Multilevel organisational learning in a project-based organisation
Computational analysis based on a 3rd-order adaptive network model
Gülay Canbaloglu (Koç University)
Jan Treur (Vrije Universiteit Amsterdam, TU Delft - Safety and Security Science)
Anna Wiewiora (Queensland University of Technology)
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Abstract
This paper describes how the recently developed self-modeling network modeling approach for multilevel organisational learning has been tested on applicability for a real-world case of a project-based organisation. The modeling approach was able to successfully address this complex case by designing a third-order adaptive network model. Doing this, as a form of further innovation three new features have been added to the modeling approach: Recombination of selected high-quality mental model parts, refinement of mental model parts, and distinction between context-sensitive detailed control and global control.
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