In line with the fallacy of riskification of uncertainty by which decision makers believe that the effects of unpredictable phenomena can be captured accurately by probability distributions, organizational scholars commonly treat the organizational inefficiency in dealing with uncertainty...

This book offers valuable insights into the management of uncertainty and business enterprises risk. Propelled by clear construct and communication, Nishimura introduces an innovate model (COLC) that embodies forward-looking, globalized understandings of how managers can exploit profit...

Managing Uncertainty, Mitigating Risk proposes that financial risk management broaden its approach, maintaining quantification where possible, but incorporating uncertainty. The author shows that by using broad quantification techniques, and using reason as the guiding principle, practitioners...

Are excess returns predictable and if so, what does this mean for investors? Previous literature has tended toward two polar viewpoints: that predictability is useful only if the statistical evidence for it is incontrovertible, or that predictability should affect portfolio choice, even if the...

We use data from the Survey of Professional Forecasters to compare point forecasts of GDP growth and inflation with the subjective probability distributions held by forecasters. We find that SPF forecasters summarize their underlying distributions in different ways and that their summaries tend...

The selection of climate policies should be an exercise in risk management reflecting the many relevant sources of uncertainty. Studies of climate change and its impacts rarely yield consensus on the distribution of exposure, vulnerability, or possible outcomes. Hence policy analysis cannot...

The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives....

Framing the Risk Challenge -- Understanding the Hidden Risk of Dynamic Complexity -- Understanding the Nature of Risk -- Human Interaction and Perception of Risk -- Risk Evolves as Experience Evolves -- Why the Risk Comes as a Surprise -- Systemic and Systematic Risk -- How Risk is Currently...

Recent advances in AI represent improvements in prediction. We examine how decision-making and risk management strategies change when prediction improves. The adoption of AI may cause substitution away from risk management activities used when rules are applied (rules require always taking the...

Random Set Theory -- Random Multiple Objective Decision Making -- Bi-random Multiple Objective Decision Making -- Random Fuzzy Multiple Objective Decision Making -- Random Rough Multiple Objective Decision Making -- Methodological System for RLMODM -- Some Mathematical Aids -- Some Procedures