Information systems success revisited

By William H. DeLone, Ephraim R. McLean. Proceedings of the Annual Hawaii International Conference on System Sciences, 2002

673 citations recorded by the source corpus.

The DeLone & McLean IS Success Model (1992) has become a standard for the specification and justification of the measurement of the dependent variable in information systems research. Attempts to apply and test the model have resulted in both confirmation and challenges. This paper reviews and analyzes over 150 articles which have referenced the model over the past eight years in order to examine what more we have learned about measuring IS success. It highlights recent contributions to IS success measurement and proposes a Reformulated IS Success Model which recognizes and incorporates those contributions. The report concludes with recommendations for future IS success measurement.

Subfields: Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/87626a0a93d194c77e27d90f68c51a624586ac59

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Citations in the corpus

Work System Theory: Overview of Core Concepts, Extensions, and Challenges for the Future (2013, methodology): “In contrast to BoK proposals by Iivari et al. (2004) and Hassan and Mathiassen (2009), it is possible that a BoK for the part of IS field that focuses on IS in organizations might be organized using a 3-dimensional conceptclassification matrix.”
Point of adoption and beyond. Initial trust and mobile-payment continuation intention (2020, positive): “Gao and Waechter (2017) used the ISS model (DeLone and McLean, 2002), which has three quality dimensions — perceived information quality, system quality, and service quality — for identifying the perceived benefits of mobile-based payments.”
Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model (2004, methodology): “This paper is based on the updated DeLone and McLean IS Success Model as revised in 2002 and extended in 2003 [8, 9].”
Collaborative e-Government: impediments and benefits of information-sharing projects in the public sector (2007, result): “By relating perceived impediments to expected benefits, this research directly extends previous work on factors that affect net benefits (DeLone & McLean, 1992, 2002; Seddon, 1997).”
A Factor and Structural Equation analysis of the Enterprise Systems Success Measurement Model (2004, methodology): “S success measurement model deviates from the Delone and McLean IS success model in the following ways: (1) Removal of the Delone and McLean ‘use’ construct; (2) Removal of ‘user satisfaction’ as a dimension of success; (3) Define a more expansive organizational impacts construct; (4) Introduce furt”
An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit) (2008, background): “The multidimensional relationships among the measures of IS success have been tested extensively in a number of IS studies [26].”
Re-conceptualizing Information System Success: The IS-Impact Measurement Model (2008, methodology): “Yet, the ISNet in Figure 2 (consistent with DeLone and McLean (1992) reflects the IT Artifact and Impact at different points in time; preceding and subsequent to Satisfaction and Use.”
Defining Open Source Software Project Success (2003, methodology): “Not surprisingly, much attention has been given to how best to measure it (e.g., DeLone and McLean 1992, 2002, 2003; Rai et al. 2002; Seddon 1997; Seddon et al. 1999).”
Information systems success in free and open source software development: theory and measures (2006, methodology): “Not surprisingly, much attention has been given to how best to measure it (e.g., DeLone & McLean, 1992, 2002, 2003; Rai et al., 2002; Seddon, 1997; Seddon et al., 1999).”