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

Johnson, Marina, Jain, Rashmi, Brennan, Margaret, Swartz, Ethne, Silver, Deborah, Paolini, Jessica, Mamonov, Stanislav, and Hill, Chelsey, Developing Big Data and AI Workforce Roadmap for A Data Driven Economy. Global Journal of Flexible Systems Management (Forthcoming)

Hendiani, S., Lev, Benjamin, and Gharehbaghi, A., Diagnosing social failures in sustainable supply chains using a modified Pythagorean fuzzy distance to ideal solution. Computers and Industrial Engineering (Forthcoming)

Xiong, Chuanhui, Devlin, Anna, Gupta, Jatinder N., and Liu, Xiangrong, Effect of Price Reduction on Renewable Energy Technology Supply Chain Performance and Contract Design. Journal of the Operational Research Society (Forthcoming)

Zhou, X., Chen, K., Wen, H., Lin, J., Zhang, K., Tian, X., Wang, S., and Lev, Benjamin, Integration of third-party platforms: does it really hurt them?. International Journal of Production Economics (Forthcoming)

Lee, Jinwook, and Prekopa, Andras, Clusters of high-dimensional interval data and related Boolean functions of events in Euclidean space. Annals of Operations Research (Forthcoming)

Tang, M., Liao, H., Mi, X., Lev, Benjamin, and Pedrycz, W., A hierarchical consensus reaching process for group decision making with noncooperative behaviors. European Journal of Operational Research (Forthcoming)

Devlin, Anna, Elmaghraby, Wedad, and Hamilton, Rebecca W., Partitioning cash flows to overcome retailer aversion to stocking new products. Decision Sciences (Forthcoming)

Fang, Jin, and Partovi, F. Y., Criteria determination of Analytic hierarchy process using a topic model. Expert System with Application (Forthcoming)

Idell, Kelly, Gefen, David, and Ragowsky, A, Managing IT Professional Turnover: It Is Not As Much About Compensation As It Is About Distrust. Communications of the Association of Computing Machinery (Forthcoming)

Shah, Samir, and Arinze, Orakwue B., Preparing MIS Students for the Global Workplace: A Case Study. Journal of Higher Education Theory and Practice 20 (Nov 2020):

Ogunranti, Leke, Ceryan, Oben, and Banerjee, A., Buyer-Supplier Currency Exchange Rate Flexibility Contracts in Global Supply Chains. European Journal of Operational Research (Forthcoming)

Ping, Yanni, and Kim, Seung-Lae, In-House Production vs Outsourcing: the Effect of Volume-Based Learning on Quality Competition. International Journal of Operational Research (IJOR) (Forthcoming)

Devlin, Anna, Gupta, Jatinder N., Zhao, Han, Song, Shiji, and Zhang, Yuli, Supply chain coordination with a risk-averse retailer and a combined buyback and revenue sharing contract. Asia Pacific Journal of Operational Research (Forthcoming)

Wang, Conglong, Le-Scherban, Felice, Taylor, Jennifer, Salmoirago-blotcher, Elana, Allison, Matthew A., Gefen, David, Robinson, Lucy, and Michael, Yvonne, The Associations of Job Strain, Life Events and Social Strain with Coronary Heart Disease in the Women’s Health Initiative Observational Study. Journal of the American Heart Association 10 (Mar 2021): e017780.

Fresneda, Jorge, Burnham, Thomas, and Hill, Chelsey, Structural Topic Modeling Segmentation: A Segmentation Method Combining Latent Content and Customer Context. Journal of Marketing Management (Feb 2021):