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Factors to Measure the Performance of Private Business Schools in South Africa

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  • R Asvat
  • CA Bisschoff
  • CJ Botha

Abstract

This article identifies the latent variables embedded within the model to measure the performance of private business schools. In the quantitative research design, 247 questionnaires, using a five-point Likert scale, were analysed after completion by private business school supervisors and managers. The data has high reliability with a Cronbach alpha coefficient of 0.974 and excellent sample adequacy with a KMO value of 0.926. The analysis identified ten latent variables (or factors), identified using exploratory factor analysis explaining a cumulative variance of 70.56%. These are Regulatory compliance, Strategic communication, Educational technology stack, Strategic finance, Organisational development, Customer orientation, Sales, Pricing, Socio-political influence and Market focus. The study also succeeded to simplify measuring performance by eliminating 26 questions with low factor loadings (<0.40) or those that are cross-loading highly onto more than one factor from the questionnaire while retaining a satisfactory level of reliability. The results are valuable to private business school managers and to the employees wanting to measure and improve the business performance of a private business school. Researchers and academia could also benefit from the contribution of the study to either build on business performance of private business schools or, alternatively, in adopting the methodology employed in this study for another application setting.

Suggested Citation

  • R Asvat & CA Bisschoff & CJ Botha, 2018. "Factors to Measure the Performance of Private Business Schools in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 50-69.
  • Handle: RePEc:rnd:arjebs:v:10:y:2018:i:6:p:50-69
    DOI: 10.22610/jebs.v10i6(J).2594
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    References listed on IDEAS

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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. Eric A. Hanushek, 2016. "Will more higher education improve economic growth?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 32(4), pages 538-552.
    3. Singh, Deeksha & Pattnaik, Chinmay & Gaur, Ajai S. & Ketencioglu, Elif, 2018. "Corporate expansion during pro-market reforms in emerging markets: The contingent value of group affiliation and diversification," Journal of Business Research, Elsevier, vol. 82(C), pages 220-229.
    4. Soriano, Domingo Ribeiro, 2010. "Management factors affecting the performance of technology firms," Journal of Business Research, Elsevier, vol. 63(5), pages 463-470, May.
    5. Arega Yirdaw, 2016. "Quality of Education in Private Higher Institutions in Ethiopia," SAGE Open, , vol. 6(1), pages 21582440156, January.
    6. Ahmed Shaikh & Christo A. Bisschoff & Christoff J. Botha, 2017. "Identifying Factors to Measure Managerial and Leadership Competence of Business School Educated Managers," International Review of Management and Marketing, Econjournals, vol. 7(5), pages 140-152.
    7. Patil, Vivek H. & Singh, Surendra N. & Mishra, Sanjay & Todd Donavan, D., 2008. "Efficient theory development and factor retention criteria: Abandon the `eigenvalue greater than one' criterion," Journal of Business Research, Elsevier, vol. 61(2), pages 162-170, February.
    8. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    9. Carvalho, Carlos M. & Chang, Jeffrey & Lucas, Joseph E. & Nevins, Joseph R. & Wang, Quanli & West, Mike, 2008. "High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1438-1456.
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    Cited by:

    1. Xiaojie Fan & Hong Liu & Yang Wang & Yawen Wan & Duanhong Zhang, 2022. "Models of Internationalization of Higher Education in Developing Countries—A Perspective of International Research Collaboration in BRICS Countries," Sustainability, MDPI, vol. 14(20), pages 1-24, October.

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