Decision Sciences and MIS

Research

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

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)

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.

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.

Arnheiter, Edward, Teaching Lean Management using Experiential Methods to Improve Learning. International Journal of Information and Operations Management Education 5 (Fall 2014): 344-362.

Wu, Chaojiang, and Yu, Yan, Partially Linear Modeling of Conditional Quantiles Using Penalized Splines. Computational Statistics and Data Analysis 77 (Sep 2014): 170-187.

Maleyeff, John, Arnheiter, Edward, and Venkateswaran, Venkat, The Continuing Evolution of Lean Six Sigma. The Tqm Journal 24 (Nov 2012):

McCullough, B D., and McWilliams, Thomas P., Students with the initial ‘‘A’’ don’t get better grades. Journal of Research in Personality 45 (Mar 2011): 340-343.

McWilliams, Thomas P., and Hargreaves, Bruce R., Polynomial Trendline Function Flaws in Microsoft Excel. Computational Statistics and Data Analysis 54 (Mar 2010): 1190-1196.

Arnheiter, Edward, and Greenland, Jean, Looking for Root Cause: A Comparative Analysis. The Tqm Journal 20 (Jan 2008): 18-30.