Effective guidelines for organizational learning in the organizational cybernetics framework

This paper proposes guidelines effective in organizational learning for organizational functions. We model an organization that has four functional layers (self-organization, adaptation, coordination, and process) as in organizational cybernetics. Agents in each layer take organizational learning to resolve tasks more effectively. We propose guidelines in organizational learning for each functional layer. Then, we test their effectiveness with agent-based simulation: whether or not the guidelines improve organizational performance. The guidelines tested as effective are as follows. In the self-organization layer it is desirable to evaluate Agents' internal models by the evaluation values of organizations. In the adaptation layer the effective improvement comes from using an extent of differences between a realized evaluation value and an expected one in the evaluation of agents' internal models. In the coordination layer it is necessary that agents evaluate their internal models with the degree of improvement of the internal evaluation values in each layer. In the process layer it is important for the successful task resolving to evaluate from an extent of differences between a required resolution plan and the one actually made.