Prasanna Tambe is an Associate Professor of Operations, Information and Decisions at the Wharton School Operations, Information and Decisions Department. His research focuses on the economics of the high-tech labor force. Some recent research projects focus on understanding how leading firms compensate their high-tech workers, why cities differ in the technical skills available to employers, and how the spread of new technologies impacts careers.
Much of this research has uses Internet data sources to measure skills and labor market activity at novel levels of granularity. His published papers have analyzed data from online job sites, data aggregators, and other labor market intermediaries that generate large databases of fine-grained information on workers’ skills and career paths or on employers’ job requirements. He is a co-author of “The Talent Equation: Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce,” published by McGraw Hill in 2013.
His research has been published or is forthcoming in a number of academic journals including Management Science, Information Systems Research, MIS Quarterly, The Review of Financial Studies, Industrial and Labor Relations Review, Communications of the ACM, and Information Economics and Policy and it has been supported by the Alfred P. Sloan Foundation. His research has also won a number of awards, including the Best Published Paper in Information Systems Research and two papers have been nominees for the Best Published IS Paper in Management Science. He currently serves on the editorial boards of Management Science and Information Systems Research.
Professor Tambe received his S.B. and M.Eng. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and his Ph.D. in Managerial Science and Applied Economics from the Wharton School of the University of Pennsylvania.
- Ph.D. Managerial Economics, Wharton School of Business, University of Pennsylvania, 2008.
Dissertation: “Essays on Information Technology, Labor, and Organizations”
- M.Eng. Electrical Engineering & Computer Science,Massachusetts Institute of Technology, 1997.
- B.S. Electrical Engineering & Computer Science,Massachusetts Institute of Technology, 1996.
Associate Professor of Operations, Information and Decisions
Operations, Information and Decisions
Avgar, A., P. Tambe, and L. Hitt (forthcoming). IT Implementation and Employee Skill Acquisition: The Role of Organizational Complements, MIS Quarterly.
Agrawal, A., P. Tambe (forthcoming). Private Equity and Workers’ Career Outcomes: The Role of Technological Change, The Review of Financial Studies.
Hitt, L., P. Tambe (forthcoming). Healthcare IT, Work Organization, and Nursing Home Performance, Industrial and Labor Relations Review.
Tambe, P. (2016). Why it pays to be where the IT talent already is, MIT Sloan Management Review, Frontiers Blog.
Horton, J. and P. Tambe. (2015). Labor Economists Get Their Microscope: Big Data and Labor Market Analysis, Big Data, 3(3), 1-8.
Tambe, P. (2014). Big Data Investment, Skills, and Firm Value, Management Science, 60(6), 1452–1469.
Tambe, P., L. Hitt. (2014). Measuring Information Technology Spillovers, Information Systems Research, 25(1), 53–71.
Tambe, P., L. Hitt. (2013). Job Hopping, Information Technology Spillovers, and Productivity Growth, Management Science, 60(2), 338–355.
Ferguson,M., L. Hitt, and P. Tambe. (2013). The Talent Equation: Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce, McGraw Hill Publishing.
Tambe, P., L. Hitt. (2012). The Productivity of Information Technology Investments: Evidence from IT Labor Data, Information Systems Research, 23(3-1), 599–617.
Tambe, P., L. Hitt, E. Brynjolfsson. (2012). The Extroverted Firm: How External Information Practices Affect Innovation and Productivity, Management Science, 58(5), 843-859.
Tambe, P., L. Hitt. (2012). Now IT’s Personal: Offshoring and Shifting Skill Composition of the IT Workforce, Management Science, 58(4). 678-697.
Tambe, P., L. Hitt. (2010). How Offshoring Affects IT Workers, Communications of the ACM, 53(10), 62-70.