 'women', and 'luxury'. These words also displayed high TF-IDF values. Network centrality analysis found that 'fashion', 'men', 'brand', 'men's fashion', and 'discount' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and style', 'fashion show', 'purchase', and 'situation'. 3) Before the outbreak of the pandemic, men were interested in suits to wear to the office, daily look, and fashion shows in Milan and Paris. They often purchased menswear in multi-brand and open stores. However, they were more interested in sneakers, casual styles, and online fashion shows as social distancing and working from home became common. Most purchased menswear through online platforms.

• 복식문화연구
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• 제28권4호
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• pp.562-571
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• 2020

Intermedia refers to the convergence of media. The advance of intermedia has not only facilitated the delivery of brand messages in contemporary fashion shows but also facilitated interactive communication. This study investigated the mediating roles played by various media in fashion and fashion shows, focusing on the phenomenon of intermedia in contemporary fashion shows. To investigate the impact of intermedia on contemporary fashion shows, we conducted a social network analysis-a promising approach for research into fashion trends. Analyzing 159 fashion-related articles published in the 2000s, we extracted intermedia-related words (n=253). The relation-ships between keywords made an analysis of between centrality, and cluster variables applied Clauset-Newman-Moore by using KrKwic and NodeXL programs. The results of the between centrality analysis indicated that the most important factors in contemporary fashion shows are "models" and "stages." We found that the impacts of intermedia on contemporary fashion shows can be divided into four categories: "model performance," "symbolic stage management," "new media utilization," and "convergence in arts." Our analysis thus identified considerable synergy between the characteristics of intermedia and contemporary fashion shows. These results have found intermedia-related commonalities in intermedia and fashion show, and this might increase customer interest in fashion, a positive outcome for the fashion industry.

• 한국의류산업학회지
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• 제10권4호
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• pp.499-505
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• 2008

The Purpose of this study is to research the relations between brand attachment and brand loyalty depending on symbolic consumption propensity toward fashion goods. Subjects were 391 women in their twenties to fifties who live in Gyungsang Province and have purchased the fashion goods. Frequency analysis, reliability analysis, factor analysis, multiple regression analysis, and one-way layout variance analysis were conducted using SPSS 13.0 as data analysis. The findings from the analysis are described in the following: Uniqueness and materialism out of the symbolic consumption propensity toward fashion goods had positive effects on the elements of brand attachment such as love, care, and knowledge. Brand loyalty was influenced positively by social face sensitivity and materialism among symbolic consumption toward fashion goods.

• 한국의류산업학회지
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• 제25권5호
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• pp.549-559
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• 2023

Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

• 한국의류산업학회지
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• 제21권1호
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• pp.1-12
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• 2019

The purpose of this study is to examine the fashion characteristics of fashion magazine cover by comparing and analyzing the formative characteristics of fashion, visual design characteristics and illustration vocabulary on the cover of 3 fashion magazines. The data analysis criteria consisted of the formative elements of fashion (fashion design element, fashion coordination element) and visual design element (color, illustration lexical layout, model photograph type). Data analysis methods were statistical analysis, stepwise lexical analysis, and content analysis. The results of the study are as follows. First, the formative characteristics of fashion on the cover of fashion magazines show that ELLE is a feminine and elegant characteristics, VOGUE is a modern, chic and mannish characteristics, and W is avant-garde and neutral characteristics. Second, visual design characteristics on the cover of fashion magazines, ELLE and VOGUE use modern and simple modern sensibility by using monotonous background color and background color number, and W showed original image characteristic by using various colors. Third, as a result of the illustration lexical analysis on the cover of fashion magazines, 4 core keywords of trend, star, event, and life appeared in 3 magazines in common. Elle differentiates by innovation, Vogue by discrimination, W by reconstruction.

• 패션비즈니스
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• 제23권3호
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• pp.51-66
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• 2019

The aim of this study is to identify research trends of "Journal of Fashion Business" by analyzing the keyword network of the paper published between 2006 and 2017. The papers selected for analysis in the study were 287 fashion design articles and 281 fashion marketing articles published between February 2006 and December 2017 and titles, volumes, publishing years, authors, keywords, and abstracts of each paper were collected for data analysis. The research was carried out through selection, collection of article data, keyword extraction and coding, keywords refinement, formation of network matrix, and analysis and visualization process. First, based on the title of the paper used in the analysis, the fashion design/aesthetics, marketing/social psychology, clothing materials, clothing composition, and other fields were classified. Research analysis used the Netminer 4 (Ver.4.3.2) program. Results indicated showed that the intellectual structure of the "Fashion Business" research paper showed key word changes over time, and the degree centrality and between centrality of the keywords.

• 패션비즈니스
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• 제16권1호
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• pp.26-40
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• 2012

The purpose of this study is to examine the fashion lifestyle variable of global consumers and to compare among US, Chinese and EU consumers. The data were collected in US(n=749), China(n=702) and EU(n=1083) from 2008 to 2010. For analysis, factor analysis, reliability analysis, K-means cluster analysis and chi-square analysis of SPSS 18.0 are used. The research results are as follow: First, it is shown that significant lifestyle factors of global fashion consumers are "adventure seeking", "fashion-oriented", "conspicuous consumption", "leadership", "brand-oriented", and "DIY". As a result of the cluster analysis of lifestyle types, four cross-national market segments are identified. These segments can be labeled as follows: "conservative fashion-oriented group", "passive consumer group", "neutral consumer group", "active fashion-oriented group". Second, findings also reveal that fashion lifestyle segments had meaningful differences between nationality and by year. Third, the US consumers tended to have conservative fashion-oriented lifestyle in 2008, however global consumers were changed to have active fashion lifestyle in 2010. This research will be useful to global brands in planning marketing strategies by offering specific information for global consumer fashion lifestyle.

• 복식
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• 제59권6호
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• pp.16-28
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• 2009

This study examined relationship among fashion product attributes of schoolbag, product satisfaction and repurchase intention. Total 315 questionnaires were distributed to the female/male students in Daegu and GyeongJu. Frequency analysis, factor analysis, reliability analysis, multiple regression were conducted using SPSS 13.0K statistics program as data analysis. The independent sample t-test was also conductd to examine the differences among sex, domicile, middle and highschool students. The findings hum the analysis are described in the following: First, female students is higher subjective fashion product attributes(fashion, individuality, refined) and objective fashion product attributes(design, color) importance than male students in purchasing schoolbag. High school students is higher subjective fashion product attributes(fashion, individuality) and objective fashion product attributes(brand, color) importance than middle school students in purchasing schoolbag. Second, product satisfaction are positive influenced by practicality and individuality of subjective fashion product attributes. Product satisfaction are not influenced by fashion and refined of subjective fashion product attributes. Third, product satisfaction are positive influenced by brand and design of objective fashion product attributes. Product satisfaction are not influenced by price and color of objective fashion product attributes. Forth, repurchase intention in schoolbag are strong positive influenced by product satisfaction.