DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hee Dae | ko |
dc.contributor.author | Lee, DukHee | ko |
dc.contributor.author | Choe, Hochull | ko |
dc.contributor.author | Seo, Il-Won | ko |
dc.date.accessioned | 2014-08-27 | - |
dc.date.available | 2014-08-27 | - |
dc.date.created | 2013-09-30 | - |
dc.date.created | 2013-09-30 | - |
dc.date.issued | 2014-04 | - |
dc.identifier.citation | SCIENTOMETRICS, v.99, no.1, pp.77 - 95 | - |
dc.identifier.issn | 0138-9130 | - |
dc.identifier.uri | http://hdl.handle.net/10203/187209 | - |
dc.description.abstract | Since the cluster began to receive attention as a critical environmental factor in geographical economics, it has provided a major research methodology across multiple disciplines from industrial organization, strategic management, regional innovation system, and Triple Helix to virtual clusters. Network structure analysis (NSA) offers a common framework to observe clusters that have been studied separately from the viewpoint of industrial organization and strategic management. Industrial structure analysis, is based on the externality of a network and the resource-based view, focused on the inherent network capacity, have been combined with the study of structural changes through cluster NSA, to create a new direction for the growth of industry and individual firms. This study aims to analyze the correlation between the networking of structural change and a firm's performance by selecting a software industrial cluster as a representative case for the knowledge industry. We examine the network structural positions of each node during the cluster evolution process. This empirical study has significance for establishing a firm's growth strategy as well as supporting the policy about clusters, through outlining the dynamic evolution process of the networking activities in a knowledge industry cluster. | - |
dc.language | English | - |
dc.publisher | SPRINGER | - |
dc.subject | SOCIAL NETWORKS | - |
dc.subject | INNOVATION | - |
dc.subject | PERFORMANCE | - |
dc.subject | CAPABILITIES | - |
dc.subject | KNOWLEDGE | - |
dc.subject | COLLABORATION | - |
dc.subject | TECHNOLOGY | - |
dc.subject | EMERGENCE | - |
dc.subject | POSITION | - |
dc.subject | STRATEGY | - |
dc.title | The evolution of cluster network structure and firm growth: a study of industrial software clusters | - |
dc.type | Article | - |
dc.identifier.wosid | 000332697600006 | - |
dc.identifier.scopusid | 2-s2.0-84897608913 | - |
dc.type.rims | ART | - |
dc.citation.volume | 99 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 77 | - |
dc.citation.endingpage | 95 | - |
dc.citation.publicationname | SCIENTOMETRICS | - |
dc.identifier.doi | 10.1007/s11192-013-1094-5 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, DukHee | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Cluster | - |
dc.subject.keywordAuthor | Complexity | - |
dc.subject.keywordAuthor | Triple Helix | - |
dc.subject.keywordAuthor | Software | - |
dc.subject.keywordAuthor | Network | - |
dc.subject.keywordAuthor | Network structure analysis | - |
dc.subject.keywordPlus | SOCIAL NETWORKS | - |
dc.subject.keywordPlus | INNOVATION | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | CAPABILITIES | - |
dc.subject.keywordPlus | KNOWLEDGE | - |
dc.subject.keywordPlus | COLLABORATION | - |
dc.subject.keywordPlus | TECHNOLOGY | - |
dc.subject.keywordPlus | EMERGENCE | - |
dc.subject.keywordPlus | POSITION | - |
dc.subject.keywordPlus | STRATEGY | - |
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