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Ecosystem simulation: the software to platform leap
Zhe Liu1, Yangjie Cui2, Yudong Zhang3,4
1School of Management, Henan University of Technology, Zhengzhou, 450001, China. z.liu@haut.edu.cn.
Scientific Reports
|June 9, 2026
Summary
Government incentives and cost-sharing are key for industrial software ecosystems to evolve. A specific cost-sharing threshold (0.2-0.4) optimizes user adoption and ecosystem stability.
Area of Science:
- Industrial Software Ecosystems
- Platform Economics
- Evolutionary Game Theory
Background:
- The shift from software provision to platform organization is crucial for competitive advantage.
- Strategic mechanisms driving this transition in industrial software ecosystems are not well understood.
Purpose of the Study:
- To model the evolutionary dynamics of industrial software ecosystems.
- To analyze the impact of government and platform strategies on ecosystem development.
Main Methods:
- Utilized an evolutionary game-theoretic approach.
- Conducted simulation analyses across different ecosystem developmental stages.
Main Results:
- Government subsidies and cost-sharing significantly impact ecosystem stability.
- A cost-sharing threshold (delta 0.2-0.4) is critical for user adoption.
- High cost-sharing (delta > 0.4) can reduce platform organizer incentives and destabilize the ecosystem.
Conclusions:
- Formalizes multi-agent interactions and threshold effects in platform evolution.
- Provides insights for policymakers and strategists on optimizing subsidies and cost-sharing.
- Highlights the need for dynamic, stage-specific interventions for sustainable platform transitions.
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