ISOM Faculty Research

You can spend millions to buy a company for its employees, but how do you know they’ll stay put? Now, AI can predict post-deal turnover with a startling degree of accuracy. In a recently working paper, Jingyuan Yang, an information systems and operations management professor at the Costello College of Business at George Mason University, discovers how to efficiently predict employee turnover using an innovative AI-driven approach

Why the legal framework currently in play to protect our online data isn’t working—and how it might be improved. Brad Greenwood, an information systems professor at the Costello College of Business, researches breach notification laws.

Even famously neutral news organizations are not immune to the pressure to compete for clicks in the increasingly partisan online marketplace.

Despite the fears of regulators and skittish investors, clear and accurate signals of cryptocurrency quality may be hidden in plain sight.

Online technology has made real-time performance feedback a workplace reality. But a pair of Mason professors have found out about a major bias in the system.

School of Business professors Pallab Sanyal and Shun Ye explore the complex connections between managerial feedback and creative outcomes in new study.

In China, auto sales rose sharply when Uber came to town. That should make you re-examine received wisdom about the sharing economy.

Human trafficking is a global crisis of overwhelming scope. Fortunately, anti-trafficking organizations can use AI to predict the criminals’ next moves–with the help of a George Mason University professor.

Thanks to TikTok, Twitter, Instagram et al, we are living in the age of social influence. But how can influence be harnessed to make the world a better place? Yun Young Hur, assistant professor of information systems at George Mason University School of Business, explores that question in a recently published paper in Information Systems Research.

Mehmet Altug, an associate professor of operations management, has been researching retail returns policies for a decade. The issue has recently come to prominence, as the lenient policies of online retailers have led to skyrocketing return rates (now exceeding 20 percent in the U.S.). Altug’s various academic papers delve into the difficult trade-offs retailers face when setting returns policies. While there are no easy answers, Altug’s research identifies factors that can help retailers achieve more strategic flexibility.