Dmitry Mitrofanov
Office: Fulton Hall, Room 340
257 Beacon Street,
Chestnut Hill, MA 02467
Phone: (617) 552-6582
Email: dmitry.mitrofanov@bc.edu
I am an Assistant Professor of Business Analytics at Carroll School of Management, Boston College. I received my PhD in Operations Management at NYU Stern School of Business. My research interests fall into the intersection of data-driven operations, machine learning, and decision analytics, with applications in car-sharing, ride-hailing, and retail industries. More broadly, I strive to develop methodologies by combining data analytics with mathematical modeling which could lead companies to make effective operational decisions.
Research
Published/Under Review/Working Papers
Choice Modeling, Assortment Optimization, and Estimation When Customers are Non-Rational: Multinomial Logit Model with Non-Parametric Dominance, Working Paper (with H. Topaloglu and Y. Wang).
Long-Term Policy Prediction with Causal Graphs: Insights from Healthy Grocery Shopping, Working Paper (with N. Kaynar).
Assortment Optimization with Replacement Options for Retail Platforms with Stockout Risk, Working Paper (with H. Topaloglu and Y. Wang).
AI-enabled Technology and Gig Workforce: The Role of Experience, Skill Level, and Task Complexity, Working Paper (with B. Knight and S. Netessine).
INFORMS Service Science Best Cluster Paper Competition 2023, Finalist
To appear as a working paper at ACM Conference on Economics & Computation (EC), 2024.
Consider or Choose? The Role and Power of Consideration Sets, Minor Revision at Management Science (with Y. Akchen).
INFORMS Service Science Best Cluster Paper Competition 2024, Finalist
Disclosing Low Product Availability: An Online Platform's Strategy for Mitigating Stockout Risk, Minor Revision at Management Science (with B. Knight).
Featured in Harvard Business Review (digital article)
INFORMS Behavioral Operations Management Best Working Paper Competition 2022, Finalist
INFORMS Junior Faculty Interest Group (JFIG) 2024, Finalist
The Impact of the Opportunity Zone Program on the Residential Real Estate Market. Accepted at MSOM (with R. Bekkerman, M. Cohen, X. Liu, and J. Maiden).
Accepted to the 2023 M&SOM Technology, Innovation, and Entrepreneurship SIG
INFORMS Service Science DEIJ Paper Competition 2023, Finalist
Media coverage: The Conversation, Propmodo, EjePrime (in Spanish)
Customers' Multihoming Behavior in Ride-hailing: Empirical Evidence Using a Structural Model, Major Revision at MSOM (with S. Chitla, M. Cohen, and S. Jagabathula).
Accepted to the 2023 M&SOM Service Management SIG
INFORMS Behavioral Operations Management Best Working Paper Competition 2023, Finalist
Myopic Price Promotions in IPOs: Evidence from Ride-Hailing Platforms, working paper (with A. Borah and M. Cohen).
Demand Estimation under Uncertain Consideration Sets, Published at Operations Research (with S. Jagabathula and G. Vulcano).
Job Market Paper
MSOM Student Paper Competition 2019, 2nd prize
INFORMS Service Science Best Student Paper Award 2019, Finalist
Personalized Retail Promotions through a DAG-based Representation of Customer Preferences, Published at Operations Research (with S. Jagabathula and G. Vulcano).
Accepted to the 2018 M&SOM Service Management SIG
Managerial Articles
How Online Retailers Can Avoid Costly Out-of-Stock Issues (with D. Kim and B. Knight), Harvard Business Review, Digital Article, October 2024.
Why You Should Warn Customers When You’re Running Low on Stock (with B. Knight), Harvard Business Review, Digital Article, September 2022.
U.S. Opportunity Zones Use Tax Breaks for Developers to Help Poor Neighborhoods -- But Are They Choosing Wisely? (with R. Bekkerman, M. Cohen, and J. Maiden) Published in The Conversation, National Post, and Yahoo News, 2021.
Selected Awards
INFORMS Service Science Best Cluster Paper Competition 2024, Finalist
INFORMS Junior Faculty Interest Group (JFIG) 2024, Finalist
INFORMS Service Science Best Cluster Paper Competition 2023, Finalist
INFORMS Behavioral Operations Management Best Working Paper Competition 2023, Finalist
INFORMS Service Science DEIJ Paper Competition 2023, Finalist
INFORMS Behavioral Operations Management Best Working Paper Competition 2022, Finalist
MSOM Student Paper Competition, 2nd prize, 2019
INFORMS Service Science Best Student Paper Award, Finalist, 2019
W. Edwards Deming Doctoral Fellowship, Stern School of Business, NY, 2018-19
Doctoral Scholarship, Stern School of Business, NY, 2014-19