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I am an Assistant Professor of Business Analytics at the Carroll School of Management, Boston College. Broadly, I strive to bridge analytical modeling and methodological innovation with empirical and data-driven research, producing work that advances both theory and practice. My toolkit combines machine learning, deep learning, optimization, econometrics, causal inference, and field experiments, ensuring rigor while addressing pressing managerial and societal challenges.
My more recent research investigates the operational and societal implications of AI and algorithm-enabled decision support systems. In particular, I study how these new disruptive technologies influence worker decision-making, reshape gig and platform-based labor markets, impact consumers, and drive transformations in retail, service operations, and education. I also examine how information disclosure, digital nudges, and algorithmic interventions can be leveraged by firms to improve efficiency, enhance customer experience, and reduce costs in a scalable and sustainable manner. My core expertise is in revenue management, retail operations, and consumer choice modeling, where I strive to develop methodologies by combining data analytics with mathematical modeling, which could lead companies to make effective operational decisions.
Most of my research has a strong practical impact, as it is conducted in close collaboration with numerous industry partners, including online grocery delivery platforms, ride-hailing services, peer-to-peer platforms, fashion retailers, and education technology platforms. These partnerships allow me to design and implement field experiments, analyze large-scale worker, user, and transaction-level data, and develop actionable solutions. I have published papers in leading academic journals, including Operations Research, Management Science, Manufacturing & Service Operations Management (M&SOM), and Harvard Business Review. My research has been recognized with several prestigious academic awards, including the MSOM Student Paper Competition, the INFORMS JFIG Paper Competition, the INFORMS Behavioral Operations Management Best Paper Award, and the INFORMS Service Science Best Student Paper Award.
Research interests: AI, Human-Algorithm Collaboration, Future of Work, Retail Operations, Online Platforms, Consumer Choice Modeling, Revenue Management, Machine Learning, and Data Science.
Contacts/Links: dmitry.mitrofanov@bc.edu, LinkedIn, Google Scholar, SSRN.
Note: My research often involves close collaboration with companies, and I am open to new consulting and partnership opportunities.
Research
Research
Published/Accepted
Published/Accepted
Disclosing Low Product Availability: An Online Platform's Strategy for Mitigating Stockout Risk, Published Online at Management Science (2025) (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, 3rd Place
Consider or Choose? The Role and Power of Consideration Sets, Accepted at Management Science (2025) (with Y. Akchen).
INFORMS Service Science Best Cluster Paper Competition 2024, Finalist
The Impact of the Opportunity Zone Program on the Residential Real Estate Market. Published at Manufacturing & Service Operations Management (2024) 26 (6). (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)
Demand Estimation under Uncertain Consideration Sets, Published at Operations Research (2024) 72 (1) (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 (2022) 70 (2) (with S. Jagabathula and G. Vulcano).
Accepted to the 2018 M&SOM Service Management SIG
Managerial Articles
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.
Under Review/Working Papers
Under Review/Working Papers
Customers' Multihoming Behavior in Ride-hailing: Empirical Evidence Using a Structural Model, Major Revision at Manufacturing & Service Operations Management (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
AI-enabled Technology and Gig Workforce: The Role of Experience, Skill Level, and Task Complexity, Major Revision at Information Systems Research (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.
Assortment Optimization with Replacement Options for Retail Platforms with Stockout Risk, Major Revision at Operations Research (with H. Topaloglu and Y. Wang).
POMS College of Service Operations Management (CSOM) Best Student Paper Competition 2025, second place (student: Yuheng Wang)
Algorithm-enabled Decision Support and Worker Learning: Evidence from a Large-Scale Field Experiment, Major Revision at Manufacturing & Service Operations Management (with Y. Kim, B. Knight, and Y. Xu).
Accepted to the 2025 M&SOM Technology, Innovation, and Entrepreneurship SIG
Nudging Customers to Select High Stock Delivery Windows via Information Sharing, Working Paper (with D. Kim and B. Knight).
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2024.
Accepted to the 2025 M&SOM Service Management SIG
Product Availability Disclosure: Navigating Conflicting Interests on a Grocery Delivery Platform, Working Paper (with T. Dizdarer and X. Zhao).
Accepted to the 2025 M&SOM Supply Chain Management SIG
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).
Myopic Price Promotions in IPOs: Evidence from Ride-Hailing Platforms, working paper (with A. Borah and M. Cohen).
Selected ACADEMIC INVITED SEMInars
Selected ACADEMIC INVITED SEMInars
Ohio State University, Fisher College of Business, 2026 (scheduled)
MIT, Sloan School of Management, 2025 (scheduled)
University of Washington, Foster School of Business, 2025 (scheduled)
UNC, Kenan-Flagler Business School, 2025
Duke University, Fuqua School of Business, 2024
University of Rochester, Simon Business School, 2023
UIUC, Gies College of Business, 2019
University of Miami, Herbert Business School, 2019
Boston College, Carroll School of Management, 2019
Selected Awards
Selected Awards
POMS CSOM Best Student Paper Competition 2025, 2nd place
INFORMS Service Science Best Cluster Paper Competition 2024, Finalist
INFORMS Junior Faculty Interest Group (JFIG) 2024, 3rd Place
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
Teaching
Teaching
Instructor
Instructor
Operations Management (Undergraduate), NYU, Stern, 2018.
Operations Management (Undergraduate), Boston College, Carroll School of Management, 2020-2025.
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