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Factors Affecting Information Technology Usage: A Meta-Analysis of the Empirical Literature

M. Adam Mahmood · Laura Lunstrum Hall · Daniel Leonard Swanberg

196 citations0/0 files storedJournal of Organizational Computing and Electronic Commerce

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Technology Adoption and User Behaviour ERP Systems Implementation and Impact Information Systems Theories and Implementation

Abstract

With an estimated investment of over 1 trillion dollars to date on information technology (IT) products and applications, one would hope that there exists a corresponding improvement in organizational performance and productivity. The level of IT usage has widely been accepted as an important indicator of IT success within organizations. This research synthesizes and validates the construct of IT usage using a meta-analysis. It accomplishes that by analyzing the empirical results of various studies over a period of time covering a broad scope of characteristics of both users and information systems (IS), and it examines the relation between these characteristics and the level of IT usage within organizations. In general, the results of this meta-analysis lead to the conclusion that there exists a strong and significant positive relation between the perception of ease of use and the perceived usefulness of an IT system to the actual amount of usage. Another factor that indicates a high level of IT usage is the organizational support of IT within an enterprise. Although the factors of education level, training level, and professional level were found to have a substantial effect on IT usage, the magnitude of these effects were lower than those of the perceptions of the user and organizational support. Managers and IT professionals may have a better chance of avoiding IT system ineffectiveness and even failure by paying attention to the results of this research, especially in view of the fact that it synthesized and validated the results of a significant number of empirical studies published in some of the best IS journals. Rarely do single research experiments provide definitive answers on which to base policy decisions.

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References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 1992Information Systems Success: The Quest for the Dependent Variable 1988Statistical Methods for Meta-Analysis 1993User acceptance of information technology: system characteristics, user perceptions and behavioral impacts 1994Meta-Analytic Procedures for Social Research.1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior

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2009The impact of technological and organizational implementation of CRM on customer acquisition, maintenance, and retention 2005The relationship between system usage and user satisfaction: a meta‐analysis 2005An exploration of student internet use in India 2015Technology acceptance among pre-service teachers: Does gender matter?2009A review of the factors which influence the use and usefulness of information systems

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