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...

Choice models produce part-worth estimates that tell us what product attributes individuals prefer. However, to understand the drivers of these preferences we need to model consumer heterogeneity by specifying covariates that explain cross-sectional variation in the part-worths. In this paper we...

Firms collect an increasing amount of consumer feedback in the form of unstructured consumer reviews. These reviews contain text about consumer experiences with products and services that are different from surveys that query consumers for specific information. A challenge in analyzing...

The canonical design of customer satisfaction surveys asks for global satisfaction with a product or service and for evaluations of its distinct attributes. Users of these surveys are often interested in the relationship between global satisfaction and the attributes, with regression analysis...

Scoring customers with regard to the expected number of their future transactions is of fundamental interest to direct marketers. For the purpose of customer scoring, a variety of models have been developed, based on the negative binomial distribution. Extensions of such models allow for...

In this paper, we analyze the influence of organizational design and boundary-spanning activities on the performance of new product development teams, differentiated by the stage of the innovation process. The organizational antecedents considered are organic vs. mechanistic tructures of such...

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