Sojung Yoon

Sojung Yoon is a final-year Ph.D. candidate in Information & Decision Sciences at the Carlson School of Management, University of Minnesota. Her research examines how artificial intelligence reconfigures work, with a particular focus on how AI transforms the organizational processes through which workers are hired, managed, and developed. Across her research, she investigates how firms’ adoption and use of AI reshape skill demand, worker behavior, and workplace relationships. She draws on a diverse methodological toolkit that includes randomized field experiments, econometrics, causal inference, machine learning, and large-scale textual analysis.

Her work has been presented at major conferences and workshops, including ICIS, CIST, WITS, the INFORMS Annual Meeting, and the POMS Annual Meeting. One of her papers was nominated for the Best Overall Paper Award at ICIS. She was also selected as an ICIS Doctoral Consortium Fellow and received the Carlson School of Management Doctoral Dissertation Fellowship, a selective award recognizing outstanding doctoral students.

In addition to her research, Sojung has served as an instructor for Descriptive and Predictive Analytics and was recognized with the Ph.D. Student Teaching Award. She also contributes to the academic community as a reviewer for Information Systems Research and Management Science. She has served as an organizer of the Carlson Ph.D. Student Brownbag Meeting, and a coordinator of MISQ Insider, an MISQ-affiliated student-led initiative.