Individual Rigidity and Organizational Learning
18 Pages Posted: 18 May 2018
Date Written: May 4, 2018
We make use of an agent-based simulator of organizations with distributed decision-making in order to highlight factors that generate organizational learning curves. We focus on learning curves that arise with decision-makers that make one single, simple decision: routing things to do to those who have the shortest queue.
We find that, in this artificial environment, learning curves are most pronounced when decision-makers are overwhelmed by orders that entail steps linked to one another by AND conditions, when decision-makers are quite rigid, and when there are not too many of them. Our results confirm and extend those we previously obtained on a different simulator. In general terms, our findings suggest that organizations are better able to learn when it single components are incapable to learn.
Keywords: Organizational Learning, Individual Learning, Manufacturing
JEL Classification: D29, D83, L23
Suggested Citation: Suggested Citation