Mathematical Programming Models for the Determination of Attribute Weights

Dov Pekelman and Subrata K. Sen
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Dov Pekelman: University of Chicago
Subrata K. Sen: University of Chicago

Management Science, 1974, vol. 20, issue 8, 1217-1229

Abstract: Several versions of a mathematical programming model which determines attribute weights for each consumer are empirically eavluated using data on dry cereals and automobiles. The model is found to be a good predictor of consumer preferences, particularly for dry cereals. Managerial implications for product repositioning, new product design, and market segmentation are discussed in the paper.

Date: 1974
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