Mendoza School of Business

Heng Xu

Professor
IT, Analytics, and Operations
  335 Mendoza College of Business
 ORCID
  • Biography
  • Background
  • Publications
  • Awards

Dr. Heng Xu is a Professor of Information Technology, Analytics, and Operations at the Mendoza College of Business, University of Notre Dame. She currently serves as Editor-in-Chief of the ACM Transactions on Management Information Systems. Her research focuses on data privacy, digital ethics, and fairness in machine learning, with interdisciplinary work published across information systems, computer science, law, and psychology.

She has received numerous prestigious awards for her scholarly contributions across multiple fields. These include the Jeanneret Award for Excellence in the Study of Individual or Group Assessment (Society for Industrial and Organizational Psychology), the Social Justice Best Paper Award (INFORMS Information Systems Society), the Davis-Dickson Impact Award (MIS Quarterly), the Stafford Beer Medal (Operational Research Society), and the NSF CAREER Award (National Science Foundation), among others.

She is passionate about advancing responsible AI and privacy-preserving technologies, and deeply committed to mentoring the next generation of scholars. Prior to joining Notre Dame, she held faculty appointments at Penn State, American University, and the University of Florida, and served as a Program Director at the National Science Foundation.

Dr. Xu has also contributed to several national leadership initiatives, including serving on the National Academies' Board on Human-Systems Integration (2024-present), co-chairing the Federal Privacy R&D Interagency Working Group (2016), and participating in the National Privacy Research Strategy Working Group (2014-2016).

Education
Ph D, School of Computing, National University of Singapore
BBA, School of Management, Shandong University, China

Areas of Expertise
Data Privacy
Digital Ethics
Responsible AI
Human-AI Collaboration

Editorial Boards
Section Editor
IEEE Security & Privacy
January 15, 2025

Journal Editor
ACM Transactions on Management Information Systems
June 1, 2024

"Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning", (With N. Zhang), Information Systems Research, 35, 2024

"Some thoughts on reviewing for information systems research and other leading information systems journals", (With S. Sarker, E.A. Whitley, K.Y Goh, Y. Hong, M. Mahring, P. Sanyal, N. Su, J.D. Xu, J. Zhang, H. Zhao), Information Systems Research, 34, 2023

"Reducing Subgroup Differences in Personnel Selection through the Application of Machine Learning", (With N. Zhang, M. Wang), Personnel Psycholoy, 76, 2023

"Disentangling Effect Size Heterogeneity in Meta-Analysis: A Latent Mixture Approach", (With N. Zhang, M. Wang), Psychological Methods, 27, 2022

"From Contextualizing to Context-Theorizing: Assessing Context Effects in Privacy Research", (With N. Zhang), Management Science, 68, 2022

"Implications of Data Anonymization on the Statistical Evidence of Disparity", (With N. Zhang), Management Science, 68, 2022

"Reflections on the 2021 Impact Award: Why Privacy Still Matters", (With T. Dinev), Management Information Systems Quarterly, 46, 2022

"Reconciling the Paradoxical Findings of Choice Overload through an Analytical Lens", (With N. Zhang), Management Information Systems Quarterly, 45, 2021

"Validity Concerns In Research Using Organic Data", (With N. Zhang, L. Zhou), Journal of Management, 46, 2020

"Privacy in Health Disparity Research", (With N. Zhang), Medical Care, 57, 2019

"Examining the intended and unintended consequences of organizational privacy safeguards enactment in healthcare: A grounded theory investigation", (With R. Parks, C-H. Chu, B.P. Lowry), European Journal of information systems, 26, 2017

"Privacy Concerns for Mobile App Download: An Elaboration Likelihood Model Perspective", (With J. Gu, Y. Xu, C. Zhang, H. Ling), Decision Support Systems, 94, 2017

"Measuring individuals' concerns over collective privacy on social networking sites", (With H. Jia), Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 10, 2016

"The boundaries between: Parental involvement in a teen's online world", (With L. Erickson, P. Wisniewski, M.B. Rosson, J.M. Carroll), Journal of the Association for Information Science and Technology, 67, 2016

"Designing for privacy management in hospitals: Understanding the gap between user activities and IT staff's understandings", (With E. Eikey, A. Murphy, M. Reddy), International Journal of Medical Informatics, 84, 2015

"Information Privacy and Correlates: An Empirical Attempt to Bridge and Distinguish Privacy-Related Concepts", (With T. Dinev, H.J. Smith, P. Hart), European Journal of Information Systems, 22, 2013

"Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services", (With H.H. Teo, B.C.Y. Tan, R. Agarwal), Information Systems Research, 23, 2012

"CoPE: Enabling Collaborative Privacy Management in Online Social Networks", (With C.A. Squicciarini, X. Zhang), Journal of the Association for Information Science and Technology, 62, 2011

"Information Privacy Concerns: Linking Individual Perceptions with Institutional Privacy Assurances", (With T. Dinev, H.J. Smith, P. Hart), Journal of the Association for Information Systems, 12, 2011

"Information Privacy Research: An Interdisciplinary Review", (With H.J. Smith, T. Dinev), Management Information Systems Quarterly, 35, 2011

Award
"Best Article Award Winner", Personnel Psychology, 2025

"Jeanneret Award for Excellence in the Study of Individual or Group Assessment", Society for Industrial and Organizational Psychology (SIOP), 2025

"Social Justice Best Paper Award", INFORMS Information Systems Society, 2024