Natalia Levina
· Professor of Technology, Operations, and Statistics, Toyota Motor Corporation Term ProfessorNew York University · Technology, Operations, and Statistics Department
Active 1994–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Natalia Levina is a Full Chair Professor at New York University Stern School of Business, where she joined in 2001. She received her Ph.D. in Information Technology from MIT’s Sloan School of Management and holds a B.A. in Computer Science and Mathematics from Boston University, as well as an M.A. in Mathematics from Boston University. Her research focuses on how people span organizational, professional, cultural, and other boundaries while producing and using technological innovations. Currently, her studies include the evaluation and adoption of Artificial Intelligence in medicine and HR, open innovation, theories of smart contracts, and firm-community relationships in crowdsourcing. Prof. Levina is recognized as an innovative teacher, having developed a course on “Digital Innovation & Crowdsourcing,” which has received excellent evaluations across undergraduate, MBA, and Executive MBA programs. She has been nominated for the Best Professor Award by NYU Stern’s EMBA students and is a frequent speaker at academic and industry conferences. Her research has been published in top journals such as Information Systems Research, MIS Quarterly, Organization Science, and Harvard Business Review. She has received numerous awards for her published work, served in editorial roles for leading journals, and held significant positions in academic conferences and research groups. Her contributions to the field have been recognized through various research grants and her appointment as a…
Research topics
- Computer Science
- Artificial Intelligence
- Political Science
- Knowledge management
- Engineering
- Epistemology
- Psychology
- Law
- Sociology
- Social psychology
Selected publications
Organization Science · 2022 · 458 citations
Senior authorCorrespondingArtificial intelligence (AI) technologies promise to transform how professionals conduct knowledge work by augmenting their capabilities for making professional judgments. We know little, however, about how human-AI augmentation takes place in practice. Yet, gaining this understanding is particularly important when professionals use AI tools to form judgments on critical decisions. We conducted an in-depth field study in a major U.S. hospital where AI tools were used in three departments by diag…
MIS Quarterly · 2021 · 299 citations
Organizational decision-makers need to evaluate AI tools in light of increasing claims that such tools outperform human experts. Yet, measuring the quality of knowledge work is challenging, raising the question of how to evaluate AI performance in such contexts. We investigate this question through a field study of a major U.S. hospital, observing how managers evaluated five different machine-learning (ML) based AI tools. Each tool reported high performance according to standard AI accuracy meas…
MIS Quarterly · 2021-09-01 · 49 citations
articleOrganizational decision-makers need to evaluate AI tools in light of increasing claims that such tools outperform human experts. Yet, measuring the quality of knowledge work is challenging, raising the question of how to evaluate AI performance in such contexts. We investigate this question through a field study of a major U.S. hospital, observing how managers evaluated five different machine-learning (ML) based AI tools. Each tool reported high performance according to standard AI accuracy meas…
Diverse Rationalities of Entrepreneurship Education: An Epistemic Stance Perspective
Academy of Management Learning and Education · 2020 · 43 citations
Senior authorCorrespondingThere is a healthy skepticism regarding whether one can learn entrepreneurship in a business classroom setting. One unique challenge of entrepreneurship education is that at least to some degree, entrepreneurship involves disruptions of the usual business rules, norms, and models. Furthermore, entrepreneurship may not conform to the scientific management rationality that is promoted in most management education. This underscores a dilemma: In a business school, how do we teach a discipline that…
MIS Quarterly · 2024-06-01 · 28 citations
articleWe use transaction cost economics (TCE) to define the “digitization of transaction terms” shift parameter that describes the institutional changes associated with increased digitization in society. We then draw on legal scholarship to analyze how strong smart contracts, which refer to agreements with automatic execution and enforcement that are not reversible by courts, rely on a new level of digitization of transaction terms. Specifically, these contracts may rely on standard digital infrastruc…
Recent grants
Frequent coauthors
- 37 shared
Brian S. Butler
University of Maryland Eastern Shore
- 37 shared
Kalle Lyytinen
Case Western Reserve University
- 36 shared
Jr. Richard J. Boland
University of Pittsburgh
- 36 shared
Matt Fineout
Case Western Reserve University
- 36 shared
Wendy Jansen
Breda University of Applied Sciences
- 36 shared
Will Rifkin
- 36 shared
Deborah Dougherty
- 36 shared
John Venable
Curtin University
Education
- 2001
Ph.D., Sloan School of Management
Massachusetts Institute of Technology
Awards & honors
- Best Published Paper of 2021 Award in Information Systems
- Best Published Paper of 2015 Award in Information Systems
- Best Published Paper of 2015 award from the Academy of Manag…
- Best Published Paper of 2014 award from the Academy of Manag…
- Alfred P. Sloan Foundation Industry Studies Fellowship
Similar researchers at New York University
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Natalia Levina
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup