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How Does Information Technology Really Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement and Worker Skills

  • Ann P. Bartel
  • Casey Ichniowski
  • Kathryn L. Shaw

This study presents new empirical evidence on the relationship between investments in new computer-based information technology (IT) and productivity by investigating several plant-level mechanisms through which IT could promote productivity growth. We have assembled a data set on plants with a common production technology in a narrowly defined industry - valve manufacturing - to study the effects of new IT on product innovation, production process improvements, employee skills and work practices. The homogeneity of the plants' production processes within this narrowly defined industry together with the estimation of longitudinal models eliminate many sources of unmeasured heterogeneity that could confound productivity comparisons in more aggregate data and in broader samples. The three main results of this study highlight how the adoption of new IT-enhanced machinery involves much more than just the installation of new equipment on the factory floor. We find that adoption of new IT-enhanced equipment (1)alters business strategies, moving valve manufacturers away from commodity production based on long production runs to customized production in smaller batches; (2)improves the efficiency of all stages of the production process with reductions in setup times supporting the change in business strategy and (3)increases the skill requirements of workers while promoting the adoption of new human resource practices.

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File URL: http://www.nber.org/papers/w11773.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11773.

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Date of creation: Nov 2005
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Publication status: published as Bartel, Ann P., Casey Ichniowski and Kathryn Shaw. “How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement and Worker Skills.” The Quarterly Journal of Economics (November 2007).
Handle: RePEc:nbr:nberwo:11773
Note: LS PR
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  1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
  2. Sandra E. Black & Lisa M. Lynch, 1997. "How to Compete: The Impact of Workplace Practices and Information Technology on Productivity," NBER Working Papers 6120, National Bureau of Economic Research, Inc.
  3. David Autor & Lawrence Katz & Alan Krueger, 1997. "Computing Inequality: Have Computers Changed the Labor Market?," Working Papers 756, Princeton University, Department of Economics, Industrial Relations Section..
  4. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
  5. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content Of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, MIT Press, vol. 118(4), pages 1279-1333, November.
  6. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2005. "Growth of U.S. Industries and Investments in Information Technology and Higher Education," NBER Chapters, in: Measuring Capital in the New Economy, pages 403-478 National Bureau of Economic Research, Inc.
  7. Nancy L. Rose & Paul L. Joskow, 1988. "The Diffusion of New Technologies: Evidence from the Electric Utility Industry," Working papers 501, Massachusetts Institute of Technology (MIT), Department of Economics.
  8. Susan Athey & Scott Stern, 2002. "The Impact of Information Technology on Emergency Health Care Outcomes," RAND Journal of Economics, The RAND Corporation, vol. 33(3), pages 399-432, Autumn.
  9. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
  10. Shane Greenstein & Timothy F. Bresnahan, 2001. "special issue: The economic contribution of information technology: Towards comparative and user studies," Journal of Evolutionary Economics, Springer, vol. 11(1), pages 95-118.
  11. Ernst R. Berndt & Catherine J. Morrison & Larry S. Rosenblum, 1992. "High-Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries: An Exploratory Analysis," NBER Working Papers 4010, National Bureau of Economic Research, Inc.
  12. Brynjolfsson, Erik & Hitt, Lorin M., 2004. "Computing Productivity: Firm-Level Evidence," Working papers 4210-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.
  13. Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February.
  14. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Trends in U.S. Wage Inequality: Re-Assessing the Revisionists," NBER Working Papers 11627, National Bureau of Economic Research, Inc.
  15. Milgrom, Paul & Roberts, John, 1990. "The Economics of Modern Manufacturing: Technology, Strategy, and Organization," American Economic Review, American Economic Association, vol. 80(3), pages 511-28, June.
  16. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, And The Demand For Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, MIT Press, vol. 117(1), pages 339-376, February.
  17. Haim Mendelson, 2000. "Organizational Architecture and Success in the Information Technology Industry," Management Science, INFORMS, vol. 46(4), pages 513-529, April.
  18. Brynjolfsson, Erik & Smith, Michael D. & Yu, (Jeffrey) Hu, 2003. "Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers," Working papers 4305-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
  19. Casey Ichniowski & Kathryn Shaw, 2004. "Using "Insider Econometrics" to Study Productivity," American Economic Review, American Economic Association, vol. 94(2), pages 217-223, May.
  20. 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.
  21. 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.
  22. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-18, May.
  23. Eli Berman & John Bound & Zvi Griliches, 1993. "Changes in the Demand for Skilled Labor within U.S. Manufacturing Industries: Evidence from the Annual Survey of Manufacturing," NBER Working Papers 4255, National Bureau of Economic Research, Inc.
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