Knowledge transfer efficiency is an important indicator to evaluate the performance of open innovation (OI). However, there are few researches on the measurement of knowledge transfer efficiency in the context of OI networks. To make up this gap, this study explores the measurement of knowledge transfer efficiency based on the weighted OI network. Firstly, this paper builds the weighted OI network model with node and edge weights. On the basis of the weighted OI network model, the weighted path length and clustering coefficient are introduced and analysed. Moreover, the efficiency of knowledge transfer is further proposed as the main measure of knowledge transfer efficiency by comprehensively embodying the above factors, and then an extended application of the proposed main measure is developed to identify and locate the important members with great impact on knowledge transfer. Finally, a real case of several OI networks is provided to illustrate the applicability of the weighted OI network model and the knowledge transfer efficiency measurement method.

中文翻译：

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知识转移效率评估及其在开放式创新网络中的应用

知识转移效率是评估开放式创新（OI）绩效的重要指标。但是，在OI网络的背景下，关于知识转移效率的度量的研究很少。为了弥补这一差距，本研究探索了基于加权OI网络的知识转移效率的度量。首先，建立了具有节点和边缘权重的加权OI网络模型。在加权OI网络模型的基础上，介绍并分析了加权路径长度和聚类系数。此外，通过综合体现上述因素，进一步提出了知识转移效率作为知识转移效率的主要指标，然后对拟议的主要措施进行扩展应用，以识别和定位对知识转移产生重大影响的重要成员。最后，以几个OI网络为例，说明了加权OI网络模型和知识转移效率度量方法的适用性。