Journal ArticleDOI
Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm-Level Empirical Research
Rajiv Kohli,Sarv Devaraj +1 more
TLDR
The results indicate that the sample size, data source, and industry in which the study is conducted influence the likelihood of the study finding greater improvements on firm performance, and the choice of the dependent variable appears to influence the outcome.Abstract:
Payoffs from information technology (IT) continue to generate interest and debate both among academicians and practitioners. The extant literature cites inadequate sample size, lack of process orientation, and analysis methods among the reasons some studies have shown mixed results in establishing a relationship between IT investment and firm performance.In this paper we examine the structural variables that affect IT payoff through a meta analysis of 66 firm-level empirical studies between 1990 and 2000. Employing logistic regression and discriminant analyses, we present statistical evidence of the characteristics that discriminate between IT payoff studies that observed a positive effect and those that did not. In addition, we conduct ordinary least squares (OLS) regression on a continuous measure of IT payoff to examine the influence of structural variables on the result of IT payoff studies.The results indicate that the sample size, data source (firm-level or secondary), and industry in which the study is conducted influence the likelihood of the study finding greater improvements on firm performance. The choice of the dependent variable(s) also appears to influence the outcome (although we did not find support for process-oriented measurement), the type of statistical analysis conducted, and whether the study adopted a cross-sectional or longitudinal design. Finally, we present implications of the findings and recommendations for future research.read more
Citations
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Journal ArticleDOI
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
TL;DR: This chapter discusses Detecting Influential Observations and Outliers, a method for assessing Collinearity, and its applications in medicine and science.
Journal ArticleDOI
Review: information technology and organizational performance: an integrative model of it business value
TL;DR: A model of IT business value is developed based on the resource-based view of the firm that integrates the various strands of research into a single framework and provides a blueprint to guide future research and facilitate knowledge accumulation and creation concerning the organizational performance impacts of information technology.
Journal ArticleDOI
The nature of theory in information systems
TL;DR: The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory, and suggests that the type of theory under development can influence the choice of an epistemological approach.
Journal ArticleDOI
Performance Impacts of Information Technology: Is Actual Usage the Missing Link?
Sarv Devaraj,Rajiv Kohli +1 more
TL;DR: 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 might be a missing link in IT payoff analyses.
Journal ArticleDOI
From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development
Paul A. Pavlou,Omar A. El Sawy +1 more
TL;DR: It is suggested that IS researchers should look beyond the direct effects of firm-level IT infrastructures and focus their attention on how business units can leverage IT functionalities to better reconfigure and execute business processes in turbulent environments.
References
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Book
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