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The Importance of Sensor Network Structure and Knowledge Management for Leveraging Innovation Performance

机译:传感器网络结构和知识管理对创新绩效的重要性

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摘要

This study combines network, knowledge management and innovation theory to develop an integrated model in transition China. We analyze the model using regression analysis approach, and 128 manufacturing and service firms in China are selected as the samples of this study. The results conclude that: (1) network density will significantly impact on Knowledge Management; (2) sensor network intensity will significantly impact on Knowledge Management; (3) sensor network centrality will significantly impact on Knowledge Management; (4) The sensor network density is positively relative innovation performance; (5) sensor network intensity is a function of innovation performance; (6) sensor network centrality will significantly impact on innovation performance; (7) knowledge acquire is a function of its innovation performance; (8) knowledge storage will significantly impact on innovation performance; (9) knowledge creation will significantly impact on innovation performance. Finally, implications for researchers and practitioners are presented.
机译:这项研究结合了网络,知识管理和创新理论,以开发转型中国的集成模型。我们使用回归分析方法分析该模型,并选择了中国的128家制造和服务公司作为样本。结果表明:(1)网络密度将对知识管理产生重大影响; (2)传感器网络强度将对知识管理产生重大影响; (3)传感器网络的中心性将对知识管理产生重大影响; (4)传感器网络密度是正相对创新性能; (5)传感器网络强度是创新绩效的函数; (6)传感器网络的中心性将严重影响创新绩效; (7)知识获取是其创新绩效的函数; (8)知识存储将对创新绩效产生重大影响; (9)知识创造将对创新绩效产生重大影响。最后,提出了对研究人员和从业人员的启示。

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