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)

9 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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publisher = "Springer Nature",

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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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