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SA Journal of Human Resource Management
On-line version ISSN 2071-078X
Print version ISSN 1683-7584
Abstract
MACPHERSON, Wayne E.; WERNER, Amanda and MEY, Michelle R.. Talent approaches for the South African automotive industry. SAJHRM [online]. 2023, vol.21, pp.1-10. ISSN 2071-078X. http://dx.doi.org/10.4102/sajhrm.v21i0.2224.
ORIENTATION: South African automotive organisations require talented employees to compete both nationally and on a global scale, within the setting of Industry 4.0 RESEARCH PURPOSE: This article was aimed at identifying talent management approaches for South African automotive organisations to ensure the availability of talent for Industry 4.0 talent demands MOTIVATION FOR THIS STUDY: In general, South African organisations struggle with securing, developing and retaining talent, a challenge aggravated by accelerated technological breakthroughs accompanying Industry 4.0 RESEARCH APPROACH/DESIGN AND METHOD: This article reports on the quantitative component of a combined method study conducted in South Africa's automotive industry. Data were collected from operational and human resource management professionals in automotive organisations through convenience sampling MAIN FINDINGS: A greater collaborative effort is required of key stakeholders associated with the automotive industry and within automotive organisations to address the issue of talent in a holistic and focused manner PRACTICAL/MANAGERIAL IMPLICATIONS: The adoption of advanced technologies in the automotive industry necessitates the upskilling and reskilling of current employees, and a renewed focus on attracting talent specifically targeted for Industry 4.0 developments which require collaboration between government, automotive industry, and educational institutions CONTRIBUTION/VALUE-ADD: The article emphasised a holistic approach to talent supply and management for South African automotive organisations in consideration of Industry 4.0, with implications for the government, educational institutions and the automotive industry
Keywords : automotive industry; Industry 4.0; robotics; talent approaches; human-robot collaboration.