Organisational learning processes often exploit developed individual mental models in order to obtain shared mental models for the organisation by some form of unification or aggregation. The focus in this paper is on this aggregation process, which may depend on a number of contextual factors. It is shown how a second-order adaptive network model for organisation learning can be used to model this process of aggregation of individual mental models in a context-dependent manner.
|Title of host publication||Complex Networks and Their Applications X|
|Subtitle of host publication||Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021|
|Editors||Rosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||13|
|ISBN (Print)||9783030934088, 9783030934118|
|Publication status||Published - 2022|
|Event||10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021 - Madrid, Spain|
Duration: 30 Nov 2021 → 2 Dec 2021
|Name||Studies in Computational Intelligence|
|Conference||10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021|
|Period||30/11/21 → 2/12/21|
Bibliographical notePublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.