"Reflections on a Career as a Marketing Engineer."

Hauser, John R. Foundations and Trends in Marketing Vol. 16, No. 1-2 (2022): 116-121. Download Paper.

"Soul and Machine (Learning)."

Proserpio, Davide, John R. Hauser, Tomomichi Amano, Alex Burnap, Tong Guo, Dokiun Lee, Xiao Liu, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. Marketing Letters Vol. 31, No. 4 (2020): 393-404. Download Paper.

"Is Deep Learning a Game Changer for Marketing Analytics?"

Urban, Glen, Artem Timoshenko, Paramveer Dhillon, and John R. Hauser. MIT Sloan Management Review Vol. 61, No. 2 (2020): 71-76. Download Paper.

"Predicting 'Design Gaps' in the Market: Deep Consumer Choice Models under Probabilistic Design Constraints."

Burnap, Alex, and John R. Hauser, MIT Sloan Working Paper 5815-19. Cambridge, MA: MIT Sloan School of Management, January 2020.

"The Strategic Implications of Scale in Choice-Based Conjoint Analysis."

Hauser, John R., Felix Eggers, and Matthew Selove. Marketing Science Vol. 38, No. 6 (2019): 1059-1081. Appendices.

"Recommending Products When Consumers Learn their Preference Weights."

Dzyabura, Daria and John R. Hauser. Marketing Science Vol. 38, No. 3 (2019): 417-441. Download Paper.