Paul Hu

David Eccles Chair Professor

Department of Operations and Information Systems

Faculty, Tenure Track

Paul J. Hu is David Eccles Chair Professor in the Department of Operations and Information Systems. His current research interests include technology management in organizations, information technology in health care, technology implementation and evaluation, business analytics, digital transformation, and technology-empowered innovation and learning.

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Education
  • 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 25 (2020, Google Scholar), https://proxy.qualtrics.com/proxy/?url=https%3A%2F%2Feller.arizona.edu%2Fsites%2Fdefault%2Ffiles%2FAIL-H-Index_MIS_May2020.pdf&token=NKZQF8OKJ8ftCUw6yo7rux17ckyyHrolMqvX%2BTaBrRs%3D.
  • 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.
Teaching
  • 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)
Publications
  • 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 (forthcoming 2021).
  • Y. Gao, X. Fang, and P. J. Hu, “A Prescriptive Analytics Method for Cost Reduction in Clinical Decision Making,” Management Information Systems Quarterly (forthcoming, March 2021).
  • D. Xu, Q. Sheng, P. J. Hu, T. Huang, W. Lee, “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 (forthcoming 2021).
  • Y. Lee, P. J. Hu, H. Zhu, and H. Chen, “Discovering Event Episodes from Sequences of Online News Articles: A Time-Adjoining Frequent Itemset-Based Clustering Method,” Information and Management, Vol.57, No.7, Article 103348, November 2020, pp. 1–13.
  • 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, November 2020, pp. 1–19.
  • 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. Sykes, F. Chan, J. Thong, and P. J. Hu, “Children’s Internet Addiction, Family-to-Work Conflict, and Job Outcomes: A Study of Parent–Child Dyads,” Management Information Systems Quarterly, Vol.43, No.3, 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.
  • Y. Lee, P. J. Hu, and C. Tu, “Ontology-Based Mapping for Automated Document Management: A Concept-based Technique for Word Mismatch and Ambiguity Problems in Document Clustering,” ACM Transactions on Management Information Systems, Vol.6, No.1, pp. 4-1 – 4-22, 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.
  • P. J. Hu, S. Al-Gahtani, and H. Hu, “Arabian Workers’ Acceptance of Computer Technology: A Model Comparison Perspective,” Journal of Global Information Management, Vol.22, No.2, pp.1-22, 2014
  • Y. Dang, Y. Zhang, P. J. Hu, S. Brown, Y. Ku, J. Wang, and H. Chen, “An Integrated Framework for Analyzing Multilingual Content in Web 2.0 Social Media,” Decision Support Systems, Vol.61, pp.126-135, 2014.
  • H. Hu, S. Al-Gahtani, and P. J. Hu, “Examining the Moderating Role of Gender in Arabian Workers’ Acceptance of Computer Technology”, Communications of the Association for Information Systems, Vol.33, Article 4, 2013.
  • E. Wang, H. Hu, and P. J. Hu, “Examining the Role of Information Technology in Cultivating Firms’ Dynamic Marketing Capabilities,” Information and Management, Vol.50, pp. 336-343, 2013.
  • Y. Lee, P. J. Hu, T. Cheng, T. Huang, and W. Chuang, “A Preclustering-Based Ensemble Learning Technique for Acute Appendicitis Diagnoses,” Artificial Intelligence in Medicine, Vol.58, No.2, pp. 115-124, 2013.
  • F. Xiao, P. J. Hu, L. Li, and W. Tsai, “Predicting Adoption Probabilities in Social Networks,” Information Systems Research, Vol.24, No.1, pp. 128-145, 2013.
  • X. Fang, P. J. Hu, M. Chau, H. Hu, Z. Yang, and O. Liu Sheng, “A Data-Driven Approach to Measure Web Site Navigability,” Journal of Management Information Systems, Vol. 29, No.2, pp. 173-212, 2012.
  • Y. Dang, Y. Zhang, H. Chen, S. Brown, P. J. Hu, and J. Nunamaker, “Theory-Informed Design and Evaluation of An Advanced Search and Knowledge Mapping System in Nanotechnology,” Journal of Management Information Systems, Vol.28, No.3, pp. 101-129, 2012.
