Abstract
Modelling consumer preferences for multi-attributed distribution alternatives has been an important research topic for many years. Conjoint measurement, one of the most useful techniques in this area, has been growing in popularity over the last few years. The purpose of this paper is to present the usefulness of conjoint analysis to determine the contributions of distribution attributes to the choice order over combinations of attributes that represent realistic choice sets. It can be shown that such an analysis offers new insights for creating utility-oriented distribution alternatives.
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