Information systems success model

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A representation of the IS success model. Information systems success model.png
A representation of the IS success model.

The information systems success model (alternatively IS success model or Delone and McLean IS success model) is an information systems (IS) theory which seeks to provide a comprehensive understanding of IS success by identifying, describing, and explaining the relationships among six of the most critical dimensions of success along which information systems are commonly evaluated. Initial development of the theory was undertaken by William H. DeLone and Ephraim R. McLean in 1992, [1] and was further refined by the original authors a decade later in response to feedback received from other scholars working in the area. [2] [3] The IS success model has been cited in thousands of scientific papers, and is considered to be one of the most influential theories in contemporary information systems research.

Contents

Dimensions of IS success

The IS success model identifies and describes the relationships among six critical dimensions of IS success: information quality, system quality, service quality, system use/usage intentions, user satisfaction, and net system benefits.

Information quality

Information quality refers to the quality of the information that the system is able to store, deliver, or produce, and is one of the most common dimensions along which information systems are evaluated. Information quality impacts both a user’s satisfaction with the system and the user’s intentions to use the system, which, in turn, impact the extent to which the system is able to yield benefits for the user and organization.

System quality

As with information quality, the overall quality of a system is also one of the most common dimensions along which information systems are evaluated. System quality indirectly impacts the extent to which the system is able to deliver benefits by means of mediational relationships through the usage intentions and user satisfaction constructs.

Service quality

Along with information quality and system quality, information systems are also commonly evaluated according to the quality of service that they are able to deliver. Service quality directly impacts usage intentions and user satisfaction with the system, which, in turn, impact the net benefits produced by the system.

System use/usage intentions

Intentions to use an information system and actual system use are well-established constructs in the information systems literature. In the IS success model system use and usage intentions are influenced by information, system, and service quality. System use is posited to influence a user’s satisfaction with the information system, which, in turn, is posited to influence usage intentions. In conjunction with user satisfaction, system use directly affects the net benefits that the system is able to provide.

User satisfaction

User, and by information, system, and service quality. Like actual system use, user satisfaction directly influences the net benefits provided by an information system. Satisfaction refers to the extent to which a user is pleased or contented with the information system, and is posited to be directly affected by system use.

Net system benefits

The net benefit that an information system is able to deliver is an important facet of the overall value of the system to its users or to the underlying organization. In the IS success model, net system benefits are affected by system use and by user satisfaction with the system. In their own right, system benefits are posited to influence both user satisfaction and a user’s intentions to use the system.

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Project management triangle Model of the constraints of project management

The project management triangle is a model of the constraints of project management. While its origins are unclear, it has been used since at least the 1950s. It contends that:

  1. The quality of work is constrained by the project's budget, deadlines and scope (features).
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Service quality (SQ), in its contemporary conceptualisation, is a comparison of perceived expectations (E) of a service with perceived performance (P), giving rise to the equation SQ=P-E. This conceptualistion of service quality has its origins in the expectancy-disconfirmation paradigm.

The Andersen healthcare utilization model is a conceptual model aimed at demonstrating the factors that lead to the use of health services. According to the model, usage of health services is determined by three dynamics: predisposing factors, enabling factors, and need. Predisposing factors can be characteristics such as race, age, and health beliefs. For instance, an individual who believes health services are an effective treatment for an ailment is more likely to seek care. Examples of enabling factors could be family support, access to health insurance, one's community etc. Need represents both perceived and actual need for health care services. The original model was developed by Ronald M. Andersen, a health services professor at UCLA, in 1968. The original model was expanded through numerous iterations and its most recent form models past the use of services to end at health outcomes and includes feedback loops.

Expectation confirmation theory

Expectation confirmation theory is a cognitive theory which seeks to explain post-purchase or post-adoption satisfaction as a function of expectations, perceived performance, and disconfirmation of beliefs. The structure of the theory was developed in a series of two papers written by Richard L. Oliver in 1977 and 1980. Although the theory originally appeared in the psychology and marketing literatures, it has since been adopted in several other scientific fields, notably including consumer research and information systems, among others.

References

  1. DeLone, W. H.; McLean, E. R. (1992). "Information systems success: the quest for the dependent variable". Information Systems Research. 3 (1): 60–95. doi:10.1287/isre.3.1.60.
  2. DeLone, W. H. and McLean, E. R. (2002). Information Systems Success Revisited. Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS), Big Island, Hawaii, 238-249.
  3. DeLone, W. H.; McLean, E. R. (2003). "The DeLone and McLean Model of Information Systems Success: A Ten-Year Update". Journal of Management Information Systems. 19 (4): 9–30. doi:10.1080/07421222.2003.11045748.