Evolutionary dynamics of value co-creation within the industry-university-research network: A multi-agent game perspective
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Summary
This summary is machine-generated.This study models value co-creation in industry-university-research (IUR) networks. Optimal enterprise investment, academic input, and impartial benefit distribution are key for successful innovation-driven value co-creation.
Area Of Science
- Innovation Management
- Evolutionary Game Theory
- Network Analysis
Background
- Value co-creation dynamics within industry-university-research (IUR) networks remain under-explored.
- The transition towards innovation-driven value co-creation necessitates understanding agent roles and interactions.
- China's high-end manufacturing sector provides a relevant context for studying IUR network evolution.
Purpose Of The Study
- To investigate the evolutionary dynamics of value co-creation within IUR networks.
- To define the roles of multiple agents in the value co-creation process.
- To propose an evolutionary game model for analyzing these dynamics.
Main Methods
- Development of a multi-agent evolutionary game model.
- Simulation analysis using data from China's high-end manufacturing industry.
- Examination of key parameters influencing value co-creation probability.
Main Results
- Average positive co-creation probability is inversely related to enterprise investment and academic knowledge input disparities.
- Enterprise knowledge absorption, academic R&D capability, government incentives, and intermediary efficiency significantly enhance co-creation.
- An inverted U-shape relationship exists between enterprise benefit distribution and co-creation probability.
Conclusions
- Effective supervision and management are crucial for optimizing resource utilization in IUR networks.
- A combination of government guidance and market mechanisms sustainably drives value co-creation.
- Impartial benefit distribution mechanisms between industry and academia foster synergy and stability in value co-creation.
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