To achieve efficacy in the work place, employees need to perform at optimal levels. Researching and implementing strategies to improve job performance are fundamentally important to the development of the information and communication technology (ICT) sector in South Africa. However, scant research had been performed in this area. This study sought to present exploratory research in this emergent, rapidly expanding sector of the South African economy. Its primary aim was to investigate which affective factors exhibited an influence on job performance of workers in this sector. Mixed methods research was employed to analyse factors contributing to the five independent variables of demographics, skills and education, job satisfaction, motivation and experience, by investigating their influence on the dependent variable of job performance. The five independent variables were presented within a proposed conceptual framework of related and grouped affective factors. An online survey was constructed to collect data and perceptions from individuals currently employed in any capacity, in the ICT sector in South Africa. Ninety-nine suitable responses were received. The simple statistical technique of chi-square testing for independence was used to test the hypothesised relationships between the above-mentioned independent variables and the dependent variable of job performance. The empirical results revealed that many of the affective factors influencing the job performance of employees in the ICT sector in South Africa, are those that contribute to job satisfaction and motivation. These include aspects such as fair remuneration; transparent and clear organisational communication; managerial support and guidance; access to educational and career opportunities; and pleasant workplaces. In view of these findings, the study concluded that organisations that wish to improve their employees’ job performance, or attract and retain high-performing individuals, should formulate and implement policies and strategies that take into account these significant factors.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:8703 |
Date | January 2011 |
Creators | Lascot, Paul Michael John |
Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Thesis, Masters, MBA |
Format | ix, 193 leaves, pdf |
Rights | Nelson Mandela Metropolitan University |
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