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빈삼 ( Sen Bin ),염혜정 ( Haejung Yum ) 한국패션비즈니스학회 2021 패션 비즈니스 Vol.25 No.3
In December 2019, when the novel coronavirus (nCoV) was identified in Wuhan, Hubei, China, the number of people belonging to post-90s generation among about 42,000 medical staffs personnel supporting Hubei was 12,000 or more, accounting for about 33.3% of the total number of personnel. The term “post-90s generation” generally indicates young people born from 1990 to 1999. The study scope is the 1990-2020 period between the birth of post-90s generation and present. Literature and empirical studies are performed. Generational characteristics and fashion trends shown only by post-90s generation through precedent studies and reports are as follows: First, generational characteristics of post-90s generation can be categorized into the following three characteristics: “sang wenhua”, “collective loneliness”, and “diversified identity”. Second, fashion trends of the post-90s generation can be categorized into the following three characteristics: “new Chinese style fashion”, “masstige fashion”, and “de-labeling fashion”. The above results show that the post-90s generation uses “culture” and “me” as keywords. Further, the above trend is consequently divided into the following two characteristics: “diversification” and “individualization”. This is because the post-90s generation is directly affected by the reform and opening and the 9-year compulsory education policy of China compared to the previous generations; hence, these people are greatly influenced by Western culture and fashion as well as their own culture and fashion. It refers having a tendency to express one’s individuality with a variety of tastes and styles.
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포스트 코로나19 시대의 패션 소비문화에 대한 빅데이터 분석 -중국 패션 네트워크인 LADYMAX.cn의 기사를 중심으로-
빈삼 ( Sen Bin ),염혜정 ( Haejung Yum ),심수인 ( Soo In Shim ) 한국패션비즈니스학회 2021 패션 비즈니스 Vol.25 No.2
In this study, the changes in fashion consumption culture in the post-COVID-19 era were examined through big data analysis. Considering that the Chinese market plays a pivotal role in the global fashion industry, big data was collected in the most famous and professional fashion network in China, LADYMAX.cn. As a result of text mining and social network analysis, three major changes were identified as the emerging fashion consumption culture in the post-COVID-19 era. First, as a trend in new media consumption, COVID-19 disease and the development of digital technology tended to encourage consumers to put more importance on the relationship between bloggers and fans than previously. Second, as a trend in reward consumption, consumers tended to be rewarded for their hard work to relieve and comfort their high stress caused by spending a long time worrying about the prolonged COVID-19 situation. Third, as a trend in home-economy consumption, consumers tended to prefer homewear and sportswear more because they were spending longer times at home as the social distancing period was prolonged.
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ScienceON
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