  • P. J. Hu, and W. Hui, “Examining the Role of Learning Engagement in Technology-Mediated Learning and Effects on Learning Effectiveness and Satisfaction,” Decision Support Systems, Vol. 53, No.4, pp. 782-792, 2012.
  • Y. Lee, P. J. Hu, T. Cheng, and Y. Hsieh, “Positive-Example Learning for Content-Based Product Recommendations: A Cost-Sensitive Learning Technique,” Decision Support Systems, Vol.53, No.1, pp. 245-256, 2012.
  • Y. Chen, S. Brown, P. J. Hu, C. King, and H. Chen, “Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management through the Lens of Loose Coupling,” Information Systems Research, Vol.22, pp. 447-468, 2011.
  • Y. Lee, C. Wei, and P. J. Hu, “An Ontology-based Technique for Preserving User Preferences in Document-Category Evolutions,” Journal of the American Society for Information Science and Technology, Vol.62, No.3, pp. 507-520, 2011.
  • R. M. Cornell, M. Eining, and P. J. Hu, “the Effects of Process Accountability on Individuals’ Use of a Familiar Technology,” Journal of Information Systems (AAA), Vol.25, No.1, pp. 109-128, 2011.
  • P. J. Hu, and H. Chen, “Analyzing Information Systems Researchers’s Productivity and Impacts: A Perspective on the H index,” ACM Transactions on Management Information Systems; Vol.2, No.2, Article 7, 2011.
  • S. Kaza, P. J. Hu, H. Hu, and H. Chen, “Designing, Implementing, and Evaluating Information Systems for Law Enforcement: A Long-Term Design-Science Research Project,” Communications of the AIS, Vol.29, Article 28, 2011.
  • F. Chan, J. Thong, V. Venkatesh, S. Brown, and P. J. Hu, “Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology,” Journal of the Association for Information Systems, Vol.11, Issue 10, 2010, Article 2 (available at: http://aisel.aisnet.org/jais/vol11/iss10/2).
  • P. J. Hu, F. Hsu, H. Hu, and H. Chen, “Agency Satisfaction with Electronic Record Management Systems: A Large-Scale Survey Study,” Journal of the American Society for Information Science and Technology, Vol.61, No.12, 2010, pp.2559-2574.
  • L. Lin, P. J. Hu, O. Liu Sheng, and J. Lee, “Is Stickiness Profitable for Electronic Retailers? An Analysis of Within-Session Visiting Behaviors,” Communications of the ACM, Vol.53, No.3, 2010, pp. 132-136.
  • X. Ding, P. J. Hu, R. Verma, and D. Wardell, “The Impact of Service System Design and Flow Experience on Customer Satisfaction in Online Financial Services,” Journal of Service Research, Vol.13 No.1, 2010, pp. 96-110.
  • T. Cheng and P. J. Hu, “A Data-Driven Approach to Manage the Length of Stay for Appendectomy Patients,” IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, Vol.39, No.6, 2009, pp. 1339-1347.
  • P. J. Hu, H. Hu E. Chu, and F. Hsu, “E-Government 2.0 in Asia: Trends, Opportunities and Challenges,” IEEE Intelligent Systems, Vol. 24, No.5, 2009, pp. 82-86.
  • C. Wei, P. J. Hu, and Y. Lee, “Preserving User Preferences in Automated Document-Category Management: An Evolution-Based Approach,” Journal of Management Information Systems, Vol.25, No.4, 2009, pp.109-143.
  • P. J. Hu, S. Brown, J. Thong, F. Chan, and K.Y. Tam, “Determinants of Service Quality and Continuance Intention of Online Services: The Case of eTax,” Journal of the American Society for Information Science and Technology, Vol.60, No.2, 2009, pp. 292-306.
  • 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 (forthcoming 2021).
  • Y. Gao, X. Fang, and P. J. Hu, “A Prescriptive Analytics Method for Cost Reduction in Clinical Decision Making,” Management Information Systems Quarterly (forthcoming, March 2021).
  • D. Xu, Q. Sheng, P. J. Hu, T. Huang, W. Lee, “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 (forthcoming 2021).
  • Y. Lee, P. J. Hu, H. Zhu, and H. Chen, “Discovering Event Episodes from Sequences of Online News Articles: A Time-Adjoining Frequent Itemset-Based Clustering Method,” Information and Management, Vol.57, No.7, Article 103348, November 2020, pp. 1–13.
