two questions from the decision making literature. First, what determines how much uncertainty a firm has when investing … data, support was found for the Bounded Rationality hypothesis; firms have less uncertainty about an acquisition … hypothesis; firms whose prior machines perform below aspiration levels seek more uncertainty in their subsequent acquisitions …

variables were significant. The major focus of the study -- differences between individual and group-assisted risk evaluations … role. Based on the results of this study, it appears that the accounting firm wishing to suppress risk in its evaluations …

certainty, risk, or uncertainty, the software outputs match with the results of actual highway programming at least 85 percent … physical highway assets or system usage only under certainty or risk, this research focuses on the management of an entire … highway network that also incorporates tradeoff decisions involving uncertainty. Systemwide multiattribute utility functions …

the distortion of outcome and probability information in risky decisions or the effects of ambiguity on information … ambiguity by describing outcomes and probabilities using either point estimates or ranges of values. Results replicated those of … Study 1, with no effects of ambiguity on information distortion. …

the distortion of outcome and probability information in risky decisions or the effects of ambiguity on information …, we manipulated ambiguity by describing outcomes and probabilities using either point estimates or ranges of values …. Results replicated those of Study 1, with no effects of ambiguity on information distortion. …

with a probability distribution. Consequently, they do not allow for Knightian uncertainty, or ambiguity, with respect to … accident risk and cannot accommodate optimism (ambiguity loving) or pessimism (ambiguity aversion). This paper presents a …Standard accident models are based on the expected utility framework and represent agents’ beliefs about accident risk …

We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward … from the agent's ambiguity aversion. We show how to use these general results for search problems and American Options. …

We model and solve Best Choice Problems in the multiple prior framework: An ambiguity averse decision maker aims to … choose the best among a fixed number of applicants that appear sequentially in a random order. The decision faces ambiguity … stopping strategy is simple. Ambiguity can lead to substantial differences to the classical threshold rule. …