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The impact of a decision calculus model on decision quality is assessed in a laboratory setting. An experimental design assesses the effects of: (a) the size of the problem (i.e., the number of control units over which allocations are to be made), (b) the noise-to-signal ratio in the market and (c) individual differences among the model users. The aspects of individual differences studied are: (1) time taken on the task, (2) mathematical ability and (3) cognitive style. The main experiment involved 96 subjects in a full factorial design. In general, the decision calculus model had a beneficial impact on a broad range of decision quality measures, particularly profit achievement.
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Shelby H. McIntyre (1982) studied this question.
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