Emerging Job Categories and Competencies Informing Talent Strategies for Industry 4.0 Automotive Organisations
- Authors: Macpherson, Wayne Elvison
- Date: 2021-12
- Subjects: Automobile industry and trade , Automobiles -- Technological innovations -- South Africa
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/54002 , vital:46174
- Description: The emergence of Industry 4.0 is impacting the world of work and brings along new job categories that require new competency sets. The global shortage of skills is aggravated by the emergence of Industry 4.0 which is set to perpetuate the war for talent with talent being a main driver of business success. The South African automotive industry, being the largest contributor to the country’s GDP and the second largest employer in the country, needed to effectively manage talent to stay relevant and survive in a highly competitive labour market. Given the above, this research investigated emerging job categories and competencies required by automotive organisations for informing Talent Strategies in the context of Industry 4.0. To attain the purpose of the study, a literature study was conducted that explored the evolution of industry and the nature of Industry 4.0 with its associate technologies. A main part of the literature study was dedicated to identifying emerging job categories and competencies associated with Industry 4.0, with specific emphasis on identifying a hybrid competency set. The literature study was supplemented by data mining, semi-structured interviews and an online survey which, in turn, ensured a triangulation approach. Firstly, data mining was employed by consulting scientific and web-based sources to uncover trends in job advertisements relating to emerging job categories and competencies required in Industry 4.0 automotive organisations. Secondly, 30 semi-structured interviews were conducted with experts in the fields of HRM, production and engineering in automotive organisations, to gather their thoughts and views on the extent to which their organisations experienced Industry 4.0, and the influence of Industry 4.0 on both job losses and job creation, competencies employees required and Talent Strategies adopted to ensure the supply of relevant talent. The results from the interviews were qualitatively analysed with the extraction of themes. Lastly, a self-administered online survey was administered to HRM professionals, line-managers, and production professionals in automotive organisations through snowball sampling with 162 usable questionnaires returned. Factor analysis and Cronbach alpha coefficient were utilised to successfully validate the scales used in the study, with technical skills revealing two distinct factors, and Talent Strategies revealing three distinct factors. The results provided evidence of technical, conceptual, human and personal skills required by automotive organisations in the context of Industry 4.0. A high level of differing responses was noted for Talent Strategies, and specially for retention strategies. Based on the results obtained in the study, recommendations were made for informing talent in the South African automotive sector. , Thesis (PhD) -- Faculty of Business and Economic Sciences, 2021
- Full Text:
- Date Issued: 2021-12
- Authors: Macpherson, Wayne Elvison
- Date: 2021-12
- Subjects: Automobile industry and trade , Automobiles -- Technological innovations -- South Africa
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/54002 , vital:46174
- Description: The emergence of Industry 4.0 is impacting the world of work and brings along new job categories that require new competency sets. The global shortage of skills is aggravated by the emergence of Industry 4.0 which is set to perpetuate the war for talent with talent being a main driver of business success. The South African automotive industry, being the largest contributor to the country’s GDP and the second largest employer in the country, needed to effectively manage talent to stay relevant and survive in a highly competitive labour market. Given the above, this research investigated emerging job categories and competencies required by automotive organisations for informing Talent Strategies in the context of Industry 4.0. To attain the purpose of the study, a literature study was conducted that explored the evolution of industry and the nature of Industry 4.0 with its associate technologies. A main part of the literature study was dedicated to identifying emerging job categories and competencies associated with Industry 4.0, with specific emphasis on identifying a hybrid competency set. The literature study was supplemented by data mining, semi-structured interviews and an online survey which, in turn, ensured a triangulation approach. Firstly, data mining was employed by consulting scientific and web-based sources to uncover trends in job advertisements relating to emerging job categories and competencies required in Industry 4.0 automotive organisations. Secondly, 30 semi-structured interviews were conducted with experts in the fields of HRM, production and engineering in automotive organisations, to gather their thoughts and views on the extent to which their organisations experienced Industry 4.0, and the influence of Industry 4.0 on both job losses and job creation, competencies employees required and Talent