معرفی
Jingjing Zhang is a Professor and the Judith Norman Davis and Kim G. Davis Professor of Business Analytics at Indiana University's Kelley School of Business, where she serves as Associate Chairperson of the Operations and Decision Technologies Department in Bloomington.
Her academic credentials include:
- PhD, University of Minnesota, 2012
- MS, Temple University, 2007
Professor Zhang's research focuses on the intersection of artificial intelligence and business operations, particularly examining how algorithmic systems influence human decision-making in digital environments. Her work addresses critical challenges in personalization systems, including bias mitigation, performance stability, and user trust dynamics.
Her core research domains feature:
- Personalization and Recommender Systems
- Algorithm Bias and Fairness
- Human-AI Interaction Patterns
- AI Reliance in Consumer Contexts
- Algorithm Performance Metrics
- Emerging Digital Platform Economics
Recent publications (2022-2024) demonstrate a methodical progression from foundational recommender system mechanics toward nuanced investigations of longitudinal bias effects, error timing impacts, and hidden market-side consequences of algorithmic recommendations, primarily published in Information Systems Research and MIS Quarterly.
Her distinguished recognition includes:
- Trustees’ Teaching Award (2024)
- Women in RecSys Journal Paper of the Year (2023)
- ISR Best Published Paper Award (2021)
- ISS Sandra A. Slaughter Early Career Award (2020)
- ISS Nunamaker-Chen Dissertation Award (2013)
Professor Zhang maintains active editorial leadership as Associate Editor for Information Systems Research and Senior Editor for AIS Transactions on Replication Research, though student advising details were not specified in source materials.
No laboratory or research team affiliations were documented in the provided information.
