Productivity equation and the m distributions of information processing in workflows
This work addresses workflow flexibility for organism-object environments, but it appears incremental as it builds on existing theoretical frameworks without clear empirical validation.
The authors tackled the problem of modeling productivity in workflows by developing a theoretical equation based on information theory and probabilities, enabling prediction and monitoring without strict empirical methods.
This research investigates an equation of productivity for workflows regarding its robustness towards the definition of workflows as probabilistic distributions. The equation was formulated across its derivations through a theoretical framework about information theory, probabilities and complex adaptive systems. By defining the productivity equation for organism-object interactions, workflows mathematical derivations can be predicted and monitored without strict empirical methods and allows workflow flexibility for organism-object environments.