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

Nacarelli, Victoria, and Gefen, David, Trustworthiness and the Adoption of Business Analytics. Information Systems Management (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)

Liao, Yi, Li, Jun, Hu, Xinxin, Li, Ying, and Shen, Wenjing, Application of Lateral Transshipment in Cost Reduction of Decentralized Systems. Sustainability Journal (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)

Zhou, X., Li, L., Wen, H., Tian, X., Wang, S., and Lev, Benjamin, Supplier’s goal setting considering sustainability: An uncertain dynamic Data Envelopment Analysis based benchmarking model. Information Sciences 545 (Feb 2021): 44-46.

Zhou, X., Wei, X., Lin, J, Tian, X., Lev, Benjamin, and Wang, S., Supply chain management under carbon taxes: A review and bibliometric analysis. OMEGA 98 (Jan 2021): 102295.

Zhou, X., Lev, Benjamin, and Anderson, H. S., OMEGA Statistics and Trends during the EVISE era. OMEGA 97 (Dec 2020): 102306.

Lev, Benjamin, Obituary - Samuel Eilon. OMEGA 97 (Dec 2020): 102299.

Hendiani, S., Liao, H., Ren, R., and Lev, Benjamin, A likelihood-based multi-criteria sustainable supplier selection approach with complex preference information. Information Sciences 536 (Oct 2020): 135-155.

Lev, Benjamin, Goodbye EVISE and welcome Editorial Manager!. OMEGA 96 (Oct 2020): 102284.

Lev, Benjamin, My Experience as EIC of OMEGA, Keynote Address. The 14th International conference on MSEM, Chisinau, Moldova (Jul 2020):

Gefen, David, Ben Assuli, Ofir, Shlomo, Nir, Robertson, Noreen, and Klempfner, Robert, A Case-Study of Applying Text Analysis to Identify Possible Adverse Drug Interactions: The Case of Adalat (Nifedipine). Health Informatics Journal 26 (Sep 2019): 1060-1078.