Changes in productivity and labour relations: artificial intelligence in the automotive sector in Portugal

Publication Type:

Journal Article

Source:

International Journal of Automotive Technology and Management, Inderscience Publishers, Volume 22, Number 2, p.222-244 (2022)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135149622&doi=10.1504%2fIJATM.2022.124366&partnerID=40&md5=14a1bfb86b1a5fbeb883ab46e6b3416c

Keywords:

Application programs, Artificial intelligence, automotive cluster, Automotive industry, Automotive sector, Automotives, Consumers' preferences, Cybe-physical systems, Cyber Physical System, cyber-physical systems, embedded systems, employment, industry 4.0, Labor Relations, Portugal, Productivity, Reorganisation, Sustainability policy

Abstract:

New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganisation of the automotive cluster. The emergence of artificial intelligence (AI) has the potential to create disruptive effects in the employment systems across the world. The future deployment of broad-spectrum algorithms capable of being used in wide areas of application (e.g., industrial robotics, software and data communication) can lead to considerable changes in current work patterns, swiftly render many unemployed across the globe and profoundly destabilise labour relations. In this paper, we identify the probable penetration of AI in the automotive sector and to study its effects on work organisation, employment, and industrial relations systems, in Portugal. These changes are put in place to enhance the product quality, control costs, and improve productivity. We study these implications on productivity and industrial relations collecting new data and obtain results based on secondary statistical analyses and case studies in the automotive industry. Finally, changes in the productivity and labour market will be discussed considering the employment and skills changes in the automotive sector when investment on automation becomes a clear trend in the automotive sector. Copyright © The Author(s) 2022.

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