Web Analytics
Franco Berbeglia

About me

I am Assistant Professor of Management at Purdue University.

My research lies at the intersection of Operations Management and Marketing, with a particular focus on the entertainment industry and digital markets. I study problems such as optimal release timing, ranking optimization, and digital piracy. Methodologically, my work leverages structural modeling, game theory, and econometrics to enable counterfactual and equilibrium analyses, uncover causal relationships, and inform optimal strategic decisions.

I collaborate with industry partners including the Movie Production Association (MPA) as a fellow at the Initiative for Digital Entertainment Analytics (IDEA), Carnegie Melllon University.

I earned my Ph.D. in Operations Management, with a minor in Marketing and Machine Learning, from the Tepper School of Business at Carnegie Mellon University. Prior to my doctoral studies, I completed an M.Sc. in Physics at the University of Buenos Aires, specializing in Fluid Dynamics. After graduating from UBA, I held a research internship at Australia’s National Centre for Information and Communications Technology, where I worked on consumer choice models under social influence.

Work in Progress

  • Stolen Screens: The Causal Impact of P2P Downloads on Global Box Office Sales. (with Mike Smith and Rahul Telang).
  • The Price of Streaming. (with Tim Derdenger and Sridhar Tayur).
  • Strategic implications of binge consumption for entertainment goods: an analysis of AVOD services. (with Tim Derdenger).
  • A Stochastic, Dynamic Model for Optimizing Home Video Release. (with Tim Derdenger and Sridhar Tayur).
  • Movies to series: the spillover effect of movie stars. (with Arindam Chowdhury and Brett Danaher).

Journal Publications

Refereed Conference Proceedings

Teaching

Teaching

Teaching Interests

Undergraduate and MBA:
Marketing Management, Marketing Analytics, Business Analytics, Supply Chain Management, Operations Management, Service Management, Probability and Statistics, Optimization, Entertainment Analytics

PhD:
Game Theory, Empirical Research in Operations Management, Choice Models, Dynamic Structural Models

Experience

Instructor, Purdue University 2021–Present

  • Marketing Management (Undergraduate Core) – Two sections per year.
    • 2025 (Course: 4.56/5, Communication: 4.56/5)
    • 2024 (Course: 4.45/5, Communication: 4.53/5)
    • 2023 (Course: 4.51/5, Communication: 4.58/5)
    • 2022 (Course: 4.49/5, Communication: 4.51/5)
  • Marketing Analytics (Undergraduate Elective)
    • 2025 (Course: 4.21/5, Communication: 4.36/5)
    • 2024 (Course: 4.31/5, Communication: 4.57/5)
  • Seminar in Marketing Models (PhD Elective) – 2022

Previous Teaching Experience – Carnegie Mellon University 2017–2021

  • Instructor: Operations Management (Undergraduate) – Full course responsibility.
    Evaluation: 4.57/5.0 (Course), 4.71/5.0 (Teaching)
  • Teaching Assistant for MBA and undergraduate courses, including:
    • Service Management, Operations Management, Entrepreneurial Alternatives, Real Options
    • Led recitations and office hours; developed assignments and exams; graded coursework