John R. Hauser
John R. Hauser
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
More About John
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.