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Evaluating the impact of IT investments on productivity: a causal analysis at industry level

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  • Hu, Qing
  • Quan, Jing “Jim”

Abstract

While many studies have shown positive and significant relationships between IT investments and firm productivity or performance, the question of causality remains: do higher IT investments contribute to better performance or does better performance lead to higher IT investments? In this study, we examine the issue of IT investment impact on productivity using Granger causality model with industry level data over a 30-yr period. Our results suggest that a causal relationship exists between IT investments and productivity at the industry level. IT investments contribute to productivity growth in most of the industries in our sample. In addition, we find a feedback relationship from productivity to IT investments, as suggested by some studies. We postulate that the impact of IT investments on productivity is moderated by the interaction of product information intensity and value-chain information intensity.

Suggested Citation

  • Hu, Qing & Quan, Jing “Jim”, 2005. "Evaluating the impact of IT investments on productivity: a causal analysis at industry level," International Journal of Information Management, Elsevier, vol. 25(1), pages 39-53.
  • Handle: RePEc:eee:ininma:v:25:y:2005:i:1:p:39-53
    DOI: 10.1016/j.ijinfomgt.2004.10.006
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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. Jack E. Triplett, 1999. "The Solow productivity paradox: what do computers do to productivity?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 309-334, April.
    3. 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.
    4. M. Lynne Markus & Daniel Robey, 1988. "Information Technology and Organizational Change: Causal Structure in Theory and Research," Management Science, INFORMS, vol. 34(5), pages 583-598, May.
    5. Geweke, John, 1984. "Inference and causality in economic time series models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 19, pages 1101-1144, Elsevier.
    6. 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.
    7. 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.
    8. Qing Hu & Robert Plant, 2001. "An Empirical Study of the Casual Relationship Between IT Investment and Firm Performance," Information Resources Management Journal (IRMJ), IGI Global, vol. 14(3), pages 15-26, July.
    9. 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. Peng, Jianping & Quan, Jing & Zhang, Guoying & Dubinsky, Alan J., 2016. "Mediation effect of business process and supply chain management capabilities on the impact of IT on firm performance: Evidence from Chinese firms," International Journal of Information Management, Elsevier, vol. 36(1), pages 89-96.
    2. Natallia Pashkevich & Darek M. Haftor, 2020. "Complementarities of Knowledge Worker Productivity: Insights from an Online Experiment of Software Programmers with Innovative Cognitive Style," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(2), June.

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