Research Article
Effect of Network Embedding on the Performance of Chinese Venture Capital Institutions: Mediatory Role of Organizational Learning
@INPROCEEDINGS{10.1007/978-3-031-22324-2_10, author={Yanxia Ni and Jianqiang Li}, title={Effect of Network Embedding on the Performance of Chinese Venture Capital Institutions: Mediatory Role of Organizational Learning}, proceedings={Data and Information in Online Environments. Third EAI International Conference, DIONE 2022, Virtual Event, July 28-29, 2022, Proceedings}, proceedings_a={DIONE}, year={2022}, month={12}, keywords={Network embedding Heterogeneous knowledge learning Investment performance}, doi={10.1007/978-3-031-22324-2_10} }- Yanxia Ni
Jianqiang Li
Year: 2022
Effect of Network Embedding on the Performance of Chinese Venture Capital Institutions: Mediatory Role of Organizational Learning
DIONE
Springer
DOI: 10.1007/978-3-031-22324-2_10
Abstract
By combining organizational learning and social network theories, we used 2,935 investment dealings of 942 investment institutions in 2,345 enterprises from 1999 to 2014 as a sample to explore the mechanism of heterogeneous knowledge learning in network embedding and investment performance. Empirical results show that structural and relationship embedding remarkably improve investment performance. Heterogeneous knowledge learning plays a mediatory role between structural embedding and investment performance, as well as between relational embedding and investment performance.
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