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AI-enabled informal learning in the workplace: evidence from Austrian knowledge workers

datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorKalvapalle, Sai
dc.contributor.authorKriegler, Felix
dc.date.accessioned2026-04-17T10:40:48Z
dc.date.available2026-04-17T10:40:48Z
dc.date.issued2026-01-27
dc.date.submitted2026-01-27
dc.description.abstractThis work project examines how knowledge workers perceive AI as a tool for informal learning and development, and how these perceptions relate to career impact, confidence, and overreliance concerns in Italy and Austria. Using a cross-sectional online survey (N = 195), we constructed composite measures for AI-enabled informal learning, problem-solving support, confidence, overreliance (“ghost-learner” risk), and career impact. Three country-specific regressions show that learning-oriented AI use most consistently predicts perceived career benefits. Confidence is mainly learning-driven in Austria, but more problem-solving-driven in Italy. Overreliance follows the classic frequency pattern in Italy, but links to autonomy/deep integration in Austria.eng
dc.identifier.tid204237769
dc.identifier.urihttp://hdl.handle.net/10362/202330
dc.language.isoeng
dc.relationUID/ECO/00124/2013
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGenerative AI
dc.subjectOrganizational behavior
dc.subjectInformal learning
dc.subjectKnowledge workers
dc.titleAI-enabled informal learning in the workplace: evidence from Austrian knowledge workerseng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics

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