The effects of artificial intelligence on organizational culture in the perspective of the hermeneutic cycle

The intersection of mental processes

Datos Bibliográficos

ID7169205
AutoresAslıhan Canbul Yaroğlu (0000-0002-4853-391X, Yildiz Technical University Istanbul Turkey, autor de correspondencia)
Año2025
Volumen42
Número6
Páginas1515-1527
Fecha de publicación2025-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSystems Research and Behavioral Science (JOURNAL)
Identificadores de la revistaISSN: 1092-7026 • E-ISSN: 1099-1743
EditorialWiley (PUBLISHER • GB)
DOI10.1002/sres.3037
OpenAlexW4400055801
IdiomaEN
Citas recibidas1
Referencias citadas46

Artificial intelligence technology has spread rapidly in the business world in recent years and has transformed the business processes of many organizations. This transformation has caused significant changes not only in the technological infrastructure but also in the organizational culture and way of doing business. However, the effects of artificial intelligence on organizational culture are complex and diverse. While artificial intelligence applications can change businesses' values, norms, and ways of working, they can also make it difficult to maintain a human‐centered approach. In this context, it is important to understand and evaluate the effects of artificial intelligence on organizational culture. This article examines the effects of artificial intelligence on organizational culture from the perspective of the hermeneutic cycle. The hermeneutic cycle allows us to understand the interaction between organizational culture and artificial intelligence as a continuous process of interpretation and understanding. In addition, by making use of the experience anecdote of phenomenology, it is emphasized how mental processes are shaped and that these processes have a structure suitable for the hermeneutic cycle. This framework helps us more comprehensively evaluate and analyze the effects of artificial intelligence on organizational culture. Our findings reveal that integrating AI within organizational frameworks requires nuanced understanding and adaptations that align with human‐centric values

Cognitive science · Economics · Knowledge management · Management · Mental model · Organizational culture · Transport engineering · Computer Science · Cultural Differences and Values · Engineering · Innovation, Sustainability, Human-Machine Systems · Psychology · Artificial Intelligence