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Evidence-based case selection: an innovation knowledge management method to cluster public technical and vocational education and training colleges in South Africa

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dc.date.accessioned 2019-06-25T07:22:05Z
dc.date.available 2019-06-25T07:22:05Z
dc.date.issued 2019-06-25 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/14076
dc.description.abstract Case studies are core constructs used in information management research. A persistent challenge for business, information management and social science researchers is how to select a representative sample of cases among a population with diverse characteristics when convenient or purposive sampling is not considered rigorous enough. The context of the study is post-school education, and it involves an investigation of quantitative methods of clustering the population of public technical and vocational education and training (TVET) colleges in South Africa into groups with a similar level of maturity in terms of their information systems. The aim of the study was to propose an evidence-based quantitative method for the selection of cases for case study research and to demonstrate the use and usefulness thereof by clustering public TVET colleges. The clustering method was based on the use of a representative characteristic of the context, as a proxy. In this context of management information systems (MISs), website maturity was used as a proxy and website maturity model theory was used in the development of an evaluation questionnaire. The questionnaire was used for capturing data on website characteristics, which was used to determine website maturity. The websites of the 50 public TVET colleges were evaluated by nine evaluators. Multiple statistical techniques were applied to establish inter-rater reliability and to produce clusters of colleges. The analyses revealed three clusters of public TVET colleges based on their website maturity levels. The first cluster includes three colleges with no websites or websites at a low maturity level. The second cluster consists of 30 colleges with websites at an average maturity level. The third cluster contains 17 colleges with websites at a high maturity level. The main contribution to the knowledge domain is an innovative quantitative method employing a characteristic (in this case website maturity) as a proxy for MIS maturity. The method can be applied in quantitative, qualitative and mixed methods research, to group a population and thereby simplify the process of sample selection of cases for further in-depth investigation. en
dc.format.medium Print en
dc.subject KNOWLEDGE MANAGEMENT en
dc.subject TECHNICAL VOCATIONAL EDUCATIONAL TRAINING (TVET) COLLEGES en
dc.title Evidence-based case selection: an innovation knowledge management method to cluster public technical and vocational education and training colleges in South Africa en
dc.type Journal Article en
dc.description.version Y en
dc.ProjectNumber N/A en
dc.Volume 19(1) en
dc.BudgetYear 2019/20 en
dc.ResearchGroup Education and Skills Development en
dc.SourceTitle South African Journal of Information Management en
dc.ArchiveNumber 10908 en
dc.PageNumber Online en
dc.outputnumber 9996 en
dc.bibliographictitle Visser, M., van Biljon, J.A. & Herselman, M. (2019) Evidence-based case selection: an innovation knowledge management method to cluster public technical and vocational education and training colleges in South Africa. <i>South African Journal of Information Management</i>. 19(1):Online. en
dc.publicationyear 2019 en
dc.contributor.author1 Visser, M. en
dc.contributor.author2 van Biljon, J.A. en
dc.contributor.author3 Herselman, M. en


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