An important aspect of customer relationship management is the targeting of customer
segments with tailored promotional activities. While most contributions focus on the selection …

A central problem in database marketing is how to choose which customers in the firm's
database to target with an offer. This paper presents a simple stochastic RFM model to carry …

This study has developed a new ensemble model and tested another ensemble model for
flood susceptibility mapping in the Middle Ganga Plain (MGP). The results of these two …

Companies greatly benefit from knowing how problems with data quality influence the
performance of segmentation techniques and which techniques are more robust to these …

Although the application of segmentation and predictive modeling is an important topic in
the database marketing (DBM) literature, no study has yet investigated the extent of adoption …

The key question of this study is: How long should customer event history be for customer
churn prediction? While most studies in predictive churn modeling aim to improve models by …

We propose a method to compute confidence bounds around the predictions from chi-
squared automatic interaction detection (CHAID). These bounds are useful for ex ante target …

We introduce Dynamic Multilevel Modeling (DMLM) to a multicatalog-brand environment to
determine the optimal frequency, size, and customer segmentation of direct marketing …

While the digital gap between large and small firms is a fairly well-known phenomenon, this
article focuses on the divide within SMEs. Specifically, the aim is to analyse factors that may …

In a new environment marked by the growing importance of Green House Gas emissions,
fuel poverty, and energy efficiency in the different national agendas, the comprehension of …