In the social sciences, it is often useful to introduce latent variables and usestructural equation modeling to quantify relations among observable and latentvariables. Data gathered through surveys is frequently ordinal in nature, asLikert-scale type questions are used in most questionnaires....

Customer scoring is widely practiced in industries such as mail order, telecommunications or financial services to identify customers for specific marketing activities. It has been suggested in the literature to score customers on the basis of the value of their transactions per unit of waiting...

Consumer demand for products often result in the purchase of multiple goods at the same time. Corner solutions, or the non-purchase of items, occur when consumers have strong preference for some goods that do not satiate and weak preference for other goods. However, if non-purchase arises...

User generated content in the form of customer reviews, blogs or tweets is an emerging and rich source of data for marketers. Topic models have been successfully applied to such data, demonstrating that empirical text analysis benefits greatly from a latent variable approach which summarizes...

Brand managers in packaged goods categories need to understand drivers of both primary and secondary demand (i.e., overall category and brand-specific demand) in order to improve product and pricing decisions. In the presence of variety seeking, primary demand may depend on the composition and...