디지털융복합연구 (Journal of Digital Convergence)

한국디지털정책학회 (The Society of Digital Policy and Management)
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키워드 네트워크 분석을 통한 산학협력 학술논문 연구

A study on academic articles of industry-academic cooperation through keyword network analysis

  • 권선희 (부산외국어대학교 영어학부)
  • Kwon, Sun-hee (Department of English, Busan University of Foreign Studies)
  • 투고 : 2021.09.19
  • 심사 : 2021.12.20
  • 발행 : 2021.12.28
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 지난 10년간(2011~2021) 발간된 산학협력에 대한 국내 논문과 국외 논문의 비교 분석을 통해 국내 산학협력의 동향을 파악하고 국외 산학협력 연구 주제와 비교하고자 한다. 수집된 전체 기사의 특색을 파악하기 위해 키워드 네트워크 분석과 토픽 모델링 분석을 실시하였다. 주요 결과는 다음과 같다. 국내 논문은 학교, 고용, 교육, 특허, 교수 등이 주요 토픽이며 관련 키워드가 영향력 있는 키워드로 나타났다. 국외 논문의 경우, 프로젝트, 정책, 혁신, 회사 등이 주요 토픽이며 관련 키워드가 영향력 있는 것으로 나타났다. 본 연구 결과는 국내 산학협력은 대학, 교수가 고용을 위한 교육을 설계하고 주도해 왔다고 해석될 수 있으며, 향후 국내 산학협력 활동이 '연구'와 '기술이전' 영역에서 보다 활발히 이루어질 필요가 있으며, 이를 위해서 정부의 관련 정책과 지원이 학교와 기업 모두 이익을 얻을 수 있는 양방향 관계 수립에 중점을 두어야 함을 시사한다.

This paper aims to identify trends of domestic industry-academic cooperation through comparative analysis of domestic and overseas academic articles published over the past 10 years (2011-2021). To this end, keyword network analysis and topic modeling analysis were performed to identify the characteristics of the entire articles collected. As results, it turned out that domestic articles included school, employment, education, patent, and professor as a major keyword while for overseas articles, project, policy, innovation, and company were the main topics, and related keywords were found to be influential. These results suggest that domestic industry-academic cooperation would have been designed and led by universities focusing on education for employment, and need to be carried out more actively in the areas of 'research' and 'technology transfer with the government's related policies and support on establishing two-way relationships that can benefit both schools and participating companies.

키워드

과제정보

This work was supported by a research grant of the Busan University of Foreign Studies in 2021.

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