RESEARCH ON THE INFLUENCE OF KNOWLEDGE BASE AND RELATIONSHIP NETWORK ON INNOVATION PERFORMANCE
Journal: Acta Informatica Malaysia (AIM)
Author: Hui Wang, Xiaoming Zhang, Liren An
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
This paper combines enterprise knowledge base and relational network to study its impact on innovation performance. It analyzes how the combination of knowledge base width, knowledge base depth, relationship network width and relationship network depth influence on the innovation performance of enterprises. The empirical results show that relationship network and knowledge base have a positive impact on innovation performance, “deep network-deep knowledge” and “wide network-wide knowledge” have a negative impact on innovation performance, and “deep network-wide knowledge” and “wide network-deep knowledge” have a positive impact on innovation performance.