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

Duk Hee Lee (), Il Won Seo (), Ho Chull Choe () and Hee Dae Kim ()
Additional contact information
Duk Hee Lee: Korea Advanced Institute of Science and Technology
Il Won Seo: Korea Advanced Institute of Science and Technology
Ho Chull Choe: Management Strategy Team, Korea Research Institute of Chemical Technology
Hee Dae Kim: Future Strategy Team, Daegu Digital Industry Promotion Agency

Scientometrics, 2012, vol. 91, issue 3, No 18, 925-942

Abstract: 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.

Keywords: Collaboration pattern; R&D performance; Social network analysis; Science policy; DEA window; 90B50 (search for similar items in EconPapers)
JEL-codes: O32 O33 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-011-0602-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-011-0602-8

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-011-0602-8

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().