Decision Sciences and MIS


The Decision Sciences Department has three major research disciplines: statistics, operations research and operations management. Statistics research topics include datamining, quality control, correlation/covariance and skewness models; in Operations Research, nonlinear optimization, which encompasses a range of mathematical methods to model and optimize the performance of complex systems in business, engineering, and medicine; and in Operations Management, the modeling and analysis of strategic and operational decisions in supply chain management and healthcare systems.

Recent Works

McCullough, B D., Using Student Evaluations of Teaching to Support Faculty: Use Proportions Instead of Means to Analyze SETs. Journal of Higher Education Theory and Practice (Forthcoming)

Reindorp, Matthew, Tanrisever, F., and Lange, A., Purchase Order Financing: Credit, Commitment, and Supply Chain Consequences. Operations Research (Forthcoming)

Gefen, David, Miller, Jacob, Armstrong, Johnathon, Cornelius, Fran, Robertson, Noreen, Smith-McLallen, Aaron, and Taylor, Jennifer, Identifying Patterns in Medical Records with Latent Semantic Analysis. Communication of the ACM 41 (Nov 2017): 450-496.

Schneider, Matthew, Jagpal, Sharan, Gupta, Sachin, Li, Shaobo, and Yu, Yan, A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data. Marketing Science (Year 2018):

McWilliams, Thomas P., Davis, Darwin, Saniga, Erwin, Lucas, James, and Faraz, Alireza, Characteristics of Economically Designed CUSUM and X-Bar Charts. Frontiers in Statistical Quality Control (Forthcoming)

Prekopa, Andras, and Lee, Jinwook, Risk Tomography. European Journal of Operational Research 265 (Feb 2018): 149-168.

McCullough, B D., Sun, H.-J., and Fukuda, Kaoru, Inaccurate Regression Coefficients in Microsoft Excel 2003: An Investigation of Volpi’s Zero Bug. Computational Statistics 32 (Dec 2017): 1411-1421.

Gefen, David, Endicott, James, Fresneda, Jorge, Miller, Jacob, and Larsen, Kai R., A Guide to Text Analysis with Latent Semantic Analysis in R with Annotated Code Studying Online Reviews and the Stack Exchange Community. Communications of the Association for Information Systems 41 (Dec 2017):

Ceryan, Oben, Duenyas, Izak, and Sahin, Ozge, Dynamic Pricing and Replenishment with Customer Upgrades. Production Operations Management Journal (Year 2017):

Gefen, David, and Larsen, Kai R., Controlling for Lexical Closeness in Survey Research: A Demonstration on the Technology Acceptance Model. Journal of the Association for Information Systems 18 (Oct 2017): 727-757.

Polak, George, Rogers, David, and Wu, Chaojiang, A Generalized Maximin Decision Model for Managing Risk and Measurable Uncertainty. IIE Transactions 49 (Year 2017): 956-966.

Guo, Hui, Wu, Chaojiang, and Yu, Yan, Time-Varying Beta and the Value Premium. Journal of Financial and Quantitative Analysis 52 (Aug 2017): 1551-1576.

Wu, Chaojiang, Hill, Chelsey, and Yan, Erjia, Disciplinary Knowledge Diffusion in Business Research. Journal of Informetrics 11 (May 2017): 655-668.

Yu, Yan, Wu, Chaojiang, and Zhang, Yuankun, Penalised Spline Estimation for Generalised Partially Linear Single-Index Models. Statistics and Computing 27 (Mar 2017): 571-582.