Essential employee knowledge management and re-skilling within the 4ir in the South African automotive industry towards 2030
- Authors: Hufkie, Brian
- Date: 2021-04
- Subjects: Knowledge management , Technological innovations -- Economic aspects , Automobile industry and trade -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/51556 , vital:43304
- Description: It was the purpose of the study to gain an understanding of what Essential Employee Knowledge Management and Re-Skilling is needed in the South African Automotive Industry towards 2030 with regards to the Fourth Industrial Revolution (4IR). The reason for choosing the South African automotive industry was because the automotive industry is South Africa’s most important manufacturing sector. Nearly one-third of value adding within the domestic business sector is from the contribution, directly or indirectly, of vehicle assembly and automotive component manufacturing. According to Muro and Whiton (2017), advanced automation is already disrupting job futures across the globe and the 4IR technologies will contribute to further impacts upon the labour market, as many routine and rule-based jobs that typically involving low to medium skills become automated. Omarjee (2018), further states that the skills gap and structural unemployment are at an ever-increasing pace of change, which means organisations will face more structural unemployment challenges and which, therefore, amplifies the need for a significant amount of talent development, knowledge management, reskilling and up-skilling required in South Africa towards 4IR readiness. According to Statistics South Africa (Stats SA, 2018), South Africa’s skills challenges are because of complications of socio-economic and socio-historic factors. It is undisputed that 4IR requires a highly skilled workforce, and one which South Africa, regrettably, has been struggling to produce. The report further estimates that 30% of South African workers are unskilled, 46% are semiskilled workers and 24% are skilled workers. Therefore, skilling and reskilling of workers is important in preparing for the 4IR. The study undertook a focused environmental scan of recently published and pertinent articles in the public domain media. The aim, furthermore, was to use the environmental scan to contribute meaningful recommendations to all key stakeholders involved. The environmental scan looked at the macro environment and which included the social, technological, political, economic and the environmental factors influencing the South African automotive industry. Secondly, a qualitative case study approach was used to describe the true experiences of assembly workers and their immediate supervisors in a South African automotive plant. An interpretivism paradigm was applied in line with the case study research methodology. A semi-structured interview guide was developed to obtain primary data through the interviewing process and to test the dependent and independent variables. Using convenience sampling, interviews were set up with identified company related respondents, which included supervisors and blue-collar workers at a South African automotive company. The study results revealed that although some of the respondents did not know what 4IR was, there was agreement amongst those who knew what was involved and why 4IR should happen. The shared understanding was that 4IR involves vast amounts of data that assists in improving processes, systems and services. The study results also indicated that the implementation of automation, robotics and AI within the manufacturing industry had increased the fears of employees in terms of technology application is replacing their jobs. Some of the respondents also perceived a lack of transparency with regards to a structured approach towards a reskilling plan targeting the blue-collar workers’ readiness, in line with the 4IR within the automotive industry. Furthermore, what was clear was that reskilling, training and a retraining was needed within the orgainisation. Based on the overall study results, it appears that there is currently limited observed evidence about the current state of readiness of 4IR awareness and its adoption within a South African automotive industry entity. , Thesis (MA) -- Faculty of Business and Economic Sciences, Business Administration, 2021
- Full Text:
- Date Issued: 2021-04
- Authors: Hufkie, Brian
- Date: 2021-04
- Subjects: Knowledge management , Technological innovations -- Economic aspects , Automobile industry and trade -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/51556 , vital:43304
- Description: It was the purpose of the study to gain an understanding of what Essential Employee Knowledge Management and Re-Skilling is needed in the South African Automotive Industry towards 2030 with regards to the Fourth Industrial Revolution (4IR). The reason for choosing the South African automotive industry was because the automotive industry is South Africa’s most important manufacturing sector. Nearly one-third of value adding within the domestic business sector is from the contribution, directly or indirectly, of vehicle assembly and automotive component manufacturing. According to Muro and Whiton (2017), advanced automation is already disrupting job futures across the globe and the 4IR technologies will contribute to further impacts upon the labour market, as many routine and rule-based jobs that typically involving low to medium skills become automated. Omarjee (2018), further states that the skills gap and structural unemployment are at an ever-increasing pace of change, which means organisations will face more structural unemployment challenges and which, therefore, amplifies the need for a significant amount of talent development, knowledge management, reskilling and up-skilling required in South Africa towards 4IR readiness. According to Statistics South Africa (Stats SA, 2018), South Africa’s skills challenges are because of complications of socio-economic and socio-historic factors. It is undisputed that 4IR requires a highly skilled workforce, and one which South Africa, regrettably, has been struggling to produce. The report further estimates that 30% of South African workers are unskilled, 46% are semiskilled workers and 24% are skilled workers. Therefore, skilling and reskilling of workers is important in preparing for the 4IR. The study undertook a focused environmental scan of recently published and pertinent articles in the public domain media. The aim, furthermore, was to use the environmental scan to contribute meaningful recommendations to all key stakeholders involved. The environmental scan looked at the macro environment and which included the social, technological, political, economic and the environmental factors influencing the South African automotive industry. Secondly, a qualitative case study approach was used to describe the true experiences of assembly workers and their immediate supervisors in a South African automotive plant. An interpretivism paradigm was