Zobrazeno 1 - 9
of 9
pro vyhledávání: '"multilevel organisational learning"'
Publikováno v:
Canbaloğlu, G, Treur, J & Wiewiora, A 2023, Discussion : Perspectives on Computational Modeling of Multilevel Organisational Learning . in Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models . Studies in Systems, Decision and Control, vol. 468, Springer Science and Business Media Deutschland GmbH, pp. 505-511 . https://doi.org/10.1007/978-3-031-28735-0_18
In this chapter, key findings presented in this volume are summarised and evaluated to demonstrate the usefulness and great potential of the adaptive dynamical system approach based on self-modeling networks in providing a useful structure to formali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::50c31d5bc89da413f5339b74384d8047
https://hdl.handle.net/1871.1/388782ed-ae75-4ce6-878a-589aa2a6fabb
https://hdl.handle.net/1871.1/388782ed-ae75-4ce6-878a-589aa2a6fabb
Multilevel organisational learning concerns an interplay of different types of learning at individual, team, and organisational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::7159ff7b5644a0e2917a70e7b7cfd839
https://doi.org/10.1007/978-3-031-28735-0_7
https://doi.org/10.1007/978-3-031-28735-0_7
In this chapter, equilibrium analysis for network models is addressed and applied to a network model of multilevel organisational learning. Equilibrium analysis can consider both properties of aggregation characteristics and properties of connectivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::eed07fa33bb3f6e002f51f813fcdd20c
https://doi.org/10.1007/978-3-031-28735-0_17
https://doi.org/10.1007/978-3-031-28735-0_17
In this chapter, key findings presented in this volume are summarised and evaluated to demonstrate the usefulness and great potential of the adaptive dynamical system approach based on self-modeling networks in providing a useful structure to formali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::9381ffadd6876d707e498d6f05c701e4
https://research.vu.nl/en/publications/388782ed-ae75-4ce6-878a-589aa2a6fabb
https://research.vu.nl/en/publications/388782ed-ae75-4ce6-878a-589aa2a6fabb
Autor:
Canbaloğlu, Gülay, Treur, Jan
Publikováno v:
Canbaloğlu, G & Treur, J 2023, Equilibrium Analysis for Multilevel Organisational Learning Models . in Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models . Studies in Systems, Decision and Control, vol. 468, Springer Science and Business Media Deutschland GmbH, pp. 473-502 . https://doi.org/10.1007/978-3-031-28735-0_17
In this chapter, equilibrium analysis for network models is addressed and applied to a network model of multilevel organisational learning. Equilibrium analysis can consider both properties of aggregation characteristics and properties of connectivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c7392e3a7180e5e3d434a4f027f3ce2b
https://research.vu.nl/en/publications/2aec460e-fe46-48ea-b146-9bc162c5ae48
https://research.vu.nl/en/publications/2aec460e-fe46-48ea-b146-9bc162c5ae48
Publikováno v:
Canbaloğlu, G, Treur, J & Roelofsma, P H M P 2023, A Controlled Adaptive Self-modeling Network Model of Multilevel Organisational Learning for Individuals, Teams or Projects, and Organisation . in Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models . Studies in Systems, Decision and Control, vol. 468, Springer Science and Business Media Deutschland GmbH, pp. 123-152 . https://doi.org/10.1007/978-3-031-28735-0_7
Multilevel organisational learning concerns an interplay of different types of learning at individual, team, and organisational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a8f7fa2b664d5b2678dcae5bbc2cb499
https://hdl.handle.net/1871.1/a9944d87-2272-40a7-a744-b3fab5d49413
https://hdl.handle.net/1871.1/a9944d87-2272-40a7-a744-b3fab5d49413
Publikováno v:
Canbaloglu, G, Treur, J & Wiewiora, A 2022, ' Multilevel organisational learning in a project-based organisation : Computational analysis based on a 3 rd-order adaptive network model ', Procedia Computer Science, vol. 213, pp. 71-82 . https://doi.org/10.1016/j.procs.2022.11.040
Procedia Computer Science, 213(C)
Procedia Computer Science, 213, 71-82. Elsevier BV
Procedia Computer Science, 213(C)
Procedia Computer Science, 213, 71-82. Elsevier BV
This paper describes how the recently developed self-modeling network modeling approach for multilevel organisational learning has been tested on applicability for a real-world case of a project-based organisation. The modeling approach was able to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce4fe2d95b9b0f4de33ee105fdae5fe
https://doi.org/10.1016/j.procs.2022.11.040
https://doi.org/10.1016/j.procs.2022.11.040
Conference
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Akademický článek
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