AI-supported systems for integrated skills-management and skills-development
Type
book section
Date Issued
2022-11
Author(s)
Editor(s)
Ifenthaler, Dirk
Abstract (De)
In the context of digitization and digital transformation the skills requirements in businesses and organizations are changing rapidly. In these circumstances, a shift from a less flexible role-based approach to a more flexible skills-based approach to people management and people development is advantageous. In this chapter, we trace the arguments for this shift and differentiate jobs, tasks, competences and skills. Building on this, we sketch the elements of integrated skills management and development: definition, description, systematization, evaluation, development and validation. We discuss taxonomies of competences and skills as a key starting point and we point out different approaches to skills-management possible: top down, bottom up and mixed. Subsequently, we discuss examples of an emerging breed of AI-supported, dedicated solutions for an integrated approach to the management of competences and skills. We provide a short report on a large company currently piloting one such software solution and conclude that it remains to be seen to what extent the promise of these solutions will be kept.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Book title
Artificial Intelligence Education in the Context of Work
Publisher
Springer
Publisher place
Cham
Start page
3
End page
25
Subject(s)
Eprints ID
267056
File(s)![Thumbnail Image]()
Name
2022-06-04_PRE-PRINT_Meier-Seufert_AI-based_skills-mgmt+skills-tech.pdf
Size
755.44 KB
Format
Adobe PDF
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