Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms

Gülay Canbaloğlu; Jan Treur; Anna Wiewiora

doi:10.1007/978-981-19-7346-8_1

Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms

Gülay Canbaloğlu^*, Jan Treur, Anna Wiewiora

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper addresses formalization and computational modeling of multilevel organizational learning, which is one of the major challenges for the area of organizational learning. It is discussed how various conceptual mechanisms in multilevel organizational learning as identified in the literature, can be formalized by computational mechanisms which provide mathematical formalizations that enable computer simulation. The formalizations have been expressed using a self-modeling network modeling approach.

Original language	English
Title of host publication	Computational Intelligence
Subtitle of host publication	Select Proceedings of InCITe 2022
Editors	Anupam Shukla, B. K. Murthy, Nitasha Hasteer, Jean-Paul Van Bellen
Publisher	Springer Nature Switzerland AG
Pages	1-17
Number of pages	17
ISBN (Electronic)	9789811973468
ISBN (Print)	9789811973451, 9789811973482
DOIs	https://doi.org/10.1007/978-981-19-7346-8_1
Publication status	Published - 2023
Event	2nd International Conference on Information Technology, InCITe 2022 - Noida, India Duration: 3 Mar 2022 → 4 Mar 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Publisher	Springer
Volume	968
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2nd International Conference on Information Technology, InCITe 2022
Country/Territory	India
City	Noida
Period	3/03/22 → 4/03/22

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Keywords

Computational modeling
Mechanisms
Organizational learning
Self-modeling networks

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10.1007/978-981-19-7346-8_1

Computational Modeling of Multilevel Organisational Learning_From Conceptual to Computational MechanismsFinal published version, 510 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/354617515

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Canbaloğlu, G., Treur, J., & Wiewiora, A. (2023). Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms. In A. Shukla, B. K. Murthy, N. Hasteer, & J.-P. Van Bellen (Eds.), Computational Intelligence: Select Proceedings of InCITe 2022 (pp. 1-17). (Lecture Notes in Electrical Engineering; Vol. 968). Springer Nature Switzerland AG. https://doi.org/10.1007/978-981-19-7346-8_1

Canbaloğlu, Gülay ; Treur, Jan ; Wiewiora, Anna. / Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms. Computational Intelligence: Select Proceedings of InCITe 2022. editor / Anupam Shukla ; B. K. Murthy ; Nitasha Hasteer ; Jean-Paul Van Bellen. Springer Nature Switzerland AG, 2023. pp. 1-17 (Lecture Notes in Electrical Engineering).

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abstract = "This paper addresses formalization and computational modeling of multilevel organizational learning, which is one of the major challenges for the area of organizational learning. It is discussed how various conceptual mechanisms in multilevel organizational learning as identified in the literature, can be formalized by computational mechanisms which provide mathematical formalizations that enable computer simulation. The formalizations have been expressed using a self-modeling network modeling approach.",

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author = "G{\"u}lay Canbaloğlu and Jan Treur and Anna Wiewiora",

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year = "2023",

doi = "10.1007/978-981-19-7346-8_1",

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Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms. in A Shukla, BK Murthy, N Hasteer & J-P Van Bellen (eds), Computational Intelligence: Select Proceedings of InCITe 2022. Lecture Notes in Electrical Engineering, vol. 968, Springer Nature Switzerland AG, pp. 1-17, 2nd International Conference on Information Technology, InCITe 2022, Noida, India, 3/03/22. https://doi.org/10.1007/978-981-19-7346-8_1

Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms. / Canbaloğlu, Gülay; Treur, Jan; Wiewiora, Anna.
Computational Intelligence: Select Proceedings of InCITe 2022. ed. / Anupam Shukla; B. K. Murthy; Nitasha Hasteer; Jean-Paul Van Bellen. Springer Nature Switzerland AG, 2023. p. 1-17 (Lecture Notes in Electrical Engineering; Vol. 968).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Canbaloğlu G, Treur J, Wiewiora A. Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms. In Shukla A, Murthy BK, Hasteer N, Van Bellen JP, editors, Computational Intelligence: Select Proceedings of InCITe 2022. Springer Nature Switzerland AG. 2023. p. 1-17. (Lecture Notes in Electrical Engineering). Epub 2023 Feb 16. doi: 10.1007/978-981-19-7346-8_1

Computational Modeling of Multilevel Organisational Learning: From Conceptual to Computational Mechanisms

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