  • 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, November 2020, pp. 1–19.
  • 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. Sykes, F. Chan, J. Thong, and P. J. Hu, “Children’s Internet Addiction, Family-to-Work Conflict, and Job Outcomes: A Study of Parent–Child Dyads,” Management Information Systems Quarterly, Vol.43, No.3, 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.
  •  Y. Lee, P. J. Hu, and C. Tu, “Ontology-Based Mapping for Automated Document Management: A Concept-based Technique for Word Mismatch and Ambiguity Problems in Document Clustering,” ACM Transactions on Management Information Systems, Vol.6, No.1, pp. 4-1– 4-22, 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.
  • Y. Dang, Y. Zhang, P. J. Hu, S. Brown, Y. Ku, J. Wang, and H. Chen, “An Integrated Framework for Analyzing Multilingual Content in Web 2.0 Social Media,” Decision Support Systems, Vol.61, pp.126–135, 2014.
  • Y. Lee, P. J. Hu, T. Cheng, T. Huang, and W. Chuang, “A Preclustering-Based Ensemble Learning Technique for Acute Appendicitis Diagnoses,” Artificial Intelligence in Medicine, Vol.58, No.2, pp. 115–124, 2013.
  • X. Fang, P. J. Hu, L. Li, and W. Tsai, “Predicting Adoption Probabilities in Social Networks,” Information Systems Research, Vol.24, No.1, pp. 128–145, 2013.
  • X. Fang, P. J. Hu, M. Chau, H. Hu, Z. Yang, and O. Liu Sheng, “A Data-Driven Approach to Measure Web Site Navigability,” Journal of Management Information Systems, Vol. 29, No.2, pp. 173–212, 2012.
  • Y. Dang, Y. Zhang, H. Chen, S. Brown, P. J. Hu, and J. Nunamaker, “Theory-Informed Design and Evaluation of An Advanced Search and Knowledge Mapping System in Nanotechnology,” Journal of Management Information Systems, Vol.28, No.3, pp. 101–129, 2012.
  • P. J. Hu, and W. Hui, “Examining the Role of Learning Engagement in Technology-Mediated Learning and Effects on Learning Effectiveness and Satisfaction,” Decision Support Systems, Vol. 53, No.4, pp. 782–792, 2012.
  • Y. Lee, P. J. Hu, T. Cheng, and Y. Hsieh, “Positive-Example Learning for Content-Based Product Recommendations: A Cost-Sensitive Learning Technique,” Decision Support Systems, Vol.53, No.1, pp. 245–256, 2012.
  • Y. Lee, C. Wei, and P. J. Hu, “An Ontology-based Technique for Preserving User Preferences in Document-Category Evolutions,” Journal of the American Society for Information Science and Technology, Vol.62, No.3, pp. 507–520, 2011.
  • R. M. Cornell, M. Eining, and P. J. Hu, “The Effects of Process Accountability on Individuals’ Use of a Familiar Technology,” Journal of Information Systems (AAA), Vol.25, No.1, pp. 109–128, 2011.
  • Y. Dang, Y. Zhang, P. J. Hu, S. Brown, and H. Chen, “Knowledge Mapping for Rapidly Evolving Domains: A Design Science Approach,” Decision Support Systems, Vol.50, No.2, January 2011, pp.415–427.
  • Y. Chen, S. Brown, P. J. Hu, C. King, and H. Chen, “Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management through the Lens of Loose Coupling,” Information Systems Research, Vol.22, pp. 447–468, 2011.
Presentations
  • A. Xu, B. Wen, P. J. Hu, and T. Huang, “A Double-Layer Interactive Recurrent Neural Network Method to Predict Hepatocellular Carcinoma Patient’s Survivability,” The Annual Americas Conference on Information Systems 2020, Salt Lake City, Utah; August 2020.
  • Q. Sheng, P. J. Hu, and M. Han, “Fan Up the Flames: Mining Aggregation Patterns of Cyber Political Trolls and Predict Information Cascade through Dynamic Rewiring Mechanism,” The Annual Americas Conference on Information Systems 2020, Salt Lake City, Utah; August 2020.
  • A. Xu, X. Liu, and P. J. Hu, “Examining Effects of Fit between Patient Need and Social Support: A Deep Learning Based Multi-Label Classification Approach.” International Conference on Information Systems (ICIS) 2019, Munich Germany.
