Organizational evolution, learning, and selection: A genetic-algorithm-based model

• 成果类型: Article
• 署名作者: Bruderer, E; Singh, JV
• 署名单位: University of Pennsylvania; University of Pennsylvania
• 刊物名称: ACADEMY OF MANAGEMENT JOURNAL
• ISSN/ISSBN: 0001-4273
• DOI: 10.5465/257001
• 发表日期: 1996
• 页码: 1322-1349
• 关键词: TECHNOLOGICAL DISCONTINUITIES; dynamic-model; rationality; INNOVATION; simulation; mortality; ecology; inertia

摘要

This study proposes a relatively simple computational model of organizational evolution based on the genetic algorithm. The model includes three organizational processes: variation, adaptation, and selection of routines. We use the model to demonstrate theoretically that environmental selection influences adaptation and adaptation, in turn, influences the selection process in a Darwinian model of evolution. Results of computer simulations are consistent with empirical observations, including the existence of three distinct phases of organizational evolution and the emergence of a dominant organizational design.