By Topic

The use of meta-analysis in validating the DeLone and McLean information systems success model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hwang, M. ; Texas Univ., Edinburg, TX, USA ; McLean, E.R.

The measurement of systems success is important to any research on information systems. A research study typically uses several dependent measures as surrogates for systems success. These dependent measures are generally treated as outcome variables which, as a group, vary as a function of certain independent variables. Recently, a process perspective has been advocated to measure system success. This process perspective recognizes that some of the dependent measures, along with independent variables, also have an impact on outcome variables. A comprehensive success model has been developed by DeLone and McLean (1992) to group success measures cited in the literature into three categories: quality, use, and impact. This model further predicts that quality affects use, which in turn affects impact. This paper explores the plausibility of using meta-analysis to validate this success model. Advantages of using meta-analysis over other research methodologies in validating process models are examined. Potential problems with meta-analysis in validating this particular success model are discussed. A research plan that utilizes past empirical studies to validate this success model is described

Published in:

System Sciences, 1996., Proceedings of the Twenty-Ninth Hawaii International Conference on ,  (Volume:4 )

Date of Conference:

3-6 Jan 1996