Equilibrium Analysis for Multilevel Organisational Learning Models

Gülay Canbaloğlu, Jan Treur*

*Corresponding author for this work

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

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Abstract

In this chapter, equilibrium analysis for network models is addressed and applied to a network model of multilevel organisational learning. Equilibrium analysis can consider both properties of aggregation characteristics and properties of connectivity characteristics of a network. For connectivity characteristics, it is shown by introducing a form of stratification how for acyclic networks the equilibrium values of all nodes can be directly computed (by any functions used for aggregation) from those of the (independent) nodes without incoming connections. Moreover, by introducing a form of stratification for the network’s strongly connected components, it is also shown for any type of connectivity, similar equilibrium analysis results can be obtained relating equilibrium values in any component to equilibrium values in (independent) components without incoming connections. For aggregation characteristics, it is shown how certain classes of nonlinear functions used for aggregation in network models enable equilibrium analysis of the emerging dynamics within the network like linear functions do. All these results are illustrated by applying them to an example network model for organisational learning.

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
Chapter17
Pages473-502
Number of pages30
ISBN (Electronic)9783031287350
ISBN (Print)9783031287343, 9783031287374
DOIs
Publication statusPublished - 2023

Publication series

NameStudies in Systems, Decision and Control
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

  • Equilibrium analysis
  • Multilevel organisational learning

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