%0 Conference Paper %1 ls_leimeister %A Freise, Leonie Rebecca %A Bretschneider, Ulrich %A Oeste-Reiss, Sarah %B 19. Internationale Tagung der Wirtschaftsinformatik (Wi24) %C Würzburg, Germany %D 2024 %K Challenges Expert_Interviews Skills_Management Skills_Profiles itegpub pub_lfr pub_soe pub_ubr %T Skills in Flux – Challenges in AI-based Skills Management and Skills Profiles %U http://pubs.wi-kassel.de/wp-content/uploads/2024/09/JMl_976.pdf %X 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.

@inproceedings{ls_leimeister, 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.}, added-at = {2024-08-12T09:17:22.000+0200}, address = {Würzburg, Germany}, author = {Freise, Leonie Rebecca and Bretschneider, Ulrich and Oeste-Reiss, Sarah}, biburl = {https://www.bibsonomy.org/bibtex/2c79f30363147a836b1f43fc9023ef01f/ls_leimeister}, booktitle = {19. Internationale Tagung der Wirtschaftsinformatik (Wi24)}, eventdate = {16-19 Sep 2024}, eventtitle = {19. Internationale Tagung der Wirtschaftsinformatik (Wi24)}, interhash = {74c3bb548e681f30b806f01353199f30}, intrahash = {c79f30363147a836b1f43fc9023ef01f}, keywords = {Challenges Expert_Interviews Skills_Management Skills_Profiles itegpub pub_lfr pub_soe pub_ubr}, timestamp = {2024-09-25T10:45:08.000+0200}, title = {Skills in Flux – Challenges in AI-based Skills Management and Skills Profiles}, url = {http://pubs.wi-kassel.de/wp-content/uploads/2024/09/JMl_976.pdf}, venue = {Würzburg, Germany}, year = 2024 }