Sotabase

Career

· Jerry Yang and Akiko Yamazaki Professor and Senior Fellow, Stanford University2020–
· Ph.D. in Managerial Economics, Massachusetts Institute of Technology (MIT)1991–
· Professor, Massachusetts Institute of Technology (MIT)1990–2020
· Instructor, Harvard University1985–1994
· Bachelor of Arts in Applied Mathematics, Harvard University1984–
· Master of Science in Applied Mathematics and Decision Sciences, Harvard University1984–

Publications (428)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Big data: the management revolution.
Harvard Business Review · 2012
4,495
cited
Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm-Level Evidence
2002
3,302
cited
The productivity paradox of information technology
CACM · 1993
2,790
cited
Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending
1996
2,506
cited
Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value
MIS Q. · 1996
1,852
cited
Computing Productivity: Firm-Level Evidence
Review of Economics and Statistics · 2003
1,642
cited
Beyond Computation: Information Technology, Organizational Transformation and Business Performance
2000
1,606
cited
Race against the machine : how the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy
2011
1,327
cited
Beyond the productivity paradox
CACM · 1998
1,164
cited
The second machine age: work, progress, and prosperity in a time of brilliant technologies, 1st Edition
2014
1,147
cited
What can machine learning do? Workforce implications
Science · 2017
827
cited
Generative AI at Work
Social Science Research Network · 2023
826
cited
Covid-19 and Remote Work: An Early Look at Us Data
2020
742
cited
Information Technology As A Factor Of Production: The Role Of Differences Among Firms
1995
699
cited
Information Technology and Productivity: A Review of the Literature
Advances in Computing · 1996
689
cited
Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?
International Conference on Interaction Sciences · 2011
657
cited
NBER WORKING PAPER SERIES ARTIFICIAL INTELLIGENCE AND THE MODERN PRODUCTIVITY PARADOX: A CLASH OF EXPECTATIONS AND STATISTICS
2017
614
cited
Toward understanding the impact of artificial intelligence on labor
Proceedings of the National Academy of Sciences of the United States of America · 2019
547
cited
The Rapid Adoption of Data-Driven Decision-Making
2016
504
cited
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