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Transformation towards Human Workforce 4.0 through the Qualification Model LTA-FIT

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dc.contributor.author Rehe, Grit
dc.contributor.author Schneider, Robert
dc.contributor.author Thimm, Dr. Denny
dc.date.accessioned 2020-01-04T08:07:46Z
dc.date.available 2020-01-04T08:07:46Z
dc.date.issued 2020-01-07
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64305
dc.description.abstract Even though digitization is a topic of high interest and promises remarkable benefits for the German manufacturing industry, it is still in its development phase. Thus, necessities arising from it are not predictable, yet. A great obstacle that will occur is the appropriate qualification of employees at all levels, sectors and firm sizes. The integration of new technologies will have radical impact on the role and job profile of all staff members as they alter the requirements across the whole value chain and lead to new processes. Latest studies showed that an insufficient qualification of employees is one of the greatest challenges for a successful digitization. Thus, to regain a globally leading position in the manufacturing industry German companies, especially small and medium sized enterprises (SME), need to qualify their employees appropriately. The LTA-FIT model is an approach that aims to face these challenges.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Transforming Traditional Production Systems into Smart Production Systems
dc.subject digitization
dc.subject human workforce 4.0
dc.subject industry 4.0
dc.subject lta-fit
dc.subject qualification model
dc.title Transformation towards Human Workforce 4.0 through the Qualification Model LTA-FIT
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2020.563
Appears in Collections: Transforming Traditional Production Systems into Smart Production Systems


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