Introduction to Information Systems Quality Framwork

18 Jan

Before I begin writing my blog, I would just like to qualify the research done by Agblogail in his blog ‘Blueprint for Developing a Framework for Evaluating IS Quality’ I have also conducted by own research into what quality, information systems and framework is.
An information system is the collection of technical and human resources that provide the storage, computing, distribution, and communication for the information required by all or some part of an enterprise . [1]

Quality is achieved “by strict and consistent commitment to certain standards that achieve uniformity of a product in order to satisfy specific customer or user requirements.” [2]

Lastly, a framework “in general a framework is a real or conceptual structure intended to serve as a support or guide for the building of something that expands the structure into something useful.”

It is essential that managers develop the correct framework for assessing the quality of their information systems within their organisation. According to Hans van der Heijden (cited in ‘What is information systems quality’) “Information systems have low quality if their data is inaccurate, or is not precise enough, incomplete or outdated.”[4]. If an organisation fails to identify such problems with its information or data it can lead to serious problem not just for employees but also customers of an organisation.

While I also agree with Agblogail that it is important to recognise the various dimensions of Information Systems quality and we need to establish ways to evaluate Information System quality, I would just like to highlight what the causes leading to poor quality information systems. In an article by Strong et al 1997 ‘10 Potholes in the Road to Information Quality’ has come up with 10 causes the result in poor quality information systems.

They are:

1. Multiple sources of the same information produce different values.
2. Information is produced using subjective judgments, leading to bias.
3. Systemic errors in information production lead to lost information
4. Large volumes of stored information make it difficult to access in a reasonable time.
5. Distributed heterogeneous systems lead to inconsistent definitions, formats, and values.
6. Nonnumeric information is difficult to index
7. Automated content analysis across information collections is not yet available.
8. As information consumers’ tasks and the organizational environment change, the information that is relevant and useful changes.
9. Easy access to information may conflict with requirements for security, privacy, and confidentiality
10. Lack of sufficient computing resources limits access.
(http://mitiq.mit.edu/documents/publications/TDQMpub/10potholesIEEEComputerAug97.pdf)

 
[1] http:/whatis.techtarget.com/definition/IS-information-system-or-information-services
[2] http://www.businessdictionary.com/definition/quality.html
[3] http://whatis.techtarget.com/definition/framework
[4] Hans van der Heijden et al (2009) ‘Designing Management Information Systems’. Cited on http://www.ehow.com/facts_7152314_information-system-quality_.html
[5] Strong et al (1997) ‘10 Potholes in the Road to Information Quality’. Available online @ http://mitiq.mit.edu/documents/publications/TDQMpub/10potholesIEEEComputerAug97.pdf

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