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John R. Hauser

John R. Hauser is the Kirin Professor of Marketing at the MIT Sloan School of Management.

John R. Hauser, Kirin Professor of Marketing at MIT Sloan School of Management

Featured Research

"Supply Side Considerations When Using Conjoint Analysis in Litigation," Befurt, Rene, Felix Eggers, and John R. Hauser (2024), Handbook of Marketing Analytics: Methods and Applications in Marketing, Public Policy, and Litigation (Edward Elgar), Natalie Mizik and Dominique Hanssens, Eds. Download Paper.

"From clicks to returns: Website Browsing and Product Returns," Ibragimov, Marat, Siham El Kihal, and John R. Hauser (2023), (Cambridge, MA: MIT Sloan School of Management). Download Paper. Appendices.

"Product Aesthetic Design: A Machine Learning Augmentation," Burnap, Alex, John R. Hauser, and Artem Timoshenko (2023), Marketing Science, 42(6):1029-1056.

"Leveraging the Power of Images in Predicting Product Return Rates," Dzyabura, Daria, Siham El Kihal, John R. Hauser, and Marat Ibragimov (2023), Marketing Science 42(6):1125-1142.

"Real-time Adaptive Design of Clinical Trials," Liberali, Gui, Eric Boersma, Hester Lingsma, Jasper Brugts, Diederik Dippel, Jan Tijssen, and John R. Hauser (2022), (Rotterdam, NL: Erasmus University). Download Paper. Appendix.

"Identifying Customer Needs from User Generated Content." ​Timoshenko, Artem and John R. Hauser. Marketing Science Vol. 38, No. 1 (2019): 1-20. Download Paper.

Research Interests

  • Machine-learning/artificial-intelligence applications
    • aesthetics in product design
    • customer needs from UGC
    • context-dependent customer needs
    • formulate customer needs using LLMs
    • recommendation systems based on preference learning
    • the identification of new design gaps
  • Consumer decision measurement: conjoint analysis, non-compensatory methods, adaptive methods, machine-learning methods, incentive alignment and realism of stimuli
  • Supply side in conjoint analysis
  • Product forecasting: information acceleration, really-new products
  • Consumer behavior: cognitive simplicity in decision making and in dynamic models, theory-based models, vivid stimuli.
  • Morphing: website, banner, product assortment.
  • Voice of the customer methods, defensive and competitive strategy, new product development, experimental and quasi-experimental methods.
  • Multi-arm bandits to save lives in medical tests

Teaching Interests

  • Listening to the Customer
  • Research Methodology
  • Machine-learning/artificial-intelligence applications
  • New Product and Service Development
  • Marketing Research and experimentation

Informs Fellow

More About John

Publications on Google Scholar

John's Google Scholar page

Applied Marketing Science, Inc.

John R. Hauser is a co-founder and former board member of Applied Marketing Sciences, Inc.

Hyper Morphing Technologies

John R. Hauser is a co-founder and serves on the board of Hyper Morphing Technologies, Inc.