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Dynamic analysis and optimal control of knowledge diffusion model in regional innovation ecosystem under
Zitong He1, Haijun Wang2, Yuhan Hu3
1School of Management, Shenyang University of Technology, Shenyang, 110870, China.
Scientific Reports
|June 7, 2024
Summary
Digital technologies enhance knowledge diffusion in regional innovation ecosystems by improving agent interaction and learning. This optimizes resource allocation and promotes sustainable ecosystem development.
Area of Science:
- Innovation Studies
- Information Science
- Ecosystem Dynamics
Background:
- Knowledge diffusion is crucial for regional innovation efficiency and ecosystem evolution.
- Digital empowerment transforms innovation ecosystems, enabling better resource allocation and sustainable development.
Purpose of the Study:
- To propose a SEIR (Susceptible-Exposed-Infected-Recovered) model for knowledge diffusion in digitized regional innovation ecosystems.
- To analyze the impact of digital technologies on knowledge diffusion dynamics and efficiency.
Main Methods:
- Development and analysis of a SEIR model for knowledge diffusion.
- Calculation of the basic reproduction number and validation of model stability.
- Derivation of optimal control system and parameter expressions.
Main Results:
- Agent's knowledge-diffusion ability, contact rate, digital transmission, and self-learning ability significantly impact diffusion efficiency, breadth, and system structure.
- Digital technologies break down knowledge silos and enhance knowledge absorption, increasing diffusion rates.
- The model's stability was validated, and optimal control parameters were identified.
Conclusions:
- Digitalization enhances knowledge diffusion in regional innovation ecosystems by improving agent capabilities and interactions.
- Findings offer valuable management insights for enterprises and governments to foster innovation and sustainable development.
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