Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)

Network Strength, Knowledge Flow and Innovation Performance—an Empirical Study Based on SME Collaborative Innovation Network

Authors
Li Wang, Ting Duan
Corresponding Author
Ting Duan
Available Online 16 December 2020.
DOI
https://doi.org/10.2991/assehr.k.201214.088How to use a DOI?
Keywords
Network strength, Knowledge flow, Innovation performance, Collaborative innovation network
Abstract
Taking the collaborative innovation network of SMEs in China as the research object, this work collects data through questionnaires, and uses SPSS and AMOS software to demonstrate the relationship of network strength, knowledge spillover, knowledge transfer and innovation performance in collaborative innovation networks. The results show that there is a significant positive correlation of the network strength of SMEs’ collaborative innovation network and innovation performance. The more frequent the inter-enterprise linkage, the more helpful the synergy of innovation performance, knowledge spillover and knowledge transfer play a partial mediating effect between “network strength—innovation performance”. The research can provide theoretical and practical reference for the development of collaborative innovation networks in China.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Li Wang
AU  - Ting Duan
PY  - 2020
DA  - 2020/12/16
TI  - Network Strength, Knowledge Flow and Innovation Performance—an Empirical Study Based on SME Collaborative Innovation Network
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 458
EP  - 466
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.088
DO  - https://doi.org/10.2991/assehr.k.201214.088
ID  - Wang2020
ER  -