IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

How Businesses Use Information Technology: Insights for Measuring Technology and Productivity

  • Sang Nguyen
  • B.K. Atrostic

Business use of computers in the United States dates back fifty years. Simply investing in information technology is unlikely to offer a competitive advantage today. Differences in how businesses use that technology should drive differences in economic performance. Our previous research found that one business use – computers linked into networks – is associated with significantly higher labor productivity. In this paper, we extend our analysis with new information about the ways that businesses use their networks. Those data show that businesses conduct a variety of general processes over computer networks, such as order taking, inventory monitoring, and logistics tracking, with considerable heterogeneity among businesses. We find corresponding empirical diversity in the relationship between these on-line processes and productivity, supporting the heterogeneity hypothesis. On-line supply chain activities such as order tracking and logistics have positive and statistically significant productivity impacts, but not processes associated with production, sales, or human resources. The productivity impacts differ by plant age, with higher impacts in new plants. This new information about the ways businesses use information technology yields vital raw material for understanding how using information technology improves economic performance.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: ftp://ftp2.census.gov/ces/wp/2006/CES-WP-06-15.pdf
File Function: First version, 2006
Download Restriction: no

Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 06-15.

as
in new window

Length: 34 pages
Date of creation: Jun 2006
Date of revision:
Handle: RePEc:cen:wpaper:06-15
Contact details of provider: Postal: 4600 Silver Hill Road, Washington, DC 20233
Phone: (301) 763-6460
Fax: (301) 763-5935
Web page: http://www.census.gov/cesEmail:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
  2. Thomas N. Hubbard, 2003. "Information, Decisions, and Productivity: On-Board Computers and Capacity Utilization in Trucking," American Economic Review, American Economic Association, vol. 93(4), pages 1328-1353, September.
  3. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
  4. Trajtenberg, M. & Bresnahan, T.F., 1992. "General Purpose Technologies: "Engines of Growth"," Papers 16-92, Tel Aviv.
  5. Greenman, N. & Mairesse, J., 1996. "Computers and Productivity in France: Some Evidence," Monash Econometrics and Business Statistics Working Papers 15/96, Monash University, Department of Econometrics and Business Statistics.
  6. Randy A. Becker & John Haltiwanger, 2006. "Micro and Macro Data Integration: The Case of Capital," NBER Chapters, in: A New Architecture for the U.S. National Accounts, pages 541-610 National Bureau of Economic Research, Inc.
  7. Robert H Mcguckin & Mary L Streitwieser & Mark E Doms, 1996. "The Effect Of Technology Use On Productivity Growth," Working Papers 96-2, Center for Economic Studies, U.S. Census Bureau.
  8. Kazuyuki Motohashi, 2004. "Firm level analysis of information network use and productivity in Japan," Hi-Stat Discussion Paper Series d03-14, Institute of Economic Research, Hitotsubashi University.
  9. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
  10. 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.
  11. W. Erwin Diewert & Ann Marie Smith, 1994. "Productivity Measurement for a Distribution Firm," NBER Working Papers 4812, National Bureau of Economic Research, Inc.
  12. Sandra E. Black & Lisa M. Lynch, 2005. "Measuring Organizational Capital in the New Economy," NBER Chapters, in: Measuring Capital in the New Economy, pages 205-236 National Bureau of Economic Research, Inc.
  13. Doms, Mark & Dunne, Timothy & Troske, Kenneth R, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 253-90, February.
  14. Arulampalam, W. & Robin A. Naylor & Jeremy P. Smith, 2002. "University of Warwick," Royal Economic Society Annual Conference 2002 9, Royal Economic Society.
  15. Sang Nguyen & B.K. Atrostic, 2005. "Computer Investment, Computer Networks and Productivity," Working Papers 05-01, Center for Economic Studies, U.S. Census Bureau.
  16. George P. Baker & Thomas N. Hubbard, 2003. "Make Versus Buy in Trucking: Asset Ownership, Job Design, and Information," American Economic Review, American Economic Association, vol. 93(3), pages 551-572, June.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:cen:wpaper:06-15. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fariha Kamal)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.