Adaptive Learning in Organizations: A System Dynamics-Based Exploration
用系统动力学框架研究组织中的经验学习局限，通过计算机模拟发现非线性动态、时间延迟和反馈误判使经验难以成为有效学习基础。
This paper employs a system dynamics-based framework to examine the limitations of experiential learning as a guide for decision-making in organizations. This framework departs from the more traditional approach to modelling experiential learning processes in organizations by emphasizing the systematic interaction between decision-making agents and their environments, rather than the effects of varying degrees of noise on performance. We present the results of a series of computer simulations that examined the consequences of adaptive learning in organizations by concentrating explicitly on the link between individual decisions and the system-level consequences generated by the interaction of individual choices. The results show that experience is a poor basis for learning primarily because the understanding of structural relations between individual actions and their aggregate consequences is confounded by nonlinear dynamics, time delays, and misperception of feedback.