An expanded instrument for evaluating information system success

Abstract Economic and quantitative measures for the success of Information Systems (IS) are difficult to obtain. Researchers and practitioners often rely on subjective assessment and surrogate measures, such as the user information satisfaction (UIS) instrument. The UIS instrument has been widely accepted even though criticized for neglecting the essential issues related to the success of IS. It measures success only indirectly, by assessing the quality of the IS product and related services. By extending the measure of success to also include the development process (standing for the investment costs and efficient use of the resources) and the impact of the IS on the organization (standing for the benefits of the investment), we allow for a more comprehensive and direct assessment of the IS development projects that better conforms to the idea of a traditional cost-benefit analysis, relevant to the managers responsible for the IS investments. Measurement scales for the resulting four dimensions of success—the development process, use process, IS product quality and impact of the IS on the organization—were developed and tested for reliability and validity, by studying the IS development projects in major Finnish companies.

[1]  Markku Sääksjärvi,et al.  Process and product success in information systems development , 1992, J. Strateg. Inf. Syst..

[2]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[3]  Sammy W. Pearson,et al.  Measurement of computer user satisfaction , 1980, PERV.

[4]  Dennis F. Galletta,et al.  Some Cautions on the Measurement of User Information Satisfaction , 1989 .

[5]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[6]  Timo Saarinen,et al.  Procurement Strategies for Information Systems , 1994, J. Manag. Inf. Syst..

[7]  Kalle Lyytinen,et al.  Information systems failures—a survey and classification of the empirical literature , 1988 .

[8]  Wanda J. Orlikowski,et al.  A Short Form Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use , 1987, J. Manag. Inf. Syst..

[9]  Michael E. Treacy,et al.  An Empirical Examination of a Causal Model of User Information Satisfaction , 1985, ICIS.

[10]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[11]  J. P. Peter Reliability: A Review of Psychometric Basics and Recent Marketing Practices , 1979 .

[12]  S. Zionts,et al.  An Interactive Multiple Objective Linear Programming Method for a Class of Underlying Nonlinear Utility Functions , 1983 .

[13]  N. Melone A theoretical assessment of the user-satisfaction construct in information systems research , 1990 .

[14]  Timo Saarinen,et al.  System development methodology and project success: An assessment of situational approaches , 1990, Inf. Manag..

[15]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[16]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[17]  Henry C. Lucas,et al.  Implementation: The Key to Successful Information Systems , 1981 .

[18]  Timo Saarinen,et al.  Managing the risks of information systems implementation , 1993 .

[19]  Niv Ahituv,et al.  Assessing the value of information , 1989, ICIS '89.

[20]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[21]  J. Miller Information systems effectiveness: the fit between business needs and system capabilities , 1989, ICIS '89.

[22]  Hannu Kivijärvi,et al.  Implementing model-oriented decision support systems , 1987 .