DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jinho | ko |
dc.contributor.author | Ahn, Sang-Hyun | ko |
dc.contributor.author | Cha, Min-Seok | ko |
dc.date.accessioned | 2013-06-10T06:29:42Z | - |
dc.date.available | 2013-06-10T06:29:42Z | - |
dc.date.created | 2013-06-05 | - |
dc.date.created | 2013-06-05 | - |
dc.date.issued | 2013-09 | - |
dc.identifier.citation | EXPERT SYSTEMS WITH APPLICATIONS, v.40, no.11, pp.4511 - 4518 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.uri | http://hdl.handle.net/10203/173947 | - |
dc.description.abstract | Industry clusters provide not only economic benefits but also technological innovation through networking within a cluster. In this study, we analyze network-specific structural and behavioral characteristics of innovation clusters with the intention of delving into differences in learning performance in clusters. Based on three representative networks of real world, scale-free, broad-scale, and single-scale networks, the learning performance of entire organizations in a cluster is examined by the simulation method. We find out that the network structure of clusters is important for the learning performance of clusters. Among the three networks, the scale-free network having the most hub organizations shows the best learning performance. In addition, the appropriate level of openness that maintains long-lasting diversity leads to the highest organizational learning performance. This study confirms the roles of innovation clusters and implies how each organization as a member of a cluster should run their organization. (C) 2013 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | TECHNOLOGY-BASED FIRMS | - |
dc.subject | SMALL-WORLD NETWORKS | - |
dc.subject | COMPLEX NETWORKS | - |
dc.subject | SCIENCE PARKS | - |
dc.subject | TRENDS | - |
dc.title | The effects of network characteristics on performance of innovation clusters | - |
dc.type | Article | - |
dc.identifier.wosid | 000318052300022 | - |
dc.identifier.scopusid | 2-s2.0-84876025415 | - |
dc.type.rims | ART | - |
dc.citation.volume | 40 | - |
dc.citation.issue | 11 | - |
dc.citation.beginningpage | 4511 | - |
dc.citation.endingpage | 4518 | - |
dc.citation.publicationname | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.identifier.doi | 10.1016/j.eswa.2013.01.052 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.nonIdAuthor | Choi, Jinho | - |
dc.contributor.nonIdAuthor | Cha, Min-Seok | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | TECHNOLOGY-BASED FIRMS | - |
dc.subject.keywordPlus | SMALL-WORLD NETWORKS | - |
dc.subject.keywordPlus | COMPLEX NETWORKS | - |
dc.subject.keywordPlus | SCIENCE PARKS | - |
dc.subject.keywordPlus | TRENDS | - |
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