Dynamic analysis and optimal control of knowledge diffusion model in regional innovation ecosystem under digitalization
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View abstract on PubMed
Summary
This summary is machine-generated.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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