An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

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An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

Conference Paper (2022)

Author(s)

Gülay Canbaloğlu (Koç University)

J. Treur (Vrije Universiteit Amsterdam, TU Delft - Safety and Security Science)

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

Research Group

Safety and Security Science

Adaptive network model Self-model Multilevel organizational learning

DOI related publication

https://doi.org/10.1007/978-981-19-1610-6_16 Final published version

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https://resolver.tudelft.nl/uuid:c3cce3bc-b276-49e4-80c6-339d08a0c357

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Publication Year

2022

Language

English

Research Group

Safety and Security Science

Pages (from-to)

179-191

ISBN (print)

978-981-19-1609-0

ISBN (electronic)

978-981-19-1610-6

Event

Seventh International Congress on Information and Communication Technology (2022-02-21 - 2022-02-24), London, United Kingdom

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201

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Abstract

Multilevel organizational learning concerns an interplay of different types of learning at individual, team, and organizational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is introduced here and illustrated.

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