• 패션비즈니스
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• 제27권4호
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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.

• 한국의류산업학회지
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• 제11권1호
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• pp.93-102
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• 2009

The purpose of this study was to analyze the factor of fashion behavior and to identify fashion behavior differences according to demorgraphic/physical characteristics and parents' background of male college student in Dalian, China. The data were collected via a self-administered questionnaire from 250 male college students living in Dalian, China in June 2007. Data analysis method were used to Crombach's a, reliabilty, factor analysis, frequency analysis, ANOVA, and Sheffe's test for the post hoctest. The results of this study were as follows: Fashion behavior factors were analyzed into 6 factors such as fashion satisfaction oriented, high price oriented, fashion leader oriented, practical fashion oriented, others defendence oriented. There were significant difference in demographic variables such as age, major and physical variables such as height, weight, clothing size and parents' background such as education, job, and income.

• 한국의류산업학회지
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• 제23권3호
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• pp.380-389
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• 2021

This study aimed to reveal the perceptions and trends of digital fashion technology through an informational approach. A big data analysis was conducted after collecting the text shown in a web environment from April 2019 to April 2021. Key words were derived through text mining analysis and network analysis, and the structure of perception of digital fashion technology was identified. Using textoms, we collected 8144 texts after data refinement, conducted a frequency of emergence and central component analysis, and visualized the results with word cloud and N-gram. The frequency of appearance also generated matrices with the top 70 words, and a structural equivalent analysis was performed. The results were presented with network visualizations and dendrograms. Fashion, digital, and technology were the most frequently mentioned topics, and the frequencies of platform, digital transformation, and start-ups were also high. Through clustering, four clusters of marketing were formed using fashion, digital technology, startups, and augmented reality/virtual reality technology. Future research on startups and smart factories with technologies based on stable platforms is needed. The results of this study contribute to increasing the fashion industry's knowledge on digital fashion technology and can be used as a foundational study for the development of research on related topics.

• 한국의류산업학회지
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• 제18권2호
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• pp.158-166
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• 2016

This study investigates the impact of fashion product attributes and mobile shopping mall attributes on impulse buying behavior and mobile shopping satisfaction. The findings provide new information to marketers on marketing strategy for mobile shopping malls. We obtained 283 usable questionnaires from college students. Data were analyzed by frequency analysis, correlation analysis, factor analysis using SPSS for Window 21.0 and confirmatory factor analysis and structural equation model analysis by AMOS 21.0. The results were as follows. The utility of fashion products attributes had the greatest impact on impulse buying behavior when buying fashion products in a mobile mall. Utility had a negative effect on impulsive buying behavior and exhibitionistic had a positive effect on impulsive buying behavior. Next, continuous management of mobile shopping mall attributes influenced impulse buying behavior. In addition, impulse buying behavior showed that the positive effect on satisfaction. Fashion product attributes had a greater impact on impulsive buying behavior than mobile mall properties when buying fashion products in the mobile mall; in addition, impulse buying facilitated customer satisfaction.

• 한국의류산업학회지
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• 제24권5호
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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.

• 패션비즈니스
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• 제6권2호
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• pp.110-123
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• 2002

This study investigated the influence of cultural and general trend of the times on fashion trends and the hybridization of these trends. The objectives of this study were to suggest new approach method of the fashion forecasting and to find out the cultural meanings and values of fashion. Key words that explains fashion trend from spring/summer of 1995 to fall/winter of 2002 were collected from professional fashion trend journals. These terms were analysed with domain analysis based on the semantic relationship. The frequency of their appearance in each season and the aspect of their appearance in each season were analysed. The hybrids of the fashion trends were analysed longitudinally and cross-sectionally as well by investigating the cover terms that were found as a result of domain analysis. The method used in this study can be applied to future study of fashion trend in that it offers an objective view of fashion trend and can allow researchers to study fashion trend in a concrete way.

• 복식문화연구
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• 제27권2호
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• pp.109-122
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• 2019

With the greater importance of lifestyle shops and experience marketing, research is needed for the effective experience marketing of lifestyle shops by fashion product type. This study establishes effective and differentiated experience marketing strategies for fashion lifestyle shops by examining the effect of the experience marketing satisfaction with lifestyle shops on purchase intention and loyalty. This study categorizes lifestyle shops by fashion product types into a suit-oriented lifestyle shop, a casual/leisure/sportswear-oriented lifestyle shop and a home fashion lifestyle shop, Then a survey was conducted on participants who had visited lifestyle shop. As an analysis method, factor analysis, reliability analysis and regression analysis were conducted. In this study, we identified the experience marketing factors of fashion lifestyle shops. This study found that the satisfaction from experience marketing factors of fashion lifestyle shops by fashion product types affected purchase intention and loyalty differently. Considering the results of this study, it will be able to increase not only purchase intention and loyalty but also brand sustainability by establishing, applying, and executing a differentiated strategy considering the detailed factors of experience marketing for each fashion product type when planning and operating a fashion lifestyle shop. Through this study, effective marketing of fashion lifestyle shops by fashion product type will be implemented.

