A hibrid intelligencia a vállalatvezetői tudás új korszakában / Hybrid intelligence in the new era of business management knowledge

Etelka Éva Katits () and Judit Katalin Fejes ()
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Etelka Éva Katits: Pannon Egyetem
Judit Katalin Fejes: Pannon Egyetem

Chapter 8 in Tanulmányok az információ- és tudásfolyamatokról 22. / Studies on Information and Knowledge Processes 22, 2025, vol. 22, pp 153-185 from Információs Társadalomért Alapítvány / Foundation for Information Society

Abstract: Studies how dual/triple AI, Edge AI and life-stage-adapted fourth-generation early warning systems can support managerial knowledge processes, including information collection, sharing, preservation and decision support. Using a mixed-method research design, it argues that human-machine coordination and real-time processing can improve knowledge use and decision quality, while lifecycle-based early warning systems may strengthen resilience and inform a practical framework for AI adoption.

Keywords: early warning system; hybrid artificial intelligence; knowledge management; life cycle; resilience (search for similar items in EconPapers)
Date: 2025
ISBN: 978-615-82082-9-1
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Persistent link: https://EconPapers.repec.org/RePEc:evj:echapt:alma22-08

DOI: 10.60030/ALMAMS.c202501ZfkvSv

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