Observational analysis showed high decision accuracy in purchase decisions, highlighting potential biases in quantity assessment.
This study investigates decision-making accuracy with respect to quantity aspects of purchase decisions. A set of experiments simulated a retail purchase context. These experiments gauged decision accuracy and tested factors that bias quantity judgments. Experiment participants tended to overbuy, but overall accuracy was high: 88 percent of decisions were within ten percent of the optimal quantity. Decision accuracy worsened in the presence of demand trends, increased variation in demand probabilities, and increased attention to non-diagnostic framing information. Subjects were largely unable to assess their decision accuracy. Results identify decision contexts that may produce poor decisions by professional buyers.
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Bryan Lilly (2001) studied this question.
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