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Image of  Zhiqiang  Zheng
 Contact InformationHelpHelp  
Zhiqiang Zheng
Office MailstopMail Box: SM33, Room No.: SOM3203 
Email Address    Primary Phone Number 972-883-5914    URL UTD Webpage    Media Contact
 Professional Preparation
 Ph.D.Operations and Information ManagementUniversity of Pennsylvania2003
 M.A.Operations and Information ManagementUniversity of Pennsylvania2001
 M.S.Industrial Management EngineeringShanghai Jiaotong University1996
 B.S.Management Information SystemsHarbin Institute of Technology1993
Collapse Section Expand Section Research and Expertise
Research Interests
  • Business Analytics (Theories, Methods and Applications)
    • Data Mining Methods (DEA for outlier detection, state-space imputation, generative text mining)
    • Healthcare analytics (hospital capacity optimization, patient life time expense, clinic waste reduction)
    • Social Media Analytics (text analytics, signed social network analysis, crowdsourcing)
    • Financial analytics (high-frequency trading, streaming data analytics)
  • Information Technology Innovation, Diffusion and Standardization
  • Quantitative analysis for Operations, Marketing and Finance (Inventory optimization under subscription-based service, sponsored search auction, social gaming product diffusion, computational econometrics analysis for strategic traders)
Collapse Section Expand Section Publications
 1  2 3  
  YearPublication  Type
“Are new IT-enabled investment opportunities diminishing for firms", Dos-Santos, B., Zheng, Z., Mookerjee, V., Chen, H. Forthcoming in Information Systems research.
“From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data", Zheng, Z., Fader, P., Padmanabhan, B. Forthcoming in Information Systems research.
“DEA-based hypothesis tests for comparing two groups of decision making units”, Banker, R., Zheng, Z., Natarajan, R. European Journal of Operational Research. 206, 2010, pp. 231-238.,
Toward a Causal Interpretation from Observational Data: A New Bayesian Networks Method for Structural Models with Latent Variables. With P. Pavlou. Information Systems Research. Forthcoming.
Category: Information Systems Research
Peer reviewed
A Model of Search Intermediaries and Paid Referrals. With T. Weber. Information Systems Research. 18.4. (2007): 414-436.
Category: Information Systems Research
Peer reviewed
Collapse Section Expand Section Presentations and Projects
Start DateEnd DatePresentation/Project
2007 2007 Mining Movie Blog Data for Box office prediction
Zheng, Z., Yu, W. INFORMS Annual Meeting 2007, Seattle.
2006 2006 Inferring firms' competitive measures from aggregated data
Zheng, Z., Padmanabhan, B., Fader, P. presented at the Frank Bass Conference at UTD in March 2007 and the INFORMS Conference 2006 at Pittsburg.
2005 2005 A Bayesian Network Method for Inferring Causality from Data
Zheng, Z. and Pavlou, P. IFORS Conference, Hawaii, 2005.
2002 2002 Evolutionary Origin of Trust: A Learning Perspective
Fang, C., S. Kimbrough, A. Valluri, Z. Zheng, Academy of Management Conference 2002 (AOM02), Denver.
2002 2002 A Model of Search Intermediaries and Paid Referrals
Weber, T., Z. Zheng Workshop on Information Systems and Economics (WISE 2002), Barcelona, Spain.
Collapse Section Expand Section Appointments
DurationRankDepartment / SchoolCollege / OfficeUniversity / Company
2006-PresentAssociate professorSchool of Management University of Texas at Dallas
2003-2006Assistant professorGary Anderson School of Management University of California, Riverside
2000-2000E-Business consultante-commerce development department Jupiter Media Metrix
1995-1997Marketing supervisor  EPSON Shanghai Co. Ltd, Shanghai, China
       Teaching HelpHelp  
 Additional Information
Teaching Experience

Teaching Records at Wharton and UCR

  • “Database Management System”, MBA core, Fall 2003. (Evaluation: 6.4 out of 7.0.)
  • “Systems Analysis and Design”, MBA elective, Spring 2004. (6.6/7.0)  
  • “Systems Analysis and Design”, Undergraduate elective. Spring 2004.  (5.4/7.0)
  • “Introduction to Database”, Undergraduate elective. Fall 2004.  (5.8/7.0)
  • “Introduction to data Mining”, Undergraduate elective. Fall 2004 & Spring 2005 (5.5/7.0)
  • “E-commerce Systems”, Undergraduate elective, Fall 2005. (5.4/7.0)
  • “Data Mining for Business”, MBA elective, Spring and Fall 2005. (6.6 /7.0)
  • “Introduction to MIS”, Undergraduate core, Winter 2006 (5.2/7.0)
  • “Management Information Systems”, MBA core, Winter 2006 (6.6/7.0).

Teaching Records at UTD

  • “Introduction to MIS”, BA3351-004, Undergraduate core, Spring 2007. (3.8/5.0).
  • “Introduction to MIS”, BA3351-501, Undergraduate core, Spring 2007. (3.6/5.0).
  • “Business Intelligence”, MIS6324, Graduate Elective, Summer 2007. (4.6/5)
  • “Business Intelligence”, MIS6324, Graduate Elective, Spring 2008. (4.6/5)

Most Recent Editorial Services
  • CIST 2008 Program Committee                                             PC Member                 2008
  • ICIS 2007 Track “Web-Based Information Systems”           AE                               2007
  • Third Workshop on Sponsored Search Auctions                    AE                               2007
  • International Journal of Electronic Commerce                       AE                    Since 2006
  • Information Technology Management                       Ad-hoc AE, reviewer        Regularly*
  • MIS Quarterly                                                                        Reviewer           2007, 2008
  • Information Systems Research                                               Reviewer              Regularly
  • Management Science                                                              Reviewer              Regularly
  • INFORMS Journal on Computing                                         Reviewer              Regularly
  • Decision Support Systems                                                      Reviewer              Regularly
  • IEEE Transaction (TKDE)                                                     Reviewer                     2008
  • * Regularly >4 papers/year

  • Computer Languages: Python, Visual Basic, Perl, SQL, Java, C/ C++.
  • Statistics Analysis Packages: SAS, SPSS, Jump-In, S-Plus
  • Business Intelligence/Data Mining Packages:  Clementine, CART, Gainsmarts, SAS Enterprise Miner, WEKA, SQL Server 2008, XLMiner, Crystal Report
  • Special Packages: Brio/ Oracle, SAP ERP, UCNet, UML, Business Objects, ESRI (GIS), Crystal Ball.

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