Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation...

Area of Science:

• Ecology
• Digital Economy
• Systems Science

Background:

• Digital innovation ecosystems (DIES) require stakeholder symbiosis for ecological sustainability.
• Existing models lack a comprehensive understanding of symbiotic evolution within DIES.

Purpose of the Study:

• To integrate the Lotka-Volterra symbiotic evolution model into DIES research.
• To construct and simulate three-actor and four-actor dynamic interaction frameworks.
• To identify optimal symbiotic patterns and propose a governance framework for resilient DIES.

Main Methods:

• Application of the Lotka-Volterra symbiotic evolution model.
• Construction of three-actor and four-actor dynamic interaction frameworks.
• Simulation of multiple symbiotic evolution scenarios.

Main Results:

• Identified core actors in DIES: core digital enterprises, innovation partners, digital product users, and digital platforms.
• Demonstrated that digital platforms enhance system capacity and scale.
• Found that mutually beneficial symbiosis optimizes DIES evolution, while parasitic and commensal symbiosis reduce stability.

Conclusions:

• Mutually beneficial symbiosis is crucial for stable and resilient DIES.
• A governance framework based on resource balancing, value sharing, and trust cooperation is proposed.
• The study provides practical guidance for designing sustainable digital innovation ecosystems.