Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models

Gülay Canbaloğlu, Jan Treur, Anna Wiewiora

Research output: Book / ReportBookAcademicpeer-review

Abstract

Organizational learning is a dynamic, multilevel type of learning both involving individuals and independent of individuals. The extensive literature on the concept of organizational learning has some deficiencies when it comes to computational models for it. There seems to be no detailed computational formalization of a clearly defined organizational learning process from beginning to end. In this book, a self-modeling network perspective is used to model the different processes and phases of multilevel organizational learning.
The transitions between individual and organizational learning and the role of learning in teams and projects are keypoints of understanding and directing the learning process of organizations. A self-modeling network modeling approach is used throughout the book to address all this. Computational modeling of organizational learning provides a more observable formalization of development steps and usage of shared mental models.
Original languageEnglish
PublisherSpringer Nature Switzerland AG
Number of pages450
Publication statusAccepted/In press - 31 Dec 2021

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