Abstract
This chapter addresses formalisation and computational modeling of multilevel organisational learning, which is one of the major challenges for the area of organisational learning. It is discussed how various conceptual mechanisms in multilevel organisational learning as identified in the literature, can be formalised by computational mechanisms which provide mathematical formalisations that enable computer simulation. The formalisations have been expressed using a self-modeling network modeling approach.
Original language | English |
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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 | 5 |
Pages | 73-92 |
Number of pages | 20 |
ISBN (Electronic) | 9783031287350 |
ISBN (Print) | 9783031287343, 9783031287374 |
DOIs | |
Publication status | Published - 2023 |
Publication series
Name | Studies in Systems, Decision and Control |
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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
- Computational modeling
- Mechanisms
- Organisational learning
- Self-modeling networks