Dr. Megan Wydick Martin joined Meredith College as an Assistant Professor of Management Information Systems and Quantitative Methods in 2017. She has a Ph.D. in Management Science (Business Information Technology) from Virginia Polytechnic Institute and State University, an M.B.A from the University of North Carolina Wilmington and a B.A. in Mathematics with a minor in Statistics from the University of North Carolina Wilmington. She continued to enhance her data analytics expertise by earning the SAS Predictive Modeler and SAS Advanced Analytics certifications. Prior to her academic career, she managed the electronic training platform for a nationwide plasma collection company. She served as the subject matter expert for all technical aspects of the computerized training system for executive leadership as well as end users. Dr. Martin continues to consult for private companies on a variety of challenges related to operations management and information systems.
Martin, M. W., C. Ragsdale. (2018) Optimizing Product Test Scheduling With In-Process and At-Completion Inspection Contstraints. Decision Sciences Institute 49th Annual Meeting, Chicago, Illinois.
Martin, M. W. (2013) Features to Consider When Identifying a Compatible Electronic Medical Records System. Production and Operation Management Society 24th Annual Conference, Denver, Colorado.
Martin, M. W., J. Chacko, S. Collignon, and C. Ragsdale. (2012) Identifying the Best Path to Optimality in a Grants Administration Workload Assignment Problem. Decision Sciences Institute 43rd Annual Meeting, San Francisco, California.
Martin, M. W. and C. Ragsdale. Navigating the Best Path to Optimality in a University Workload Assignment Problem. Decision Sciences, May 2020
Collignon, S., J. Chacko, and M.W. Martin. An Alternative Multiple-Choice Question Format to Guide Feedback Using Student Self-Assessment of Knowledge. Decision Sciences Journal of Innovative Education.