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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
Ecosystem simulationIndustrial softwarePlatform transitionTripartite evolutionary game

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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.