Factors Driving Artificial Intelligence Adoption in South Africa's Financial Services Sector

Incorporating digital technologies, particularly artificial intelligence, into financial services operations is imperative for achieving critical sustainable development goals (SDGs) through digital financial inclusion. This paper examines the drivers behind AI adoption in South Africa's financ...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Academic Journal of Interdisciplinary Studies 2024-09, Vol.13 (5), p.394
1. Verfasser: Hassan, Adewale Samuel
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Incorporating digital technologies, particularly artificial intelligence, into financial services operations is imperative for achieving critical sustainable development goals (SDGs) through digital financial inclusion. This paper examines the drivers behind AI adoption in South Africa's financial services landscape, given its highly advanced financial sector and rapidly evolving digitisation trends. Drawing on the Technological-Organizational-Environmental (TOE) framework, the study investigates the factors influencing AI adoption through a comprehensive analysis of existing literature, a survey of financial services professionals and binary logistic regression. The results of binary logistic regression indicated that technological, organisational and environmental improvements significantly enhance the likelihood of AI adoption in South Africa's financial services sector. Specifically, access to technological infrastructure, organisational leadership support, and regulatory clarity emerge as key determinants of AI adoption. Overall, this study underscores the need for companies in the financial sector to encourage a culture that welcomes innovation and the integration of AI technology, as well as the need for policymakers to develop comprehensive and unambiguous legislative frameworks that control AI use in financial services.   Received: 13 March 2024 / Accepted: 31 August 2024 / Published: 05 September 2024
ISSN:2281-3993
2281-4612
DOI:10.36941/ajis-2024-0173