A Dynamic Model of Individual and Collective Learning Amid Disruption
运用系统动力学方法，模拟员工离职、技术创新等中断事件对组织学习和生产力的影响，发现个体学习中断长期可能有益，而集体学习中断则始终有害。
Using the methodology of system dynamics, we model the effects of disruptive events on learning and productivity in organizations. We leverage the learning-by-doing and transactive memory system theories to model the underpinnings of learning processes at the collective and individual levels. We simulate the impact of disruptive events on organizational productivity and performance, such as employee turnover, technological innovation, reorganization, and extreme events (such as natural disasters), which disrupt individual knowledge, collective knowledge, or both. Finally, we discuss implications of our findings for future research on organizational learning and productivity. One implication is that representing organizational learning by a single power-law learning curve or even by multiple noninteracting learning curves may be in many cases inadequate. Another is that disruptions to individual learning can be beneficial to organizations in the long run, whereas disruptions to collective learning are detrimental in the short and long run. We discuss the factors that might help organizations mitigate the negative effects of disruption so that learning can occur amid even the most disruptive events.