Maxime Cohen

Research

Interests

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, Phys.org, 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
   

2. "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
   

3. "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
   

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

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

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

7. "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

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

9. "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
   

10. "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
    

11. "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
    

12. "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
    

13. "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
    

14. "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

15. "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
    

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

17. "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
    

18. "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
    

19. "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
    

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

21. "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
    

22. "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
    

23. "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
    

24. "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
    

25. "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
    

26. "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
    

27. "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
    

28. "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
    

29. "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)
    

30. "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
    

31. "Incentivizing Healthy Food Choices Using Add-on Bundling: A Field Experiment," with N. Bandi and S. Ray, Manufacturing & Service Operations Management, 26(6):1981-2014, 2024
    Online Appendix
    Second Place in the 2023 POMS CBOM Junior Scholar Paper Competition
    

32. "The Impact of the Opportunity Zone Program on Residential Real Estate," with R. Bekkerman, X. Liu, J. Maiden, and D. Mitrofanov, Manufacturing & Service Operations Management, 26(6):2142-2159, 2024
    Online Appendix
    Accepted to the 2023 M&SOM Technology, Innovation, and Entrepreneurship SIG
    Finalist in the 2023 INFORMS Service Science DEIJ Paper Competition
    Media coverage: The Conversation, Propmodo, EjePrime (in Spanish)
    

33. "When Platforms Go Public, Standards Drop," with G. Lapierre-Berger and J. C. Serpa, Forthcoming in Production and Operations Management
    

34. "Revisiting the CEO Effect Through a Machine Learning Lens," with H. Shimao, S. J. Kim, and W. Khern-am-nuai, Forthcoming in Management Science
    Accepted to the Fast Track publication process
    

35. "Strategic Best-Response Fairness Framework for Fair Machine Learning," with H. Shimao, W. Khern-am-nuai, and K. Kannan, Conditionally Accepted in Information Systems Research
    Published in the 2022 AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society
    Media coverage: Delve
    

Managerial Articles

36. "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
    

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

38. "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
    

39. "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

40. "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
    

41. "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
    

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

43. "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
    

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

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

46. "Assessing Algorithmic vs. Generative AI Pricing Tools," with T. Spittle and J. Royer, Law360, 2024
    Media coverage: Analysis Group
    

White Papers

47. "AI Medical Scribes: A Revolution in Healthcare Documentation," with E. Toubiana, July 2024
    

48. "AI: What Is It and Why Is It Good for Us and for Society?" the AI Is Good for Us White Paper, available at www.AIisGoodforUs.com, September 2024
    

Books and Book Chapters

49. 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)

50. 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)

51. N. Bandi, M. C. Cohen, S. Ray, "Behavioral Retail Operations: Tactics to Win Customers," Foundations and Trends® in Technology, Information and Operations Management, 2024 (ISBN 978-1-63828-437-6)

52. 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
    

Conference Publications

53. "Decentralized Algorithms for Sequential Network Time Synchronization," with N. Shimkin, Proc. NETCOOP, 4^th Workshop on Network Control and Optimization, Ghent, Belgium, Dec. 2010, pp. 97-104
    

54. "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. 47^th 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
    

Under Review and Working Papers

• "Dynamic Pricing with Fairness Constraints," with S. Miao and Y. Wang, Minor Revision in Operations Research
  Media coverage: Delve
  

• "Customers' Multihoming Behavior in Ride-hailing: Empirical Evidence Using a Structural Model," with S. Chitla, S. Jagabathula, and D. Mitrofanov, Major Revision in Manufacturing & Service Operations Management
  Accepted to the 2023 M&SOM Service Management SIG
  Finalist in the 2023 INFORMS Behavioral Operations Management Best Working Paper Competition
  

• "Bridging Listeners with Artists: Deep Multi-Objective Multi-Stakeholder Music Recommendations," with M. Unger, B. Brost, P. Li, and A. Tuzhilin, Major Revision in Management Science
  

• "Motivating Runners in Real Time: A Field Experiment," with D. Kim, Y. Son, and W. Khern-am-nuai, Major Revision in Operations Research
  

• "Generative AI and Price Discrimination in the Housing Market," with J. Tanlamai and W. Khern-am-nuai, Major Revision in Information Systems Research
  

• "Parking at the Right Spot: Crowdsourcing-Based Promotions for Electric Scooters," with D. Kim, Y. Son, and W. Khern-am-nuai, Submitted (NEW)
  

• "A General Framework for Robust Individualized Decision Learning with Sensitive Variables," with X. Tan, Z. Qi, and L. Tang, Submitted
  

• "Domain Adaptation for Retail Demand Prediction," with N. Tarighat and J. Clark, Submitted
  

• "Managing Multihoming Workers in the Gig Economy," with G. Allon, K. Moon, and P. Sinchaisri, Working paper
  Accepted to the 2023 M&SOM Service Management SIG
  Finalist in the 2024 INFORMS TIMES Best Working Paper Competition
  

• "Vertical Product Location Effect on Sales: A Field Experiment in Convenience Stores," with Z. Jalali, N. Ertekin, and M. Gumus, Working paper
  Accepted to the 2024 M&SOM Service Management SIG
  

• "Offline-Online Retail Collaboration via Pickup Partnership," with Z. Jalali, N. Ertekin, and M. Gumus, Working paper
  

• "Myopic Price Promotions in IPOs: Evidence from Ride-Hailing Platforms," with A. Borah and D. Mitrofanov, Working paper
  

Theses

• "Pricing for Retail, Social Networks, and Green Technologies," Ph.D. Thesis, Massachusetts Institute of Technology, Sept. 2015
  INFORMS Revenue Management and Pricing Dissertation Award, 2016
  

• "Network Time Synchronization Using Decentralized Kalman Filtering," M.S. Thesis, Technion, Oct. 2009