Smart use of manual work

Opportunities and limits of automation (lessons from the German and Hungarian automotive industry)

Csaba Makó, Hungarian Academy of Sciences
Miklós Illéssy, Hungarian Academy of Sciences
Balázs Heidrich, Budapest Business School
Niela Kleinsmith
Erich Latniak, Institute for Work, Skills and Training, University of Duisburg-Essen
Chris Mathieu, Lund University

Despite many forecasts about how many jobs digitalisation, automation and robotization may cost we know little about the real effects of these technologies. Based on the H2020 Quinne project company case-studies we find that human workforce still surpasses robots in terms of flexibility during, and reflexivity over, the production processes.