• International Journal of Human Ecology
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• v.5 no.2
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• pp.1-12
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• 2004

This study aimed to explore how India madras fashion was diffused in the American women's costume of the different social levels from 1960 to 1975, by using fashion illustrations such as photographs, drawings and advertisements collected from fashion magazines. The purpose was to obtain data for high fashion(Vogue), mainstream fashion(Mademoiselle) and college newspapers for youth fashion. The data were incorporated from 439 clothing items classified by different categories over the 16-year period. The results indicated that the appearance of madras in the American women's fashion in all social classes supported the idea that fashion change during this period accompanied a concurrent change in social environment. In America during the 1960s when there was strong influence of youth counterculture and interest was high on Indian culture, this corresponded to the time of maximum popularity of madras observed in American fashion in general from 1965 to 1971. Though the Indian influence on fashion in the sixties was often ascribed solely to youth counterculture, it is evident that different social groups-high and mainstream social classes, responded to the appeal of Indian culture in different ways.

• Journal of the Korean Society of Costume
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• v.50 no.8
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• pp.87-97
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• 2000

The purposes of this study are to classify the male consumers in new generation by evaluating the fashion mania elements and to examine the differences among consumer groups in product attributes, benefits, dressing for self and others, and sensation seeking tendency. Fashion mania elements are compose of purchase frequency, the storage of clothes, the affection toward clothes and fashion knowledge. Data were obtained from 492 adult male living in Seoul and Kyunggi Do. Statistics used for data analysis were frequency, means, one-way Anova, Duncan's multiple range test, factor analysis, cluster analysis using Spss 9.0. The results can be summarized as follows: There consumer groups are identified based on the fashion mania elements: fashion mania, fashion interests, non-fashion mania. The fashion mania group has positive fashion behavior and high fashion attitude, the fashion interests group has high fashion attitude and light fashion behavior, non fashion mania group has light fashion attitude and behavior. Fashion mania group regard intrinsic attributes very highly in order to express individuality, shows the tendency to dress for self strongly rather than to dress for others. And fashion mania group shows a high sensation seeking tendency compared with the remaining groups.

• Journal of Fashion Business
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• v.14 no.3
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• pp.64-74
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• 2010

The purpose of this study is to broaden the realm of the fashion design using print hereafter and to urge designers to the better quality design by presenting successful case. As a method of the study, the literature and visual data in this study were reviewed focusing on the 1960's, which was Pucci's golden age. For the historical background, textual and visual data related to sixties fashion and Italian fashion were referred. Foreign literature was investigated to study life of Pucci and his design tendency in fashion because domestic papers and research data were rare. Out of this, characteristics of fashion design of Pucci and conclusion were extracted. Emilio Pucci was born to an illustrious Florentine aristocratic family in 1914. He was a designer, businessman and politician. Pucci's design has following characteristics. Firstly, gorgeous geometric prints with brilliant colors were key factor in Pucci's fashion design. Secondly, Pucci's design in fashion was a luxury sporty casual style symbolizing wearer's status and position in society. Thirdly, Pucci liberated the wearer's body using light and stretch material matching comfortable and active style. Lastly, Pucci developed total fashion dealing with various items widely including clothes and non-clothing products.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.545-556
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• 2022

To overcome the pandemic, a new strategy for innovation is in demand throughout the value chains of the fashion industry that emphasize the importance of fashion technology. Accordingly, as various viewpoints and fields of debate are unfolding to consider the direction of change led by fashion technology, it is necessary to make an active value judgment precedent by understanding the differences between various opinions. This study aims to derive keywords from fashion technology used during the pandemic, to infer the characteristics of each type of perspective and to understand their characteristics. For the research, this study combines text mining analysis and content analysis. Text mining analysis is used to find statistical patterns by collecting keywords from big data from online media, and content analysis is used to interpret the data qualitatively. After analyzing the results of this study, the following observations are made. First, the perspective of positive acceptance seeks to maximize the perception and sensory action of fashion through technology; this amplifies experience, an opportunity for innovation and efficiency. Second, critical vigilance highlights the side effects of radical changes in fashion technology, characterized by concerns about capital-centered polarization, threats to human rights, and infringement of creative thinking. Lastly, the perspective of gradual adoption is the gradual convergence of technologies, characterized by the pursuit of an appropriate balance.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.291-306
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• 1997

The purposes of this study were 1) to identify the gender differences in the perception of sexuality in jeans fashion advertising 2) to identify the differences between fashion opinion leaders and followers in the preferences of advertisements and followers in the preferences of advertisements and intentions to buy the advertised jeans in highly and low sexual advertising. The data were collected via a questionnaire from 441 collesge students(female=225, male=216) living in Seoul. Korea, and analyzed by t-test. The results of this study were as follows: First there were significant differences between male and female in the perception of sexuality in jeans fashion advertising. Second to significant differences between fashion opinion leaders and followers in intentions to buy the advertised jeans of highly sexy advertisements were found in the data collected from male. But there were not significant differences between fashion opinion leaders and followers in preferences and intentions to buy the advertised jeans of highly sexy advertisements in female's data. Third there were significant differences between fashion opinion leaders and followers in the preference of low sexy advertisements in female's data. But there were not significant differences between fashion opinion leaders and followers in preferences and intentions to buy the advertised jeans of low sexy advertisements in male's data.

