Adaptive Dynamical Systems Modelling of Transformational Organizational Change: with Focus on Organizational Culture and Organizational Learning

Autor: Lars Rass, Jan Treur, Wioleta Kucharska, Anna Wiewiora

Publikováno v: Cognitive Systems Research, 79, 85-108. Elsevier
Rass, L, Treur, J, Kucharska, W & Wiewiora, A 2023, ' Adaptive Dynamical Systems Modelling of Transformational Organizational Change: with Focus on Organizational Culture and Organizational Learning ', Cognitive Systems Research, vol. 79, pp. 85-108 . https://doi.org/10.1016/j.cogsys.2023.01.004

Transformative Organizational Change becomes more and more significant both practically and academically, especially in the context of organizational culture and learning. However computational modeling and a formalization of organizational change an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0407f3bc09146896ad11e9787e1e1374
https://research.vu.nl/en/publications/a78cc783-bb2f-47f6-ab3b-978439083d07

Integrating Knowledge Management and Governance for Innovation Outcomes: A New Framework for Managing Innovation in a Project Environment

Autor: Lee Foster, Anna Wiewiora, Timothy Donnet

Publikováno v: Journal of the Knowledge Economy.

Organisational competitive advantage is highly dependent on the ability to innovate and knowledge is a key component of innovation. Our understanding of knowledge processes and mechanisms is an emerging field of study and consequently, an understandi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::708f411857f6fc1bc61f68ac9d5f187f
https://doi.org/10.1007/s13132-023-01399-2

Adaptive network modeling of the influence of leadership and communication on learning within an organization

Autor: Debby Bouma, Gülay Canbaloğlu, Jan Treur, Anna Wiewiora

Publikováno v: Cognitive Systems Research, 79
Cognitive Systems Research, 79, 55-70. Elsevier
Bouma, D, Canbaloğlu, G, Treur, J & Wiewiora, A 2023, ' Adaptive network modeling of the influence of leadership and communication on learning within an organization ', Cognitive Systems Research, vol. 79, pp. 55-70 . https://doi.org/10.1016/j.cogsys.2023.01.003

This research addresses the influence of leadership and communication on learning within an organisation by direct mutual interactions in dyads. This is done in combination with multilevel organizational learning as an alternative route, which includ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6cb5a7ecf1ea45a652db32fe027930
http://resolver.tudelft.nl/uuid:808e5196-83e2-43fb-8286-65c1d49dda86

A socio-cognitive approach to leading a learning project team: A proposed model and scale development

Autor: Yulin Liu, Artemis Chang, Anna Wiewiora

Publikováno v: International Journal of Project Management. 39:646-657

This article proposes a theoretical model and measurement scale for leading a learning project team. While leadership is largely recognized as one of the most important mechanisms for transferring learning from individuals to projects, there lacks a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ff7cebab7b31403e52709724c8fda58
https://doi.org/10.1016/j.ijproman.2021.05.003

Multilevel organisational learning in a project-based organisation

Autor: Gülay Canbaloğlu, Jan Treur, Anna Wiewiora

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

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