• Journal of Fashion Business
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• v.26 no.6
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• pp.116-132
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• 2022

Fashion marketing activity performed by social media influencers (SMIs) has grown exponentially in the past years. Research regarding their marketing power is often discussed in the context of sponsorship disclosure, in order to overcome obstacles of impending regulations that may endanger the authenticity SMIs are perceived to have compared to traditional marketing agents. Upon recent heterogeneous findings, a netnographic approach was taken to examine the actual sponsored posts of SMIs on Instagram. Based on two representative cases that received media coverage, a qualitative analysis of 1,058 comments on Instagram showed customer inspiration and informational social influence regardless of sponsorship disclosures present. Regarding customer inspiration, high frequency of comments including choice imitation intentions was observed. Under certain conditions, customer responses were focused on the SMI's expertise irrespective from the brand being endorsed. Findings show future implications from both an academic and industry-focused perspective for future potential of SMIs in fashion marketing.

• Fashion Information and Technology
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• v.4
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• pp.44-54
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• 2007

• Fashion Information and Technology
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• v.11
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• pp.2-10
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• 2014

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.123-127
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• 2008

• The Research Journal of the Costume Culture
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• v.10 no.3
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• pp.293-305
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• 2002

This paper describes the new trends of fashion industry in the era of digital media and Internet paradigm, where fashion is no longer just static contents. Fashion becomes crucial and dynamic contents for infotainment, mobile Internet, and digital media. As therefore, the fashion industry could be positioned as fashion information industry and key elements of fashion communication. In the future, fashion education should be repositioned as dynamic Intermediary not only for traditional textile design, costume design, and merchandising, but also for dynamic fashion information provider, fashion communication and fashion-oriented media related to digital Information, and Internet. As a case study, we briefly describe the successful co-marketing strategies of world-class luxury fashion brands, fashion media, and Internet service provider.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.3
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• pp.101-111
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• 2006

Jeans fashion in contemporary fashion has various meanings and values, and the importance of it increases. The purpose of this study is to analyze the formative feature characteristics and the aesthetic values of Korean jeans fashion. Fashion photograghs from leading monthly fashion magazines from 2000 to 2005 were analyzed. The types of styles and the formative feature characteristics and the aesthetic values of Korean jeans fashion were studied. The major conclusions of the study are as follows 1. The types of Korean jeans fashion styles were western style, punk style, neo classic style and ethnic style. 2. The characteristics of Korean jeans fashion designs were the varieties in material, color, technique of expression and application. 3. The formative feature characteristics were traditionalism, sexualism, extraordinarily and exhibitionism. Korean jeans fashion has developed creative and decorative designs through various designs and styles. As the activities of the people can be increased in the future, the function and the design of jeans fashion can be developed diversely.

• Journal of Fashion Business
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• v.4 no.3
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• pp.79-90
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• 2000

On the beginning of 21C, in which it is a facing problem that the expansive image of future in fashion should be proposed from the comprehensive analysis for the fashion trend. Therefore, in this study, the trends of capricious fashion are distinctly quantified by investigating the cue of fashion in each styles. Also, the systematic evaluation is carried out of analyzing photographs to which the four important fashion styles. In particular, this study takes the practical and numerical results through quantitative analysis by statistical treatment as well as through qualitative analysis that has been formerly used in the other studies. The purposes of this study are to examine fashion trends expressed in important styles in the 1990s, and to formulate productive fashion of the future. In the qualitative analysis, the four important fashions of neo-mods/jazz, neo-hippie/grunge, sportive-casual and techos/cyber-punk are grouped. In the quantitative analysis, statistical data are sampled from Collection II of the 1990s A/W. It takes frequency, percentage, $x^2$-test and etc, by using the comprehensive tools for statistical treatment. There were significant differences between the A/W fashion. According to the cues, there are also significant differences between the fashion in the 1990s. The results of this study are summarized as follows: (1) In 'Neo-Mos/Jazz' style shows highly androgynous look, deep and strong tone, green/blue colors, natural fabric, stripe pattern, long hair style, and hided make-up. (2) 'Neo-hippie/gnenge' style shows highly folklore look, vivid tone purple colors, seethrough/knit fabric, natural /traditional pattern, decorative hair special make-up. (3) 'Sportive casuals' style shows highly sportive look, greish tone, white/grey colours, natural fabric, solid patten, bobbed hair, and natural make-up. (4) 'Techno/cyber punk style shows highly comocorps look, pale tone black colors avangard fabric, solid patten, punk/dyed hair special make-up.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.255-272
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• 2020

This exploratory study investigated Chinese consumers' perceived usefulness and risks of fashion apps and identified reasons for continuance and discontinuance intentions. This study conducted focus group interviews with a convenience sample of 13 Chinese students majoring in fashion in Korea. Based on interviewee responses, this study identified five attributes leading the perceived usefulness of mobile fashion apps (ubiquity and convenience, multi-media information, personalization, interactivity between consumers, and immediateness) and sub elements related to the five attributes. Five types of perceived risk (privacy risk, security risk, product risk, loss of future opportunity, and time risk) were identified in relation to Chinese consumers' use of fashion apps. The important role of live streaming services was uniquely identified by Chinese fashion app users. Usefulness of location-based information provided by mobile fashion apps were differently perceived according to respondents' use purpose, and augmented reality services provided by the apps were related to entertainment rather than usefulness. This study provides meaningful insights into Chinese consumers' perceptions of fashion apps and important app attributes that influence their continuance and discontinuance intentions. The findings from this study lend preliminary implications for future researchers and fashion businesses interested in the Chinese app market.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.790-798
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• 2021

With digital technology innovation, increased data access and mobile network use by consumers, products and services are changing toward pursuing differentiated values for personalization, and personalized markets are rapidly emerging in the fashion industry. This study aims to identify trends in digital customized automation technology by deriving types of digital customizing and analyzing cases by type, and to present directions for the development of digital customizing processes and the use of technology in the future. As a research method, a literature study for a theoretical background, a case study for classification and analysis of types was conducted. The results of the study are as follows. The types of digital customizing can be classified into three types: 'cooperative customization', 'selective composition and combination', 'transparent suggestion', and automation technologies shown in each type include 3D printing, 3D virtual clothing, robot mannequin, human automatic measurement program, AR-based fitting service, big data, and AI-based curation function. With the development of digital automation technology, the fashion industry environment is also changing from existing manufacturing-oriented to consumer-oriented, and the production process is rapidly changing with IT and artificial intelligence-based automation technology. The results of this study hope that digital customized automation technology will meet various needs of personalization and customization and present the future direction of digital fashion technology, where fashion brands will expand based on the spread of digital technology.