Multilevel organisational learning in a project-based organisation

Autor:	Gülay Canbaloğlu, Jan Treur, Anna Wiewiora
Přispěvatelé:	Computer Science, Social AI
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	project-based organisation multilevel organisational learning adaptive computational model General Earth and Planetary Sciences General Environmental Science
Zdroj:	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
ISSN:	1877-0509
DOI:	10.1016/j.procs.2022.11.040
Popis:	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 successfully address this complex case by designing a third-order adaptive network model. Doing this, as a form of further innovation three new features have been added to the modeling approach: Recombination of selected high-quality mental model parts, refinement of mental model parts, and distinction between context-sensitive detailed control and global control.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce4fe2d95b9b0f4de33ee105fdae5fe https://doi.org/10.1016/j.procs.2022.11.040 Zobrazit plný text záznamu