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Article . 2021
License: CC BY NC ND
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Article . 2021
License: CC BY NC ND
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Competency Models for the Digital Transformation and Digitalization in European SMEs and Implications for Vocational Training in Learning Factories and Makerspaces

Authors: Hulla, Maria; Herstätter, Patrick; Moser, Daniela; Burgsteiner, Harald; Ramsauer, Christian;

Competency Models for the Digital Transformation and Digitalization in European SMEs and Implications for Vocational Training in Learning Factories and Makerspaces

Abstract

In Europe, SMEs account for the majority of businesses and are important contributors to job creation and global economic development. The digitalization of business processes of manufacturing companies offers enormous potentials in terms of productivity. Nevertheless, the digitalization level of SMEs is low compared to large enterprises, as SMEs lack in resources in terms of time, money, and personnel. Another reason is, that SMEs are lacking in qualified workforce for the digital transformation. Learning factories and makerspaces offer valuable learning environments to transfer competencies for the digital transformation and digitalization. In this paper the results of an interview study with SMEs are presented that included the investigation of required competencies of the workforce in this field. Moreover, the didactical transfer of one of the required competencies is shown and implications for trainings in learning factories and makerspaces are derived. In conclusion a structured analysis of available and required competences should be performed in order to provide tailored, modular training programs using digital infrastructures like learning factories and makerspaces.

Keywords

vocational education and training, makerspace, learning factory, digitalization

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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