TY - GEN
T1 - An Adaptive Self-Modeling Network Model for Multilevel Organisational Learning
AU - Canbaloğlu, Gülay
AU - Treur, Jan
AU - Roelofsma, Peter
PY - 2022/7/28
Y1 - 2022/7/28
N2 - Organisational learning is often considered to concern mental models as a vehicle for individual, team, and organizational learning. By learning individual mental models, a basis for formation of shared team mental models is created, and based on the different shared team mental models, a shared organisation mental model can be obtained. This pathway is indicated by feed-forward learning. In addition, feedback learning follows the opposite pathway: shared team mental models can be learned from a shared organisation mental model and individual mental models can be learned from shared team mental models. These pathways and their interactions provide complex dynamic and adaptive mechanisms that together constitute organizational learning. These mechanisms have been used as a basis for an adaptive computational network model for organisational learning. The model is illustrated by a not too complex but realistic case study.
AB - Organisational learning is often considered to concern mental models as a vehicle for individual, team, and organizational learning. By learning individual mental models, a basis for formation of shared team mental models is created, and based on the different shared team mental models, a shared organisation mental model can be obtained. This pathway is indicated by feed-forward learning. In addition, feedback learning follows the opposite pathway: shared team mental models can be learned from a shared organisation mental model and individual mental models can be learned from shared team mental models. These pathways and their interactions provide complex dynamic and adaptive mechanisms that together constitute organizational learning. These mechanisms have been used as a basis for an adaptive computational network model for organisational learning. The model is illustrated by a not too complex but realistic case study.
UR - https://dec.nure.ua/forum/viewtopic.php?p=116
M3 - Conference contribution
T3 - Lecture Notes in Networks and Systems
SP - 179
EP - 191
BT - Proceedings of the 7th International Congress on Information and Communication Technology, ICICT'22
PB - Springer Nature Switzerland AG
ER -