Decisions take time, and the time taken to reach a decision is likely to be informative about the cost of more precise …

In line with the fallacy of riskification of uncertainty by which decision makers believe that the effects of …-centered perspective on organizational decision-making under uncertainty … organizational inefficiency in dealing with uncertainty shocks--exogenous hazards whose welfare effects spread across industries and …

This paper discusses how limited ability to assess patient risk of illness and predict treatment response may affect … ability of guideline developers and clinicians to predict patient outcomes. Recognizing that uncertainty will continue to … afflict medical decision making, I apply basic decision theory to suggest reasonable decision criteria with well …

, and strategic choice. The analysis shows that while Knightian uncertainty creates a more challenging decision environment …This paper examines the relationship between Knightian uncertainty and Bayesian approaches to entrepreneurship. Using … Bewley's formal model of uncertainty and incomplete preferences, it demonstrates that key predictions from Bayesian …

constructed-choice model for general decision making. The model departs from utility theory and prospect theory in its treatment … context on goals, resources, plans and decision rules. The paper concludes by suggesting some prescriptions for improving … individual decision making with respect to protective measures …

deep uncertainty resulting from technical change, imperfect information, coordination hurdles and structural breaks. In …

This paper examines the role of artificial intelligence as a strategist in organizational decision-making by extending … different decision contexts, focusing on how each type generates confidence, achieves agreement, and implements decisions … value is created: direct decision quality improvement and enhanced coordination. The authors propose domain …

Recent advances in AI represent improvements in prediction. We examine how decision-making and risk management … designed to address uncertainty. In particular, many processes are designed to enable coordinated decision-making among … strategies change when prediction improves. The adoption of AI may cause substitution away from risk management activities used …

Welfare Economics. A key theme of Cognitive Economics is finite cognition (often misleadingly called "bounded rationality …

was 1-3 degrees Fahrenheit. In addition, people with higher risk estimates, whether for temperature or related risks (e …, significant behavioral propensities also emerged. For example, accessibility of neutral information on global warming boosted risk …-change arena, behavioral decision tendencies are like a fun-house mirror: They magnify some estimates and shrink others, but the …