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Zhiling Guo

Title: Professor

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Texas at Austin, 2005
    Major: Management Science & Information Systems

Current Scheduled Teaching

BUSI 6240.001Applied Multivariate StatisticsSpring 2025
BCIS 5150.402Leveraging Information Technology for BusinessSpring 8W2 2025
BCIS 5150.404Leveraging Information Technology for BusinessFall 8W2 2024
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching

BUSI 6240.001Applied Multivariate StatisticsSpring 2024 Syllabus SPOT
BCIS 5150.002Leveraging Information Technology for BusinessSpring 8W2 2024 SPOT
BCIS 5150.004Leveraging Information Technology for BusinessFall 8W2 2023 SPOT
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Intellectual Contributions

    Journal Article

  • Ang, G., Guo, Z., Lim, E. (2023). On Predicting ESG Ratings using Dynamic Company Networks. ACM Transactions on Management Information Systems. 14 (3) 1-34.
  • Guo, Z., Ma, D. (2023). Catching the Fast Payments Trend: Optimal Designs and Leadership Strategies of Retail Payment and Settlement Systems. MIS Quarterly. 47 (2) 669-704.
  • Guo, Z., Li, J., Ramesh, R. (2023). Green Data Analytics of Supercomputing from Massive Sensor Networks: Does Workload Distribution Matter?. Information Systems Research. 34 (4) 1664-1685.
  • Gao, Z., Guo, Z., Tang, Q. (2022). How do Monetary Incentives Influence Giving? An Empirical Investigation of Matching Subsidies on Kiva. Information Systems and e-Business Management. 20 303-324.
  • Chen, J., Guo, Z., Huang, J. (2022). An Economic Analysis of Rebates Conditional on Positive Reviews. Information Systems Research. 33 (1) 224-243.
  • Chen, J., Guo, Z. (2022). New-Media Advertising and Retail Platform Openness. MIS Quarterly. 46 (1) 431-456.
  • Guo, Z., Li, J., Ramesh, R. (2020). Scalable, Adaptable, and Fast Estimation of Transient Downtime in Virtual Infrastructures Using Convex Decomposition and Sample Path Randomization. INFORMS Journal on Computing. 32 (2) 321-345.
  • Guo, Z., Li, J., Ramesh, R. (2019). Optimal Management of Virtual Infrastructures under Flexible Cloud Service Agreements. Information Systems Research. 30 (4) 1424-1446.
  • Li, J., Guo, Z., Tso, G. (2019). An Economic Analysis of Consumer Learning on Entertainment Shopping Websites. Journal of the Association for Information Systems. 20 (4) 308-327.
  • Guo, Z., Ma, D. (2018). A Model of Competition between Perpetual Software and Software as a Service. MIS Quarterly. 42 (1) 1-46.
  • Guo, Z., Chen, J. (2018). Multi-Generation Product Diffusion in the Presence of Strategic Consumers. Information Systems Research. 29 (1) 206-224.
  • Chen, J., Guo, Z. (2014). Strategic Sourcing in the Presence of Uncertain Supply and Retail Competition. Production and Operations Management. 23 (10) 1748-1760.
  • Liu, X., Guo, Z., Lin, Z., Ma, J. (2013). A Local Social Network Approach for Research Management. Decision Support Systems. 56 427-438.
  • Thushari, S., Guo, Z., Ma, J., Jiang, H., Chen, H. (2013). A Social Network-Empowered Research Analytics Framework for Project Selection. Decision Support Systems. 55 (4) 957-968.
  • Yoon, V.Y., Hostler, E.R., Guo, Z., Guimaraes, T. (2013). Assessing the Moderating Effect of Consumer Product Knowledge and Online Shopping Experience on Using Recommendation Agents for Customer Loyalty. Decision Support Systems. 55 (4) 883-893.
  • Guo, Z., Koehler, G.J., Whinston, A.B. (2012). A Computational Analysis of Bundle Trading Markets Design for Distributed Resource Allocation. Information Systems Research. 23 (3) 823-843.
  • Guo, Z. (2012). Optimal Decision Making for Incentive-Based Word-of-Mouth Marketing. Decision Support Systems. 52 (2) 373-383.
  • Hostler, E.R., Yoon, V.Y., Guo, Z., Guimaraes, T., Guisseppi, F. (2011). Assessing the Impact of Recommendation Agents on Online Consumer Unplanned Purchase Behavior. Information & Management. 48 (8) 336-343.
  • Guisseppi, F., Guo, Z. (2009). Internal Supply Chain Coordination in the Electric Utility Industry. European Journal of Operational Research. 196 (2) 619-627.
  • Feng, Y., Guo, Z., Chiang, W.K. (2009). Optimal Digital Content Distribution Strategy in the Presence of Consumer-to-Consumer Channel. Journal of Management Information Systems. 25 (4) 241-270.
  • Fang, F., Guo, Z., Whinston, A.B. (2008). Collective Outsourcing to Market (COM): A Market-Based Framework for Information Supply Chain Outsourcing. Journal of the Association for Information Systems. 9 (4) 98-118.
  • Guo, Z., Koehler, G.J., Whinston, A.B. (2007). A Market-Based Optimization Algorithm for Distributed Systems. Management Science. 53 (8) 1345-1358.
  • Guo, Z., Fang, F., Whinston, A.B. (2006). Supply Chain Information Sharing in A Macro Prediction Market. Decision Support Systems. 42 (3) 1944-1958.
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Overall
Summative Rating		 Challenge and
Engagement Index		 Response Rate

out of 5
out of 7		 %
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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