John R. Hauser

MIT Sloan School of Management

Kirin Professor of Marketing Co-director

International Center for Research on the Mngmt Tech.

Cambridge, MA 02142

United States

SCHOLARLY PAPERS

20

DOWNLOADS
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SSRN RANKINGS

Top 7,960

in Total Papers Downloads

11,780

TOTAL CITATIONS
Rank 8,156

SSRN RANKINGS

Top 8,156

in Total Papers Citations

175

Scholarly Papers (20)

1.

Research on Innovation: A Review and Agenda for Marketing Science

Marketing Science, Forthcoming
Number of pages: 64 Posted: 11 Jun 2006
John R. Hauser, Gerard J. Tellis and Abbie Griffin
MIT Sloan School of Management, University of Southern California - Marshall School of Business, Department of Marketing and University of Illinois at Urbana-Champaign - Department of Business Administration
Downloads 2,233 (14,460)
Citation 16

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Innovation, new products, consumer innovativeness, diffusion models, network externalities, strategic entry, defensive strategy, ideation, rewards to entrants, metrics

2.

Leveraging the Power of Images in Managing Product Return Rates

Number of pages: 54 Posted: 27 Jul 2018 Last Revised: 30 Sep 2022
New economic school, Vienna University of Economics and Business, MIT Sloan School of Management and Emory University - Goizueta Business School
Downloads 1,663 (23,028)
Citation 5

Abstract:

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machine learning, image processing, deep learning, product returns

'Listening in' to Find Unmet Customer Needs and Solutions

Number of pages: 29 Posted: 11 Oct 2002
Glen L. Urban and John R. Hauser
Massachusetts Institute of Technology (MIT) - Sloan School of Management and MIT Sloan School of Management
Downloads 750 (70,618)
Citation 2

Abstract:

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Product Development, Web-based Virtual Advisors, Purchasing Decisions, Unmet Customer Needs, Truck Town Virtual Advisor

'Listening in' to Find Unmet Customer Needs and Solutions

Number of pages: 39 Posted: 28 Jan 2003
Glen L. Urban and John R. Hauser
Massachusetts Institute of Technology (MIT) - Sloan School of Management and MIT Sloan School of Management
Downloads 738 (72,127)
Citation 5

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Virtual Advisors, Customer Preferences

4.

Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach

Number of pages: 47 Posted: 19 Jul 2019 Last Revised: 03 Mar 2021
Alex Burnap, John R. Hauser and Artem Timoshenko
Yale School of Management, MIT Sloan School of Management and Kellogg School of Management, Northwestern University
Downloads 1,318 (32,604)
Citation 15

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Aesthetics, Generative Adversarial Networks, Generating New Products, Machine Learning, Prelaunch Forecasting, Product Development, Variational Autoencoders.

5.

Identifying Customer Needs from User-Generated Content

Number of pages: 50 Posted: 14 Jun 2017 Last Revised: 16 Jul 2018
Artem Timoshenko and John R. Hauser
Kellogg School of Management, Northwestern University and MIT Sloan School of Management
Downloads 1,290 (33,626)
Citation 79

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Customer Needs, Online Reviews, Machine Learning, Voice of the Customer, User-generated Content, Market Research, Text Mining; Deep Learning, Natural Language Processing

6.

Product Aesthetic Design: A Machine Learning Augmentation

MIT Sloan Research Paper No. 5814-19
Number of pages: 53 Posted: 20 Oct 2022 Last Revised: 15 Nov 2022
Alex Burnap, John R. Hauser and Artem Timoshenko
Yale School of Management, MIT Sloan School of Management and Kellogg School of Management, Northwestern University
Downloads 718 (75,953)

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Aesthetics, Generative Adversarial Networks, Generating New Products, Machine Learning, Prelaunch Forecasting, Product Development, Variational Autoencoders

7.

Learning from Experience, Simply

Marketing Science, Forthcoming
Number of pages: 87 Posted: 24 May 2012 Last Revised: 08 Jan 2015
Song Lin, Juanjuan Zhang and John R. Hauser
Hong Kong University of Science & Technology (HKUST) - Department of Marketing, Massachusetts Institute of Technology (MIT) - Sloan School of Management and MIT Sloan School of Management
Downloads 561 (103,890)
Citation 15

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dynamic consumer learning, structural models, cognitive simplicity, index strategies, heuristics, multi-armed bandit problems, restless bandits, indexability

8.

Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis

Number of pages: 32 Posted: 24 Feb 2003
Olivier Toubia, John R. Hauser and Duncan Simester
MIT Sloan School of Management, MIT Sloan School of Management and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 537 (109,716)
Citation 13

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9.
Downloads 519 (114,444)
Citation 14

Fast Polyhedral Adaptive Conjoint Estimation

Number of pages: 39 Posted: 02 Oct 2001
Olivier Toubia, Duncan Simester and John R. Hauser
MIT Sloan School of Management, Massachusetts Institute of Technology (MIT) - Sloan School of Management and MIT Sloan School of Management
Downloads 260 (245,332)
Citation 2

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Fast Polyhedral Adaptive Conjoint Estimation

Number of pages: 45 Posted: 28 Jan 2003
MIT Sloan School of Management, Massachusetts Institute of Technology (MIT) - Sloan School of Management, MIT Sloan School of Management and University of California, Los Angeles (UCLA) - Department of Urology
Downloads 259 (246,247)
Citation 12

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10.

