Abstract
Within organisational learning literature, mental models are considered a vehicle for both individual learning and organisational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organisation is created, which after its formation can then be adopted by individuals. This provides mechanisms for organisational learning. These mechanisms have been used as a basis for an adaptive computational network model. The model is illustrated by a not too complex but realistic case study.
| Original language | English |
|---|---|
| Title of host publication | Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models |
| Editors | Gülay Canbaloğlu, Jan Treur, Anna Wiewiora |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Chapter | 6 |
| Pages | 93-121 |
| Number of pages | 29 |
| ISBN (Electronic) | 9783031287350 |
| ISBN (Print) | 9783031287343, 9783031287374 |
| DOIs | |
| Publication status | Published - 2023 |
Publication series
| Name | Studies in Systems, Decision and Control |
|---|---|
| Publisher | Springer |
| Volume | 468 |
| ISSN (Print) | 2198-4182 |
| ISSN (Electronic) | 2198-4190 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Adaptive computational network model
- Mental models
- Organisational learning mechanisms