Using Self-modeling Networks to Model Organisational Learning

Book Chapter (2023)
Author(s)

Gülay Canbaloğlu (Vrije Universiteit Amsterdam)

Jan Treur (Vrije Universiteit Amsterdam)

P.H.M.P. Roelofsma (TU Delft - Safety and Security Science)

Safety and Security Science
Copyright
© 2023 Gülay Canbaloğlu, Jan Treur, P.H.M.P. Roelofsma
DOI related publication
https://doi.org/10.1007/978-3-031-28735-0_6
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Gülay Canbaloğlu, Jan Treur, P.H.M.P. Roelofsma
Safety and Security Science
Pages (from-to)
93-121
ISBN (print)
978-3-031-28734-3
ISBN (electronic)
978-3-031-28735-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

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