About
Paul J. Hu is the E.R. Dumke Jr. Presidential Endowed Chair in Business and Assistant Dean for Programs in Asia at the University of Utah's David Eccles School of Business, where he serves in the Department of Operations and Information Systems. He holds a PhD in Management Information Systems from the University of Arizona (1998), following a Master's degree in the same field (1992) and a Bachelor's in Chemical Engineering from National Taiwan University of Science and Technology (1987).
Dr. Hu's research spans information technology empowerment in health care, artificial intelligence, data-driven business analytics, technology implementation and management in organizations, digital transformation, and information technology-enriched learning and innovations. His work demonstrates exceptional impact, with multiple papers ranking among the most cited in information systems literature, including three papers in the top 10 most cited health IT papers published between 1985-2011.
His recent publications reveal a strong focus on applying deep learning and blockchain technologies to healthcare challenges, energy systems, and social media analysis. This research trajectory shows increasing sophistication in handling complex data environments while addressing critical societal challenges in healthcare and infrastructure management.
- #9 most cited paper in 50-year history of Decision Sciences (2020)
- INFORMS Information Systems Society Design Science Award (2016)
- Faculty Research Award, David Eccles School of Business (2016)
- Among top 50 most productive IS authors globally (1999-2003)
- Multiple recognition as among most productive/published IS researchers
Dr. Hu has secured significant research funding including an NSF CIF21 DIBBs grant ($1.5M) and contributed to the National Center of Excellence for Infectious Disease Informatics. He serves in editorial capacities for prestigious journals including Journal of the AIS and ACM Transactions on Management Information Systems, demonstrating his leadership in the academic community.
