Collaboration network patterns and research performance: the case of Korean public research institutions

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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.
Publisher
SPRINGER
Issue Date
2012-06
Language
English
Article Type
Article
Keywords

SCIENTIFIC COLLABORATION; SOCIAL NETWORK; TRIPLE-HELIX; INNOVATION; PRODUCTIVITY; KNOWLEDGE; INDICATORS; EFFICIENCY; ALLIANCE; INDUSTRY

Citation

SCIENTOMETRICS, v.91, no.3, pp.925 - 942

ISSN
0138-9130
DOI
10.1007/s11192-011-0602-8
URI
http://hdl.handle.net/10203/104427
Appears in Collection
MG-Journal Papers(저널논문)
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