The main aim of this study was to establish the
biographical and business variables as predictors of
of success of small business' owners in South Africa.
is based on secondary information obtained from the
national venture capital organisation.
value of
the level
The study
files of a
The sample consisted of 569 small business owners active within
435 businesses. The statistical analysis strategy implemented
was aimed at eliminating chance and capitalisation on chance in
an attempt to eventually identify discriminants in a more
accurate, valid and reliable manner. One-way Analyses of
Variance with Bonferroni's Ranges test specified (only ordinal
and interval scale variables) and Chi-square (only nominal scale
variables) were used to initially investigate relationships among
level of success of small business owners and biographical and
business variables. Stepwise Discriminant analyses was then used
to determine the relationship between level of success of small
business owners and biographical/business variables.
Significant differences in the level of success of small business
owners were found for five biographical and seven bus iness
variables. Discriminant analyses was then used to predict level
of success of small business owners by means of the significant
biographical/business variables identified in the first phase of
the statistical analysis (Chi-square, One-way Analyses of
Variance, Stepwise Discriminant Analyses).
The results of the study revealed that certain biographical and
business variables are promising as predictors of the level of
success of small business owners. The results are discussed in
terms of (1) implications for the selection criteria of venture
capital organisations in selecting possible successful small
business owners and (2) future economic policies for South
Africa. / Thesis (M.Com.)-University of Natal, Durban, 1992.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/7829 |
| Date | January 1992 |
| Creators | Schutte, Jasper L. |
| Contributors | Bennett, Hillary. |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | English |
| Type | Thesis |
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