Abstract

http://ssrn.com/abstract=1302637
 
 

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Job Hopping, Information Technology Spillovers, and Productivity Growth


Prasanna Tambe


New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Lorin M. Hitt


University of Pennsylvania - Operations & Information Management Department

January 25, 2013

Management Science, Forthcoming

Abstract:     
The movement of information technology (IT) workers among firms is believed to be an important mechanism by which know-how complementary to IT-related innovations diffuses throughout the economy. We use a newly developed source of employee micro-data - online resume databases - to model IT workers’ mobility patterns. We find that firms derive significant productivity benefits from the IT investments of other firms from which they hire IT labor. Our estimates indicate that over the last two decades, productivity spillovers from the IT investments of other firms transmitted through this channel have contributed 20-30% as much to a firm’s productivity growth as the firm’s own IT investments. Evidence for regional IT spillovers disappears when IT labor flows are directly used to measure the spillover pool. These effects are attributable specifically to the flow of IT workers among firms, not other occupations, ruling out some alternative explanations related to the similarity of firms that participate in the same labor flow network.

Number of Pages in PDF File: 32

Keywords: IT spillovers, knowledge spillovers, job-hopping, industry clusters, agglomeration, IT externalities, IT productivity, high-tech clusters, IT workforce

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Date posted: November 18, 2008 ; Last revised: February 27, 2013

Suggested Citation

Tambe, Prasanna and Hitt, Lorin M., Job Hopping, Information Technology Spillovers, and Productivity Growth (January 25, 2013). Management Science, Forthcoming. Available at SSRN: http://ssrn.com/abstract=1302637 or http://dx.doi.org/10.2139/ssrn.1302637

Contact Information

Prasanna Tambe (Contact Author)
New York University (NYU) - Leonard N. Stern School of Business ( email )
44 West 4th Street
New York, NY NY 10012
United States

New York University (NYU) - Department of Information, Operations, and Management Sciences ( email )
44 West Fourth Street
New York, NY 10012
United States
Lorin M. Hitt
University of Pennsylvania - Operations & Information Management Department ( email )
571 Jon M. Huntsman Hall
Philadelphia, PA 19104
United States
215-898-7730 (Phone)
509-267-9192 (Fax)

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