Raveesh Mayya
Assistant Professor of Technology, Operations and Statistics at Leonard N. Stern School of Business
Biography
Leonard N. Stern School of Business
Biography
Raveesh Mayya joined New York University Stern School of Business as an Assistant Professor of Technology, Operations and Statistics in July 2020.
Professor Mayya’s research focuses on technology-enabled platforms, such as online sharing markets or mobile app marketplaces, as the enablers of efficient transactions and mitigators of asymmetric information. He uses a combination of methodologies including econometric analyses, field experiments and machine learning to study issues of interest in mobile platforms, online sharing platforms, smart-TV platforms, online food delivery platforms as well as entrepreneurial platforms such as seed accelerators. Two of his recent research papers investigate a platform provider’s role in mitigating the imbalance between various sides of the platform by introducing policy changes.
Professor Mayya’s research on seed accelerators was chosen as one of the Best Papers at the AOM Annual Meeting in 2019. He has received the Best Doctoral Dissertation Award at Smith School, Best Doctoral Paper in Innovation and Entrepreneurship by the Ed Snider Center, the Frank T. Paine Award for Academic Excellence and the Allan N. Nash Outstanding Doctoral Student Award, the highest doctoral awards at Smith School of Business. He’s also been awarded the prestigious Distinguished Teaching Award by the Smith School. One of his recent working papers on food-delivery platforms has received the 2021 NET Institute grant.
Before joining NYU Stern, Professor Mayya worked with the Mahindra Group in their Group Management Cadre (GMC) leadership pipeline program and with Cisco Systems as a software developer.
Professor Mayya received his Bachelor of Engineering from Visveswaraya Technological University and his MBA from the Faculty of Management Studies, University of Delhi (FMS Delhi). He received his PhD in Information Systems from Smith School of Business, University of Maryland.
Research Focus:
- Platform Self Regulation, Information Privacy, Mechanism Designs, Asymmetric Information
Methodology:
- Econometrics, ML (Deep Learning), Textual Analysis, Field Experiments
Research Interests
- Digital platform policies
- Mobile and online sharing platforms
- Seed accelerators
Courses Taught
- Database Systems
- Information Technology in Business and Society
Academic Background
Ph.D., Information Systems
University of Maryland
M.B.A., General Management
University of Delhi
B.E., Electronics and Communications Engineering
Visveswaraya Technological University
Selected Publications
- 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, Forthcoming
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