The following sections are included:IntroductionTheoretical foundationsSingle choiceConsumer heterogeneityMultiple decisionsEconomic theoryChoice dependenceConclusionsReferences

Product recommendation models are key tools in customer relationship management (CRM). This study develops a product recommendation model based on the principle that customer preference similarity stemming from prior purchase behavior is a key element in predicting current product purchase. The...

One of the key problems in database marketing is the identification and profiling of households that are most likely to be interested in a particular product or service. Principal component analysis (PCA) of customer background information followed by logistic regression analysis of response...

Data interval bias, the biased estimation of advertising carryover in aggregate data, can be viewed as a misinterpretation of the aggregate advertising-sales relationship due to missing micro advertising data. This paper argues that if the researcher does not explicitly model the firm's...

We develop a general class of factor-analytic models for the analysis of multivariate (truncated) count data. Dependencies in multivariate counts are of interest in many applications, but few approaches have been proposed for their analysis. Our model class allows for a variety of distributions...

A variant of Banker and Morey's (Banker, R. D., R. C. Morey. 1986. The use of categorical variables in data envelopment analysis. Management Sci. 32(12, December) 1613--1627.) DEA model for controllable ordinal outputs. As opposed to the original model, this version allows the comparison of a...

In a situation where several hundred new music albums are released each month, producing sales forecasts in a reliable and consistent manner is a rather difficult and cumbersome task. The purpose of this study is to obtain sales forecasts for a new album before it is introduced. We develop a...

With recent advances in information technology, most companies are amassing extensive customer databases. The wealth of information in these databases can be useful in identifying those customers most likely to purchase a new product and in predicting when this adoption may take place. This can...