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Differentiated Knowledge Bases and the Nature of Innovation Networks

机译:差异化的知识库和创新网络的性质

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It is argued in this paper that the nature of innovation networks can vary substantially with regard to the type of knowledge that is critical for innovation. Subject to the knowledge base of an industry, networks between companies can differ in various aspects, such as their geographical configuration, their structure, the type of actors holding a strategic position and the type of relations between actors. The paper comprises a conceptual discussion on social capital theory and networks, followed by a theoretically informed discussion on differentiated knowledge bases and innovation networks, which is subsequently illustrated with empirical material. The empirical analysis is based on social network analysis in association with exclusive data about patterns of cooperation and knowledge exchange in a number of regional industries located in different parts of Europe. The findings suggest that networks in analytical industries are not much constrained by geographical distance; knowledge is exchanged in a highly selective manner between research units and scientists in globally configured epistemic communities. Synthetic industries source knowledge within nationally or regionally configured networks between suppliers and customers, and within communities of practice. Symbolic industries rely on knowledge that is culturally defined and highly context specific, resulting in localized networks that are temporary and flexible in nature.
机译:本文认为,创新网络的性质在对创新至关重要的知识类型方面可以有很大的不同。取决于行业的知识基础,公司之间的网络可以在各个方面有所不同,例如其地理位置,结构,具有战略地位的参与者的类型以及参与者之间的关系的类型。本文包括有关社会资本理论和网络的概念性讨论,然后是关于差异化知识库和创新网络的理论上有根据的讨论,随后将通过经验材料进行说明。经验分析是基于社交网络分析,结合有关位于欧洲不同地区的许多区域产业中合作和知识交流模式的独家数据。研究结果表明,分析行业的网络不受地理距离的限制。知识在全球配置的认知社区中的研究单位和科学家之间以高度选择性的方式进行交换。合成产业在供应商和客户之间的国家或地区配置网络内以及实践社区内获取知识。象征性产业依赖于文化定义的知识和高度特定于上下文的知识,从而形成了具有临时性和灵活性的本地化网络。

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