Computational Analysis of the Influence of Leadership and Communication on Learning Within an Organisation

Debby Bouma, Gülay Canbaloğlu, Jan Treur*, Anna Wiewiora

*Corresponding author for this work

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

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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 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
Chapter13
Pages327-360
Number of pages34
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

  • Adaptive network model
  • Communication
  • Leadership
  • Mental models
  • Organisational learning

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