Abstract
Knowledge brokers play a crucial role in open innovation. We use exponential random graph models and qualitative analysis of semi-structured interview data to contrast knowledge brokerage in three open innovation partnerships. Our analysis considers both tacit and explicit knowledge exchanges. Significant broker role effects occur mainly in tacit knowledge-sharing networks. This result implies that brokerage in open innovation is primarily about connecting know-how rather than know-what. We see that trust is crucial for both tacit and explicit knowledge sharing. Adding broker roles to exponential random graph models offers a more nuanced explanation of the observed network structure.
| Original language | English |
|---|---|
| Article number | 100186 |
| Number of pages | 17 |
| Journal | Journal of Open Innovation: Technology , Market , and Complexity |
| Volume | 10 |
| Issue number | 1 |
| Publication status | Published - Mar 2024 |
Bibliographical note
Publisher Copyright:© 2023
Open Access - Access Right Statement
© 2023 Published by Elsevier Ltd on behalf of Prof JinHyo Joseph Yun. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Keywords
- Open innovation networks
- Social network analysis
- Mixed methods
- Exponential random graph models
- Qualitative analysis
- Open innovation
- Knowledge brokerage
- Tacit knowledge
