DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Duk-Hee | ko |
dc.contributor.author | Seo, Il-Won | ko |
dc.contributor.author | Choe, Ho-Chull | ko |
dc.contributor.author | Kim, Hee-Dae | ko |
dc.date.accessioned | 2013-03-13T04:03:20Z | - |
dc.date.available | 2013-03-13T04:03:20Z | - |
dc.date.created | 2012-07-19 | - |
dc.date.created | 2012-07-19 | - |
dc.date.issued | 2012-06 | - |
dc.identifier.citation | SCIENTOMETRICS, v.91, no.3, pp.925 - 942 | - |
dc.identifier.issn | 0138-9130 | - |
dc.identifier.uri | http://hdl.handle.net/10203/104427 | - |
dc.description.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. | - |
dc.language | English | - |
dc.publisher | SPRINGER | - |
dc.subject | SCIENTIFIC COLLABORATION | - |
dc.subject | SOCIAL NETWORK | - |
dc.subject | TRIPLE-HELIX | - |
dc.subject | INNOVATION | - |
dc.subject | PRODUCTIVITY | - |
dc.subject | KNOWLEDGE | - |
dc.subject | INDICATORS | - |
dc.subject | EFFICIENCY | - |
dc.subject | ALLIANCE | - |
dc.subject | INDUSTRY | - |
dc.title | Collaboration network patterns and research performance: the case of Korean public research institutions | - |
dc.type | Article | - |
dc.identifier.wosid | 000303533600018 | - |
dc.identifier.scopusid | 2-s2.0-84860550356 | - |
dc.type.rims | ART | - |
dc.citation.volume | 91 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 925 | - |
dc.citation.endingpage | 942 | - |
dc.citation.publicationname | SCIENTOMETRICS | - |
dc.identifier.doi | 10.1007/s11192-011-0602-8 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Duk-Hee | - |
dc.contributor.nonIdAuthor | Choe, Ho-Chull | - |
dc.contributor.nonIdAuthor | Kim, Hee-Dae | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Collaboration pattern | - |
dc.subject.keywordAuthor | R& | - |
dc.subject.keywordAuthor | D performance | - |
dc.subject.keywordAuthor | Social network analysis | - |
dc.subject.keywordAuthor | Science policy | - |
dc.subject.keywordAuthor | DEA window | - |
dc.subject.keywordPlus | SCIENTIFIC COLLABORATION | - |
dc.subject.keywordPlus | SOCIAL NETWORK | - |
dc.subject.keywordPlus | TRIPLE-HELIX | - |
dc.subject.keywordPlus | INNOVATION | - |
dc.subject.keywordPlus | PRODUCTIVITY | - |
dc.subject.keywordPlus | KNOWLEDGE | - |
dc.subject.keywordPlus | INDICATORS | - |
dc.subject.keywordPlus | EFFICIENCY | - |
dc.subject.keywordPlus | ALLIANCE | - |
dc.subject.keywordPlus | INDUSTRY | - |
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