An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

Gülay  Canbaloğlu; J. Treur; P.H.M.P. Roelofsma

doi:10.1007/978-981-19-1610-6_16

An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

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

Safety and Security Science

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

25 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Nature
Pages	179-191
Number of pages	13
ISBN (Electronic)	978-981-19-1610-6
ISBN (Print)	978-981-19-1609-0
DOIs	https://doi.org/10.1007/978-981-19-1610-6_16
Publication status	Published - 2022
Event	Seventh International Congress on Information and Communication Technology - London, United Kingdom Duration: 21 Feb 2022 → 24 Feb 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	448
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Seventh International Congress on Information and Communication Technology
Abbreviated title	ICICT 2022
Country/Territory	United Kingdom
City	London
Period	21/02/22 → 24/02/22

Bibliographical note

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.

Keywords

Multilevel organizational learning
Adaptive network model
Self-model

Access to Document

10.1007/978-981-19-1610-6_16

978-981-19-1610-6_16Final published version, 0.99 MB

Cite this

Canbaloğlu, G., Treur, J., & Roelofsma, P. H. M. P. (2022). An Adaptive Self-modeling Network Model for Multilevel Organizational Learning. In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022 (pp. 179-191). (Lecture Notes in Networks and Systems; Vol. 448). Springer Nature. https://doi.org/10.1007/978-981-19-1610-6_16

Canbaloğlu, Gülay ; Treur, J. ; Roelofsma, P.H.M.P. / An Adaptive Self-modeling Network Model for Multilevel Organizational Learning. Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Nature, 2022. pp. 179-191 (Lecture Notes in Networks and Systems).

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title = "An Adaptive Self-modeling Network Model for Multilevel Organizational Learning",

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.",

keywords = "Multilevel organizational learning, Adaptive network model, Self-model",

author = "G{\"u}lay Canbaloğlu and J. Treur and P.H.M.P. Roelofsma",

note = "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.; Seventh International Congress on Information and Communication Technology, ICICT 2022 ; Conference date: 21-02-2022 Through 24-02-2022",

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Canbaloğlu, G, Treur, J & Roelofsma, PHMP 2022, An Adaptive Self-modeling Network Model for Multilevel Organizational Learning. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Lecture Notes in Networks and Systems, vol. 448, Springer Nature, pp. 179-191, Seventh International Congress on Information and Communication Technology, London, United Kingdom, 21/02/22. https://doi.org/10.1007/978-981-19-1610-6_16

An Adaptive Self-modeling Network Model for Multilevel Organizational Learning. / Canbaloğlu, Gülay ; Treur, J.; Roelofsma, P.H.M.P.
Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Nature, 2022. p. 179-191 (Lecture Notes in Networks and Systems; Vol. 448).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - 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.

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Canbaloğlu G, Treur J, Roelofsma PHMP. An Adaptive Self-modeling Network Model for Multilevel Organizational Learning. In Yang XS, Sherratt S, Dey N, Joshi A, editors, Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Springer Nature. 2022. p. 179-191. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-19-1610-6_16

An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

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