An Empirical Study of the Casual Relationship Between IT Investment and Firm Performance

The promise of increased competitive advantage has been the driving force behind the large-scale investment in information technology IT over the last three decades. There is a continuing debate among executives and academics as to the measurable benefits of this investment. The return on investment ROI and other performance measures reported in the academic literature indicate conflicting empirical findings. Many previous studies have based their conclusions on the statistical correlation between IT capital investment and firm performance data of the same time period. In this study we argue that the causal relationship between IT investment and firm performance could not be reliably established through concurrent IT and performance data. We further submit that it would be more convincing to infer causality if the IT investments in the preceding years are significantly correlated with the performance of a firm in the subsequent year. Using the Granger causality models and three samples of firm level financial data, we found no statistical evidence that IT investments have caused the improvement of financial performance of the firms in the samples. On the contrary, the causal models suggest that improved financial performance over consecutive years may have contributed to the increase of IT investment in the subsequent year. Implications of these findings, as well as directions for future studies, are discussed.

[1]  D. A. Kenny,et al.  Correlation and causality , 1979 .

[2]  M. Porter,et al.  How Information Gives You Competitive Advantage , 1985 .

[3]  Sabyasachi Mitra,et al.  Analyzing Cost-Effectiveness of Organizations: The Impact of Information Technology Spending , 1996, J. Manag. Inf. Syst..

[4]  Arun Rai,et al.  Technology investment and business performance , 1997, CACM.

[5]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[6]  Michael Hammer,et al.  Reengineering Work: Don’t Automate, Obliterate , 1990 .

[7]  C. Sims Money, Income, and Causality , 1972 .

[8]  Vijay Sethi,et al.  Development of measures to assess the extent to which an information technology application provides competitive advantage , 1994 .

[9]  Lorin M. Hitt,et al.  Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value , 1996, MIS Q..

[10]  C. Granger Investigating Causal Relations by Econometric Models and Cross-Spectral Methods , 1969 .

[11]  F. McFarlan,et al.  Corporate Information Systems Management: Issues Facing Senior Executives , 1995 .

[12]  Erik Brynjolfsson,et al.  The Contribution of Information Technology to Consumer Welfare , 1996, Inf. Syst. Res..

[13]  Erik Brynjolfsson,et al.  The productivity paradox of information technology , 1993, CACM.

[14]  Paul Alpar,et al.  A Microeconomic Approach to the Measurement of Information Technology Value , 1990, J. Manag. Inf. Syst..

[15]  P. Holland Statistics and Causal Inference , 1985 .

[16]  P. Osterman The Impact of Computers on the Employment of Clerks and Managers , 1986 .

[17]  Andrew B. Whinston,et al.  Discovery and Representation of Causal Relationships in MIS Research: A Methodological Framework , 1997, MIS Q..

[18]  Mo Adam Mahmood,et al.  Measuring the Organizational Impact of Information Technology Investment: An Exploratory Study , 1993, J. Manag. Inf. Syst..

[19]  James C. Wetherbe,et al.  Key Issues in Information Systems Management: 1994-95 SIM Delphi Results , 1996, MIS Q..