Abstract
The labor market in Germany is characterized by far-reaching transformation processes: digitization and AI are changing work and qualification requirements, the mobility turnaround with the departure from the combustion engine is making entire branches of industry obsolete, and the ageing of society is reflected in the shortage of skilled workers, which cannot be adequately compensated for by immigration and retraining. This case study describes the expected labor market situation and qualification requirements in the Heilbronn-Franken region in Germany with the help of company personas, which were created based on expert interviews with representatives of key German industries. The findings show that despite changing job and requirement profiles, no significant job losses are expected and that companies see their greatest need for retraining and further training not in industry-specific skills, but in digital and interdisciplinary skills.
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Acknowledgments
This work has been partially funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung - BMBF) under grant numbers 21INVI1802 and 21INVI1803 as part of the project ‘KIRA – KI-gestütztes Matching individueller und arbeitsmarktbezogener Anforderungen für die berufliche Weiterbildung’ (AI-supported matching of individual and labor market requirements for professional development). The responsibility for all content supplied lies with the authors.
The authors gratefully acknowledge the contributions of the students Vivian Bechler, Stefan Braus, Katrin Engelhardt, Laura Gronbach, Christian Schanz, Luisa Schweizer, Sascha Weitzel, Luisa Wildt, whose rigorous efforts in conducting interviews and analyzing data were invaluable to the completion of this research.
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Pröbster, M., Ehrenreich, J., Käßer-Pawelka, G., Marsden, N. (2024). Beyond Future Skills: Developing Company Personas in Disruptive Transformation Processes. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2024. Lecture Notes in Computer Science, vol 14684. Springer, Cham. https://doi.org/10.1007/978-3-031-60405-8_10
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