Paul Hu

E.R. Dumke Jr. Presidential Endowed Chair in Business; Assistant Dean, Programs in Asia

Department of Operations and Information Systems

Faculty, Tenure Track

Paul J. Hu is E.R. Dumke Jr. Presidential Endowed Chair Professor in the Department of Operations and Information Systems. His current research interests include 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.

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  • Bachelor of Science 1987, Chemical Engineering, National Taiwan University of Science and Technology
  • Master of Science 1992, Management Information Systems, University of Arizona
  • Ph.D. 1998, Management Information Systems, University of Arizona
Honors & Awards
  • A paper, “Information technology acceptance by individual professionals: A model comparison approach,” the #9 most cited paper in the 50-year history of Decision Sciences, November 2020.
  • Among Information Systems researchers with an h-index higher than 30 (March 2022, Google Scholar),
  • Celebrate U: Extraordinary Faculty Achievement; University of Utah; April 5, 2017.
  • INFORMS Information Systems Society “Design Science Award” (2016); with Xiao Fang, Olivia Sheng, Lionel Li and Xue Bai; December 2016.
  • Faculty Research Award, David Eccles School of Business, University of Utah, 2016.
  • David Eccles Chair Professor, University of Utah, July 2015 – Present.
  • CIF21 DIBBs: DIBBs for Intelligence and Security Informatics Research and Community (NSF 1443019); $1,499,531, University of Arizona; $60,008 subcontracted to the University of Utah; October 2014 – September 2017.
  •  Have three papers in the top 10 most cited health information technology papers published in information system journals (1985 – 2011), according to Web of Science citation count, ” Romanow et al. 2012, MIS Quarterly, 36(3).
  • Among the most productive IS authors identified in “Analyzing Information Systems Researchers’ Productivity and Impacts: A Perspective on the H Index,” ACM Transactions on Management Information Systems, June 2011.
  •  National Center of Excellence for Infectious Disease Informatics, NSF IRA (IIS 0428241), $75,000 (Y413911, MIS Department, University of Arizona), total funding $1,250,016, 2005-2009.
  • Among the most prolific IS researchers (1999-2013), Li et al. (2013), Research Policy.
  • Among the top IS researchers of the Pacific Asia Conference on Information Systems (1993 – 2008), identified in “A Social Network Analysis of the Co-authorships Network of the Pacific Asia Conference on Information Systems From 1993 to 2008.”
  • Among the “Top 50” most productive IS authors globally (1999-2003), as identified in “Analyzing IS Research Productivity: An Inclusive Approach to Global IS Scholarship,” European Journal of Information Systems, Vol.16, 2007, pp.36-53.
  • IS 6010 Information Technology for Organization Competitiveness
  • IS 7412 Empirical Information Systems Research Methods (PhD)
  • IS 7910 Special Study (PhD)
  • IS 7970 Thesis Research (PhD)

• P. Zhao, S. Li, P. J. Hu, C. Gu, Z. Cao, and Y. Xian, “Water-Energy-Carbon Nexus Management for Urban Areas with Ambiguous Moment-Dependent Informatics,” IEEE Transactions on Power Systems (forthcoming).

• P. Zhao, S. Li, P. J. Hu, Z. Cao, C. Gu, D. Xie, and D. Zeng, “Cyber Security Enhancement for Grid-Transportation Systems with Social Engagement,” IEEE Transactions on Emerging Topics in Computational Intelligence (forthcoming).

• P. Zhao, S. Li, P. J. Hu, C. Gu, Z. Cao, T. Luo, D. Xie, Y. Xiang, and D. Zeng, “Blockchain-Based Water-Energy Transactive Management with Spatial-Temporal Uncertainties,” IEEE Transactions on Smart Grid , Vol.14, No. 4, pp. 2903 – 2920, July 2023.

• D. Xu, P. J. Hu, and X. Fang, “A Deep Learning-based Imputation Method to Enhance Crowdsourced Data on Online Business Directory Platforms for Improved Services,” Journal of Management Information Systems, Vol.40, No.2, pp. 624–654, June 2023.

 • Z. Wu, D. Xu, P. J. Hu, and T. Huang, “A Hierarchical Multilabel Graph Attention Network Method to Predict the Deterioration Paths of Chronic Hepatitis B Patients,” Journal of the American Medical Informatics Association, Vol.30, No.5, pp. 846–858, May 2023.

 • L. Liu, Z. Cao, P. Zhao, P. J. Hu, Y. Wang, D. Zeng, Q. Zhang, and Yin Luo, “A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media,” IEEE Transactions on Computational Social Systems, Vol.10, No.1, February 2023, pp. 246–254.

• X. Fang, Y. Gao, and P. J. Hu, “A Prescriptive Analytics Method for Cost Reduction in Clinical Decision Making,” Management Information Systems Quarterly, Vol.45, No.1, pp. 83-115, March 2021.

• D. Xu, Q. Sheng, P. J. Hu, T. Huang, C. Hsu, “A Deep Learning–Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients,” IEEE Journal of Biomedical and Health Informatics, Vo.25, No.6, pp. 2260–2272, June 2021.

