Designation: Asst. Dean
Department: Department of Management, Marketing & Entrepreneurship
University: Fayetteville State University
Country: United States
Dr. Burcu Adivar is a professor of management and the Assistant Dean of Broad well College of Business and Economics at Fayetteville State University. After completing her bachelor's degree in industrial engineering at Bilkent University in 1999, she received her master’s in 2001 and Ph.D. degree in 2006 from Edward P. Fitts Department of Industrial Engineering at North Carolina State University. Before joining Fayetteville State University, She was a faculty member at Department of Logistics Management at Izmir University of Economics. Between 2003 and 2006, she held an optimization specialist position in the Analytical Solutions Department at SAS Institute, Inc., Cary NC. During her career, she worked as an academic consultant to simulate and optimize various hospital processes at very large hospitals in Turkey. She is one of the founders of Health Informatics as well as Business Intelligence and Data Analytics programs at the Graduate and Professional Studies in Business at Fayetteville State University. As a member of Cape Fear Research Consortium, She has been conducting research for Army Medical Research and Materiel Command. She has articles in press or published in several journals such as Disaster Management and Prevention, Health Policy and Technology, Supply Chain Management: An International Journal, Fuzzy Optimization and Decision Making, Journal of Industrial and Engineering Optimization and Journal of Advances in Management Research. Her work has been recognized by numerous awards including the USASBE Best Overall Paper Award, USASBE Best Empirical Paper Awards, the Fayetteville State University Excellence in Research Award and the Best Online Course Design Award.
Her research interests include health care management with special focus on health care analytics, health care simulation and optimization, inventory control for medical supplies, epidemiological models for infectious diseases and disaster management.
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