Increasing competition within the freight transportation market in South Africa has intensified the need for rail industries to identify ways in which to enhance their competitiveness within this market. One of the most important challenges for organisations’ operating in this market is to deliver goods on time, while meeting the needs of customers, at the lowest possible cost. If such organisations are to remain competitive, it may be required of them to shift their focus to their employees. Research has shown that employees render organisations’ with sustainable competitive advantage, more specifically, it has shown that engaged employees surpass disengaged employees. The distinguishing factor for organisations’ in the search of competitive advantage would therefore be an engaged workforce. The primary research objective of this study was to investigate contribution of reward systems to enhanced employee engagement within Transnet Engineering (TE) in Swartkops, Port Elizabeth. A theoretical overview was conducted to evaluate different definitions, engagement theories and factors of reward systems which contribute to enhanced employee engagement. An empirical study was conducted by means of a survey with a questionnaire as data collecting tool. The purpose of the structured questionnaire was to validate the findings obtained from the theoretical overview and to assess employees’ perceptions of reward systems and engagement. Recommendations were made based on the findings of the literature and empirical study. These recommendations will assist the organisation in understanding how reward systems can be used to enhance employee engagement, so that a competitive advantage can be achieved within the freight transportation market.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:28691 |
| Date | January 2017 |
| Creators | Liberty, Chantel Karen |
| 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 | x, 102 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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