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This paper describes the integration of a network optimization algorithm with a decision and information system for the Graduate School of Management at UCLA. This optimization algorithm plays an important role in the determination of the annual teaching schedule by assigning faculty to courses...
Persistent link: https://www.econbiz.de/10009208970
An individual's preference for risky alternatives is influenced by the strength of preference he feels for the consequences and his attitude toward risk taking. Conventional measures of risk attitude confound these two factors. In this paper we formally separate these factors and explore how...
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No abstract available.
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This paper explores the differences in observed risk propensity among petroleum firms and their impact on firm performance. In this work, we (1) develop a decision theoretic model which measures a firm's risk propensity in the form of an "implied" utility function; (2) investigate changes in...
Persistent link: https://www.econbiz.de/10009214802
In many decision problems, the consequences of an action may impact several individuals, and the decision may be based on the preferences of those who are affected. The rule for aggregating these individual preferences is called a group preference aggregation rule. In this paper we present a...
Persistent link: https://www.econbiz.de/10009214862
This paper describes a study performed to investigate the use of the Nash Bargaining Model in the selection of a trajectory for the Mariner Jupiter/Saturn 1977 (MJS77) Project spacecraft in the vicinity of Titan, the largest satellite of Saturn. This effort was exploratory in nature with the...
Persistent link: https://www.econbiz.de/10009218212
Based on our previous work on the standard measure of risk, this paper presents two classes of measures for perceived risk by decomposing a lottery into its mean and standard risk. One of the classes of our risk measures presumes that there is no risk when there is no uncertainty involved, and...
Persistent link: https://www.econbiz.de/10009218379