Systematic analysis of future competences affected by industry 4.0

Abstract

Digital transformations boosted by new technological innovations entail restructured industrial processes and requalified skilled workers. Educational institutions must provide qualifications with learning outcomes fitting to these requirements. Nowadays skill gap analysis between both sides of labor market is a crucial research topic, but researchers mostly draw consequences from experts’ visions, trends in past data and not from systematic analysis. Educational institutions must gather information about competences required in the future to start transferring them these relevant knowledge in time. This paper presents an information system dedicated to estimate the importance of actual competences in the future based on different business scenarios.