Abstract
Several versions of a mathematical programming model which determines attribute weights for each consumer are empirically evaluated 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.
Original language | English |
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Pages (from-to) | 1217-1229 |
Number of pages | 13 |
Journal | Management Science |
Volume | 20 |
Issue number | 8 |
DOIs | |
State | Published - 1974 |