Maxime Cohen



Retail Operations, AI and Data Science, Revenue Management and Pricing, Online Platforms, Field Experiments, Real Estate, Sustainability

Published and Accepted Papers

  1. "The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption," with R. Lobel and G.Perakis, Management Science 62(5):1235-1258, 2016
    Media coverage: MIT News, ScienceDaily,, EurekAlert
    First Place in the 2019 Best OM Paper in Management Science Award, Honorable Mention in the 2019 ENRE Best Publication Award in Environment and Sustainability

  1. "The Impact of Linear Optimization on Promotion Planning," with Z. Leung, G. Perakis, K. Panchamgam, and A. Smith, Operations Research 65(2):446-468, 2017
    Online Appendix
    Media coverage: HuffPost, O.R. by the Beach, MIT Sloan Experts
    First Place in the 2014 Best Student Paper Award - INFORMS Service Science, 2015 NEDSI Conference Best Application of Theory Award

  1. "Scheduling Promotion Vehicles to Boost Profits," with L. Baardman, K. Panchamgam, G. Perakis, and D. Segev, Management Science 65(1):50-70, 2019
    Online Appendix
    First Place in the 2016 Best Cluster Paper Award - INFORMS Service Science

  1. "Consumer Subsidies with a Strategic Supplier: Commitment vs. Flexibility," with J. Chemama, R. Lobel, and G. Perakis, Management Science 65(2):681-713, 2019

  1. "Big Data and Service Operations," Production and Operations Management 27(9):1709-1723, 2018

  1. "Dynamic Pricing Through Data Sampling," with R. Lobel and G. Perakis, Production and Operations Management 27(6):1074-1088, 2018

  1. "Overcommitment in Cloud Services - Bin Packing with Chance Constraints," with P. Keller, V. Mirrokni, and M. Zadimoghaddam, Management Science 65(7):3255-3271, 2019
    Accepted to the 2017 ACM SIGMETRICS Conference
    Online Appendix

  1. "Designing Price Incentives in a Network with Social Interactions," with P. Harsha, Manufacturing & Service Operations Management 22(2):292-309, 2020
    Online Appendix

  1. "Data-Driven Investment Strategies for Peer-to-Peer Lending," with C. D. Guetta, K. Jiao, and F. Provost, Big Data 6(3):191-213, 2018
    Among the 5 top-read articles of 2018, 2019, and 2020
    Media coverage: Medium

  1. "An Efficient Algorithm for Dynamic Pricing Using a Graphical Representation," with S. Gupta, J. J. Kalas, and G. Perakis, Production and Operations Management 29(10):2326–2349, 2020
    Finalist for the 2016 Service Science Section Student Paper Competition

  1. "Feature-Based Dynamic Pricing," with I. Lobel and R. Paes Leme, Management Science 66(11):4921-4943, 2020
    Lead article
    Accepted to the 2016 ACM Conference on Economics & Computation
    Associated article in SIGecom Exchanges
    Online Appendix

  1. "A Simple Rule for Pricing with Limited Knowledge of Demand," with R. S. Pindyck and G. Perakis, Management Science 67(3):1608-1621, 2021
    Accepted to the 2016 ACM Conference on Economics & Computation
    NBER Working Paper No. 21679

  1. "Promotion Optimization for Multiple Items in Supermarkets," with J. J. Kalas and G. Perakis, Management Science 67(4):2340-2364, 2021
    Media coverage: Investor Place

  1. "Frustration-Based Promotions: Field Experiments in Ride-Sharing," with M. D. Fiszer and B. J. Kim, Management Science, 68(4):2432-2464, 2022
    Accepted to the 2018 M&SOM Service SIG and to the 2018 Marketplace Innovation Workshop
    Management Science Review
    Media coverage: Quartz, Oversharing, NYU Stern Research Highlights, NYU Stern Alumni Magazine
    Finalist in the 2018 M&SOM Student Paper Competition, First Place in the 2018 Best Cluster Paper Award - INFORMS Service Science

  1. "Field Experiments for Testing Revenue Strategies in the Hospitality Industry," with D. Lopez Mateos and N. Pyron, Cornell Hospitality Quarterly 63(2):247-256, 2022
    Longer version
    Media coverage: Revenue Hub

