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Home
Ecosystem Simulation: The Software To Platform Leap.

Home
Ecosystem Simulation: The Software To Platform Leap.

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Automated Analysis of C. elegans Swim Behavior Using CeleST Software

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Published on: December 7, 2016

Ecosystem simulation: the software to platform leap.

Zhe Liu¹, Yangjie Cui², Yudong Zhang^3,4

¹School of Management, Henan University of Technology, Zhengzhou, 450001, China. z.liu@haut.edu.cn.

Scientific Reports

|June 9, 2026

View abstract on 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 simulation Industrial software Platform transition Tripartite evolutionary game

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Published on: April 10, 2018

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.