Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/1295
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dc.contributor.authorGreen, Paul
dc.date.accessioned2015-06-25T06:25:41Z
dc.date.available2015-06-25T06:25:41Z
dc.date.issued2014
dc.identifier.citationGreen, P. 2014. A decision making tool for the improvement of service quality at universities. The Clute Institute International Academic Conference.en_US
dc.identifier.urihttp://hdl.handle.net/10321/1295
dc.description.abstractThere have been numerous studies conducted on the evaluation of service quality at universities. However, there remains a deficiency on using a Multi Criteria Decision making approach in determining factors to consider for the improvement of service quality at a university. The purpose of this paper is to report on the use of Analytic Hierarchy Process (AHP) as a decision making tool in determining factors to consider for the improvement of service quality at a university. The study adopted a mixed method methodology and an action research approach was employed. A purposive convenient sample of 30 participants was used. Data was collected via questionnaires and face-to-face interviews. The data was captured in the software Expert Choice and the results were processed by taking the aggregated group judgements as the geometric mean of the individual comparisons. The findings reveal that organisational and educational issues are paramount to providing an effective service at tertiary institutions.en_US
dc.format.extent9 pen_US
dc.language.isoenen_US
dc.publisherThe Clute Instituteen_US
dc.subjectService Qualityen_US
dc.subjectDecision Making Toolen_US
dc.titleA decision making tool for the improvement of service quality at universitiesen_US
dc.typePresentationen_US
dc.dut-rims.pubnumDUT-004623en_US
local.sdgSDG04-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypePresentation-
item.languageiso639-1en-
Appears in Collections:Research Publications (Accounting and Informatics)
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