  1. "Consumer Surplus Under Demand Uncertainty," with G. Perakis and C. Thraves, Production and Operations Management, 31(2):478-494, 2022
    Online Appendix

  1. "Incentivizing Commuters to Carpool: A Large Field Experiment with Waze," with M. D. Fiszer, A. Ratzon, and R. Sasson, Manufacturing & Service Operations Management, 25(4):1263-1284, 2023
    Online Appendix
    AEA RCT Registry
    Media coverage: Delve
    Finalist in the 2021 M&SOM Practice-Based Research Competition

  1. "Price Discrimination with Fairness Constraints," with A. N. Elmachtoub and X. Lei, Management Science, 68(12):8536-8552, 2022
    [Code] [Replication Files]
    Online Appendix
    Management Science Review
    Accepted to the 2021 ACM Conference on Fairness, Accountability, and Transparency and to the 2020 Workshop on Mechanism Design for Social Good

  1. "Competition and Coopetition for Two-Sided Platforms," with R. Zhang, Production and Operations Management, 31(5):1997-2014, 2022
    Online Appendix
    Honorable mention in the 2017 Best Cluster Paper Award - INFORMS Service Science

  1. "Data Aggregation and Demand Prediction," with R. Zhang and K. Jiao, Operations Research, 70(5):2597-2618, 2022
    Online Appendix
    Finalist in the 2019 INFORMS Data Mining Section Best Paper Competition

  1. "Evolution of Referrals Over Customers' Life Cycle: Evidence from a Ride-Sharing Platform," with C. Fernandez and A. Ghose, Information Systems Research, 34(2):698–720, 2023
    Media coverage: NYU Stern Research Highlights, NYU News

  1. "The Effect of Short-Term Rentals on Residential Investment," with R. Bekkerman, E. Kung, and D. Proserpio, Marketing Science, 42(4):819–834, 2023
    Accepted to the 2022 ACM Conference on Economics & Computation
    Best Conference Paper Nominee, Conference on Information Systems and Technology (CIST)
    Accepted at CIST 2021, 2021 North American Meeting of the Urban Economics Association, and 2022 Frank M. Bass FORMS Conference

  1. "Price Discrimination and Inventory Allocation in Bertrand Competition," with A. Jacquillat and H. Song, Manufacturing & Service Operations Management, 25(1):148-167, 2023
    Online Appendix

  1. "The Use of AI in Legal Systems: Determining Independent Contractor vs. Employee Status," with S. Dahan, W. Khern-am-nuai, H. Shimao, and J. Touboul, Artificial Intelligence and Law, 2023
    Accepted to the 2022 Conference on Empirical Legal Studies

  1. "Best of Both Worlds Ad Contracts: Guaranteed Allocation and Price with Programmatic Efficiency," with A. Desir, N. Koroula, and B. Sivan, Management Science, 29(7):4027-4050, 2023

  1. "The Impact of High-Occupancy Vehicle Lanes on Carpooling," with A. Jacquillat, A. Ratzon, and R. Sasson, Transportation Research Part A: Policy and Practice, 165 (2022) 186-206, 2022

  1. "The Impact of Behavioral and Economic Drivers on Gig Economy Workers," with G. Allon and W. P. Sinchaisri, Manufacturing & Service Operations Management, 25(4):1376-1393, 2023
    Online Appendix
    Selected as Best Paper at the 2019 Academy of Management Meeting and accepted to the 2019 MSOM Service SIG
    Medial coverage: Knowledge@Wharton, Berkeley Haas Newsroom
    Finalist in the 2019 INFORMS BOM Section Best Working Paper Competition, Finalist in the 2020 POMS College of Behavioral Operations Junior Scholar Paper Competition

  1. "Managing Airfares Under Competition: Insights From a Field Experiment," with A. Jacquillat, J. C. Serpa, and M. Benborhoum, Management Science, 69(10):6076–6108, 2023
    Best Technical Presentation at the 2018 AGIFORS Annual Symposium

