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The Impact of Information Technology on Scientists' Productivity, Quality and Collaboration Patterns

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  • Waverly W. Ding
  • Sharon G. Levin
  • Paula E. Stephan
  • Anne E. Winkler

Abstract

This study advances the prior literature concerning the impact of information technology on productivity in academe in two important ways. First, it utilizes a dataset that combines information on the diffusion of two noteworthy and early innovations in IT -- BITNET and the Domain Name System (DNS) -- with career history data on research-active life scientists. This research design allows for proper identification of the availability of access to IT as well as a means to directly identify causal effects. Second, the fine-grained nature of the data set allows for an investigation of three publishing outcomes: counts, quality, and co-authorship. Our analysis of a random sample of 3,771 research-active life scientists from 430 U.S. institutions over a 25-year period supports the hypothesis of a differential return to IT across subgroups of the scientific labor force. Women scientists, early-to-mid-career scientists, and those employed by mid-to-lower-tier institutions benefit from access to IT in terms of overall research output and an increase in the number of new co-authors they work with. Early-career scientists and those in top-tier institutions gain in terms of research quality when IT becomes available at their campuses.

Suggested Citation

  • Waverly W. Ding & Sharon G. Levin & Paula E. Stephan & Anne E. Winkler, 2009. "The Impact of Information Technology on Scientists' Productivity, Quality and Collaboration Patterns," NBER Working Papers 15285, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15285
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    1. Kim, E. Han & Morse, Adair & Zingales, Luigi, 2009. "Are elite universities losing their competitive edge?," Journal of Financial Economics, Elsevier, vol. 93(3), pages 353-381, September.
    2. Winkler, Anne E. & Glänzel, Wolfgang & Levin, Sharon & Stephan, Paula, 2011. "The Diffusion of Information Technology and the Increased Propensity of Teams to Transcend Institutional and National Borders," IZA Discussion Papers 5857, Institute of Labor Economics (IZA).
    3. Tanya S. Rosenblat & Markus M. Mobius, 2004. "Getting Closer or Drifting Apart?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 971-1009.
    4. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    5. Daniel S. Hamermesh & Sharon M. Oster, 2002. "Tools or Toys? The Impact of High Technology on Scholarly Productivity," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 539-555, October.
    6. Paula E. Stephan & David B. Audretsch (ed.), 2000. "The Economics of Science and Innovation," Books, Edward Elgar Publishing, volume 0, number 1441.
    7. Adair Morse, 2006. "Are elite universities losing their competitive edge?," Proceedings, Federal Reserve Bank of Cleveland.
    8. Franz Barjak, 2006. "The role of the Internet in informal scholarly communication," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(10), pages 1350-1367, August.
    9. Adams, James D. & Black, Grant C. & Clemmons, J. Roger & Stephan, Paula E., 2005. "Scientific teams and institutional collaborations: Evidence from U.S. universities, 1981-1999," Research Policy, Elsevier, vol. 34(3), pages 259-285, April.
    10. Ajay Agrawal & Avi Goldfarb, 2008. "Restructuring Research: Communication Costs and the Democratization of University Innovation," American Economic Review, American Economic Association, vol. 98(4), pages 1578-1590, September.
    11. 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.
    12. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    13. Sharon G. Levin & Paula E. Stephan & Anne E. Winkler, 2012. "Innovation in academe: the diffusion of information technologies," Applied Economics, Taylor & Francis Journals, vol. 44(14), pages 1765-1782, May.
    14. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    15. Maryellen R. Kelley, 1994. "Productivity and Information Technology: The Elusive Connection," Management Science, INFORMS, vol. 40(11), pages 1406-1425, November.
    16. Noam Kaminer & Yale M. Braunstein, 1998. "Bibliometric analysis of the impact of internet use on scholarly productivity," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(8), pages 720-730.
    17. Anne Winkler & Sharon Levin & Paula Stephan, 2010. "The diffusion of IT in higher education: publishing productivity of academic life scientists," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(5), pages 481-503.
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    Cited by:

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    2. Fernanda Leite Lopez de Leon & Ben McQuillin, 2020. "The Role of Conferences on the Pathway to Academic Impact Evidence from a Natural Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 164-193.
    3. Barham, Bradford L. & Foltz, Jeremy D. & Prager, Daniel L., 2014. "Making time for science," Research Policy, Elsevier, vol. 43(1), pages 21-31.
    4. Jason Chan & Anindya Ghose & Robert Seamans, 2013. "The Internet and Hate Crime: Offline Spillovers from Online Access," Working Papers 13-02, NET Institute.
    5. Beland, Louis-Philippe & Murphy, Richard, 2016. "Ill Communication: Technology, distraction & student performance," Labour Economics, Elsevier, vol. 41(C), pages 61-76.
    6. Kessel, Dany & Hardardottir, Hulda Lif & Tyrefors, Björn, 2020. "The impact of banning mobile phones in Swedish secondary schools," Economics of Education Review, Elsevier, vol. 77(C).
    7. Pierre Azoulay & Jeffrey L. Furman & Joshua L. Krieger & Fiona E. Murray, 2012. "Retractions," NBER Working Papers 18499, National Bureau of Economic Research, Inc.
    8. Venturini, Francesco, 2015. "The modern drivers of productivity," Research Policy, Elsevier, vol. 44(2), pages 357-369.

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    More about this item

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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