  • Q. Sheng, X. Liu, and P. J. Hu, “Extracting User Interest Drifts in Social Networks for Time-Aware Personalized Recommendation: A Graphic Knowledge Representation Learning Approach,” Workshop on Information Technology and Systems (WITS) 2019, Munich Germany.
  • D. Xu, Q. Sheng, P. J. Hu, and X. Fang, “Reconstructing User Mobility Profile from Online Social Network Data to Support Location-Aware Services,” INFORMS Workshop on Data Science, October 2019, Seattle Washington (USA).
  • J. Yu and P. J. Hu, “An Attitudinal Ambivalence Approach to Examine Inconsistent Effects of Privacy Concerns,” International Conference on Information Systems (ICIS); San Francisco; December 13 – 16, 2018.
  • Y. Gao and P. J. Hu, “Examining Customer Rating Differences of Chain Restaurants: An Aspect-Based Sentiment Analysis,” International Conference on Information Systems (ICIS); San Francisco; December 13 – 16, 2018.
  • D. Xu, X. Fang and P. J. Hu, “I Know Where You Are: A Deep Learning Approach to Predict Location for Personalized Mobile Targeting,” Workshop on Information Technologies and Systems (WITS); Santa Clara, California; December 16 – 18, 2018.
  • B. Wen, P. J. Hu, and J. Yu, “Friend or Foe: Examining the Mediating Role of Moral Disengagement in the Effects of Envy on Cyberbullying in Social Network Sites,” Workshop on e-Business (WeB); Santa Clara, California; December 12, 2018. (Best Paper Nominee)
  • Q. Sheng, X. Liu, P. J. Hu, and T. Huang, “Predictive Analytics for Acute Illness Care: A Deep Learning Approach for Complication Phenotype Prediction,” INFORMS Workshop on Data Science; Phoenix, Arizona; November 3, 2018.
  • 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” INFORMS Annual Meeting; Phoenix, Arizona; November 4 – 7, 2018.
  • J. Yu, & P. J. Hu. (2014) Examining Formation Process and Antecedents of Online Privacy Concerns. Conference Paper, Refereed, Presented, 11/2014.
  • J. Yu, & P. J. Hu, and T. Cheng. (2012) Examining Self-Disclosures on Social Network Sites, Workshop on eBusiness. Conference Paper, Refereed, Presented, 12/2012.
  • H. Hu, & W.L. Moore, and P.J. Hu. (2012) Incorporating User Perceptions and Product Attributes in Software Product Design and Evaluation, ICIS. Conference Paper, Refereed, Presented, 12/2012.
  • P. J. Hu, & X. Wan, Y. Dang, C.A. Larson, and H. Chen. (2012) Evaluating An Integrated Forum Portal for Terrorist Surveillance and Analysis, IEEE International Conference on Intelligence and Security Informatics. Conference Paper, Refereed, Presented, 06/2012.
  • Y. Lee, & P. J. Hu, T. Chu, T. Cheng, and H. Chen. (2011) A Temporal Frequent Itemset-based Clustering Approach for Discovering Event Episodes from News Sequence, PACIS. Conference Paper, Refereed, Presented, 07/2011.
  • H. Hu, & Al-Gahtani, and P. J. Hu. (2010) Examining Gender Effects in Technology Acceptance by Arabian Workers: A Survey Study (PACIS). Conference Paper, Refereed, Presented, 07/2010.
  • P. J. Hu, & W. Hui. (2010) Examining Effects of Technology-Assisted Learning on Learning Effectiveness and Satisfaction: A quasi-Experimental Study (PACIS). Conference Paper, Refereed, Presented, 07/2010.
  • Y. Lee, & P. J. Hu, W. Chuang, T. Cheng and Y. Ku. (2010) Supporting Acute Appendicitis Diagnosis: A Pre-Clustering-Based Classification Technique (PACIS). Conference Paper, Refereed, Presented, 07/2010.
  • Y. Lee, & P. J. Hu, T. Cheng, and Y. Cheng. (2009) Positive Example Learning for Content-Based Recommendations: A Cost-Sensitive Learning Approach (ICIS). Conference Paper, Refereed, Other, 12/2009.
