The job diagnostic survey will be used to gather data on job satisfaction and motivation from the chosen data set. This is a structured questionnaire which provides quantitative results. These results wil be used to calculate the motivation potential score for each individual. Statistical methods will then be used to evaluate the results. This information, together with theory such as Hertsberg's 2-factor theory and Hackman and Oldham's job characteristics model will be used to propose ways of enhancing the jobs of graduate South African engineers. This will improve their job satisfaction and motivation allowing companies to attract, retain and gain greater performance from them. / This research has three main purposes. Firstly, it examines the level of job
satisfaction and motivation of engineers and actuaries in South Africa and
compares this with other groups. Secondly it examines the role of job design in
their job satisfaction and motivation. Thirdly, it recommends ways to increase
the level of satisfaction and motivation. The research methodology was based
on Hackman and Oldham’s Job Characteristics Model (JCM) and
accompanying Job Diagnostic Survey. It states that high satisfaction, motivation
and effectiveness will result from the presence of five job characteristics as long
as certain intervening factors are also present.
It was found that Job design, as proposed by the model, does contribute to
satisfaction and motivation. Relative to other groups of employees, actuaries
and engineers in South Africa are satisfied. Of those surveyed, civil engineers
had the highest level of satisfaction and electrical engineers the lowest.
Actuaries scored higher than engineers. The results of this research suggest
organisations should increase feedback to employees and improve
opportunities for growth. Further research should be done on the intervening
factors and the effects of demographic differences within the two groups.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/148 |
| Date | January 2005 |
| Creators | Rusconi, Julian Michael |
| Contributors | Nkomo, S.M. |
| Publisher | Unisa |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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