Bibliography: p. 221-229. / Currently, the Coloured population group constitutes approximately 55 percent of the total population of the Cape Peninsula and is growing at a rate of nearly 3 percent per annum. Since 1960, they are playing an increasingly important role in the construction industry of the Cape Peninsula and in terms of the Government's labour policy, are to replace Black labour entirely in this region in the long run. Presently, documented research literature on behavioural aspects of Coloured labour is scarcely available. Behavioural research literature available to South African industrialists is predominantly directed towards either Black labour of this country or labour of European and American countries. This information proved to be insufficient as a theoretical base for effective motivation of Coloured workers to participate in industrial activities and to perform at a high level in their work. For the most efficient utilization of the fast-growing Coloured labour potential of the Cape Peninsula, extensive scientific research into factors influencing the work-participation and work-performance decisions of this labour group is consequently sorely required. This study sets out to investigate the existence of possible barriers to the effective motivation of Coloured workers employed in the construction industry of the Cape Peninsula. It was felt that with a knowledge of the nature of existing motivational barriers and their stimulating factors, industrialists will be in a more favourable position to introduce incentive - schemes and to create conditions at work that will improve the present level of motivation of their Coloured employees.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/13844 |
| Date | January 1979 |
| Creators | Beukes, Edward Peter |
| Publisher | University of Cape Town, Faculty of Engineering and the Built Environment, Department of Mechanical Engineering |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Master Thesis, Masters, MIndAdmin |
| Format | application/pdf |
Page generated in 0.0181 seconds