패션비즈니스 (Journal of Fashion Business)

  • 제27권1호
  • /
  • Pages.1-15
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  • 2023
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  • 1229-3350(pISSN)
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  • 2288-1867(eISSN)
한국패션비즈니스학회 (The Korean Society of Fashion Business)
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빅데이터 분석을 활용한 우리나라 패션 스타트업 생태계의 추세 연구 - 2012~2022년 신문기사를 중심으로 -

A Study on Fashion Startup Ecosystem Trends in Korea Using Big Data Analysis - Focusing on Newspaper Articles in 2012-2022 -

  • 임수정 (성균관대학교 의상학과) ;
  • 황선진 (성균관대학교 의상학과)
  • Soojung Lim (Dept. of Fashion Design, Sungkyunkwan University) ;
  • Sunjin Hwang (Dept. of Fashion Design, Sungkyunkwan University)
  • 투고 : 2022.12.02
  • 심사 : 2022.12.22
  • 발행 : 2023.02.28
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초록

This study divided articles into two time periods, from 2012 to 2022, with the aim of using big data analysis to look at patterns in the ecosystem of fashion start-ups. The research method extracted top keywords based on TF(Term Frequency) and TF-IDF(Term Frequency-Inverse Document Frequency), analyzed the network, and derived centrality values. As a result of comparing the first and second fashion startup ecosystems, elements of policy, support, market, finance, and human capital were derived in the first period. In addition, in the second period, elements of policy, support, market, finance, and culture were derived. In the first period, the fashion startup ecosystem focused on fostering new designer startups by emphasizing support, finance, and human capital factors and focusing on policies. Meanwhile, in the second period, online-based fashion platform startups and fashion tech startups appeared with the support of digital transformation and fulfillment services triggered by COVID-19(Corona Virus Disease 19), private finances were emphasized, and cultural factors were derived along with success stories of fashion startups. This study is meaningful in that it helps in developing strategies for fashion startups to grow into sustainable companies.

키워드

참고문헌

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