Soul and Machine (Learning)

NYU Stern School of Business
Number of pages: 17 Posted: 24 Sep 2019 Last Revised: 26 Aug 2020
Marshall School of Business - University of Southern California, MIT Sloan School of Management, New York University (NYU) - Leonard N. Stern School of Business, Harvard University - Business School (HBS), Yale School of Management, Duke University, Fuqua School of Business, Boston University - Questrom School of Business, Amazon, University of Michigan, Stephen M. Ross School of Business, University of Michigan, Stephen M. Ross School of Business, Kellogg School of Management, Northwestern University, affiliation not provided to SSRN and University of Washington
Downloads 423 (146,041)
Citation 7

Abstract:

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Machine learning, marketing

11.

Recommending Products When Consumers Learn Their Preferences

Number of pages: 40 Posted: 19 Jan 2013 Last Revised: 19 Feb 2018
Daria Dzyabura and John R. Hauser
New economic school and MIT Sloan School of Management
Downloads 249 (257,839)
Citation 3

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Search, Constructed preferences, Decision making under uncertainty, Choice models, Learning

12.

Supply Side Considerations When Using Conjoint Analysis in Litigation

Handbook of Marketing Analytics: Methods and Applications in Marketing, Public Policy, and Litigation, (Edward Elgar), Natalie Mizik and Dominique Hanssens, Eds. (2024), MIT Sloan Research Paper Forthcoming
Number of pages: 54 Posted: 22 Jan 2024 Last Revised: 27 Jan 2024
Rene Befurt, Felix Eggers and John R. Hauser
The Analysis Group, Inc., Copenhagen Business School - Department of Marketing and MIT Sloan School of Management
Downloads 236 (271,729)

Abstract:

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Conjoint Analysis, Price Premium in Litigation

13.

Greedoid-Based Noncompensatory Inference

MIT Sloan Research Paper No. 4583-05, Journal of Marketing Science, Forthcoming
Number of pages: 39 Posted: 16 Feb 2006
Michael Yee, Ely Dahan, John R. Hauser and James B. Orlin
Massachusetts Institute of Technology (MIT) - Operations Research Center, University of California, Los Angeles (UCLA) - Department of Urology, MIT Sloan School of Management and Massachusetts Institute of Technology (MIT) - Sloan School of Management
Downloads 231 (277,462)

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Lexicography, Noncompensatory decision rules, Choice heuristics, Optimization methods in marketing, Conjoint analysis, Product development, Consideration sets.

14.

From Click to Purchase to Return: Website Browsing and Product Returns

Number of pages: 41 Posted: 16 Feb 2024 Last Revised: 12 Nov 2024
Marat Ibragimov, Siham El Kihal and John R. Hauser
Emory University - Goizueta Business School, Vienna University of Economics and Business and MIT Sloan School of Management
Downloads 203 (313,776)

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product returns, customer journey, retailing, customer search, clickstream data

15.

Competitive Information, Trust, Brand Consideration and Sales: Two Field Experiments

Number of pages: 53 Posted: 29 Jul 2012
Gui Liberali, Glen L. Urban and John R. Hauser
Erasmus Research Institute of Management (ERIM), Massachusetts Institute of Technology (MIT) - Sloan School of Management and MIT Sloan School of Management
Downloads 109 (524,796)
Citation 1

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Competitive Information, Brand Consideration, Electronic Marketing, Information Search, Signaling, Trust

16.

Can Large Language Models Extract Customer Needs as well as Professional Analysts?

Number of pages: 31
Artem Timoshenko, Chengfeng Mao and John R. Hauser
Kellogg School of Management, Northwestern University, Massachusetts Institute of Technology (MIT) and MIT Sloan School of Management
Downloads 2

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Voice of the Customer, Customer Needs, Marketing Research, Product Development, Innovation, Machine Learning, Generative AI, Large Language Models

17.

Introduction to Theory and Practice in Marketing Conference Special Section of Marketing Science

Marketing Science, Vol. 33, No. 1, 2014; pp. 1-5; DOI: 10.1287/mksc.2013.0830, Columbia Business School Research Paper No. 14-19
Posted: 28 Feb 2014
Harvard University - Business School (HBS), University of California, Los Angeles (UCLA) - Anderson School of Management, MIT Sloan School of Management, Columbia University - Columbia Business School, Marketing and Columbia Business School - International Business

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theory and practice, store brands, banner ads, market growth, retail price, social networks

18.

Editorial — Marketing Science: A Strategic Review

Marketing Science, Vol. 32, No. 1, 2013; pp. 4-7; DOI: 10.1287/mksc.1120.0763
Posted: 12 Nov 2013
University of Chicago, University of California, Los Angeles (UCLA) - Anderson School of Management, MIT Sloan School of Management, University of Pennsylvania - Marketing Department, Carnegie Mellon University and Duke University - Fuqua School of Business

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19.

Internal Customers and Internal Suppliers

Sloan School Working Paper No. 3759
Posted: 02 Sep 1999
John R. Hauser, Duncan Simester and Birger Wernerfelt
MIT Sloan School of Management, Massachusetts Institute of Technology (MIT) - Sloan School of Management and Massachusetts Institute of Technology (MIT) - Sloan School of Management

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20.

Premarket Forecasting of Really New Products

Sloan School Working Paper No. 3689
Posted: 10 Oct 1998
Glen L. Urban, Bruce D. Weinberg and John R. Hauser
Massachusetts Institute of Technology (MIT) - Sloan School of Management, Bentley University - Department of Marketing and MIT Sloan School of Management

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