Chapter 1 will cover the general background on training outside and inside Eskom. It will
scrutinise the existing training programme taking into account the factors that inform this
training. An assessment will also be made of the training strategy that the CED is already
using.
Chapter 2 will present an in-depth literature review that will serve as a guide in
scrutinising training and development of the organisation and the staff. The literature in
question covers coaching, mentoring, staff development, communication as a factor of
training, induction, orientation, skills sharing, training evaluation, training objectives, job
rotation, and skills knowledge. This literature will allow me to compare training in
Eskom with that which is suggested from the literature review. This will be done in order
to recommend solutions for training strategy problems in the CED. Studies touching on
training have been undertaken in the past and this dissertation will also make use of them
as references.
Chapter 3 describes the research methodology used and the method of data collection.
The three groups of staff that have been used to obtain data in the CED Camden Power
Station, namely, discipline engineering managers, senior engineers and graduates in
training, are also discussed.
Chapter 4 presents the data analysis. All the data obtained from questionnaires and
literature is analysed here. The analysis makes use of pie charts to analyse the data
obtained from the respondents.
Chapter 5 covers recommendations and conclusions. Recommendations are made based
on responses to the research questionnaires. Research questionnaires that were used to
obtain data are in the appendices. / Thesis (M.Com.)-University of KwaZulu-Natal, Westville, 2009.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/9496 |
| Date | 22 August 2013 |
| Creators | Sithole, Sabelo Emmanuel. |
| Contributors | Taylor, Robert G., Njenga, Samuel. |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | English |
| Type | Thesis |
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