Generational perspectives in the digital era

Békésiné Kovács Noémi (2026) Generational perspectives in the digital era. Prosperitas, 13 (2). pp. 1-18. ISSN 2786-4359 (Online)

Szöveg generational-perspectives-in-the-digital-era-predecessor-successor-attitudes-towards-digitalisation-and-ai-in-hungarian-family-businesses-279.pdf - Megjelent verzió Download (331kB)

Abstract

In the context of accelerating technological change, family business succession increasingly depends not only on ownership and management transfer but also on intergenerational negotiation of attitudes toward digitalisation, artificial intelligence (AI), and technological innovation. This study explores how differing perspectives between successors and predecessors influence the succession process within Hungarian family firms undergoing intra-family transition. Building on two in-depth case studies, the research adopts a qualitative approach using semi-structured interviews with both predecessors and successors in each firm exploring how different perspectives can foster change in management takeover. Findings reveal generational tension between successors’ openness and innovative orientation toward digital transformation and predecessors’ moderate, often cautious, stance shaped by tradition, proven practices, and perceived risks of rapid technological adoption. Despite these divergences, the study identifies mechanisms of reconciliation, such as innovation, shared learning, and mutual trust, which enable smoother digital improvement during succession. The analysis contributes to the understanding of how family firms can balance continuity and renewal by integrating differing digitalisation mindsets across generations. The study offers theoretical and practical insights into the interplay between technological attitudes and succession dynamics, emphasising the need for intergenerational dialogue and adaptive leadership to ensure long-term competitiveness in the era of digital transformation challenges.

Tudományterület / tudományág

társadalomtudományok > gazdálkodás- és szervezéstudományok

Kar

Nem releváns

Intézmény

Budapesti Gazdaságtudományi Egyetem

Mű típusa:	Cikk
Szerző publikációban használt neve:	Publikációban használt név ORCID MTMT szerző azonosító Békésiné Kovács Noémi
Kulcsszavak:	family business succession, digitalisation, Artificial Intelligence, intergenerational attitudes, qualitative research, Hungary
Felhasználó:	Kinga Eszenyi-Bakos
A mű MTMT azonosítója:	37314776
DOI azonosító:	https://doi.org/10.31570/prosp_2026_0182
Rekord készítés dátuma:	2026. Jún. 16. 07:53
Utolsó módosítás:	2026. Jún. 16. 11:21
URI:	https://publikaciotar.uni-bge.hu/id/eprint/2669

Actions (login required)

Tétel nézet