Skills in Flux – Challenges in AI-based Skills Management and Skills Profiles
Journal
19. Internationale Tagung der Wirtschaftsinformatik (Wi24)
Type
conference paper
Date Issued
2024-09-19
Author(s)
Leonie Rebecca Freise
;
Ulrich Bretschneider
;
Sarah Oeste-reiß
Research Team
IWI6
Abstract
The changing world of work, driven by automation and digital tech-nologies, requires a workforce that continuously adapts its skills in order to be competitive and employable. This dynamic environment has fueled the demand for advanced skills management, with artificial intelligence (AI) playing a critical role in measuring and supporting individual skills development. This paper looks at AI-based competency profiles as a strategic tool for talent acquisition, reten-tion, and development and highlights their potential challenges. Using semi-structured interviews with experts from HR, education, and industry, we explore the multiple challenges of AI-based skills management from a theoretical, con-ceptual, and practical perspective. Our findings reveal complex problems at the individual, team, organizational, and systemic levels that form a basis for the de-velopment of effective AI-based skills management strategies. This research highlights the importance of using AI to foster an adaptable and skilled workforce that meets both current needs and future challenges.
Language
English
Keywords
Skills Management
Skills Profiles
Challenges
Expert Interviews
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Würzburg, Germany
Pages
16
Event Title
19. Internationale Tagung der Wirtschaftsinformatik (Wi24)
Event Location
Würzburg, Germany
Event Date
16.–19.09.2024
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JMl_976.pdf
Size
362.32 KB
Format
Adobe PDF
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