An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

Canbaloğlu, Gülay (Koç University)
Treur, J. (TU Delft Safety and Security Science; Vrije Universiteit Amsterdam)
Roelofsma, P.H.M.P. (TU Delft Safety and Security Science)

Yang, Xin-She (editor)
Sherratt, Simon (editor)
Dey, Nilanjan (editor)
Joshi, Amit (editor)

2022

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.

Multilevel organizational learning
Adaptive network model
Self-model

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

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

Springer Nature

2023-07-01

978-981-19-1609-0

Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022

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

Lecture Notes in Networks and Systems, 2367-3370, 448

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2022 Gülay Canbaloğlu, J. Treur, P.H.M.P. Roelofsma