JINGJING ZHANG

Welcome!

I am a Professor of Information Systems, Judith Norman Davis and Kim G. Davis Professor of Business Analytics, and Associate Chair of the Department of Operations and Decision Technologies at the Kelley School of Business, Indiana University.

My research sits at the intersection of AI, data analytics, and human behavior, focusing on how algorithmic techniques from computer science and theories from social sciences can address emerging challenges in intelligent systems and personalization technologies. I investigate both the computational and behavioral aspects of these systems, exploring questions about algorithm stability, bias effects on user preferences, impacts of data characteristics on prediction performance, and the longitudinal dynamics of system performance. I employ diverse research approaches including experimental studies, computational modeling, and agent-based simulations to generate insights that are both theoretically rich and practically relevant. Through my research, I aim to develop more effective, fair, and transparent decision support technologies that better serve both users and organizations in an increasingly AI-driven world.

Over the years I have taught at Kelley across multiple programs: MSIS, undergraduate, Executive MBA, online MBA. My current focus is teaching AI to MBA students, specifically BUKD-X500, Agentic AI Systems, in the Kelley Direct online MBA program. The course is designed for the business leaders who will deploy, govern, direct AI agents inside real organizations, not the engineers who build the underlying models.

I also write at Signal & Noise, a working notebook of opinions, frameworks, analogies on agentic AI for non-technical audiences. The pieces there are mental models I use in my own teaching, refined for the questions business leaders actually ask. No how-to guides, no platform reviews, no model-of-the-week takes.