Alex Markle
Associate Professor and Associate Chair Strategy and Statistics at Fordham University
Schools
- Fordham University
Links
Biography
Fordham University
Alex Markle joined the Gabelli School of Business in 2012. He conducts research on judgment and decision-making, bringing together insights from economics and psychology to better understand how individuals make decisions, why their decision-making processes often deviate from rational standards, and what strategic implications their decision-making errors and biases may have. His work has been published in Management Science, Strategic Management Journal, and the Journal of Risk and Uncertainty.
Dr. Markle has also taught decision-making as an assistant professor at the Hong Kong University of Science and Technology and as a visiting professor at the Wharton School of the University of Pennsylvania.
Dr. Markle holds a PhD in behavioral science from The University of Chicago Booth School of Business, and a BS in engineering from Carnegie Mellon University.
Dr. Markle has taught courses in strategy, judgment and decision-making, and negotiation at the graduate and undergraduate levels.
Education
- PhD: Behavioral Science, The University of Chicago Booth School of Business, Chicago, IL
- Bachelor's: Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA
Research interests
- Judgment and Decision-Making
- Strategic Decision-Making
Publications
- Markle, A. & Rottenstreich, Y. (2018) Simultaneous Preferences for Hedging and Doubling Down: Focal Prospects, Background Positions, and Non-Consequentialist Conceptualizations of Uncertainty. Management Science, 64(12): 5461-5959.
- Markle, A., Wu, G., Sackett, A., & White, R. (2018) Goals as Reference Points in Marathon Running: A Novel Test of Reference-Dependence. Journal of Risk and Uncertainty, 56(1): 19-50.
- Markle, A. (2011). Dysfunctional Learning in Decision Processes: The Case of Employee Reciprocity. Strategic Management Journal, 32(13): 1411-1425.
- Wu, G. & Markle, A. (2008). An Empirical Test of Gain-Loss Separability in Prospect Theory. Management Science, 54(7): 1322-1335.
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