  • P. Ward, & P. J. Hu, and C. Wei. (2009) Sacrificing the Holy Cows: A Firm-Level Study of Using Willingness-to-Cannibalize to Drive Innovative Software Project Management (IRWITPM 2009). Conference Paper, Refereed, Presented, 12/2009.
  • Hu, P., & E. Wang, H. Hu, and P.J. Hu. (2009). Examining the Role of Information Technology in Ciltivating Firms’ Dynamic Marketing Capabilities. ICEB 2009. Conference Paper, Other, 11/2009.
  • Hu, P., & P. J. Hu, H. Chen, and H. Hu. (2009). Law Enforcement Officers’ Acceptance of Advanced E-Government Technology: A Survey Study of COPLINK Mobile. ICEC 2009. Conference Paper, Other, 08/2009.
  • Hu, P., & C. Lan, Y. Lee, T. Cheng, C. Wei, and P. J. Hu. (2009). Overcoming Small-sized Training Set Problem in Content-based Recommendation: A Collaborative-based Training Expansion Approach. ICEC 2009. Conference Paper, Other, 08/2009.
  • Hu, P., & F. Hsu, P. J. Hu. H. Chen, and C. Yu. (2009). The Strategic Co-Alignment for Implementing Information Systems in E-Government. PACIS 2009. Conference Paper, Other, 07/2009.
  • Hu, P., & F. Hsu, P. J. Hu, H. Chen, and H. Hu. (2008). Examining Agencies’ Satisfaction with Electronic Record Management Systems in e-Government: A Large Scale Survey Study. the 7th Workshop on E-Business. Conference Paper, Other, 12/2008.
  • Hu, P., & W. Hui and P.J. Hu. (2008). Examining End-User Information Security Compliance: An Exploratory Study. the 7th Workshop on E-Business. Conference Paper, Other, 12/2008.
  • Hu, P., & T. Cheng, and P. J. Hu. (2007). Content-based Recommendations Using Positive-Only Examples: A Single-Class Learning Approach. Workshop on e-Business. Conference Paper, Other, 12/2007.
  • Hu, P., & M. Chau, P. Chau, and P. J. Hu. (2007). Incorporating Hyperlink Analysis in Web Page Clustering. Workshop on e-Business. Conference Paper, Other, 12/2007.
  • Hu, P., & C. Yu, and P. J. Hu. (2007). Rethinking the Relationship between Ubiquitous Government and Electronic Government. 11th Pacific Asia Conference on Information Systems. Conference Paper, Other, 07/2007.
  • Hu, P., & P. J. Hu, D. Zeng, H. Chen, C.A. Larson, and C. Tseng. (2007). A Web-based System for Infectious Disease Data Integration and Sharing: Evaluating Outcome, Task Performance Efficiency, User Information Satisfaction, and Usability. NSF BioSurveillance Workshop. Conference Paper, Other, 05/2007.
  • Hu, P., & C. Yu, and P. J. Hu. (2007). Examining the Impacts of Institutional Framework on E-Government Infrastructures: A Study of Hong Kong Experiences. 40th Hawaii International Conference on System Science. Conference Paper, Other, 01/2007.
  • Hu, P., & X. Fang, M. Chau, P.J. Hu, Z. Yang, and O. Liu Sheng. (2006). Web Mining–Based Objective Metrics for Measuring Website Navigability. International Conference on Information Systems (ICIS 2006). Conference Paper, Other, 12/2006.
  • Hu, P., & F. Hsu, P. J. Hu, and H. Chen. (2006). Examining the Business Technology Alignment in Government Agencies: A Study of Electronic Record Management System in Taiwan. Pacific Asia Conference on Information Systems (PACIS 2006). Conference Paper, Other, 07/2006.
  • Hu, P., & P. Chau, P. J. Hu, B. Lee, and R. Ng. (2006). Consumers’ Trust in Online Vendors and Their Drop-out Decisions: A Cross-Country Study. Pacific Asia Conference on Information Systems (PACIS 2006). Conference Paper, Other, 07/2006.
  • Hu, P., & P. J. Hu, D. Cui, and A. Sherwood. (2006). Examining Cross-Agency Collaborations in E-Government Initiatives. the 39th Hawaii International Conference on System Science. Conference Paper, Other, 01/2006.
Service
  • 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.