Why Information Should Influence Productivity

30 Pages Posted: 24 Jan 2008 Last revised: 28 Oct 2008

See all articles by Nathaniel Bulkley

Nathaniel Bulkley

University of Michigan at Ann Arbor - School of Information

Marshall W. Van Alstyne

Boston University – Questrom School of Business

Date Written: March 18, 2004

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 Classification: D24, D8, L23, L86, M10

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: https://ssrn.com/abstract=518242 or http://dx.doi.org/10.2139/ssrn.518242

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

Marshall W. Van Alstyne (Contact Author)

Boston University – Questrom School of Business ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States
617-358-3571 (Phone)

HOME PAGE: http://questromapps.bu.edu/mgmt_new/Profiles/VanAlstyneMarshall.html

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