Abstract Prescriptive process monitoring methods recommend interventions during the execution of a case that, if followed, can improve performance. Research on prescriptive so far has focused mainly improving underlying algorithms and providing suitable explanations for recommendations. Empirical works indicate, though, that workers often do not follow recommendations even they understand them....

Nine hearing threshold patterns and uncomfortable loudness level combinations were used in comparing three hearing aid prescriptive procedures by means of a modified Articulation Index. In a minority of the comparisons a small dynamic range required a reduction from the gain that would have been prescribed. For these cases reducing the real-ear gain, in turn, resulted in a mean lowering of the ...

The deontic logic dus is a deontic update semantics for prescriptive obligations based on the update semantics of Veltman. In dus the definition of logical validity of obligations is not based on static truth values but on dynamic action transitions. In this paper prescriptive prima facie obligations are formalized in update semantics. The logic formalizes the specificity principle, has reinsta...

John Hare has proposed “prescriptive realism” in an attempt to stake out a middle-ground position in the twentieth century Anglo-American debates concerning metaethics between substantive moral realists and antirealistexpressivists. The account is supposed to preserve both the normativity and objectivity of moral judgments. Hare defends a version of divine command theory. The proposal succeeds ...

This paper focuses on the first step in combining prescriptive analytics with scenario techniques in order to provide strategic development after the use of InSciTe, a data prescriptive analytics application. InSciTe supports the improvement of researchers ‘individual performance by recommending new research directions. Standardized influential factors are presented as a foundation for automate...

This article takes the form of a research proposal. The paper seeks to address the problem faced by investors of how best to deal with decision making under risk. The methodology utilizes a normative model from economics—expected utility theory—and a descriptive model from psychology—prospect theory—to formulate a rational but realistic compromise between the two: a prescriptive model of risk p...

Prescription drug spending is growing faster than any other sector of healthcare. However, very little is known about patterns of prescribing and cost of prescribing between general practices. In this study, we examined variation in prescription rates and prescription costs through time for 55 GP surgeries in Northern Ireland Western Health and Social Care Trust. Temporal changes in variability...

Predictive analyses taking advantage of the recent explosion in the availability and accessibility of data have been made possible through flexible machine learning methodologies that are often well-suited to the variety and velocity of today’s data collection. This can be witnessed in recent works studying the predictive power of social media data and in the transformation of business practice...

People's beliefs about normality play an important role in many aspects of cognition and life (e.g., causal cognition, linguistic semantics, cooperative behavior). But how do people determine what sorts of things are normal in the first place? Past research has studied both people's representations of statistical norms (e.g., the average) and their representations of prescriptive norms (e.g., t...