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

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

Qing Hu, Robert Plant
Copyright: © 2001 |Pages: 12
DOI: 10.4018/irmj.2001070102
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

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.

Complete Article List

Search this Journal:
Reset
Volume 37: 1 Issue (2024)
Volume 36: 1 Issue (2023)
Volume 35: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 34: 4 Issues (2021)
Volume 33: 4 Issues (2020)
Volume 32: 4 Issues (2019)
Volume 31: 4 Issues (2018)
Volume 30: 4 Issues (2017)
Volume 29: 4 Issues (2016)
Volume 28: 4 Issues (2015)
Volume 27: 4 Issues (2014)
Volume 26: 4 Issues (2013)
Volume 25: 4 Issues (2012)
Volume 24: 4 Issues (2011)
Volume 23: 4 Issues (2010)
Volume 22: 4 Issues (2009)
Volume 21: 4 Issues (2008)
Volume 20: 4 Issues (2007)
Volume 19: 4 Issues (2006)
Volume 18: 4 Issues (2005)
Volume 17: 4 Issues (2004)
Volume 16: 4 Issues (2003)
Volume 15: 4 Issues (2002)
Volume 14: 4 Issues (2001)
Volume 13: 4 Issues (2000)
Volume 12: 4 Issues (1999)
Volume 11: 4 Issues (1998)
Volume 10: 4 Issues (1997)
Volume 9: 4 Issues (1996)
Volume 8: 4 Issues (1995)
Volume 7: 4 Issues (1994)
Volume 6: 4 Issues (1993)
Volume 5: 4 Issues (1992)
Volume 4: 4 Issues (1991)
Volume 3: 4 Issues (1990)
Volume 2: 4 Issues (1989)
Volume 1: 1 Issue (1988)
View Complete Journal Contents Listing