Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/307482 
Year of Publication: 
2023
Citation: 
[Journal:] Journal of Business Economics [ISSN:] 1861-8928 [Volume:] 94 [Issue:] 3 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023 [Pages:] 467-500
Publisher: 
Springer, Berlin, Heidelberg
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).
Subjects: 
Future skills
Future skill identification
Job advertisement analysis
Case Study
JEL: 
J24
M00
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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