Abstract
This research addresses the influence of leadership and communication on learning within an organisation by direct mutual interactions in dyads. This is done in combination with multilevel organisational learning as an alternative route, which includes feed forward and feedback learning. The results show that effective communication (triggered by the active team leader, and/or by natural, informal communication), leads to a faster learning process within an organisation compared to the longer route via feed forward and feedback formal organisational learning. However, this more direct form of bilateral learning in general may take more of the employee’s time, as a quadratic number of dyadic interactions in general is less efficient than a linear number of interactions needed for feed forward and feedback organisational learning.
| 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 | 13 |
| Pages | 327-360 |
| Number of pages | 34 |
| ISBN (Electronic) | 9783031287350 |
| ISBN (Print) | 9783031287343, 9783031287374 |
| DOIs | |
| Publication status | Published - 2023 |
Publication series
| Name | Studies in Systems, Decision and Control |
|---|---|
| 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 network model
- Communication
- Leadership
- Mental models
- Organisational learning