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http://dx.doi.org/10.7232/JKIIE.2017.43.3.154

Performance Evaluation of Collaborative Research in Government Research Institutes  

Lee, Seonghee (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology/Electronics and Telecommunications Research Institute)
Lee, Hakyeon (Department of Industrial and Systems Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.43, no.3, 2017 , pp. 154-163 More about this Journal
Abstract
Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.
Keywords
Research Collaboration; Industry-University-Government Research Institutes; Data Envelopment Analysis (DEA); R&D Performance;
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Times Cited By KSCI : 3  (Citation Analysis)
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