• 「NEXYS」 Lee, D. H., Seo, I. W., Choe, H. C., & Kim, H. D. (2012). “Collaboration network patterns and research performance: the case of Korean public research institutions”. Scientometrics, 91(3), 925-942.

    Lab: Network Economy&Complex System

    Professor: Dukhee Lee

    Title: Collaboration Network Patterns and Research Performance: the Case of Korean Public Research Institutions

    Authors: Duk Hee Lee, Il Won Seo, Ho Chull Choe, and Hee Dae Kim

    Journal: Scientometric

    Publish: 2012

    Abstract:

    This study examines the impact of collaborating patterns on the R&D performance of public research institutions (PRIs) in Korea’s science and engineering fields. For the construction of R&D collaborating networks based on the co-authorship data of 127 institutions in Scopus, this paper proposes four types of collaborations by categorizing network analyses into two dimensions: structural positions (density, efficiency, and betweeness centrality) and the relational characteristics of individual nodes (eigenvector and closeness centralities). To explore the research performance by collaboration type, we employ a data envelopment analysis window analysis of a panel of 23 PRIs over a 10-year period. Comparing the R&D productivities of each group, we find that the PRIs of higher productivity adhere to a cohesive networking strategy, retaining intensive relations with their existing partners. The empirical results suggest that excessively cohesive alliances might end up in ‘lock-in’ relations, hindering the exploitation of new opportunities for innovation. These findings are implicit in relation to the Korean Government’s R&D policies on collaborating strategies to produce sustained research results with the advent of the convergence research era.

    DOI: 10.1007/s11192-011-0602-8

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