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Influence mechanism of multi-network embeddedness to enterprises innovation performance based on knowledge management perspective

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Abstract

Based on network embedding, enterprise technology innovation and knowledge management theories, the study has built theoretical conceptual model of multiple network embedding influencing enterprises’ technological innovation performance from the perspective of knowledge management. The work discussed the internal mechanism of knowledge management activities affected by embedded relationship, embedded structure and embedded resource influencing technological innovation performance. Through obtaining 190 SME’s survey data in the Yangtze River Delta region, we systematically validated the conceptual model with the structural equation model. It showed that embedded relationship, embedded structure and embedded resource in enterprise organization network can effectively improve the enterprise’s knowledge management capability, bringing significant promotion in technological innovation performance. Wherein, the embedded relationship and embedded resource can promote not only the technological innovation performance of the enterprise, but also the performance by improving the knowledge management ability of the enterprise. While, the promotion effect of embedded structure to enterprises’ technological innovation majorly relies on the fully-mediated knowledge management to achieve.

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Acknowledgements

This research is financially supported by the Natural Science Foundation of Zhejiang under Grant Nos. LY17G030014, LY17G030010, LQ17G030001, the Academic Leader Cultivation Project of Ningbo Philosophy Social Sciences under Grant No. G15-XK01. This research is sponsored by K.C. Wong Magna Fund in Ningbo University and Key Research Institute of Philosophy and Social Sciences of Zhejiang Province: Modern Port Service Industry and Creative Culture Research Center.

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Authors and Affiliations

  1. Business School, Ningbo University, Ningbo, 315211, People’s Republic of China

    Haibin Cong

  2. Institute of Modern Logistics and E-Commerce, Zhejiang Wanli University, Ningbo, 315100, People’s Republic of China

    Deling Zou

  3. School of Economics, Nanjing University, Nanjing, 210093, People’s Republic of China

    Fuxiang Wu

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  1. Haibin Cong
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  2. Deling Zou
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  3. Fuxiang Wu
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Correspondence to Deling Zou.

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Cong, H., Zou, D. & Wu, F. Influence mechanism of multi-network embeddedness to enterprises innovation performance based on knowledge management perspective. Cluster Comput 20, 93–108 (2017). https://doi.org/10.1007/s10586-017-0735-5

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