Thesis (MTech (Business Administration (Entrepreneurship))--Cape Peninsula University of Technology, 2017. / Family-owned businesses have long played a significant role in the economies of the developed countries and are rapidly becoming an equally dominant force in those of developing countries. Family businesses are also recognised as a potential driver of economic growth and the creation of wealth throughout the world. The significant contribution which family businesses have been making to the South African economy over the last 300 years is made evident by the fact that approximately 80% of businesses in South Africa could be classified as family businesses and the equally compelling fact that they comprised of the order of 60% of the companies which were listed on the (JSE) Johannesburg Stock Exchange during its infancy.
The main objective of the study was to determine the drivers of planning for succession in family-owned businesses in the township of Gugulethu in Cape Town in South Africa. The study also undertook to investigate the challenges which family-owned businesses encounter as they endeavour to transfer ownership and control from one generation to the next. The fact that although family-owned businesses contribute significantly to the economy, very often they do not survive a generational transition provides ample justification for undertaking to determine the factors which contribute to successful successions. This research study took the form of a real-time, longitudinal study in which the researcher could experience how the succession process unfolds in the family-owned businesses of the respondents and participants who made up the research sample.
The study made use of a mixed methods approach to collect and analyse the data. In the quantitative study, questionnaires were administered to 120 owners and managers of family-owned businesses, while the qualitative data were obtained from in-depth interviews with owners and managers. The quantitative data were analysed using the Statistical Package for the Social Sciences (SPSS) software, while the data which were obtained from the face-to-face interviews were analysed by means of thematic analysis.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:cput/oai:localhost:20.500.11838/2591 |
| Date | January 2017 |
| Creators | Phikiso, Ziyanda, Tengeh, Robertson K |
| Publisher | Cape Peninsula University of Technology |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Rights | http://creativecommons.org/licenses/by-nc-sa/3.0/za/ |
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