装备制造业集群式创新的学习网络及优化路径——以徐州工程机械产业集群为例

Learning Network and Optimization Path of Cluster Innovation in the Equipment Manufacturing Industry:A Case Study of Xuzhou Construction Machinery Industry Cluster

优化创新学习网络对装备制造业的集群式创新发展具有重要推动作用。以徐州工程机械产业集群为例,运用社会网络分析方法实证研究装备制造业集群式创新的学习网络及优化路径。研究表明:知识技术的外部学习引进和内部学习再创新是装备制造业集群式创新学习机制形成的主要途径,创新的关键在于显性知识技术的高效转移与隐性知识技术的学习转化;徐工集团是徐州工程机械产业集群式创新学习网络的主要引领者,但其自主创新及引领带动能力亟待提升;网络中间层次的企业规模实力偏弱,制约其在网络中的创新骨干和传导带动作用。据此提出四方面的优化路径及对策。

The optimization of innovative learning network plays an important role in promoting the cluster innovation development of equipment manufacturing industry. This paper uses social network analysis method to empirically research learning network and optimization path of the equipment manufacturing industry cluster innovation by taking engineering machinery industry cluster of Xuzhou as an example. The research shows that, external knowledge technology introduction and internal learning and innovation are the main ways to form the cluster innovation learning mechanism of equipment manufacturing industry, and the key to innovation lies in the efficient transfer of explicit knowledge technology and the transformation of tacit knowledge technology;Xugong Group is the main leader of Xuzhou engineering machinery industry cluster innovation learning network, but its independent innovation and leading ability need to be improved urgently;the weak scale strength of enterprises at the middle level of the network restricts their innovative backbone and conductive driving role in the network. Based on the above analysis, the paper puts forward four aspects of optimization path and countermeasures.