벤처창업연구 (Asia-Pacific Journal of Business Venturing and Entrepreneurship)

  • 제18권3호
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  • Pages.141-156
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  • 2023
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  • 1975-7557(pISSN)
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  • 2671-9509(eISSN)
한국벤처창업학회 (The Korean Society of Business Venturing)
권호 표지

Covid-19에 따른 글로벌 창업 트렌드 분석: Crunchbase를 중심으로

Analysis of Global Entrepreneurship Trends Due to COVID-19: Focusing on Crunchbase

  • 김신호 (서울과학기술대학교 데이터사이언스학과) ;
  • 금영정 (서울과학기술대학교 산업공학과)
  • Shinho Kim (Data Science, Seoul National University of Science and Technology(SeoulTech)) ;
  • Youngjung Geum (Department of Industrial Engineering/Department of Data Science, Seoul National University of Science and Technology(SeoulTech))
  • 투고 : 2023.05.08
  • 심사 : 2023.06.28
  • 발행 : 2023.06.30
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초록

전 세계적으로 유례없는 Covid-19 팬데믹으로 인해 기업의 비즈니스 방식 및 내용이 크게 변화됐다. 따라서 Covid-19 이후 산업 전반에서 일어나고 있는 혁신 양상을 면밀히 모니터링하고, 이를 바탕으로 미래 비즈니스를 기획/설계하는 것이 산업현장에서 크게 요구되고 있다. 다수 연구에서 펜데믹 이후 비즈니스 동향 분석이 시도됐으나 특정 산업에 국한된 분석을 수행하는 점, 설문 및 문헌 연구 중심으로 수행되어 객관적 데이터의 활용이 부족한 점에서 한계점이 존재하고 있다. 이에 본 연구에서는 글로벌 스타트업 데이터인 Crunchbase를 활용하여 Covid-19 이후 비즈니스 산업의 트렌드를 분석하고자 한다. 트렌드 분석을 위해 Crunchbase에서 2018년부터 2021년까지 2년 단위로 데이터를 수집 및 전처리를 진행하였다. 산업 변화를 확인하기 위해 네트워크 분석, LDA 기반 토픽 분석, Doc2vec 클러스터링 분석을 결합한 접근 방식을 사용하여 비즈니스 콘텐츠의 변화를 분석하였다. 연구 결과 각 분야에서 비대면/온라인 기술들이 훨씬 전문성을 갖추며 성장하고 있으며, 기술융합에 초점을 두고 많은 산업들이 성장하고 있는 것으로 파악되었다. 본 연구는 Covid-19의 영향으로 기업투자자 및 예비 창업자들에게 급속도로 변화하는 산업의 흐름을 파악할 수 있게 하고 투자 의사결정에 많은 도움을 줄 것으로 기대된다.

Due to the unprecedented worldwide pandemic of the new Covid-19 infection, business trends of companies have changed significantly. Therefore, it is strongly required to monitor the rapid changes of innovation trends to design and plan future businesses. Since the pandemic, many studies have attempted to analyze business changes, but they are limited to specific industries and are insufficient in terms of data objectivity. In response, this study aims to analyze business trends after Covid-19 using Crunchbase, a global startup data. The data is collected and preprocessed every two years from 2018 to 2021 to compare the business trends. To capture the major trends, a network analysis is conducted for the industry groups and industry information based on the co-occurrence. To analyze the minor trends, LDA-based topic modelling and word2vec-based clustering is used. As a result, e-commerce, education, delivery, game and entertainment industries are promising based on their technological advances, showing extension and diversification of industry boundaries as well as digitalization and servitization of business contents. This study is expected to help venture capitalists and entrepreneurs to understand the rapid changes under the impact of Covid-19 and to make right decisions for the future.

키워드

과제정보

본 연구는 한국연구재단 중견연구 (NRF-2023R1A2C1004752) 의 지원을 받아 수행되었으며 2023년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥회의 지원을 받아 수행되었음 (P0017123, 2023년 산업혁신인재성장지원사업).

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