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An empirical study of IT as a factor of production: The case of Net-enabled IT assets

Author

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  • Saggi Nevo

    (University at Albany-SUNY)

  • Michael Wade

    (York University)

  • Wade D. Cook

    (York University)

Abstract

A great deal of research in the information systems field has focused on the link between IT and firm-level outputs, like productivity and performance. This paper critically examines the economic assumptions and methodological approaches that underlie much of this work. Three important issues and gaps are identified. First, the functional form of the relationship between IT and firm-level outputs has been inconsistently specified, or overlooked. Second, multiple input and output variables are often arbitrarily combined. Third, the characteristics of IT as a factor of production have not been tested in the era of Net-enabled IT assets. This paper sheds light on these issues by analyzing an appropriate dataset in a two-stage process. In the first stage, data envelopment analysis (DEA) is employed in order to derive a meaningful measure for IT productivity from a compilation of input and output variables. This measure is treated as a dependent variable in a multivariate regression analysis during the second stage. The paper confirms the diminishing marginal productivity and input substitutability of IT for the sub-category of Net-enabled IT assets.

Suggested Citation

  • Saggi Nevo & Michael Wade & Wade D. Cook, 2010. "An empirical study of IT as a factor of production: The case of Net-enabled IT assets," Information Systems Frontiers, Springer, vol. 12(3), pages 323-335, July.
    • Handle: RePEc:spr:infosf:v:12:y:2010:i:3:d:10.1007_s10796-008-9141-0
    DOI: 10.1007/s10796-008-9141-0
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    References listed on IDEAS

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    1. Nirup M. Menon & Byungtae Lee & Leslie Eldenburg, 2000. "Productivity of Information Systems in the Healthcare Industry," Information Systems Research, INFORMS, vol. 11(1), pages 83-92, March.
    2. Rajiv Kohli & Sarv Devaraj, 2003. "Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm-Level Empirical Research," Information Systems Research, INFORMS, vol. 14(2), pages 127-145, June.
    3. 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.
    4. Daniel Robey & Marie-Claude Boudreau, 1999. "Accounting for the Contradictory Organizational Consequences of Information Technology: Theoretical Directions and Methodological Implications," Information Systems Research, INFORMS, vol. 10(2), pages 167-185, June.
    5. Rajiv D. Banker & Sandra A. Slaughter, 2000. "The Moderating Effects of Structure on Volatility and Complexity in Software Enhancement," Information Systems Research, INFORMS, vol. 11(3), pages 219-240, September.
    6. 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.
    7. Vijay Gurbaxani & Nigel Melville & Kenneth Kraemer, 2000. "The Production of Information Services: A Firm-Level Analysis of Information Systems Budgets," Information Systems Research, INFORMS, vol. 11(2), pages 159-176, June.
    8. Kevin Zhu & Kenneth L. Kraemer, 2005. "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," Information Systems Research, INFORMS, vol. 16(1), pages 61-84, March.
    9. Kevin Zhu & Kenneth L. Kraemer, 2002. "e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector," Information Systems Research, INFORMS, vol. 13(3), pages 275-295, September.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Stephan Kudyba & Romesh Diwan, 2002. "Research Report: Increasing Returns to Information Technology," Information Systems Research, INFORMS, vol. 13(1), pages 104-111, March.
    12. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    13. Rajiv D. Banker & Sandra A. Slaughter, 1997. "A Field Study of Scale Economies in Software Maintenance," Management Science, INFORMS, vol. 43(12), pages 1709-1725, December.
    14. 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.
    15. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    16. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    17. 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.
    18. 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.
    19. Pollak, Robert A & Sickles, Robin C & Wales, Terence J, 1984. "The CES-Translog: Specification and Estimation of a New Cost Function," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 602-607, November.
    20. Sanjeev Dewan & Chung-ki Min, 1997. "The Substitution of Information Technology for Other Factors of Production: A Firm Level Analysis," Management Science, INFORMS, vol. 43(12), pages 1660-1675, December.
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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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