Generalized additive models (GAMs) are a generalization of generalized linear models (GLMs) and constitute a powerful technique which has successfully proven its ability to capture nonlinear relationships between explanatory variables and a response variable in many domains. In this paper, GAMs...

Several recent studies have explored the virtues of behavioral targeting and personalization for online advertising. In this paper, we add to this literature by proposing a cost-effective methodology for the prediction of demographic web site visitor profiles that can be used for web advertising...

Several studies have demonstrated the superior performance of ensemble classification algorithms, whereby multiple member classifiers are combined into one aggregated and powerful classification model, over single models. In this paper, two rotation-based ensemble classifiers are proposed as...

Longitudinal consumer behavior has been modeled by sequence analysis. A popular application involves Acquisition Pattern Analysis exploiting typical acquisition patterns to predict a customer’s next purchase. Typically, the acquisition process is represented by an extensional, unidimensional...

Nowadays, companies are investing in a well-considered CRM strategy. One of the cornerstones in CRM is customer churn prediction, where one tries to predict whether or not a customer will leave the company. This study focuses on how to better support marketing decision makers in identifying...

This approach introduces idea mining as process of extracting new and useful ideas from unstructured text. We use an idea definition from technique philosophy and we focus on ideas that can be used to solve technological problems.<br> The rationale for the idea mining approach is taken over from...

The planning of technological research and development (R&D) is demanding in areas with many relationships between technologies. To support decision makers of a government organization with R&D planning in these areas, a methodology to make the technology impact more transparent is introduced....

This paper uses scanner data from two large retailers to offer new insights into the extent of price rigidity in Europe and the US. Recent empirical research in this field has made extensive use of monthly data to study price stickiness and to control for the impact of temporary sales. We show...

Past behavior and sociodemographics represent traditional predictors of charitable giving. The present study examines, in a real fundraising setting, whether measures of empathy (i.e., empathic concern and personal distress) can improve these predictions. The findings confirm the relevance of...

Since charitable fundraising relies heavily on direct mail, this paper studies how tailoring donation requests along the donor lifecycle could improve campaign success rate. Our field study provides a unique combination of three parameters whose combined interaction has not been studied to this...