Viable systems approach

Intelligence Augmentation (IA) in Complex Decision Making: A New View of the vSa Concept of Relevance

Recent literature from the stream of the Viable Systems Approach (vSa) highlighs the need to shift from the concept of Artificial Intelligence (AI) to that of Intelligence Augmentation (IA) in complex decision making. IA is defined as an intelligence given by the integration and interaction between wise people and AI entities. More specifically, in the interpretative framework of the vSa Information Variety Model (IVM), IA qualifies the ability to approach a problem by changing the system’s Information Variety.

A System Dynamics perspective on a Viable Systems approach definition for sustainable value

Aim of this work is to shed light on sustainable value and develop a model, based on vSa and translated at applicative level through the system dynamics methodology for measuring sustainable value. By adopting vSa perspective, value, characterized by strongly subjective contents, will be considered as a vector quantity, as the result of the subjective weighting of the different dimensions that may change according to the considered organization.

Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment—Insights from the Chinese Case in Facing COVID-19

The increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.

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