We present a review of research studies that deal with personalization and synthesize
current knowledge about these areas. We identify issues that we envision will be of interest …

We present a Hotelling duopoly and study the relationship between privacy regulation and
environmental policy in an industry in which firms invest in “green” innovation (ER &D) to …

Decision trees and logistic regression are two very popular algorithms in customer churn
prediction with strong predictive performance and good comprehensibility. Despite these …

On-demand platforms (eg, Uber, Lyft) often rely on independent workers, who are not
directly under the platform's control, to be available at the “right” time and locations to serve …

This article summarizes and draws connections among diverse streams of theoretical and
empirical research on the economics of privacy. We focus on the economic value and …

Data preparation is a process that aims to convert independent (categorical and continuous)
variables into a form appropriate for further analysis. We examine data-preparation …

In this article, we discuss the state of the art of models for customer engagement and the
problems that are inherent to calibrating and implementing these models. The authors first …

It is increasingly apparent that the financial value of a firm depends on off-balance-sheet
intangible assets. In this article, the authors focus on the most critical aspect of a firm: its …

Retailers confront a seemingly impossible dual competitive challenge: grow the top line
while also preserving their bottom line. Innovations in pricing and promotion provide …

The tailoring of a firm's marketing mix to the individual customer is the essence of one-to-one
marketing. In this paper, we distinguish between two forms of one-to-one marketing …