"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 Randomization of Clinical Trials," Liberali, Gui, Eric Boersma, Hester Lingsma, Jasper Brugts, Diederik Dippel, Jan Tijssen, and John R. Hauser (2024), (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.

• 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