Preparing for the future of work: a novel data-driven approach for the identification of future skills

Julia Brasse, Maximilian Förster, Philipp Hühn, Julia Klier (), Mathias Klier and Lars Moestue
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Julia Brasse: University of Ulm
Maximilian Förster: University of Ulm
Philipp Hühn: University of Ulm
Julia Klier: University of Regensburg
Mathias Klier: University of Ulm
Lars Moestue: University of Ulm

Journal of Business Economics, 2024, vol. 94, issue 3, No 3, 467-500

Abstract: Abstract The future of work is changing rapidly as result of fast technological developments, decarbonization and social upheavals. Thus, employees need a new skillset to be successful in the future workforce. However, current approaches for the identification of future skills are either based on s small sample of expert opinions or the result of researchers interpreting the results of data-driven approaches and thus not meaningful for the stakeholders. Against this background, we propose a novel process for the identification of future skills incorporating a data-driven approach with expert interviews. This enables identifying future skills that are comprehensive and representative for a whole industry and region as well as meaningful for the stakeholders. We demonstrate the applicability and utility of our process by means of a case study, where we identify 33 future skills for the manufacturing industry in Baden-Wuerttemberg, Germany. Our work contributes to the identification of comprehensive and representative future skills (for whole industries).

Keywords: Future skills; Future skill identification; Job advertisement analysis; Case Study (search for similar items in EconPapers)
JEL-codes: J24 M00 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11573-023-01169-1

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