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Abstract
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Article Information:
Research on Collective Learning Mechanism and Influencing Factors of Industrial Cluster Innovation Network
Lan Wang
Corresponding Author: Lan Wang
Submitted: July 21, 2012
Accepted: September 08, 2012
Published: February 21, 2013 |
Abstract:
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This study attempts to contribute to the cluster innovation literature by adding the collective learning perspective and propose an analytical framework on collective learning of cluster. Industrial cluster is viewed as a prevalent mode for technology innovation in knowledge-based economy. Collective learning outlines how local innovation network and spatial proximity between actors influence the sharing and creation of skills and knowledge in cluster. Firstly, this study discusses the structure and character of innovation network within industrial cluster. Secondly, it analyzes the collective learning mechanism of industrial cluster, which is involves in three dimensions: horizontal learning, vertical learning and multi-angle learning. Then, it focuses on some influencing factors of collective learning within innovation network. Finally, this study analyzes the role of global-local linkages in the dynamic capability of cluster innovation network.
Key words: This study attempts to contribute to the cluster innovation literature by adding the collective lear, industrial cluster, innovation network, learning mechanism, , ,
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Cite this Reference:
Lan Wang, . Research on Collective Learning Mechanism and Influencing Factors of Industrial Cluster Innovation Network. Research Journal of Applied Sciences, Engineering and Technology, (06): 2278-2283.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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