The industrialised world of today are characterised by transformation and concepts such as downsizing, rightsizing and restructuring have become a reality. South Africa is not excluded from this worldwide phenomenon and economic and political changes, as well as the shrinking labour market, lead to increased job insecurity.
After 1994 local governments were faced with the challenge of high demands for basic services in previously disadvantaged communities, while having limited resources. These
organisations are also affected by the processes of restructuring and transformation, which, in turn, have led to understanding in most departments and, as such, may contribute to job stress. In this study, job insecurity is regarded as a stressor, and its possible relationship with burnout, work engagement and coping is explored. A cross-sectional survey design was used. The Job Insecurity Questionnaire, the Oldenburg Burnout Inventory, the Utrecht Work Engagement Scale and the COPE Questionnaire were administered together with biographical questionnaires. Descriptive and inferential statistics were used to analyse the data. Low levels of job insecurity and burnout and high levels of engagement were found in the study population. Results also indicated that job insecurity is related to burnout, that burnout has a negative correlation with work engagement and coping, and that a positive relationship exists between work engagement and coping. Finally, a regression analysis showed that nine percent of variance in burnout, as measured by the OLBI, is predicted by total job insecurity. Job insecurity can thus partially be used in the prediction of burnout. Limitations in the research are identified and recommendations for future research are made. / Thesis (M.A.)--North-West University, Vaal Triangle Campus, 2005.
| Identifer | oai:union.ndltd.org:NWUBOLOKA1/oai:dspace.nwu.ac.za:10394/2393 |
| Date | January 2004 |
| Creators | Van Greunen, Tiana |
| Publisher | North-West University |
| Source Sets | North-West University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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