Mathematical Programming Models for the Determination of Attribute Weights
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.
Year of publication: |
1974
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Authors: | Pekelman, Dov ; Sen, Subrata K. |
Published in: |
Management Science. - Institute for Operations Research and the Management Sciences - INFORMS, ISSN 0025-1909. - Vol. 20.1974, 8, p. 1217-1229
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Publisher: |
Institute for Operations Research and the Management Sciences - INFORMS |
Saved in:
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