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      LINC3.0사업 참여유형에 따른 대학의 기술사업화 성과 영향 분석 = The Impact of LINC3.0 Participation Types on Technology Commercialization Outcomes in Universities

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      https://www.riss.kr/link?id=T17392775

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Amid rapid industrial transformation and the advent of the Fourth Industrial Revolution, the role of universities has expanded beyond education to become a central hub for technological innovation and regional industrial development. In particular, the linkage between university research outcomes and technology commercialization has been increasingly recognized as a key driver of national competitiveness and the revitalization of regional innovation ecosystems. In response, the Korean government has continuously advanced industry–university cooperation policies, beginning with the Leaders in Industry–University Cooperation (LINC) program in 2012, followed by the LINC+ program (2017–2021), and the LINC 3.0 program (2022–2025).
      This study aims to empirically analyze differences in technology commercialization performance according to participation status and participation types in the LINC 3.0 program among four-year general universities in Korea. Data were obtained from the Ministry of Education’s Higher Education Information Disclosure System (University Alimi), covering 165 universities from 2022 to 2025. Technology commercialization performance was measured using external research funding, the number and revenue of technology transfers, patent applications and registrations, the number of faculty start-up companies, and sales from faculty start-ups. Descriptive statistics, correlation analysis, independent-samples t-tests, and regression analyses were employed.
      The results indicate that participation in the LINC 3.0 program has a statistically significant positive effect on universities’ technology commercialization performance, with participating universities exhibiting higher overall outcomes than non-participating universities. Furthermore, performance differences were observed across participation types. The Technology Innovation Leadership type demonstrated the highest performance across all indicators, while the Demand-Based Growth type showed significant outcomes in most indicators except external research funding and technology transfer revenue. In contrast, the Cooperation Infrastructure Building type exhibited relatively weak statistical associations with technology commercialization outcomes, suggesting the need for institutional improvements.
      Overall, this study empirically confirms that the LINC 3.0 program contributes to promoting university technology commercialization and provides foundational evidence for developing differentiated support strategies in future industry–university cooperation policies.
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      Amid rapid industrial transformation and the advent of the Fourth Industrial Revolution, the role of universities has expanded beyond education to become a central hub for technological innovation and regional industrial development. In particular, th...

      Amid rapid industrial transformation and the advent of the Fourth Industrial Revolution, the role of universities has expanded beyond education to become a central hub for technological innovation and regional industrial development. In particular, the linkage between university research outcomes and technology commercialization has been increasingly recognized as a key driver of national competitiveness and the revitalization of regional innovation ecosystems. In response, the Korean government has continuously advanced industry–university cooperation policies, beginning with the Leaders in Industry–University Cooperation (LINC) program in 2012, followed by the LINC+ program (2017–2021), and the LINC 3.0 program (2022–2025).
      This study aims to empirically analyze differences in technology commercialization performance according to participation status and participation types in the LINC 3.0 program among four-year general universities in Korea. Data were obtained from the Ministry of Education’s Higher Education Information Disclosure System (University Alimi), covering 165 universities from 2022 to 2025. Technology commercialization performance was measured using external research funding, the number and revenue of technology transfers, patent applications and registrations, the number of faculty start-up companies, and sales from faculty start-ups. Descriptive statistics, correlation analysis, independent-samples t-tests, and regression analyses were employed.
      The results indicate that participation in the LINC 3.0 program has a statistically significant positive effect on universities’ technology commercialization performance, with participating universities exhibiting higher overall outcomes than non-participating universities. Furthermore, performance differences were observed across participation types. The Technology Innovation Leadership type demonstrated the highest performance across all indicators, while the Demand-Based Growth type showed significant outcomes in most indicators except external research funding and technology transfer revenue. In contrast, the Cooperation Infrastructure Building type exhibited relatively weak statistical associations with technology commercialization outcomes, suggesting the need for institutional improvements.
      Overall, this study empirically confirms that the LINC 3.0 program contributes to promoting university technology commercialization and provides foundational evidence for developing differentiated support strategies in future industry–university cooperation policies.

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      목차 (Table of Contents)

      • 제1장 서론 1
      • 1.1 연구배경 및 필요성 1
      • 1.2 선행연구 2
      • 1.3 연구의 목적 3
      • 제2장 정부의 산학협력정책 4
      • 제1장 서론 1
      • 1.1 연구배경 및 필요성 1
      • 1.2 선행연구 2
      • 1.3 연구의 목적 3
      • 제2장 정부의 산학협력정책 4
      • 2.1 산학협력 선도대학 육성사업의 개요 4
      • 2.2 LINC사업 6
      • 2.3 LINC+사업 7
      • 2.4 LINC3.0사업 8
      • 제3장 연구방법 11
      • 3.1 연구모형 11
      • 3.2 변수의 조작적 정의 12
      • 3.3 데이터 수집 12
      • 3.4 분석방법 13
      • 3.5 가설설정 15
      • 제4장 분석결과 18
      • 4.1 기초통계분석 18
      • 4.2 독립표본 t-검정 20
      • 4.3 상관관계분석 21
      • 4.4 다중회귀분석 23
      • 제5장 결론 37
      • 참고문헌 39
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