Zhuojun Gu
PhD, Information and Decision Sciences, Carlson School of Management, University of Minnesota (Twin Cities), 2017
About
Faculty Expertise and Achievement
Dr. Zhuojun Gu is an Assistant Professor of Information Systems and Business Analytics at the Massry School of Business, University at Albany, SUNY. She earned her PhD in Information and Decision Sciences from the University of Minnesota, Twin Cities.
Dr. Gu’s research lies at the intersection of information systems, marketing and behavioral economics. Her work examines how technological and institutional environments shape decision-making in digital platforms and online marketplaces. Using econometric modeling, causal inference, analytical methods and randomized experiments, she studies consumer behavior, strategic interactions, platform design and the economic impact of digital technologies.
Her research has been published in leading academic journals, including Management Science. More recently, her research has expanded to the study of artificial intelligence and large language models, with a focus on decision consistency, preference formation and the evaluation of trustworthy AI systems.
Dr. Gu has taught a variety of courses in information systems at both undergraduate and graduate levels, including Python Programming, Database Management, Business Analytics, Data Visualization and Data Mining.
Research Interests
Dr. Gu’s research interests span digital platform design, online marketplaces, consumer behavior, behavioral economics, and strategic decision-making in technology-mediated environments. Her work applies econometric modeling, causal inference, and machine learning methods to understand how individuals and organizations make decisions under uncertainty and institutional constraints.
More recently, she has developed an interest in trustworthy artificial intelligence and large language models, examining how AI systems make decisions, express preferences, and respond to changing contexts. This emerging research stream seeks to better understand the behavioral foundations of reliable and trustworthy AI.
Research Websites
Teaching Interests and Areas
BITM 603 - Business Analytics and Data Mining
BITM 609 - Topics in Business Analytics and Text Mining
Professional Service
Journal reviewer, Information Systems Research
Journal reviewer, Production and Operations Management
Journal reviewer, Information and Management
Conference reviewer, Conference on Information Systems & Technology (CIST)
Conference reviewer, International Conference on Information Systems (ICIS)
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