dc.contributor.author |
Bruwer, P.J.S.
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dc.date.accessioned |
2018-05-23T15:12:22Z |
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dc.date.available |
2018-05-23T15:12:22Z |
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dc.date.issued |
1983 |
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dc.identifier.citation |
Bruwer, P.J.S. (1983) Evaluating the Performance of Computer-Based Information Systems using a Restricted Linear Regression Model. Quaestiones Informaticae Vol 2 No 3, 1983 |
en |
dc.identifier.issn |
0254-2757 |
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dc.identifier.uri |
http://hdl.handle.net/10500/24051 |
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dc.description.abstract |
Performance evaluation techniques can contribute substantially to the successful management of the information
services function in an organization. Unfortunately the design and implementation of computer-based information
systems have for a long time been (and in some organizations are still being) accepted as being primarily technical
activities. Some of the most serious constraints on the design, installation and use of computer-based systems are
not technical in nature and from the literature it has emerged that many computer-based systems have failed, not
necessarily as a result of poor technical quality, but because certain other important aspects which determine the
success or the failure of a computer-based system have been ignored. The objectives of this study may be summed
up in four main points, viz.:
(i) to investigate the use of computer-based information systems and their success as perceived by the user;
(ii) to determine which factors make the largest contribution to the success of a computerized system;
(iii) to determine, by means of optimizing methods, which factors are the most important to change in order to
obtain optimal improvement in the performance of the information systems; and
(iv) to formulate a model which would enable the management of an organization to apply funds in such a way
that the computerized systems may provide optimum performance. |
en |
dc.language.iso |
en |
en |
dc.publisher |
Computer Society of South Africa (on behalf of SAICSIT) |
en |
dc.title |
Evaluating the Performance of Computer-Based Information Systems using a Restricted Linear Regression Model |
en |
dc.type |
Article |
en |
dc.description.department |
School of Computing |
en |