Strategies adopted to ensure the supply of relevant talent. The results from the interviews were qualitatively analysed with the extraction of themes. Lastly, a self-administered online survey was administered to HRM professionals, line-managers, and production professionals in automotive organisations through snowball sampling with 162 usable questionnaires returned. Factor analysis and Cronbach alpha coefficient were utilised to successfully validate the scales used in the study, with technical skills revealing two distinct factors, and Talent Strategies revealing three distinct factors. The results provided evidence of technical, conceptual, human and personal skills required by automotive organisations in the context of Industry 4.0. A high level of differing responses was noted for Talent Strategies, and specially for retention strategies. Based on the results obtained in the study, recommendations were made for informing talent in the South African automotive sector. , Thesis (PhD) -- Faculty of Business and Economic Sciences, 2021
- Full Text:
- Date Issued: 2021-12
Information technology (IT) measures needed In the automotive industry to prepare for a pandemic
- Authors: Marwayi, Sisanda
- Date: 2022-04
- Subjects: Information technology , Automobile industry and trade
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/57864 , vital:58292
- Description: Information Technology is the application of technology to solve business or organisational problems on a broad scale. The COVID-19 pandemic has brought a standstill to many businesses, including that of the automotive industry, where production was brought to halt, car sales plummeted and automotive industry employees were forced to work remotely. This study sought to understand the measures needed to be taken by the automotive industry in preparation for a pandemic. This study followed a deductive approach and the use of surveys was selected as a data collection tool. At the time of the study, the study population was permanently employed automotive industry employees based in Nelson Mandela Bay, working in administrative departments. These employees had access to ICT tools provided by the targeted company. The study aimed to investigate the IT measures needed by the automotive industry in preparation for a pandemic. More specifically, the study investigated IT infrastructure, financial support and communication, as well as IT skills and training, needed by the automotive industry in the Nelson Mandela Bay area for successful remote working. The empirical results were obtained from 127 automotive industry employees. The aim was to determine the extent of Remote Work Assessment in the Nelson Mandela Bay automotive industry and whether IT infrastructure, Communication, Financial support, IT skills, IT personnel support and IT training were the strongest determinants of measuring IT needs in preparation for a pandemic. The findings of the study indicated that IT infrastructure, Communication, IT skills, IT personnel support and IT training were important determinants of Remote Work Assessment. The study also revealed that only financial support was deemed as an insignificant determinant of Remote Work Assessment. Furthermore, recommendations were made to automotive industry leaders and management to facilitate improved working conditions with government. This can lead to significantly better forecasting and vi measurement of IT needs for future pandemic preparation in the automotive industry in the Nelson Mandela Bay area. , Thesis (MA) -- Faculty of Business and Economic Sciences, 2022
- Full Text:
- Date Issued: 2022-04
- Authors: Marwayi, Sisanda
- Date: 2022-04
- Subjects: Information technology , Automobile industry and trade
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/57864 , vital:58292
- Description: Information Technology is the application of technology to solve business or organisational problems on a broad scale. The COVID-19 pandemic has brought a standstill to many businesses, including that of the automotive industry, where production was brought to halt, car sales plummeted and automotive industry employees were forced to work remotely. This study sought to understand the measures needed to be taken by the automotive industry in preparation for a pandemic. This study followed a deductive approach and the use of surveys was selected as a data collection tool. At the time of the study, the study population was permanently employed automotive industry employees based in Nelson Mandela Bay, working in administrative departments. These employees had access to ICT tools provided by the targeted company. The study aimed to investigate the IT measures needed by the automotive industry in preparation for a pandemic. More specifically, the study investigated IT infrastructure, financial support and communication, as well as IT skills and training, needed by the automotive industry in the Nelson Mandela Bay area for successful remote working. The empirical results were obtained from 127 automotive industry employees. The aim was to determine the extent of Remote Work Assessment in the Nelson Mandela Bay automotive industry and whether IT infrastructure, Communication, Financial support, IT skills, IT personnel support and IT training were the strongest determinants of measuring IT needs in preparation for a pandemic. The findings of the study indicated that IT infrastructure, Communication, IT skills, IT personnel support and IT training were important determinants of Remote Work Assessment. The study also revealed that only financial support was deemed as an insignificant determinant of Remote Work Assessment. Furthermore, recommendations were made to automotive industry leaders and management to facilitate improved working conditions with government. This can lead to significantly better forecasting and vi measurement of IT needs for future pandemic preparation in the automotive industry in the Nelson Mandela Bay area. , Thesis (MA) -- Faculty of Business and Economic Sciences, 2022
