Nowadays, the use of multiagent systems (MAS) has expanded significantly, particularly in complex and dynamic environments. This increased use of MAS is due to their openness, heterogeneity, and the complexity of the systems in which they are deployed. In fact, MAS allow users’ requirements to be met better by including several social and organizational considerations. Hence, it is crucial to consider the dynamic organizational aspects to enhance stability and adaptability and optimize performance. By addressing both the static and dynamic aspects of MAS, their efficiency can be significantly improved. In this context, new approaches and models have been proposed to focus on the dynamic aspects of MAS’ organizations. This paper synthesizes the dynamic aspects of MAS organization, highlighting innovative mechanisms and models that enable structural, functional, and normative changes.