  1. "Data Analytics to Detect Panic Buying and Improve Products Distribution Amid Pandemic," with Y. Adulyasak, O. Benomar, A. Chaouachi, and W. Khern-am-nuai, AI & Society: Knowledge, Culture and Communication, 2023
    Accepted to the 2020 Workshop on Information Technologies and Systems (WITS)
    Media coverage: Delve, L'actualité (in French)

  1. "Selecting Cover Images for Restaurant Reviews: AI vs. Wisdom of the Crowd," with W. Khern-am-nuai, H. So, and Y. Adulyasak, Manufacturing & Service Operations Management, 26(1):330-349, 2024
    Finalist in the 2021 INFORMS Service Science Best Cluster Paper Award
    Online Appendix

Managerial Articles

  1. "Using Business Analytics to Upgrade Sales Promotions," with L. Baardman, K. Panchamgam, and G. Perakis, Management and Business Review, 1(3):54-63, Fall 2021

  1. "How In-Store Tech Will Transform Retail," with S. Zhu and S. Ray, MIT Sloan Management Review, 63(1):18-20, Fall 2021 Issue

  1. "Conflict Analytics: When Data Science Meets Dispute Resolution," with S. Dahan and C. Rule, Management and Business Review, 2(2):86-93, Spring 2022 Issue

  1. "U.S. Opportunity Zones Use Tax Breaks for Developers to Help Poor Neighbourhoods — But Are They Choosing Wisely?" with R. Bekkerman, J. Maiden, and D. Mitrofanov, Published in The Conversation, National Post, and Yahoo News, 2021

  1. "Research: Restricting Airbnb Rentals Reduces Development," with R. Bekkerman, E. Kung, and D. Proserpio, Harvard Business Review, Digital Article, November 2021
    Media coverage: CSUN Today

  1. "IPO Disclosures Are Ripe for Reform," with A. Damodaran and D. McCarthy, MIT Sloan Management Review, 63(4):55-61, Summer 2022 Issue
    Longer Version - "Initial Public Offerings: Dealing with the Disclosure Dilemma"
    Media coverage: MarketWatch

  1. "Measuring Gentrification," with R. Bekkerman and D. Warde, Summit Journal AFIRE, Issue 12, 2023

  1. "Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic," with Y. Adulyasak, W. Khern-am-nuai, and M. Krause, IEEE Engineering Management Review, 52(1):268-280, 2024

  1. "The Role of AI in Developing Resilient Supply Chains," with C. S. Tang, Georgetown Journal of International Affairs, 2024

  1. "Lessons from More Than 1,000 E-Commerce Pricing Tests," with A. Kitain, D. Marconi, and A. Raftery, Harvard Business Review, Digital Article, March 2024 (NEW)

Books and Book Chapters

  1. M. C. Cohen, P. E. Gras, A. Pentecoste, R. Zhang, "Demand Prediction in Retail - A Practical Guide to Leverage Data and Predictive Analytics," Springer Series in Supply Chain Management 14, 2022 (ISBN 978-3030858551)

  1. L. Dubé, M. C. Cohen, N. Yang, B. Monla (Eds.), "Precision Retailing: Driving Results with Behavioral Insights and Data Analytics," University of Toronto Press, 2024 (ISBN 978-1487542719)

  1. N. Bandi, M. C. Cohen, S. Ray, "Behavioral Retail Operations: Tactics to Win Customers," Foundations and Trends® in Technology, Information and Operations Management, Forthcoming

  1. M. C. Cohen, G. Perakis, "Optimizing Promotions for Multiple Items in Supermarkets," Channel Strategies and Marketing Mix in a Connected World, (Eds.) S. Ray and S. Yin, Springer Series in Supply Chain Management 9, 2020

Under Review and Working Papers

Conference Publications

  • "Sunsailor: Solar Powered UAV," with S. Tsach, L. Ankri, Y. Ehrlich, T. Goldenberg, H. Levy, I. Regev, A. Vladimirsky, A. Weider, and Z. Yossef, Proc. 47th Israel Annual Conf. on Aerospace Sciences, Feb. 2007
    First price at the 2007 Technion Creativity in Science and Technology competition, Best student project in the 47th Israel Annual Conference on Aerospace Sciences