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Investigating the Risk-Return Relationship of Information Technology Investment: Firm-Level Empirical Analysis

Author

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  • Sanjeev Dewan

    (The Paul Merage School of Business, University of California at Irvine, Irvine, California 92697)

  • Charles Shi

    (The Paul Merage School of Business, University of California at Irvine, Irvine, California 92697)

  • Vijay Gurbaxani

    (The Paul Merage School of Business, University of California at Irvine, Irvine, California 92697)

Abstract

This paper develops empirical proxy measures of information technology (IT) risk and incorporates them into the usual empirical models for analyzing IT returns: production function and market value specifications. The results suggest that IT capital investments make a substantially larger contribution to overall firm risk than non-IT capital investments. Further, firms with higher IT risk have a higher marginal product of IT relative to firms with low IT risk. In the market value specification, the impact of IT risk is positive and significant, and inclusion of the IT risk term substantially reduces the coefficient on IT capital. We estimate that about 30% of the gross return on IT investment corresponds to the risk premium associated with IT risk. Taken together, our results show that IT risk provides part of the explanation for the unusually high valuations of IT capital investment in recent research.

Suggested Citation

  • Sanjeev Dewan & Charles Shi & Vijay Gurbaxani, 2007. "Investigating the Risk-Return Relationship of Information Technology Investment: Firm-Level Empirical Analysis," Management Science, INFORMS, vol. 53(12), pages 1829-1842, December.
    • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:12:p:1829-1842
    DOI: 10.1287/mnsc.1070.0739
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    References listed on IDEAS

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    1. Kalle Lyytinen & Lars Mathiassen & Janne Ropponen, 1998. "Attention Shaping and Software Risk—A Categorical Analysis of Four Classical Risk Management Approaches," Information Systems Research, INFORMS, vol. 9(3), pages 233-255, September.
    2. Anandhi S. Bharadwaj & Sundar G. Bharadwaj & Benn R. Konsynski, 1999. "Information Technology Effects on Firm Performance as Measured by Tobin's q," Management Science, INFORMS, vol. 45(7), pages 1008-1024, July.
    3. Siew Hong Teoh & Ivo Welch & T.J. Wong, 1998. "Earnings Management and the Long-Run Market Performance of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 53(6), pages 1935-1974, December.
    4. Robert G. Fichman, 2004. "Real Options and IT Platform Adoption: Implications for Theory and Practice," Information Systems Research, INFORMS, vol. 15(2), pages 132-154, June.
    5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    6. Richard B. Carter & Frederick H. Dark & Ajai K. Singh, 1998. "Underwriter Reputation, Initial Returns, and the Long-Run Performance of IPO Stocks," Journal of Finance, American Finance Association, vol. 53(1), pages 285-311, February.
    7. Michel Benaroch & Robert J. Kauffman, 1999. "A Case for Using Real Options Pricing Analysis to Evaluate Information Technology Project Investments," Information Systems Research, INFORMS, vol. 10(1), pages 70-86, March.
    8. Robert McDonald & Daniel Siegel, 1986. "The Value of Waiting to Invest," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(4), pages 707-727.
    9. Sanjeev Dewan & Fei Ren, 2007. "Risk and Return of Information Technology Initiatives: Evidence from Electronic Commerce Announcements," Information Systems Research, INFORMS, vol. 18(4), pages 370-394, December.
    10. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    11. 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.
    12. Eduardo S. Schwartz & Carlos Zozaya-Gorostiza, 2003. "Investment Under Uncertainty in Information Technology: Acquisition and Development Projects," Management Science, INFORMS, vol. 49(1), pages 57-70, January.
    13. 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.
    14. Re-Jin Guo & Baruch Lev & Charles Shi, 2006. "Explaining the Short- and Long-Term IPO Anomalies in the US by R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(3-4), pages 550-579.
    15. Sanjeev Dewan & Steven C. Michael & Chung-ki Min, 1998. "Firm Characteristics and Investments in Information Technology: Scale and Scope Effects," Information Systems Research, INFORMS, vol. 9(3), pages 219-232, September.
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