Computational Modeling of Multilevel Organizational Learning

From Conceptual to Computational Mechanisms

Conference Paper (2023)
Author(s)

Gülay Canbaloğlu (Koç University)

Jan Treur (TU Delft - Safety and Security Science, Vrije Universiteit Amsterdam)

Anna Wiewiora (Queensland University of Technology)

Research Group
Safety and Security Science
DOI related publication
https://doi.org/10.1007/978-981-19-7346-8_1 Final published version
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Publication Year
2023
Language
English
Research Group
Safety and Security Science
Pages (from-to)
1-17
Publisher
Springer
ISBN (print)
9789811973451
Event
2nd International Conference on Information Technology, InCITe 2022 (2022-03-03 - 2022-03-04), Noida, India
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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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