Raveesh Mayya
- Assistant Professor of Technology, Operations, and Statistics
Joined Stern 2020
Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-91
New York, NY 10012
About Raveesh Mayya
Professor Raveesh Mayya's research focuses on digital platform policies and platform governance. His work examines technology-enabled platforms, such as online sharing markets or smartphone app stores, as the enablers of efficient transactions and mitigators of asymmetric information. With a deep interest in understanding the repercussions of private policy changes initiated by platforms, his research quantifies both the intended and unintended consequences of such changes. Through his research, he intends to contribute to the regulatory space, while helping to improve the governance aspects of private digital platforms. He also investigates questions about Generative AI technologies with a goal of enabling equitable GenAI utilization in collaborative settings.
Professor Mayya’s research has been featured among the best papers at multiple conferences, including the AOM Annual Meeting, WISE, WHICB, CIST, International Conference of Smart Finance, and ICIS. He has received severalprestigious awards, such as the ISR Reviewer of the year award 2024, Management Science Distinguished Service Award 2023, the Best Doctoral Dissertation Award, the Frank T. Paine Award for Academic Excellence and the Allan N. Nash Outstanding Doctoral Student Award, the highest doctoral awards at the Smith School of Business. He has also been honored with the prestigious Distinguished Teaching Award by the Smith School. Some of his working papers have also received grants, including the NET Institute Summer research grants. He was also chosen as the inaugural Provost’s ECFI Ambassador for the Center for Faculty Advancement at NYU.
Before his Ph.D., Professor Mayya had brief stints in the Mahindra Group and Cisco Systems, both in India. Professor Mayya earned his Bachelor of Engineering from Visveswaraya Technological University (PESIT Bengaluru) and his MBA from the University of Delhi (FMS Delhi). He holds a Ph.D. in Information Systems from Smith School of Business, University of Maryland.
- Technology, Operations, and Statistics Department
- Digital Platform Policies
- Generative AI and Innovation
- Platform Governance
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Economics
- Sharing Economy
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Technology, Operations & Statistics
- Internet Law
- Privacy
- Tech Regulation
- Database Systems
- Information Technology in Business and Society
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Ph.D., Information Systems
University of Maryland
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M.B.A., General Management
University of Delhi
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B.E., Electronics and Communications Engineering
Visveswaraya Technological University
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Mayya R, Li Z (2025)
Growing Platforms by Adding Complementors without a Contract
Information Systems Research (Forthcoming)
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Mayya R, Viswanathan S (2024)
Delaying Informed Consent: An Empirical Investigation of Mobile Apps' Upgrade Decisions
Management Science (Forthcoming)
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Mayya R, Huang P (2025)
Startup Accelerators, Information Asymmetry, and Corporate Venture Capital Investments
Management Science (Forthcoming)
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Mayya R, Ye S, Viswanathan S, and Agarwal R (2021)
Who Forgoes Screening in Online Markets and Why? Evidence from Airbnb
Management Information Systems Quarterly, 2021
Related News and Research
- Joint Research from Professor Raveesh Mayya is highlighted: “SEC Small Business Report Identifies Tools, Strategies to Increase Investor Capital."
- From Pitch to Portfolio: The Role of Startup Accelerators in Reshaping Corporate VC Strategy
- Joint research from Professor Raveesh Mayya is cited: “The Scientist vs. the Machine.”
- Professor Raveesh Mayya interview: “Jiocinema and Disney+ Hotstar Turn to Sensara Because It Can Do What Big Tech Still Can’t.”
- To Upgrade, or Not to Upgrade?