- Full Text:
- Date Issued: 2022-04
Technical skills and knowledge transfer for an aging workforce in the automotive industry
- Authors: Mahlalela, Gaven
- Date: 2022-04
- Subjects: Automobile industry and trade , Transportation -- Automotive
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/57771 , vital:58248
- Description: This study highlighted the importance of technical skills, knowledge transfer and its drivers. Organisations face a dilemma when incumbent tacit knowledge owners vacate employment without transferring invaluable intellectual property to other stakeholders (Khumalo, 2012). Once this knowledge is lost, it may be impossible to recover and difficult to hide from competitors (De Long, 2004). Knowledge transfer among employees is a critical enabler of organisational learning. In the context of the South African automotive industry, the volatility of the industry has seen many Original Equipment Manufacturers (OEM) and their suppliers shedding jobs. Furthermore, the replacement of the old automotive training board by the Sector of Education and Training (SETA) has created more complex challenges. Automotive companies are struggling to absorb the financial burden that comes with training skills transfer, due to the reduced workforce that is overloaded by work to cope in the current economic climate. The drivers of technical skills and knowledge transfer were investigated in a particular automotive company in Port Elizabeth, South Africa. A mail survey was directed to 168 technical employees in an automotive manufacturing plant. The survey tested the dependent variable (technical skills and knowledge transfer), and independent variables were its drivers (management of scarce skills, succession planning, trainee characteristics, training design and work environment). The survey had 50 questionnaire items. Statistical analysis was used to analyse the research questions through descriptive statistics, Pearson correlation and multiple regression analysis. The empirical results found that all of the independent variables showed positive correlations with the dependent variable, however succession planning, followed by work environment showed the most significant relationship with technical skills and knowledge transfer in an automotive organisation. , Thesis (MA) -- Faculty of Business and Economic science, 2022
- Full Text:
- Date Issued: 2022-04
- Authors: Mahlalela, Gaven
- Date: 2022-04
- Subjects: Automobile industry and trade , Transportation -- Automotive
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/57771 , vital:58248
- Description: This study highlighted the importance of technical skills, knowledge transfer and its drivers. Organisations face a dilemma when incumbent tacit knowledge owners vacate employment without transferring invaluable intellectual property to other stakeholders (Khumalo, 2012). Once this knowledge is lost, it may be impossible to recover and difficult to hide from competitors (De Long, 2004). Knowledge transfer among employees is a critical enabler of organisational learning. In the context of the South African automotive industry, the volatility of the industry has seen many Original Equipment Manufacturers (OEM) and their suppliers shedding jobs. Furthermore, the replacement of the old automotive training board by the Sector of Education and Training (SETA) has created more complex challenges. Automotive companies are struggling to absorb the financial burden that comes with training skills transfer, due to the reduced workforce that is overloaded by work to cope in the current economic climate. The drivers of technical skills and knowledge transfer were investigated in a particular automotive company in Port Elizabeth, South Africa. A mail survey was directed to 168 technical employees in an automotive manufacturing plant. The survey tested the dependent variable (technical skills and knowledge transfer), and independent variables were its drivers (management of scarce skills, succession planning, trainee characteristics, training design and work environment). The survey had 50 questionnaire items. Statistical analysis was used to analyse the research questions through descriptive statistics, Pearson correlation and multiple regression analysis. The empirical results found that all of the independent variables showed positive correlations with the dependent variable, however succession planning, followed by work environment showed the most significant relationship with technical skills and knowledge transfer in an automotive organisation. , Thesis (MA) -- Faculty of Business and Economic science, 2022
- Full Text:
- Date Issued: 2022-04
- «
- ‹
- 1
- ›
- »