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delone mclean ERP
An Empirical
Test of the
DeLone-McLean
Model of Information
System Success

Abstract
This paper tests the model of information system success proposed by DeLone and McLean using a field study of a mandatory information system. The results show that perceived system quality and perceived information quality are significant predictors of user satisfaction with the system, but not of system use. Perceived system quality was also a significant predictor of system use. User satisfaction was found to be a strong predictor of individual impact, whereas the influence of system use on individual impact was insignificant. ACM Categories: J.1, K.6.2
Keywords:
Information System Success, Information System Quality, System Quality, Information
Quality, User Satisfaction, Use, Individual Impact

Juhani Iivari
University of Oulu

Introduction
Seddon et al. (1999) estimate that the total annual worldwide expenditure on information technology (IT) probably exceeds one trillion US dollars per year and is growing at about 10% annually. At the same time, information systems are pervading almost all aspects of human life. In view of the high investments in IT and its ubiquity, the success of such investments and the quality of the systems developed is of the utmost importance both for research and in practice.
This paper focuses on the success of individual information system applications. Following
Gustafsson et al. (1982), we interpret an information system (IS) as a computer-based system that provides its users with information on specified topics in a certain organizational context. DeLone and
McLean (1992) proposed in their influential paper a framework for IS success measures that distinguishes system quality, information quality, user satisfaction, use, individual impact and organizational impact.
They also suggested a causal model for the success measures. Acknowledgment
I wish to express my gratitude to Minna Perälä, M.Sc.,



References: Adams, D.A., Nelson, R.R. and Todd, P.A. (1992). Amoroso, D.L. and Cheney, P.H. (1991). “Testing a Causal Model of End-User Application Effectiveness,” Journal of Management Information Bagozzi, R.P. (1985). “Expectancy-Value Attitude Models: An Analysis of Critical Theoretical Bailey, J.E. and Pearson, S.W. (1983). “Developing a Tool for Measuring and Analyzing Computer Barki, H. and Hartwick, J. (1989). “Rethinking the Concept of User Involvement,” MIS Quarterly, Barki, H. and Huff, S.L. (1985). “Change, Attitude to Change, and Decision Support System Baroudi, J.J. and Orlikowski, W.J. (1988). “A ShortForm Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use,” Baroudi, J.J., Olson, M.H. and Ives, B. (1986). “An Empirical Study of the Impact of User Cats-Baril, W.L. and Huber, G.P. (1987). “Decision Support Systems for Ill-Structured Problems: An Chau, P.Y.K. (1996). “An Empirical Assessment of a Modified Technology Acceptance Model,” Chin, J.P., Diehl, V.A. and Norman, K.L. (1988). Chin, W.W. (1998). “The Partial Least Squares Approach to Structural Equation Modelling,” in Chin, W.W. and Gopal, A. (1995). “Adoption Intention in GSS: Relative Importance of Chin, W.W. and Lee. M.K.O. (2000). “On the Formation of End-User Computing Satisfaction: Chin, W.W. and Marcolin, B.L., (2001). “The Future of Diffusion Research,” The Data Base for Chin, W.W. and Newsted, P.R. (1999). “Structural Equation Modeling Analysis with Small Samples Davis, F.D. (1989). “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of (1989). “User Acceptance of Computer Technology: A Comparison of Two Theoretical (1992). “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,” Journal of Applied Social Psychology, Vol. 22, pp. 1111-1132. DeLone, W.H. and McLean, E.R. (1992). DeLone, W.H. and McLean, E.R. (2003). “The DeLone and McLean Model of Information

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