An Agent-Based Model of Innovation Emergence in Organizations: Renault and Ford Through the Lens of Evolutionism
An Agent-Based Model of Innovation Emergence in Organizations: Renault and Ford Through the Lens of Evolutionism
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组织中基于主体的创新涌现模型：进化论视角下的雷诺和福特
DOI：
10.1023/b:cmot.0000039167.91320.df
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发表时间：
2004
影响因子：
1.8
通讯作者：
M. Cartier
中科院分区：
文献类型：
--
作者：
M. Cartier
基于进化论理论和项目管理知识，建立了基于遗传算法的联结模型，对组织创新过程进行了模拟。转换和选择产生微观动力，在代理人群体中创造宏观行为。结果阐明了达尔文的拉马克适应机制，它们与环境的关系及其相互作用。模拟结果表明，存在一个最佳水平的实验和选择的项目上游的创新过程中，证明进化过程的效率是偶然的环境复杂性，并允许探索相互依存和共存的两条路径的演变。模型的有效性接近通过相似承认的理论，并通过两个汽车制造商（雷诺和福特）的创新过程的比较研究。
Based on evolutionist theories and project management knowledge, a connectionist model based on genetic algorithm is built to simulate innovation process in organizations. Transformation and selection produce micro dynamics to create macro behavior in the agents' population. Results clarify Darwinian Lamarckian adaptation mechanisms as their relation to environment and their interactions. Simulations show the existence of an optimal level of experimentation and selection of projects upstream the innovation process, demonstrate that the efficiency of evolutionist processes is contingent to environment complexity and allow exploring interdependencies and coexistence between two paths of evolution. The model validity is approached through similarity to admitted theory and through a comparative study of the innovation processes of two car makers (Renault and Ford).