Discussion: Perspectives on Computational Modeling of Multilevel Organisational Learning
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28735-0_18
Reference13 articles.
1. Canbaloğlu, G., Treur, J., Wiewiora, A.: Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. Springer Nature (this volume) (2023)
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3. Crossan, M.M., Lane, H.W., White, R.E.: An organizational learning framework: from intuition to institution. Acad. Manag. Rev. 24, 522–537 (1999)
4. Doornkamp, S., Jabeen, F., Treur, J., Taal, H.R., Roelofsma, P.H.M.P.: A controlled adaptive network model of a virtual coach supporting speaking up by healthcare professionals to optimise patient safety. Cogn. Sys. Rest. 81(1): 37–49 (2023). https://doi.org/10.1016/j.cogsys.2023.02.002
5. Hendrikse, S.C.F., Treur, J., Koole, S.L.: Modeling emerging interpersonal synchrony and its related adaptive short-term affiliation and long-term bonding: a second-order multi-adaptive neural agent model. Int. J. Neural Syst. (2023). https://doi.org/10.1142/S0129065723500387
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