Original Research

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

Margaretha M. Visser, Judith A. van Biljon, Marlien Herselman
SA Journal of Information Management | Vol 19, No 1 | a751 | DOI: https://doi.org/10.4102/sajim.v19i1.751 | © 2017 Margaretha M. Visser, Judith A. van Biljon, Marlien Herselman | This work is licensed under CC Attribution 4.0
Submitted: 03 April 2016 | Published: 22 March 2017

About the author(s)

Margaretha M. Visser, Education and Skills Development Research Programme, Human Sciences Research Council, South Africa
Judith A. van Biljon, College of Science, Engineering and Technology, School of Computing, University of South Africa, South Africa
Marlien Herselman, College of Science, Engineering and Technology, School of Computing, University of South Africa, South Africa; Council for Scientific and Industrial Research, University of South Africa, South Africa


Share this article

Bookmark and Share

Abstract

Background: 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.

Objectives: 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.

Method: 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.

Results: 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.

Conclusion: 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.


Keywords

case study selection; website characteristics; TVET College; South Africa; web maturity model; sample selection

Metrics

Total abstract views: 2306
Total article views: 2471


Crossref Citations

No related citations found.