Research
Here is my research, including published and working papers. If you'd like to see some of the work in progress, please feel free to email me at: vineet.kumar@yale.edu
Publications
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Can Random Friends Seed More Buzz and Adoption? Leveraging the Friendship Paradox, with K. Sudhir, (Management Science, Fast Track) (Accepted) (PDF)
- Health Care Workers' Reluctance to Take the Covid-19 Vaccine: A Consumer- Marketing Approach to Identifying and Overcoming Hesitancy, with Brita Roy and Arjun Venkatesh, (New England Journal of Medicine Catalyst, Dec 2020) (PDF)
- Designing Pricing Strategy for Operational and Technological Change, with Yacheng Sun, Management Science, June 2020) (PDF)
- Estimating Dynamic Discrete Choice Models with Aggregate Data: Properties of the Inclusive Value Approximation, with Tim Derdenger, (Quantitative Marketing and Economics, Lead Article, Dec 2019) (PDF)
- Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods without the Curse of Dimensionality, with Cheng Chou and Tim Derdenger (Marketing Science, Sep-Oct 2019) (PDF)
- Match Your Own Price? Self-Matching as a Multichannel Retailer's Pricing Strategy, with Pavel Kireyev and Elie Ofek (Marketing Science, Nov-Dec 2017) (PDF)
- Commentary on "Predicting Customer Value using Clumpiness" with Kannan Srinivasan (Marketing Science, Mar-Apr 2015) (PDF)
- Structural models of Complementary Choices, with Steve Berry, Ahmed Khwaja, Andres Musalem, Ken Wilbur, Greg Allenby, Bharat Anand, Pradeep Chintagunta, Michael Hanemann, Przemek Jeziorski and Angelo Mele. (Choice Symposium Invited Submission from Marketing Letters, Sep 2014) (PDF)
- Making Freemium Work, (Harvard Business Review, May 2014) (PDF)
- The Dynamic Effects of Bundling as a Product Strategy, with Tim Derdenger (Marketing Science, Lead Article in Nov-Dec 2013) (PDF)
- Competitive Product Strategy for Open Source Software, with Brett Gordon and Kannan Srinivasan. (Marketing Science, Nov-Dec 2011) (PDF)
Working Papers
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Designing Freemium: Strategic Balancing of Growth and Monetization, with Clarence Lee and Sunil Gupta (Major Revision at Marketing Science) (PDF)
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Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing, with Soheil Ghili (Major Revision at Management Science) (PDF)
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Can Willingness to Pay be Identified without Price Variation? What Big Data on Usage Tracking Can (And Cannot) Tell Us, with Cheng Chou (Major Revision at Marketing Science) (PDF)
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Fairness for AUC via Feature Augmentation, with Hortense Fong, Anay Mehrotra and Nisheeth Vishnoi (Revising for Resubmission at Management Science) (PDF)
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Network Interventions Based on Inversity: Leveraging the Friendship Paradox in Unknown Network Structures, with David Krackhardt and Scott Feld (PDF)
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A Theory-Based Interpretable Deep Learning Architecture for Music Emotion, with Hortense Fong and K. Sudhir (PDF)
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Automatically Discovering Unknown Product Attributes Impacting Consumer Preferences, with Ankit Sisodia and Alex Burnap (PDF)
Current Research in Progress
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Nonparametric Multi-Armed Bandits Informed By Economic Theory: An Application to Dynamic Pricing under Incomplete Information, with Ian Weaver
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Targeting Digital Ads based on Emotion, with Hortense Fong and Ravi Dhar
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Dynamics of Product Line Sequencing, with Tim Derdenger