Faculty of Commerce, Law and Management (ETDs)

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    Factors influencing employee retention in the South African manufacturing industry
    (University of the Witwatersrand, Johannesburg, 2022) Masangwana, Asanda; Venter, Robert
    This research project was to look at the relationship between employee development, remuneration, workplace environment and employee retention. In South Africa, many younger workers are willing to change jobs and move on with their careers, and this could be exacerbated by the changing workplace environment. Therefore, it is important to investigate the relationship between employee development, remuneration, workplace environment and employee retention. The key research goals of this study were to see whether there was a link between employee development and retention, to see if there was a link between workplace environment and retention, and to see if there was a link between remuneration and employee retention. The quantitative research method was applied to achieve the research objectives of this study. The quantitative data used in this study was collected by means of an online survey and there were 187 research respondents who are employees in the manufacturing industry in South Africa. The data collected was analysed using SPSS Statistics 28. The study's findings indicate a favourable association between employee development and employee retention in South Africa's manufacturing industry. This result is statistically significant at a 5% level (p-value < 0.001). Further, in South Africa's manufacturing industry, there is also a positive correlation between the workplace environment and employee retention. This result is also statistically significant at a 5% level (p-value < 0.001). In addition, there is a positive relationship between remuneration and employee retention in the manufacturing sector in South Africa. However, this outcome lacks statistical significance at a 5% level (p-value = 0.372). The study recommends promotion of openness in terms information access and reward system for all employees, provision of career development opportunities, performance-based promotions, competitive bonuses and other incentives, and reward of outstanding performance of all employees.
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    The influence of automation on employment in the South African manufacturing industry
    (2021) Mathebula, Nkhensani Nancy
    Orientation: There are emerging uncertainties that automation causes job losses, especially in the manufacturing industry because it is a labour-intensive industry. Motivation of the study: The beverage manufacturing sector is essential because it contributes to the GDP of developing countries, as it is one of contributors of job creation. Purpose of the study: This study aims to identify the influence of automation on the South African beverage manufacturing industry, the objective is to investigate whether automation creates jobs, or it causes job losses. Methodology: This was a qualitative study, where seven semi-structured virtual interviews were conducted to collect data. Purposive sampling was used, the population for this study were employees who are working in the beverage manufacturing industry in Gauteng and Mpumalanga provinces, South Africa. Thematic analysis was used to analyse and interpret collected data. The key findings of the study: The results of this study shows that automation creates new jobs for skilled workers, however, the study revealed that low-skilled workers who do repetitive work are vulnerable to losing their jobs when automation is introduced in the beverage manufacturing industry. The findings of the study also show that, employers upskill and train low skilled workers and old aged workers as a retention plan to reduce job losses workers whenever automation is introduced in the industry .The results of this study show that automation increases production and revenue for beverage manufacturers. Practical and theoretical contribution: Automation should be embraced in the beverage manufacturing industry because it creates jobs, and it increases production and revenue for beverage manufacturing firms. Conclusion: Adoption of automation can be a threat to low skilled workers, although it is able to create new jobs for skilled workers in the industry. Automation enables the beverage manufacturing industry to grow revenue as a result of an increase in production. Recommendations: In accordance with the literature reviewed and the findings of this study, it is recommended that automation be embraced by the beverage manufacturing industry in South Africa since automation would lead to an increase in production and returns in revenue for the manufacturers. It is further recommended that employees in the manufacturing sector be less anxious or less worried about the adoption of automation because automation presents new opportunities to learn new things and it creates new jobs. Based on the findings of this study it is recommended that employers should continue to train and up skill workers whenever automation is introduced in the beverage manufacturing industry in order to preserve jobs across their human resource spectra and affect positively the South African unemployment statistics
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    The influence of automation on employment in the South African manufacturing industry
    (2021) Mathebula, Nkhesani
    Orientation: There are emerging uncertainties that automation causes job losses, especially in the manufacturing industry because it is a labour-intensive industry. Motivation of the study: The beverage manufacturing sector is essential because it contributes to the GDP of developing countries, as it is one of contributors of job creation. Purpose of the study: This study aims to identify the influence of automation on the South African beverage manufacturing industry, the objective is to investigate whether automation creates jobs, or it causes job losses. Methodology: This was a qualitative study, where seven semi-structured virtual interviews were conducted to collect data. Purposive sampling was used, the population for this study were employees who are working in the beverage manufacturing industry in Gauteng and Mpumalanga provinces, South Africa. Thematic analysis was used to analyse and interpret collected data. The key findings of the study: The results of this study shows that automation creates new jobs for skilled workers, however, the study revealed that low-skilled workers who do repetitive work are vulnerable to losing their jobs when automation is introduced in the beverage manufacturing industry. The findings of the study also show that, employers upskill and train low skilled workers and old aged workers as a retention plan to reduce job losses workers whenever automation is introduced in the industry .The results of this study show that automation increases production and revenue for beverage manufacturers. Practical and theoretical contribution: Automation should be embraced in the beverage manufacturing industry because it creates jobs, and it increases production and revenue for beverage manufacturing firms. Conclusion: Adoption of automation can be a threat to low skilled workers, although it is able to create new jobs for skilled workers in the industry. iii Automation enables the beverage manufacturing industry to grow revenue as a result of an increase in production. Recommendations: In accordance with the literature reviewed and the findings of this study, it is recommended that automation be embraced by the beverage manufacturing industry in South Africa since automation would lead to an increase in production and returns in revenue for the manufacturers. It is further recommended that employees in the manufacturing sector be less anxious or less worried about the adoption of automation because automation presents new opportunities to learn new things and it creates new jobs. Based on the findings of this study it is recommended that employers should continue to train and up skill workers whenever automation is introduced in the beverage manufacturing industry in order to preserve jobs across their human resource spectra and affect positively the South African unemployment statistics.