applied in line with the case study research methodology. A semi-structured interview guide was developed to obtain primary data through the interviewing process and to test the dependent and independent variables. Using convenience sampling, interviews were set up with identified company related respondents, which included supervisors and blue-collar workers at a South African automotive company. The study results revealed that although some of the respondents did not know what 4IR was, there was agreement amongst those who knew what was involved and why 4IR should happen. The shared understanding was that 4IR involves vast amounts of data that assists in improving processes, systems and services. The study results also indicated that the implementation of automation, robotics and AI within the manufacturing industry had increased the fears of employees in terms of technology application is replacing their jobs. Some of the respondents also perceived a lack of transparency with regards to a structured approach towards a reskilling plan targeting the blue-collar workers’ readiness, in line with the 4IR within the automotive industry. Furthermore, what was clear was that reskilling, training and a retraining was needed within the orgainisation. Based on the overall study results, it appears that there is currently limited observed evidence about the current state of readiness of 4IR awareness and its adoption within a South African automotive industry entity. , Thesis (MA) -- Faculty of Business and Economic Sciences, Business Administration, 2021
- Full Text:
- Date Issued: 2021-04
A knowledge management framework for automotive component manufactures in the Eastern Cape
- Authors: Lingham, Nathan
- Date: 2011
- Subjects: Knowledge management , Organisational learning , Automobile industry and trade -- South Africa
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:8606 , http://hdl.handle.net/10948/1592 , Knowledge management , Organisational learning , Automobile industry and trade -- South Africa
- Description: It is estimated that each direct job in the automotive industry supports at least 5 indirect jobs in the global community, resulting in more than 50 million jobs to the global auto industry (Ellis, 2006). In South Africa the automotive sector, as an employer, is widely viewed to be second only to mining. In the automotive industry globally, it is being discovered that knowledge, as opposed to “data” or “information”, is becoming harder to locate as a knowledge-bleed is occurring due to the phenomenon of the “brain drain”, retirement of experienced professionals, changing work behaviours among the younger generations and the general lack of infusion of new talent into the South African automotive industry over the past decade (Liebowitz, 1999). This realisation has spawned a growing interest in the concept of knowledge management (KM). KM is the development of tools, processes, systems, structures and cultures explicitly to improve the creation, sharing and use of knowledge critical for decision making. The effective use of KM helps organisations to improve the quality of their decision making and correspondingly to reduce costs and increase efficiency (Kinicki and Kreitner, 2008). Most automotive Original Equipment Manufacturers (OEMs) have made some attempt at KM initiatives, and these attempts have been well-documented. However, among the automotive component suppliers, limited evidence exists of attempts at KM (Piderit, 2007). No standard KM application framework could be established in the literature for industry practitioners in automotive component manufacturers within the Eastern Cape. The aim of this research study is therefore to develop a framework for the application of KM in automotive component manufacturers within the Eastern Cape. The research consisted of a study of the knowledge management literature and the subsequent development of a knowledge management framework and empirical evaluation of the framework in the automotive component supply industry of the Eastern Cape. In conclusion the report presents a knowledge management framework which converts a company assessment to recommended corrective actions to be implemented and also presents the author’s findings, conclusions and recommendations derived from the study.
- Full Text:
- Date Issued: 2011
- Authors: Lingham, Nathan
- Date: 2011
- Subjects: Knowledge management , Organisational learning , Automobile industry and trade -- South Africa
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:8606 , http://hdl.handle.net/10948/1592 , Knowledge management , Organisational learning , Automobile industry and trade -- South Africa
- Description: It is estimated that each direct job in the automotive industry supports at least 5 indirect jobs in the global community, resulting in more than 50 million jobs to the global auto industry (Ellis, 2006). In South Africa the automotive sector, as an employer, is widely viewed to be second only to mining. In the automotive industry globally, it is being discovered that knowledge, as opposed to “data” or “information”, is becoming harder to locate as a knowledge-bleed is occurring due to the phenomenon of the “brain drain”, retirement of experienced professionals, changing work behaviours among the younger generations and the general lack of infusion of new talent into the South African automotive industry over the past decade (Liebowitz, 1999). This realisation has spawned a growing interest in the concept of knowledge management (KM). KM is the development of tools, processes, systems, structures and cultures explicitly to improve the creation, sharing and use of knowledge critical for decision making. The effective use of KM helps organisations to improve the quality of their decision making and correspondingly to reduce costs and increase efficiency (Kinicki and Kreitner, 2008). Most automotive Original Equipment Manufacturers (OEMs) have made some attempt at KM initiatives, and these attempts have been well-documented. However, among the automotive component suppliers, limited evidence exists of attempts at KM (Piderit, 2007). No standard KM application framework could be established in the literature for industry practitioners in automotive component manufacturers within the Eastern Cape. The aim of this research study is therefore to develop a framework for the application of KM in automotive component manufacturers within the Eastern Cape. The research consisted of a study of the knowledge management literature and the subsequent development of a knowledge management framework and empirical evaluation of the framework in the automotive component supply industry of the Eastern Cape. In conclusion the report presents a knowledge management framework which converts a company assessment to recommended corrective actions to be implemented and also presents the author’s findings, conclusions and recommendations derived from the study.
- Full Text:
- Date Issued: 2011
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