Research Article | OPEN ACCESS
Research on Collective Learning Mechanism and Influencing Factors of Industrial Cluster Innovation Network
Lan Wang
Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, 450015, China
Research Journal of Applied Sciences, Engineering and Technology 2013 6:2278-2283
Received: July 21, 2012 | Accepted: September 08, 2012 | Published: February 21, 2013
Abstract
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.
Keywords:
Collective learning, industrial cluster, innovation network, learning mechanism,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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