ABSTRACT

Innovation is deeply rooted in clusters and is strongly related to knowledge exchanges. In literature, scholars have started suggesting that innovation rates are expected to be higher in dynamic networks, where there is variation in roles and knowledge exchanges. This paper contributes to this debate by studying the correlation between knowledge exchange and innovation at the cluster level, with a dynamic view. Using dynamic social network analysis as a methodological approach and the literature on Collaborative Innovation Networks (COINs) and knowledge exchanges as the theoretical framework, we investigated how varying over time cluster members’ leadership role and contribution in the flow of knowledge benefit cluster-level innovation. We relied on data collected from a collaborative cluster-based platform, focusing on technological knowledge exchanges. Our findings indicate that there is a strong positive correlation between rotating leadership and innovation as well as between rotating contribution and innovation.

摘要

创新深深植根于集群，与知识交流密切相关。在文献中，学者们已经开始暗示，在动态网络中，创新率预计会更高，其中角色和知识交流存在差异。本文通过动态视角研究集群层面知识交流与创新之间的相关性，为这场辩论做出了贡献。使用动态社会网络分析作为方法论，并以协作创新网络 (COIN) 和知识交流的文献作为理论框架，我们调查了集群成员在知识流动中的领导作用和贡献如何随着时间的推移而有利于集群级创新. 我们依靠从基于协作集群的平台收集的数据，注重技术知识交流。我们的研究结果表明，轮换领导与创新之间以及轮换贡献与创新之间存在很强的正相关关系。