AI-Driven Knowledge Management: Empowering Future Leaders with Essential Skills

Orbán Zsuzsanna (2026) AI-Driven Knowledge Management: Empowering Future Leaders with Essential Skills. In: Clocks Can Be Stopped, Tipping Points Cannot. Budapesti Gazdaságtudományi Egyetem, Budapest, Magyarország, pp. 1-11. ISBN 978-615-6886-34-7

Szöveg IX BGE Inter Sust Stud Conf_proc_20260710_5.pdf - Megjelent verzió Download (340kB)

Abstract

Artificial intelligence-powered knowledge management is transforming how organisations cope with the growing volume of information. By automating repetitive tasks, providing personalised solutions and supporting decision-making, artificial intelligence reduces overload, allowing managers to focus on more high-value work. However, these benefits also come with challenges; effective implementation is not just a technological competence but also requires leadership capabilities. Future leaders will need to improve skills such as emotional intelligence, ethical thinking, adaptability, and continuous learning. In addition, they need to be able to effectively collaborate with intelligent systems through targeted questioning, adaptive thinking, and responsible use, known as "fusion skills." The paper reviews recent literature and uses illustrative examples to show how artificial intelligence-supported knowledge management reduces information overload and shapes the competencies needed for sustainable leadership. Nevertheless, it is essential not to see this technology as a replacement for humans, but rather as a collaborative partner that augments human potential.

Tudományterület / tudományág

társadalomtudományok > gazdálkodás- és szervezéstudományok

Kar

Nem releváns

Intézmény

Budapesti Gazdaságtudományi Egyetem

Mű típusa:	Könyv része
Szerző publikációban használt neve:	Publikációban használt név ORCID MTMT szerző azonosító Orbán Zsuzsanna
Kulcsszavak:	Artificial Intelligence, knowledge management, human-machine synergy, future skills
Felhasználó:	Kinga Eszenyi-Bakos
DOI azonosító:	https://doi.org/10.29180/978-615-6886-34-7_5
Rekord készítés dátuma:	2026. Aug. 19. 11:46
Utolsó módosítás:	2026. Aug. 19. 11:46
URI:	https://publikaciotar.uni-bge.hu/id/eprint/2682

Actions (login required)

Tétel nézet