• Journal of Fashion Business
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• v.22 no.6
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• pp.83-93
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• 2018

The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users' perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user's expectation confirmation also significantly affected the users' continuous usage intention.

• Journal of Fashion Business
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• v.26 no.3
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• pp.138-154
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• 2022

The purpose of this study is to identify the characteristics of domestic American casual fashion trends using big data text mining analysis. 108,524 posts and 2,038,999 extracted keywords from Naver and Daum related to American casual fashion in the past 5 years were collected and refined by the Textom program, and frequency analysis, word cloud, N-gram, centrality analysis, and CONCOR analysis were performed. The frequency analysis, 'vintage', 'style', 'daily look', 'coordination', 'workwear', 'men's wear' appeared as the main keywords. The main nationality of the representative brands was Japanese, followed by American, Korean, and others. As a result of the CONCOR analysis, four clusters were derived: "general American casual trend", "vintage taste", "direct sales mania", and "American styling". This study results showed that Japanese American casual clothes are influenced by American casual clothes, and American casual fashion in Korea, which has been reinterpreted, is completed with various coordination and creative styles such as workwear, street, military, classic, etc., focusing on items and brands. Looks were worn and shared on social networks, and the existence of an active consumer group and market potential to obtain genuine products, ranging from second-hand transactions for limited edition vintages to individual transactions were also confirmed. The significance of this study is that it presented the characteristics of American casual fashion trends academically based on online text data that the public actually uses because it has been spread by the public.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.5
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• pp.804-821
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• 2023

This study examines current trends and perceptions of veganism and vegan fashion in Korea, China, and the United States. Using big data tools Textom and Ucinet, we conducted cluster analysis between keywords. Further, frequency analysis using keyword extraction and CONCOR analysis obtained the following results. First, the nations' perceptions of veganism and vegan fashion differ significantly. Korea and the United States generally share a similar understanding of vegan fashion. Second, the industrial structures, such as products and businesses, impacted how Korea perceived veganism. Third, owing to its ongoing sociopolitical tensions, the United States views veganism as an ethical consumption method that ties into activism. In contrast, China views veganism as a healthy diet rather than a lifestyle and associates it with Buddhist vegetarianism. This perception is because of their religious history and culinary culture. Fundamentally, this study is meaningful for using big data to extract keywords related to vegan fashion in Korea, China, and the United States. This study deepens our understanding of vegan fashion by comparing perceptions across nations.

• The Research Journal of the Costume Culture
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• v.21 no.4
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• pp.562-575
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• 2013

The purpose of this study was to test the determinants of fashion savvy. As determinants, this study examined fear of negative evaluation by others and self esteem as subject-related variables and consumer confidence in fashion decisions as the product-related variable. It was hypothesized that fear of negative evaluation and self esteem influence fashion savvy both directly and indirectly through consumer confidence in fashion decisions. Data were gathered by surveying university students in Seoul metropolitan area, using convenience sampling, and 311 questionnaires were used in the statistical analysis. In analyzing data, factor analysis and path analysis were conducted. Tests of the hypothesized path show that one factor of fear of negative evaluation and self esteem influence fashion savvy directly and indirectly through consumer confidence in fashion decisions. More specifically, 'fear of negative impression and judgment' factor negatively influences 'marketing literacy' and 'consumer selfefficacy' of fashion savvy, whereas self-esteem positively influences 'consumer self-efficacy' of fashion savvy. In addition, consumer confidence in fashion decisions influences all six factors of fashion savvy. The implications of these findings and suggestions for future study are also discussed.

• Journal of Fashion Business
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• v.27 no.4
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• pp.50-66
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• 2023

The purpose of this study was to examine the word distribution and topic distribution of slow fashion appearing on YouTube in detail and identify the characteristics and aspects related to fashion design through big data analysis and content analysis methods. The specific research results were as follows. First, in the results of the word distribution analysis, "item" appeared the most, 203 times. Also, "one-piece" was a point to pay attention to, as the item had the highest frequency. Second, a total of 5 topics were defined in the topic distribution analysis: topic 1 was "vintage products," topic 2 was "fashion items," topic 3 was "eco-friendly," topic 4 was "life quality emphasis," and topic 5 was "prudent consumption." Third, looking at the relationship between word distribution and topic distribution above, Korean slow fashion on YouTube was actively selecting related design elements that express vintage images in clothing life regardless of trends. In addition, there was a tendency to pursue various basic and high-quality items. Other than those findings, basic items tended to be reinterpreted in various ways through styling methods matched to the vintage image. Lastly, the tendency of slow and small-volume production appeared to emphasize handicrafts and the cultural values of fashion products.