Information, Technology and Information Worker Productivity: Task Level Evidence
In an effort to reveal the fine-grained relationships between IT use, patterns of information flows, and individual information-worker productivity, we study task level practices at a midsize executive recruiting firm. We analyze both project-level and individual-level performance using: (1) detailed accounting data on revenues, compensation, project completion rates, and team membership for over 1300 projects spanning 5 years, (2) direct observation of over 125,000 email messages over a period of 10 months by individual workers, and (3) data on a matched set of the same workers' self-reported IT skills, IT use and information sharing. These detailed data permit us to econometrically evaluate a multistage model of production and interaction activities at the firm, and to analyze the relationships among key technologies, work practices, and output. We find that (a) IT use is positively correlated with non-linear drivers of productivity; (b) the structure and size of workers' communication networks are highly correlated with performance; (c) an inverted-U shaped relationship exists between multitasking and productivity such that, beyond an optimum, more multitasking is associated with declining project completion rates and revenue generation; and (d) asynchronous information seeking such as email and database use promotes multitasking while synchronous information seeking over the phone shows a negative correlation. Overall, these data show statistically significant relationships among technology use, social networks, completed projects, and revenues for project-based information workers. Results are consistent with simple models of queuing and multitasking and these methods can be replicated in other settings, suggesting new frontiers for IT value and social network research.
|Date of creation:||Jun 2007|
|Publication status:||published as Aral, Sinan and Brynjolfsson, Erik and Van Alstyne, Marshall W., Information, Technology and Information Worker Productivity (September 11, 2011). Information Systems Research, Forthcoming. Available at SSRN: http://ssrn.com/abstract=942310|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
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- Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
- Anandhi S. Bharadwaj & Sundar G. Bharadwaj & Benn R. Konsynski, 1999. "Information Technology Effects on Firm Performance as Measured by Tobin's q," Management Science, INFORMS, vol. 45(7), pages 1008-1024, July.
- Eric von Hippel, 1998. "Economics of Product Development by Users: The Impact of "Sticky" Local Information," Management Science, INFORMS, vol. 44(5), pages 629-644, May.
- Dale W. Jorgenson & Kevin J. Stiroh, 2000.
"Raising the Speed Limit: U.S. Economic Growth in the Information Age,"
Brookings Papers on Economic Activity,
Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
- Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: US Economic Growth in the Information Age," OECD Economics Department Working Papers 261, OECD Publishing.
- Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
- Lazear, Edward P, 1979. "Why Is There Mandatory Retirement?," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1261-1284, December.
- Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
- Kenneth J. Arrow, 1962. "The Economic Implications of Learning by Doing," Review of Economic Studies, Oxford University Press, vol. 29(3), pages 155-173.
- Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
- Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
- Brynjolfsson, Erik. & Hitt, Lorin M., 1995. "Paradox lost? : firm-level evidence on the returns to information systems spending," Working papers 3786-95., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Tridas Mukhopadhyay & Surendra Rajiv & Kannan Srinivasan, 1997. "Information Technology Impact on Process Output and Quality," Management Science, INFORMS, vol. 43(12), pages 1645-1659, December. Full references (including those not matched with items on IDEAS)