• Journal of Technology Innovation
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• v.18 no.1
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• pp.75-98
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• 2010

The purpose of this paper is to give policy implications for relevant policy-makers by analyzing factors affecting performance of industrial R&D programs of the Ministry of Knowledge Economy. The independent variables are type of project leader organization(Big Enterprises, SMEs, Ventures Businesses, Public Research Institutions, Universities), cooperative or noncooperative R&D among industry-university-research institution, total number of project participant organization, total R&D investment, and the ratio of private investment to total R&D investment. The dependent variables are domestic or foreign patents granted and domestic or foreign papers accepted. The method of analysis is Poisson Regression analysis operated by STATA. The results of this research are follows ; Universities show higher R&D performance compared to enterprises or public research institutions in terms of patents and papers as well. Venture businesses show higher patent performance compared to SMEs. Inverted U-shaped relationship between total number of project participant organization and R&D performance is not supported. The higher total R&D investment, the higher R&D performance. The higher the ratio of private investment to total R&D investment, the higher R&D performance.

• Management & Information Systems Review
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• v.37 no.3
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• pp.147-171
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• 2018

The purpose of this study is to analyze the factors affecting cooperation between industry and public research institutes, in addition to the effects of cooperation between them; on technological and economic performance of firms. Based on existing research relating to the factors affecting industry-university-research institutes cooperation and the relationship between them and firm performance, this study selected the competence of government-funded research institutes, R&D capabilities and organizational characteristics of firms, and support of government and local governments; as factors influencing cooperation between industry and public research institutes. This study sets seven hypotheses on the relationship between the factors promoting industry-public research institute cooperation, technological performance and economic performance. A questionnaire survey was used to collect data for hypothesis testing and 116 questionnaires were completed and used in this research. The PLS-MGA was used as a method for hypothesis testing. In the analysis results, we found that the competence of government-funded research institutes, organizational characteristics of firms, and the support of government and local governments have a positive impact on cooperation between industry and public research institutes. We also found that the collaboration between industry and public research institutes, positively affects firms' technological performance. In addition, we found that the technological performance of a firm, positively affects a firms' economic performance. On the other hand, firms' R&D capabilities have no significant effect on cooperation between industry and public research institutes, and industry-public research institute cooperation does not directly affect the economic performance of firms.

• Review of KIISC
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• v.19 no.2
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• pp.82-86
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• 2009

경북대학교 이동네트워크 정보보호기술 연구센터(Mobile Network Security Research Center, MSRC)는 2000년 8월 네트워크 분야의 IT 연구센터(지식경제부지정 ITRC)로 선정되어 2008년 12월까지 8년 4개월간의 연구센터로서의 연구, 개발, 인력양성 활동을 성공적으로 수행하였다. 경북대학교 문상재 교수를 중심으로 POSTECH, 부경대학교, 호서대학교, 동서대학교, 경남대학교 등 6개 대학 연간 11여명의 교수진과 57여명의 대학원생들은 물론, 국내외 정보보호 분야의 외부 전문가와 관련 산업체들의 활발한 협력 연구 활동으로 논문, 특허, 산학협력, 표준화 등의 부분에서 우수한 연구 실적들을 도출하며, 지식경제부의 IT 대학 육성 지원 사업을 성공적으로 마무리 하였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.105-115
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• 2017

Innovative cluster theory promotes cluster growth as the tacit knowledge and know-how approach becomes easier through industry-academia cooperation. Industry-academia cooperation is an innovation network policy that supports joint research between industry and academia. In this respect, The Flow of recent government policy is activating I-U support office in university & research institute for enable I-U Cooperation ecosystem. Then SMB Administration was first performed "research village support program", to support SMEs in industry-university cooperative research capabilities by integrating the research, development and commercializatin of the university or research institution with excellent research base in 2013. However, I-U Cooperation R&D must be based the link strategy of Localization in order to be better composition at research village. In the case of research villages where specialized discovery strategies are well reflected, integration of similar companies in specialized fields will naturally create clusters and create synergy of research. This study searching and summarizing through a recent Hanbat National University research village. Finally, we propose the implications of government policy.

• Journal of Korea Technology Innovation Society
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• v.7 no.1
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• pp.21-41
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• 2004

본 고는 우리나라 정보통신산업에 있어서 정부사용목적의 연구개발투자를 제외한 국가지원 연구개발투자에 따른 기술의 상용화 전략특성에 관해 연구한 논문이다. 연구의 주요내용을 보면 기술상용화에 관한 기존연구 결과에 대한 분석을 통하여 기술상용화에 영향을 미치는 요인들을 도출하였으며, 사용화 프로세스모형에 대한 프레임워크를 제시하였다. 나아가 상용화 영향요인과 사용화 전략과의 관계, 상용화 성과와 영향요인과의 관계에 관한 연구모형을 설정하였으며, 정보통신 개발기술의 상용화 경험을 가지고 있는 기업을 대상으로 한 설문조사를 통하여 실증분석을 하였다. 본 연구의 분석에 사용된 설문지는 전체 상용화 건수 중에서 상용화 경험이 있는 기업이 대표적인 기술을 대상으로 조사되었다. 이러한 분석의 결과를 기반으로 정보통신 기술상용화의 촉진을 위한 효율적인 정책도출을 위한 다음의 대안을 제시하였다. 상용화를 촉진하기 위해서는 산학연간의 협력관계, 기술상용화 인프라의 구축, 정부의 상용화 프로그램에 대한 올바른 정보의 제공, 상용화 네트워크의 구축, 신기술/제품에 대한 초기 시장보호 및 침투 지원 등이 이루어져야 하겠다.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.390-398
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• 2018

The purpose of this study is to analyze the relationship between local economy and local universities focusing on the job creation. The study estimates the impacts of industry-university cooperation expenditure in 2018 on the Korean industry using the 2014 input-output table released by the Bank of Korea in 2016. The results show that the effect of production inducement was 30.2 trillion Won which reached 1.5 times of the total industry-university cooperation expenditure 19.6 trillion Won. The effect of labor inducement was estimated to employ 35 thousand people. With respect to the effects of inter-industries, the professional, scientific and technical activities, information and communication, and education sectors showed much higher effect of both production and labor inducement in the Korean industry. Therefore, the industry-university cooperation expenditure in Korea has to be focused on those industries in order to increase job creation effects from industry-university cooperation.