Key points are not available for this paper at this time.
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.
Pekelman et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: