Network Strength, Knowledge Flow and Innovation Performance—an Empirical Study Based on SME Collaborative Innovation Network
- DOI
- 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.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - 10.2991/assehr.k.201214.088 ID - Wang2020 ER -