%0 Journal Article
%T 创新平台生态系统多主体竞合关系演化博弈分析<br>Evolutionary Game Analysis of Coopetition Relationship of Multi-Agent in Innovation Platform Ecosystem
%A 苑博雅
%J E-Commerce Letters
%P 2256-2274
%@ 2168-5851
%D 2025
%I Hans Publishing
%R 10.12677/ecl.2025.1441131
%X 创新平台生态系统多主体间竞合关系影响系统的价值创造。为探究多主体竞合关系的演化过程&#65292;本研究通过分析创新平台生态系统多主体的竞合行为逻辑&#65292;构建了平台企业、互补商和用户三方演化博弈模型&#65292;以Matlab软件为工具仿真分析不同主体竞合行为与参数变化下的演化博弈过程及其变化规律。结果表明&#65306;(1) 创新平台生态系统的多主体竞合策略组合(异质平台&#65292;异质产品&#65292;购买)是理想的均衡状态&#65307;(2) 技术创新能力、技术互补水平、协同收益、平台激励、市场接受度、投机收益等是影响平台企业、互补商和用户竞合策略选择的重要因素&#65292;可通过调控这些因素来促使各方竞合策略演化为稳定均衡状态&#65292;从而促进创新平台生态系统良好发展。<br>The coopetition relationship of multi-agents in the innovation platform ecosystem influences the creation of value in the ecosystem. In order to explore the evolution process of the multi-agent coopetition relationship, by analyzing the multi-agent coopetition behavior logic of the innovation platform ecosystem, this study constructs a three-party evolutionary game model of platform enterprises, complementors and users. In addition, using MATLAB software as a tool, this study simulates and analyzes the evolutionary game process and its changing patterns under different competitive and cooperative behaviors of various entities and parameter variations. It is found that: (1) The combination of multi-agent strategies (heterogeneous platforms, heterogeneous products, purchases) in the innovation platform ecosystem is the ideal equilibrium; (2) Technological innovation capacity, the degree of technological complementarity, mutual benefit, platform incentives, market acceptance, speculative benefit and so on are key factors influencing the coopetition strategy options of platform enterprises, complementors and users to actively. These key factors can be regulated to encourage all parties to choose the evolution and stability strategy for the good development of the innovation platform ecosystem.
%K 创新平台生态系统&#65292
%K 多主体&#65292
%K 竞合&#65292
%K 演化博弈<br>Innovation Platform Ecosystem
%K Multi-Agent
%K Coopetition
%K Evolutionary Game
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=113077