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Why Information Should Influence Productivity

Nathaniel Bulkley
University of Michigan at Ann Arbor - School of Information

Marshall W. Van Alstyne
Boston University - Department of Management Information Systems; MIT - Center for E-Business


March 18, 2004

MIT Sloan Research Paper No. 4680-08

Abstract:     
After offering a brief historical overview, this article presents a broad set of hypotheses in an effort to connect information to productivity. There are three contributions from this work. First, it distills observations from a diverse literature as prelude to exploring these theories empirically. Second, it applies two concrete models of information value, relating them to the economic definition of productivity, while considering how network structure influences information flow. Third, examples from an ongoing empirical study illustrate each hypothesis to give it practical significance. Interested readers may also test precise interpretations of these theories in an online simulation environment of networked societies.

Keywords: information technology, productivity, information economics, social networks, search

JEL Classifications: D24, D8, L23, L86, M10

Working Paper Series

Date posted: January 24, 2008 ; Last revised: October 28, 2008

Suggested Citation

Bulkley, Nathaniel and Van Alstyne, Marshall W., Why Information Should Influence Productivity (March 18, 2004). MIT Sloan Research Paper No. 4680-08. Available at SSRN: http://ssrn.com/abstract=518242


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Contact Information

Marshall W. Van Alstyne (Contact Author)
Boston University - Department of Management Information Systems ( email )
595 Commonwealth Avenue
Boston, MA 02215
United States
617-358-3571 (Phone)
MIT - Center for E-Business ( email )
77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States
617-253-0768 (Phone)
Nathaniel Bulkley
University of Michigan at Ann Arbor - School of Information ( email )
304 West Hall
550 East University
Ann Arbor, MI 48109-1092
United States
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