Antoine Feylessoufi
Subject Areas
Operations Management & Quantitative Methods
Operations Management & Quantitative Methods
Professor Feylessoufi is an Assistant Professor of Operations and Quantitative Methods at Vanderbilt University, Owen Graduate School of Management. Prior to joining Vanderbilt, he was a Research Fellow at University College London and Visiting Professor at HEC Paris. He earned his PhD in Operations Management and MPhil in Management Science and Operations at the University of Cambridge as well as a Diplôme d’Ingénieur in Industrial Engineering and Applied Mathematics at the Institut National Polytechnique de Grenoble.
Professor Feylessoufi received numerous awards for his research, including the INFORMS TIME Best Dissertation Award, INFORMS TIME Paper of the month, and has been published in outlets such as Management Science. He was an Economic and Social Research Council Scholar during his PhD studies and is a Fellow of the Royal Society of Arts, Manufacture and Commerce.
Feylessoufi, A., Kavadias, S., & Ralph, D. (2024). Behavioral microfoundations of new practice adoption: The effects of rewards, training and population dynamics. Management Science, 70(10), 6685-6703.
Betcheva, L., Erhun, F., Feylessoufi, A., Fryers, P., Gonçalves, P., Jiang, H., ... & Tyrrell, C. (2024). An adaptive research approach to COVID-19 forecasting for regional health systems in England. INFORMS Journal on Applied Analytics.
Professor Feylessoufi’s research lies at the intersection of innovation and service operations management. More specifically, he studies how employees or companies react to changes in their organizational or industry landscape and how firms can optimize operational performance given these dynamics. Some applications of the disruptive changes he studies, are the complex behavioural dynamics behind the adoption of new and risky practices in organizations (e.g., AI, digital innovation), the changes in customer loyalty from new disruptive online sales channels in the hotel industry, and the impact of changing incentive contracts on employees’ productivity.
Professor Feylessoufi principally uses classic and evolutionary game theory to generate actionable insights and complement these theoretical analyses with data-driven methods such as econometrics and simulations using datasets obtained through industry collaborations.
Ph.D., Operations Management, University of Cambridge, 2020
M.Phil., Management Science and Operations, University of Cambridge, 2015
Dipl. Ing., Industrial Engineering and Applied Mathematics, Institut National Polytechnique de Grenoble, 2014