The role of artificial intelligence in mobile banking: decoding portuguese consumers’ perceptions and intentions to engage
João M. Lopes (),
Ilda Massano-Cardoso () and
Lara Pedrosa ()
Additional contact information
João M. Lopes: Instituto Superior Miguel Torga
Ilda Massano-Cardoso: Instituto Superior Miguel Torga
Lara Pedrosa: Instituto Superior Miguel Torga
Future Business Journal, 2025, vol. 11, issue 1, 1-17
Abstract:
Abstract The rapid expansion of technology, particularly artificial intelligence, has significantly challenged and transformed traditional banking channels. This transformation has led banks to rethink their service delivery models, shifting towards more digital and customer-centric approaches that emphasize convenience and personalization. The aim of this study is to identify and analyze the main factors that impact the behavioral intentions of Portuguese consumers in the use of artificial intelligence in mobile banking applications. To this end, 452 responses were collected from Portuguese consumers, and multiple linear regression was used as the method. The results show that perceived quality of service and security are the main factors of trust, which increases attitudes towards AI and comfort with its use. Relative advantage strongly promotes intentions to use, while perceived need and excessive comfort surprisingly reduce the likelihood of adoption. Finally, intention to use positively influences attitudes towards AI, highlighting the role of involvement in shaping consumer perceptions. This study distinctively combines trust, security, and comfort in the analysis of AI adoption in mobile banking, revealing counter-intuitive effects of perceived need and comfort on usage intentions. It also highlights how engagement with AI services shapes consumer attitudes, providing new insights into the dynamics of technology acceptance.
Keywords: Artificial intelligence; Mobile banking; Relative advantage; Need for service; Services marketing; Financial services (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1186/s43093-025-00510-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00510-0
Ordering information: This journal article can be ordered from
https://fbj.springeropen.com/
DOI: 10.1186/s43093-025-00510-0
Access Statistics for this article
Future Business Journal is currently edited by Soad Kamel Rizk and Hayam Wahba
More articles in Future Business Journal from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().