Keywords
platform innovation ecosystem, knowledge sharing, Evolutionary Game, multi-agent
Abstract
In order to promote the multi-agent knowledge sharing behavior in the platform innovation ecosystem to evolve into a win-win mode, this paper constructed a tripartite evolutionary game model of knowledge sharing among platform enterprises, participating enterprises and users in the platform innovation ecosystem, and analyzed the evolution law of knowledge sharing behavior of each agent. The factors influencing knowledge sharing behavior of each agent were studied through simulation analysis. The results showed that high initial probability can promote the participants to choose the knowledge sharing behavior and realize the efficient sharing of heterogeneous knowledge. As the leading enterprise, platform enterprises were most sensitive to influencing factors. The knowledge innovation ability that promoted multi-agent knowledge sharing in the system had the greatest influence on the knowledge sharing behavior of each agent. The cost coefficient and risk cost coefficient of knowledge sharing increased the difficulty of knowledge sharing. The equalization of knowledge innovation benefit coefficient can promote knowledge sharing in the system. Setting up reasonable reward and punishment mechanism was conducive to the evolution of the system towards knowledge sharing.
DOI
10.16315/j.stm.2022.04.006
Recommended Citation
XU, Ying-ying; SUN, Hui; and LÜ, Xi-chen
(2022)
"Research on the evolution model of multi-agent knowledge sharing behavior in platform innovation ecosystem,"
Journal of Science and Technology Management: Vol. 24:
Iss.
4, Article 5.
DOI: 10.16315/j.stm.2022.04.006
Available at:
https://jstm.researchcommons.org/journal/vol24/iss4/5
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
