![]() Theoretical foundations of this study were holarchies, complex adaptive systems, evolutionary theory, and quantum mechanics, among other recently developed physical and information theories. The purpose of the study was to construct an effective metamodel for organization evolution based on a proposed complex adaptive structure-the info-holarchy. The research problem addressed in this study was the ineffective manner in which classical model-predict-control methods used in business analytics attempt to define organization evolution. However, little is known of how information shapes evolution in such organizations, a gap that can lead to misleading analytics. Social organizations are abstractly modeled by holarchies-self-similar connected networks-and intelligent complex adaptive multiagent systems-large networks of autonomous reasoning agents interacting via scaled processes.
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