Artificial Intelligence and Profitability in East Africa. A Case of Bank of Kigali, Rwanda

Elijah Kihooto *

UOK-MUSANZE, Rwanda.

Bikorimana Gilbert

UOK-MUSANZE, Rwanda.

Bugingo Emmanuel

UOK-MUSANZE, Rwanda.

*Author to whom correspondence should be addressed.


Abstract

The study comprised of artificial intelligence and how it influences profitability. Regression analysis was conducted to test relationship between the independent and dependent variables. The underpinning theories included resourcebased theory and technology acceptance theory. The study used questionnaire to collect primary data which was analyzed through Statistical package for social sciences. A purposive sampling was conducted on the employees at Bank of Kigali. The results indicated positive relationship between the variables. Moreover, the statistical analysis confirmed a strong and positive relationship between AI and profitability, with correlation coefficients of 0.801, 0.783, and 0.799 for customer service, risk management, and operational efficiency respectively. The findings were beneficial to various stakeholders in academic sector, banking and information technology especially artificial intelligence.

Keywords: Artificial Intelligence, profitability, regression


How to Cite

Kihooto, Elijah, Bikorimana Gilbert, and Bugingo Emmanuel. 2025. “Artificial Intelligence and Profitability in East Africa. A Case of Bank of Kigali, Rwanda”. Asian Journal of Economics, Finance and Management 7 (1):1007-13. https://doi.org/10.56557/ajefm/2025/v7i1326.

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