Approach to Clusters from System Theory : Possibility of Network Analysis(MEMORIAL EDITION FOR PROF. KINJI GONDA : REGIONAL SYSTEMS OF INNOVATION AND SCIENCE POLICY)
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- BABA Yasunori
- Research Center for Advanced Science and Technology, The University of Tokyo
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- YUKAWA Kou
- Fujitsu Research Institute
Bibliographic Information
- Other Title
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- クラスターのシステム論アプローチ : ネットワーク分析の適用可能性(<特集>地域イノベーション・システムと科学技術政策-権田金治先生追悼特集-)
- クラスターのシステム論アプローチ--ネットワーク分析の適用可能性
- クラスター ノ システムロン アプローチ ネットワーク ブンセキ ノ テキヨウ カノウセイ
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Description
In order to apply control mechanisms found in biological phenomena to social design, K. Gonda developed a theory of "fields" which simulates the process of knowledge creation in a community as a dynamically stable system involving self-organization under multiple controls. This theory is an original type of cluster theory, which focuses attention to the spillover of knowledge in a community. Meanwhile, in other countries, the network analysis has been developing which focuses on the network of actors in a particular region as a knowledge generation system, while the recent evolutionary economics argues that the flow of knowledge in a cluster is selective and heterogeneous depending on the relational distance between enterprises in the cluster, thus criticizing econometric assumption that emphasizes the role of spatial distance in the flow of knowledge. Thus the cluster theory in Europe and America has overcome simplistic knowledge spillover model based on the spatial distance between the actors and proceeded to an approach based on the system theory. The current studies by the author on clusters from the viewpoint of network analysis have led him to reaffirm Gonda's foresight incorporated in his research agenda.
Journal
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- The Journal of Science Policy and Research Management
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The Journal of Science Policy and Research Management 20 (3), 205-210, 2005
Japan Society for Research Policy and Innovation Management
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Details 詳細情報について
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- CRID
- 1390282679618464384
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- NII Article ID
- 110004059784
- 10019650322
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- NII Book ID
- AN1030142X
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- ISSN
- 24327123
- 09147020
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- NDL BIB ID
- 7823576
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed