@Article{,
							 
							Year= "2021", 
							 
							 Volume= "Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.", 
							Pages= "109-124", 
							Journal   = "WGAB",
							 Title= "Change in competence requirements due to the pandemic-related change in work organisation - A learning factory approach on machine learning in production companies ", 
							Author= "Prof. Dr.-Ing. Martin Schmauder 
Chair of Labour Engineering TU Dresden 
Dipl.-Ing. Gritt Ott 
Center for Production Engineering and Organization TU Dresden 
Elena Montenegro Hörder M.Sc. 
Center for Production Engineering and Organization TU Dresden 

", 
							Doi= "https://doi.org/10.30844/wgab_2021_7", 
							 Abstract= "The research project "COVID 19 LL Lessons Learned", funded by the German Federal Ministry of Education and Research (BMBF), aims to identify successful solutions and measures that emerged in three different German regions through a systematic analysis during the pandemic. The regions under consideration are Bavaria (TU Munich), North Rhine-Westphalia (RWTH Aachen) and Saxony (TU Dresden). The aim of the project is to identify the problems that companies and organisations are facing and what they have learned from the change process so far. In this way, it is to be determined whether innovative and digital forms of work that have emerged as a result of the pandemic can provide positive impulses that can prove their worth in the working world in the medium and long term. One of the issues under consideration is the change in competence requirements due to the pandemic-related change in work organisation.
The following human-technology-organisation process model was used for the project work.
", 
							 
							}