 • Q. Sheng, P. J. Hu, X. Liu, T. Huang, and Y. Chen, “Predictive Analytics for Caring and Managing Acute Disease Patients: A Deep Learning–Based Method to Predict Crucial Complications Phenotypes,” Journal of Medical Internet Research, Vol.23, No.2, e18372, February 2021.

• D. Xu, P. J. Hu, T. Huang, X. Fang, and C. Hsu, “A Deep Learning–Based, Unsupervised Method to Impute Missing Values in Electronic Health Records for Improved Patient Management,” Journal of Biomedical Informatics, Vol.111, Article 103576, pp. 1–19, November 2020.

 • D. Xu, Q. Sheng, P. J. Hu, T. Huang, and W. Lee, “Predicting Hepatocellular Carcinoma Recurrences: A Data-Driven Multiclass Classification Method Incorporating Latent Variables,” Journal of Biomedical Informatics, Vol.96, August 2019. 

 •  V. Venkatesh, T. Skyes, F. Chan, J. Thong, and P. J. Hu, “Children’s Internet Addition, Family-to-Work Conflict, and Job Outcomes,” Management Information Systems Quarterly, Vol.43, No.2, pp. 903 – 927, 2019.

• X. Fang and P. J. Hu, “Top Persuader Prediction for Social Networks,” Management Information Systems Quarterly, Vol. 42, No.1, pp. 63–82, 2018.

• P. J. Hu, H. Hu, and X. Fang, “Examining the Mediating Roles of Cognitive Load and Performance Outcomes in User Satisfaction with a Website: A Field Quasi-Experiment,” Management Information Systems Quarterly, Vol.41, No.3, pp.975–988, 2017.

• Y. Gao, A. Xu, P. J. Hu, and T. Cheng, “Incorporating Association Rule Networks in Feature Category-Weighted Naive Bayes Model to Support Weaning Decision Making,” Decision Support Systems, Vol.96, pp.27–38, 2017.

• P. J. Hu, H. Hu, C. Wei, and P. Hsu, “Examining Firms’ Green Information Technology Practices: A Hierarchical View of Key Drivers and Their Effects,” Journal of Management Information Systems, Vol.33, No.4, pp.1149–1179, 2016.

• V. Venkatesh, J. Thong, F. Chan, and P. J. Hu, “Managing Citizens’ Uncertainty in E-government Services: The Mediating and Moderating Roles of Transparency and Trust,” Information Systems Research, Vol.27, No.1, pp. 87–111, 2016.

• H. Yen, P. J. Hu, S. Hsu, and E. Li, “A Multilevel Approach to Examine Employees’ Loyal Use of ERP Systems in Organizations,” Journal of Management Information Systems, Vol.32, No.4, pp. 144–178, 2015.

• J. Yu, P. J. Hu, and T. Cheng, “Role of Affect in Self-Disclosure on Social Network Websites: A Test of Two Competing Models,” Journal of Management Information Systems, Vol.32, No.2, pp. 239–277, 2015.

• P. Hsu, P. J. Hu, C. Wei, and J. Huang, “Green Purchasing by MNC Subsidiaries: The Role of Local Tailoring in the Presence of Institutional Duality,” Decision Sciences, Vol.45, No.4, pp.647–682, 2014.


• B. Wen, P. J. Hu, and A. Xu, “Examining Effects of Badge Repeatability and Level on Users’ Knowledge Sharing in Online Q&A Communities,” HICSS 56, January 2023 (Best Paper Nomination, Collaboration Systems and Technologies Track).

• Z. Wu, D. Xu, P. J. Hu, and T. Huang, “A Multilabel Graph Attention-based Method to Predict Deterioration Paths for Chronic Hepatitis B Patients,” INFORMS Workshop on Data Science, 2022.

• Y. Qin, P. J. Hu, and O. Sheng, “A Concept-Based Hierarchical Method for Cross-Document Modeling and Downstream Predictions,” INFORMS Annual Meeting, October 2022.

• J. Hsu, C. Chiu, K. Cheng, and P. J. Hu, “Understanding the Impact of Service Failure and Recovery Justice on Consumers’ Satisfaction and Repurchase Intention,” International Conference on Information Systems (ICIS), 2021, Austin Texas.

• A. Xu, B. Wen, and P. J. Hu, “Examining Effects of Constructive Versus Destructive Criticism on Knowledge Contribution Pattern in Online Knowledge Communities,” Workshop on Information Technology and Systems (WITS), 2021, Austin Texas.

• A. Xu, X. Liu, and P. J. Hu, “A Novel Deep Learning-Based Multilabel Classification Method for Text Mining,” INFORMS Workshop on Data Science, 2021.

  • Associate Editor, Journal of the AIS, January 2018 – Present.
  • Associate Editor, ACM Transactions on Management Information Systems, October 2013 – Present.
  • Associate Editor, Security Informatics Journal, 2010 – Present.
  • Associate Editor, International Journal of Health Information Systems and Informatics, January 2005 – Present.
  • Associate Editor, Management Information Systems Quarterly, January 2014 – December 2017.
  • Editorial Board Member, Information and Management, 2010 – 2015.