A Factor and Structural Equation analysis of the Enterprise Systems Success Measurement Model

By Darshana Sedera, Guy G. Gable, Taizan Chan. Americas Conference on Information Systems, 2004

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Evaluating E-learning systems success: An empirical study (2020, background): “Moodle does not crash frequently Fulfilment TSQ9 Sedera et al. (2004)”
Measuring information systems success: models, dimensions, measures, and interrelationships (2008, background): “A quantitative study also found a significant link between information quality and managerial satisfaction of hardware, software, and support of an information system (Teo & Wong, 1998).”
Organizational impact of system quality, information quality, and service quality (2010, methodology): “While IS use serves as a proxy for benefits in voluntary systems (Seddon, 1997), IS use provides for little variability in mandatory systems and hence can be eliminated (Sedera and Gable, 2004; Petter et al., 2008).”
Re-conceptualizing Information System Success: The IS-Impact Measurement Model (2008, result): “This paper consolidates and extends earlier work of the authors (Gable et al., 2003, Sedera and Gable, 2004) by reconceptualizing IS Success as a multidimensional phenomenon.”