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Open access Jurnal SINTA 1

Artificial Intelligence Technologies and the Performance of Nigerian Banks

Journal of Information Systems Engineering and Business Intelligence · Vol. 12 No. 2 (2026) · pp. 196–209

DOI
10.20473/jisebi.12.2.196-209
ISSN
2443-2555, 2598-6333
Published
2026-07-07
Publisher
Universitas Airlangga
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

Background: The Nigerian banking industry has encountered substantial challenges and opportunities arising from globalization, with AI emerging as a critical enabler of operational efficiency, customer service excellence, and improved financial performance. Objective: This study investigated the impact of AI technologies on the performance of Nigerian banks. Methods: The study drew data from 228 respondents across six selected banks through a structured questionnaire. Path Analysis-Structural Equation Modelling (PA-SEM) was employed for data analysis using STATA version 15. Results: The findings indicate that AI-driven applications—such as chatbots, personalized banking services, and automated loan processing—substantially enhance customer satisfaction and deposit mobilization. The results underscore the pivotal role of AI technologies in strengthening the performance of Nigerian banks amid globalization, positioning the sector for sustained growth and development. Conclusion: The findings highlight the transformative role of AI technologies in the global banking landscape, emphasizing their significance in enhancing efficiency, customer engagement, and overall sector growth. As AI advances, its strategic adoption will be essential for maintaining a competitive edge and supporting the future expansion of the Nigerian banking industry. Keywords: Chatbots, Personalized banking Services, Automated loan processing, AI JEL Classification: C45, E50, G21, J24

Collaboration network of the authors

6 authors · 15 co-authorship links · 10 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Osun State University
  • Bowen University
  • Federal University Lokoja
  • North-West University
  • National University of Lesotho
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Artificial Intelligence Technologies and the Performance of Nigerian Banks</dc:title>
	<dc:creator>Sajuyigbe, Ademola Samuel</dc:creator>
	<dc:creator>Olasupo, Sunday Festus</dc:creator>
	<dc:creator>Oyedele, Oloruntoba</dc:creator>
	<dc:creator>Tella, Adeniran Rahman</dc:creator>
	<dc:creator>Ayeni, Adebanji Williams</dc:creator>
	<dc:creator>Omotoso, Matthew Olubayo</dc:creator>
	<dc:description xml:lang="en-US">Background: The Nigerian banking industry has encountered substantial challenges and opportunities arising from globalization, with AI emerging as a critical enabler of operational efficiency, customer service excellence, and improved financial performance.
Objective: This study investigated the impact of AI technologies on the performance of Nigerian banks.
Methods: The study drew data from 228 respondents across six selected banks through a structured questionnaire. Path Analysis-Structural Equation Modelling (PA-SEM) was employed for data analysis using STATA version 15.
Results: The findings indicate that AI-driven applications—such as chatbots, personalized banking services, and automated loan processing—substantially enhance customer satisfaction and deposit mobilization. The results underscore the pivotal role of AI technologies in strengthening the performance of Nigerian banks amid globalization, positioning the sector for sustained growth and development.
Conclusion: The findings highlight the transformative role of AI technologies in the global banking landscape, emphasizing their significance in enhancing efficiency, customer engagement, and overall sector growth. As AI advances, its strategic adoption will be essential for maintaining a competitive edge and supporting the future expansion of the Nigerian banking industry.
 
Keywords: Chatbots, Personalized banking Services, Automated loan processing, AI JEL Classification: C45, E50, G21, J24</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2026-07-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>text/xml</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/71169</dc:identifier>
	<dc:identifier>10.20473/jisebi.12.2.196-209</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 12 No. 2 (2026):  June; 196-209</dc:source>
	<dc:source>2443-2555</dc:source>
	<dc:source>2598-6333</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/71169/39732</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/71169/36698</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 The Authors. Published by Universitas Airlangga.</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>