Performance Impacts of Information Technology: Is Actual Usage the Missing Link?
The relationship between investment in information technology (IT) and its effect on organizational performance continues to interest academics and practitioners. In many cases, due to the nature of the research design employed, this stream of research has been unable to identify the impact of individual technologies on organizational performance. This study posits that the driver of IT impact is not the investment in the technology, but the actual usage of the technology. This proposition is tested in a longitudinal setting of a healthcare system comprising eight hospitals. Monthly data for a three--year period on various financial and nonfinancial measures of hospital performance and technology usage were analyzed. The data analysis provides evidence for the technology usage--performance link after controlling for various external factors. Technology usage was positively and significantly associated with measures of hospital revenue and quality, and this effect occurred after time lags. The analysis was triangulated using three measures of technology usage. The general support for the principal proposition of this paper that "actual usage" may be a key variable in explaining the impact of technology on performance suggests that omission of this variable may be a missing link in IT payoff analyses.
Volume (Year): 49 (2003)
Issue (Month): 3 (March)
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- Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
- Toni Ashton & David Press, 1997. "Market Concentration in Secondary Health Services Under a Purchaser-Provider Split: The New Zealand Experience," Health Economics, John Wiley & Sons, Ltd., vol. 6(1), pages 43-56.
- Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
- Ramesh Sharda & Steve H. Barr & James C. McDonnell, 1988. "Decision Support System Effectiveness: A Review and an Empirical Test," Management Science, INFORMS, vol. 34(2), pages 139-159, February.
- Zvi Griliches, 1992. "Introduction to "Output Measurement in the Service Sectors"," NBER Chapters,in: Output Measurement in the Service Sectors, pages 1-22 National Bureau of Economic Research, Inc.
- 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.
- Berndt, Ernst R. & Morrison, Catherine J., 1995.
"High-tech capital formation and economic performance in U.S. manufacturing industries An exploratory analysis,"
Journal of Econometrics,
Elsevier, vol. 65(1), pages 9-43, January.
- Berndt, Ernst R. & Morrison, Catherine J., 1992. "High-tech capital formation and economic performance in U.S. manufacturing industries : an exploratory analysis," Working papers 3419-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Byungtae Lee & Anitesh Barua, 1999. "An Integrated Assessment of Productivity and Efficiency Impacts of Information Technology Investments: Old Data, New Analysis and Evidence," Journal of Productivity Analysis, Springer, vol. 12(1), pages 21-43, August.
- Zvi Griliches, 1992. "Output Measurement in the Service Sectors," NBER Books, National Bureau of Economic Research, Inc, number gril92-1.
- Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
- Maryellen R. Kelley, 1994. "Productivity and Information Technology: The Elusive Connection," Management Science, INFORMS, vol. 40(11), pages 1406-1425, November.
- Koski, Heli, 1999. "The implications of network use, production network externalities and public networking programmes for firm's productivity," Research Policy, Elsevier, vol. 28(4), pages 423-439, April.
- Eric Nauenberg & Yuri Andrijuk & Matthew Eisinger, 2001. "Reconsideration of discharge data to measure competition in the hospital industry," Health Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 271-276.
- 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.
- Baba Prasad & Patrick T. Harker, 1997. "Examining the Contribution of Information Technology Toward Productivity and Profitability in U.S. Retail Banking," Center for Financial Institutions Working Papers 97-09, Wharton School Center for Financial Institutions, University of Pennsylvania.
- 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.
- 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.
- Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
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