Abstract
We define sources of heterogeneity in consumer utility functions related to individual differences in response tendencies, drivers of utility, form of the consumer utility function, perceptions of attributes, state dependencies, and stochasticity. A variety of alternative modeling approaches are reviewed that accommodate subsets of these various sources including clusterwise regression, latent structure models, compound distributions, random coefficients models, etc. We conclude by defining a number of promising research areas in this field.
Full Citation
Marketing Letters
vol.
8
,
(July 01, 1997):
335
-48
.