Using Self-modeling Networks to Model Organisational Learning

Gülay Canbaloğlu*, Jan Treur, Peter H.M.P. Roelofsma

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

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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 languageEnglish
Title of host publicationComputational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models
EditorsGülay Canbaloğlu, Jan Treur, Anna Wiewiora
PublisherSpringer Science and Business Media Deutschland GmbH
Chapter6
Pages93-121
Number of pages29
ISBN (Electronic)9783031287350
ISBN (Print)9783031287343, 9783031287374
DOIs
Publication statusPublished - 2023

Publication series

NameStudies in Systems, Decision and Control
PublisherSpringer
Volume468
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

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