David Speights, Ph.D., Daniel Downs, Ph.D., and Adi Raz, DBA
RESEARCH: Retail Theft and Loss Prevention Analytics
Who shoplifts? There is no typical profile of a shoplifter. Based on our experience of interviewing offenders, shoplifters can be male or female, of any race, as young as five or well into their seventies.
Criminological Theory and Loss Prevention
This post is designed to provide a theoretical context for understanding the psychological and social forces that drive people to become criminals, how criminogenic opportunities can be reduced, as well as where analytics fits into loss prevention.
Integrating Analytics in Loss Prevention
The ability to assess patterns in data, measure loss prevention programs, and make decisions in real time is fundamental in solving complex issues related to customers, sales, and loss.
Experimental Design and Loss Prevention Programs
“Why do the iPads in the display area of the store continue to get stolen?” LP pros can conduct experiments to find out.