Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/186150
Authors: 
Pfeiffer, Sabine
Year of Publication: 
2018
Citation: 
[Journal:] International Journal for Research in Vocational Education and Training (IJRVET) [ISSN:] 2197-8646 [Volume:] 5 [Year:] 2018 [Issue:] 3 [Pages:] 208-225
Abstract: 
Context: Germany is seen as one of the major players in developing what is known as 'Industry 4.0.' Especially in the manufacturing and the automotive sector, the vocational training is seen as a precondition and consequence alike for the global success of these sectors. Current research though characterizes production work, especially machine-related tasks, as dull routine work and therefore of high probability of computerization. Approach: Based on qualitative research perspectives and sociological results that reveal the importance of experience and implicit capabilities, this study quantifies what is mostly seen as 'non-routine' work. To measure these dimensions of living labouring capacity, an index is introduced that is developed from 18 items of one of the biggest German task-based, representative surveys. Findings: The contribution challenges the widespread prognosis that production workers face high susceptibility. Comparing data on non-routine share in production and of vocational trained workers with those of Frey and Osborne, the findings stress the mostly neglected importance of non-routine work, even in production and especially with vocational trained, machine-related occupations. Conclusion: The results draw on how much more employees on the shop floor are apt to handle change, complexity, and imponderabilities than often assumed. If their work will or will not be susceptible to novel approaches in robotics or algorithms, therefore, is not a question of routine.
Subjects: 
VET
Vocational Education and Training
Industry 4.0
Routine Task
Living Labouring Capacity
Machine Work
Experience
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/4.0/
Document Type: 
Article
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