• 한국의류산업학회지
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• 제25권1호
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• pp.72-81
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• 2023

As changes in social and economic paradigms are accelerating, and non-contact has become the new normal due to the COVID-19 pandemic, metaverse services that build societies in online activities and virtual reality are spreading rapidly. This study analyzes the perception and trend of metaverse fashion using big data. TEXTOM was used to extract metaverse and fashion-related words from Naver and Google and analyze their frequency and importance. Additionally, structural equivalence analysis based on the derived main words was conducted to identify the perception and trend of metaverse fashion. The following results were obtained: First, term frequency(TF) analysis revealed the most frequently appearing words were "metaverse," "fashion," "virtual," "brand," "platform," "digital," "world," "Zepeto," "company," and "game." After analyzing TF-inverse document frequency(TF-IDF), "virtual" was the most important, followed by "brand," "platform," "Zepeto," "digital," "world," "industry," "game," "fashion show," and "industry." "Metaverse" and "fashion" were found to have a high TF but low TF-IDF. Further, words such as "virtual," "brand," "platform," "Zepeto," and "digital" had a higher TF-IDF ranking than TF, indicating that they had high importance in the text. Second, convergence of iterated correlations analysis using UNICET revealed four clusters, classified as "virtual world," "metaverse distribution platform," "fashion contents technology investment," and "metaverse fashion week." Fashion brands are hosting virtual fashion shows and stores on metaverse platforms where the virtual and real worlds coexist, and investment in developing metaverse-related technologies is under way.

• 한국의류산업학회지
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• 제3권4호
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• pp.323-329
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• 2001

The purpose of this study was to identify the relationship between clothing involvement and fashion leadership of fashion models and college women. For this study, 113 fashion models and 265 female college students were analyzed. Factor analysis, Correlation, t-test and Regression analysis were used in data analyses. Clothing involvement was factor analyzed resulting five factors such as interest, pleasure, fashionability, risk perception and symbolism. Three clothing involvement factors had highly positive relations with total clothing involvement. Interest, pleasure and fashionability factors were related with each other: Fashionability and interest factors had an effect on fashion opinion-leadership and fashion innovation. Significant differences were found between fashion models and female college students in regard to clothing involvement and fashion leadership. Fashion models and female college students differed significantly in clothing interest and fashionability. Fashion models and female college students differed significantly in fashion opinion-leadership and fashion innovation. Fashion models were more fashion opinion leaders and fashion innovators than female college students.

• 한국의류산업학회지
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• 제21권2호
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• pp.151-162
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• 2019

This study identifies influential factors in regards to the purchase of celebrity fashion hot items and compares these factors in the age groups of teens and twenties. This study surveyed male and female consumers aged 10-20 years old for empirical analysis in July 2018. The study surveyed 322 consumers selected through online convenience sampling. Data were analyzed using SPSS for Windows 19.0, descriptive statistics, reliability analysis, ${\chi}^2$ analysis, regression analysis, ANOVA analysis, Duncan test, and t-test. The results were as follows. First, 87.6% of consumer have purchased celebrity fashion hot items more than once. In particular, female consumers in their 20s with a high fashion product expenditure tend to purchase more celebrity fashion hot items. Clothes and shoes were purchased more by 10-year-old males, shoes for males in their 20s, accessories for 10-year-old females female, and bags and accessories for female in their 20s. Second, there were no significant differences for those aged 10-20 years old in purchase satisfaction for celebrity fashion hot items according to age, gender, income, and fashion product expenditure. Consumers' awareness on corporate marketing intention to celebrity fashion hot items was higher among women in their 20s than men in their teens and twenties; in addition, the expenditure on fashion products also increased. Third, factors affecting the purchase of celebrity fashion hot items among teens and twenties were different according to age and gender. A higher need for identification for teenage male resulted in: lower media dependency, higher product involvement, fashion conformity, fashion innovativeness for 20s males, higher product involvement for 10s and 20s females, increased intention to purchase tended. This study provides consumer information and fashion item information that can be utilized in advertisement and promotion strategies for fashion companies that seek to perform celebrity marketing strategies that target consumers aged 10-20 years old.