Many firms rely on choice experiment–based models to evaluate future marketing actions
under various market conditions. This research investigates choice complexity (ie, number of …

To use multiplicative competitive interaction (MCI) models as part of a theory of the
evaluative process in choice, we need a method to transform interval scale consumer …

In discrete choice modeling (DCM), model misspecifications may lead to limited
predictability and biased parameter estimates. In this paper, we propose a new approach for …

This paper reports on the potential to use stated preference discrete choice modelling
(SPDCM) in health program evaluation. Interest is developing in the translation of these …

The need for cost effective research techniques in transport has led to increasing use of
Stated Preference data, as well as the development of mixed models, based on multiple …

Are there general algebraic laws which describe how consumers make choices from sets of
alternatives? In this paper we review the verdict of research which has sought to answer this …

It has become popular practice that joint estimation of choice models that use stated
preference (SP) and revealed preference (RP) data requires a way of adjusting for scale to …

Methodological developments in conjoint analysis (Green & Srinivasan 1990; Louviere
1988) have created many alternatives for designing and conducting conjoint experiments …

We review current state-of-the-art practices for combining preference data from multiple
sources and discuss future research possibilities. A central theme is that any one data …

The emergence of Bayesian methodology has facilitated respondent-level conjoint models,
and deriving utilities from choice experiments has become very popular among those …