A decision support model to identify causes of human error creating information systems failure
| dc.contributor.advisor | Jooste, J. L. | en_ZA |
| dc.contributor.author | Van Deventer, Lienke | en_ZA |
| dc.contributor.other | Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. | en_ZA |
| dc.date.accessioned | 2016-03-09T14:27:25Z | |
| dc.date.available | 2016-03-09T14:27:25Z | |
| dc.date.issued | 2016-03 | |
| dc.description | Thesis (MEng)--Stellenbosch University, 2016. | en_ZA |
| dc.description.abstract | ENGLISH ABSTRACT: The smooth operation of information systems has a powerful impact on an organisation's financial performance and success. The failure of information systems continues to be an issue for organisations and the human errors connected to these failures are not fully understood nor is there a set of guidelines that can identify these errors and their causes. The study identifies the most common human errors and seeks to ultimately create a decision support model that aids in minimising human errors that result in the failure of information systems. Case studies are used to create a model which can identify relevant human errors. Focus is set upon the different classifications of errors and their possible environments, and then linked to the identified errors. This creates a path to identifying the causes, as well as their solutions. In order to link the causes and solutions to each context, validation is done through the use of surveys. The output is a simple model that can be used by managers to find the causes of human error, rather than treating the symptoms thereof. The model's accuracy is measured with the use of Face validity. | en_ZA |
| dc.description.abstract | AFRIKAANSE OPSOMMING: Inligtingstelsels wat vlot loop het 'n reuse positiewe impak op 'n organisasie se finansiële doelwitte en sukses. Tekortkominge van dié stelsels, en veral die rol van menslike foute daarin, bly steeds 'n probleem. Die rol van menslike foute in falings van inligtingstelsels is steeds onduidelik en daar bestaan nie 'n stel riglyne wat hierdie foute en hul oorsprong kan identifiseer nie. Die studie het ten doel om die mees algemene menslike foute te identifiseer, en 'n besluitnemings-model te skep wat menslike foute se rol in inligtingstelselfalings minimeer. Daar word gefokus op verskillende klassifikasies van foute en die moontlike omgewings waarbinne die foute plaasvind, en dit word verbind met reeds identifiseerde foute. Dit baan die weg om oorsake en oplossings vir stelsel-falings te identifiseer. Vraelys-opnames word gebruik om die geldigheid van die verband tussen oorsaak en oplossing in elke konteks te bevestig. Face validity word implementer om die model te valideer. | af_ZA |
| dc.format.extent | xii, 159 pages | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/10019.1/98505 | |
| dc.language.iso | en_ZA | en_ZA |
| dc.publisher | Stellenbosch : Stellenbosch University | en_ZA |
| dc.rights.holder | Stellenbosch University | en_ZA |
| dc.subject | Information Systems | en_ZA |
| dc.subject | Management information systems -- Human factors | en_ZA |
| dc.subject | Decision support systems | en_ZA |
| dc.subject | Ergonomics | en_ZA |
| dc.subject | UCTD | en_ZA |
| dc.title | A decision support model to identify causes of human error creating information systems failure | en_ZA |
| dc.type | Thesis | en_ZA |