초록

AI-Helper

1998년 이후 한국정부는 산학연계의 성과를 증진시키기 위한 다양한 사업을 펼치고 있다. 본 연구는 대학의 역량요인이 산학협력성과에 어떠한 영향을 미치는지를, 한국의 61개 대학의 산학 협력성과와 역량요인에 관한 자료를 수집하여 다중회귀분석모형을 통해 분석해 보았다. 모형에서 종속변수로는 기술이전료수입, 기술이전건수, 스핀오프기업수 등을 사용하였으며, 독립변수로는 연구역량요인으로 SCI급 논문건수, 국내특허등록건수, 국제특허등록거수를, 관리역량요인으로 기술이 전전담조직의 크기, 기술이전전담인력규모 둥을 사용하였다. 분석결과 기술이전료수입에 대해서는 SCI급 논문 수 및 국제특허등록건수가, 기술이전건수에 대해서는 SCI급 논문수 및 국내특허등록 건수가, 스핀오프기업수에 대해서는 전담조직규모 및 기술이전전문가수가 통계적으로 유의미한 것으로 나타났다. 이러한 연구결과는 향후 산학협력성과를 촉진하기 위한 정부정책이 대학의 연구역량과 관리역량을 동시에 증진하는 방향으로 이루어져야 한다는 시사점을 제시하고 있다.

Abstract ▼ AI-Helper

Korean government drives various programs to improve the performance of university-industry cooperation since 1998 such as BK 21(Brain Korea), NURI(New University for Regional Innovation), Connect Korea Program, and so on. We analyse the relationships between performance of university-industry coope...

Korean government drives various programs to improve the performance of university-industry cooperation since 1998 such as BK 21(Brain Korea), NURI(New University for Regional Innovation), Connect Korea Program, and so on. We analyse the relationships between performance of university-industry cooperations and university competency factors(research competency and management competency) through multi-regression model, and propose policy implication. We used the basic data related to the performance of university-industry cooperation and university competency factors from Korean 61 universities. We set up some hypotheses and try to verify them with the method of multi-variable regression analysis including dependent variable(licensing fee, the number of technology transfers, the number of spin-offs) and independent variables(research competency, management competency). We, through this analysis, find both the research competency variables and management competency variables are significant to the performance of university-industry cooperation. Firstly, for licensing fee and the number of technology transfers, research competency variables such as the number of SCIE papers, the number of patent registration were significant, but management competency variables such as the scale of technology leasing organization, the number of specialist were not significant. Secondly, for the number of spin-offs management variables are significant, but research competency varialbles are not. These results imply that both the research competency and management competency of universities are the critical factors for the effective commercialization of university technology not only in United States but also in Korea. In the conclusion, we propose government drive university-industry cooperation policy to enhance the quality of research papers and patent as well as management capabilities of technology leasing organization.

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