ABSTRACT This paper advances a quantum‐inspired systemic framework for defining the informational value of data. The framework departs from intrinsic and static conceptions of value, describing it instead as an emergent and relational property dependent on context and observer. Using the notions of superposition and entanglement as epistemic constructs, it characterises informational value as a dynamic interplay between data, analytical capacities and decision environments. The model explains how meaning and utility arise from complementarity and interaction and how correlations may both amplify and degrade informational effectiveness. Managerial implications include portfolio‐based logics for data procurement, dynamic revaluation practices and entanglement‐aware approaches to security and governance. The framework also informs the design of adaptive, knowledge‐based and AI systems capable of prioritising data according to informational effectiveness. The contribution is conceptual and provides a systemic foundation for future empirical and simulation‐based research on informational value and decision‐making in complex sociotechnical systems.
Nicolò G. Totaro (Mon,) studied this question.