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On the Longitudinal Effects of IT Use on Firm-Level Employment

Author

Listed:
  • Hilal Atasoy

    () (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Rajiv D. Banker

    () (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Paul A. Pavlou

    () (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

Abstract

The effect of information technology (IT) on employment is a crucial question in today’s economy given the increased digitization of work. To analyze the relationship between IT use and firm-level employment, we examine the longitudinal role of IT use in the firm’s total number of employees. Our data set comes from the emerging economy of Turkey, and it represents firms of different sizes and industries. The data capture the firm’s use of enterprise applications, such as enterprise resource planning and customer relationship management, and the use of Web applications, such as e-banking and e-government. Our empirical specifications exploit both within-firm and between-firm variations to show the positive effect of IT use on firm-level employment, which varies across IT applications over time. Interestingly, we find that the effects of the use of enterprise applications materialize after two years, whereas the effects of the use of Web applications are realized in the current year. We also examine whether the role of IT use in firm-level employment are moderated by firm size, average wage rate, and industry technology intensity. The long-term effects of the use of enterprise applications on firm-level employment are more pronounced in larger firms, with higher average wages, and in high-technology industries. The results are robust to alternative specifications and tests that address causality and endogeneity concerns. Implications for research, practice, and public policy are discussed.

Suggested Citation

  • Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
  • Handle: RePEc:inm:orisre:v:27:y:2016:i:1:p:6-26
    DOI: 10.1287/isre.2015.0618
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    File URL: http://dx.doi.org/10.1287/isre.2015.0618
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    References listed on IDEAS

    as
    1. Bia, Michela & Mattei, Alessandra, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 1-20.
    2. Walter Y. Oi & Todd L. Idson, 1999. "Workers Are More Productive in Large Firms," American Economic Review, American Economic Association, vol. 89(2), pages 104-108, May.
    3. Paul Osterman, 1986. "The Impact of Computers on the Employment of Clerks and Managers," ILR Review, Cornell University, ILR School, vol. 39(2), pages 175-186, January.
    4. Peter Weill, 1992. "The Relationship Between Investment in Information Technology and Firm Performance: A Study of the Valve Manufacturing Sector," Information Systems Research, INFORMS, vol. 3(4), pages 307-333, December.
    5. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    6. Curtis P. Armstrong & V. Sambamurthy, 1999. "Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures," Information Systems Research, INFORMS, vol. 10(4), pages 304-327, December.
    7. Param Vir Singh & Yong Tan & Nara Youn, 2011. "A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects," Information Systems Research, INFORMS, vol. 22(4), pages 790-807, December.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. 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, Oxford University Press, vol. 117(1), pages 339-376.
    10. Lorin M. Hitt, 1999. "Information Technology and Firm Boundaries: Evidence from Panel Data," Information Systems Research, INFORMS, vol. 10(2), pages 134-149, June.
    11. Thomas W. Malone, 1987. "Modeling Coordination in Organizations and Markets," Management Science, INFORMS, vol. 33(10), pages 1317-1332, October.
    12. Hilal Atasoy, 2013. "The Effects of Broadband Internet Expansion on Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 66(2), pages 315-345, April.
    13. Chris Forman & Avi Goldfarb & Shane Greenstein, 2012. "The Internet and Local Wages: A Puzzle," American Economic Review, American Economic Association, vol. 102(1), pages 556-575, February.
    14. 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.
    15. Sidney E. Harris & Joseph L. Katz, 1991. "Organizational Performance and Information Technology Investment Intensity in the Insurance Industry," Organization Science, INFORMS, vol. 2(3), pages 263-295, August.
    16. Abhay Nath Mishra & Ritu Agarwal, 2010. "Technological Frames, Organizational Capabilities, and IT Use: An Empirical Investigation of Electronic Procurement," Information Systems Research, INFORMS, vol. 21(2), pages 249-270, June.
    17. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1055-1089.
    18. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    19. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use," Information Systems Research, INFORMS, vol. 18(2), pages 173-192, June.
    20. Neeraj Mittal & Barrie R. Nault, 2009. "Research Note ---Investments in Information Technology: Indirect Effects and Information Technology Intensity," Information Systems Research, INFORMS, vol. 20(1), pages 140-154, March.
    21. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    22. Todd R. Zenger & William S. Hesterly, 1997. "The Disaggregation of Corporations: Selective Intervention, High-Powered Incentives, and Molecular Units," Organization Science, INFORMS, vol. 8(3), pages 209-222, June.
    23. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    24. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    25. Prasanna Tambe & Lorin M. Hitt, 2012. "The Productivity of Information Technology Investments: New Evidence from IT Labor Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 599-617, September.
    26. Hall, Bronwyn H, 1987. "The Relationship between Firm Size and Firm Growth in the U.S. Manufacturing Sector," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 583-606, June.
    27. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    28. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    29. 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.
    30. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
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    Cited by:

    1. Biagi, Federico & Falk, Martin, 2017. "The impact of ICT and e-commerce on employment in Europe," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 1-18.
    2. Hüseyin Taştan & Feride Gönel, 2020. "ICT labor, software usage, and productivity: firm-level evidence from Turkey," Journal of Productivity Analysis, Springer, vol. 53(2), pages 265-285, April.
    3. Biagi, Federico & Falk, Martin, 2017. "The Impact of ICT and E-Commerce Activities on Employment in Europe," Ratio Working Papers 285, The Ratio Institute.

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