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International Journal of Research and Innovation in Social Science (IJRISS)

The Impact of Digital Technologies on the Effectiveness of Internal Audit Function in Commercial Banks in Kenya.

byDick Mwendwa Atolo; Fredrick Kalui Mukoma

Published November 4, 2025  •  Vol. 9, Issue 10, pp. 665–680Open Access
DOI: 10.47772/IJRISS.2025.910000057

Abstract

This study is set out with the general objective of establishing the effect of digital technologies on the effectiveness of internal audit function in commercial banks in Kenya. The research is guided by the following specific objectives; to determine the effect of artificial intelligence on the effectiveness of internal audit function in commercial banks in Kenya; to determine the effect of cognitive technology on the effectiveness of internal audit function in commercial banks in Kenya; to determine the effect of data analytics on the effectiveness of internal audit function in commercial banks in Kenya; to assess the effect of robotic process automation on the effectiveness of internal audit function in commercial banks in Kenya; to determine the joint effect of digital technologies (artificial intelligence, cognitive technology, data analytics and robotic process automation) on the effectiveness of internal audit function in commercial banks in Kenya. The research employed descriptive research design. The target population for the study was all the 39 licensed commercial banks in Kenya. A census of the population was used in this study. Primary data was collected using closed questionnaires. Descriptive and inference statistics were used to analyze the data with the help of Statistical Package for Social Sciences (SPSS) Version 23 programme. Pearson correlation was used to establish the strength of the independent variable on the dependent variable. Regression (Simple and multiple) analysis was used to establish the effect of the independent variable on dependent variable. The data analyzed was presented in the form of tables, pie charts and graphs. The study examined the effect of digital technologies artificial intelligence (AI), cognitive technology, data analytics, and robotic process automation (RPA) on the effectiveness of the internal audit function in commercial banks in Kenya. The findings indicated that AI and RPA had a positive and significant impact on internal audit effectiveness, whereas cognitive technology and data analytics did not have a statistically significant effect. However, when analyzed jointly, all digital technologies had a significant and positive joint effect on internal audit effectiveness. Develop comprehensive digital transformation strategies: Banks should take a holistic approach in implementing digital technologies to maximize their combined impact on the internal audit function. Regulators should develop policies that guide the ethical and effective use of AI and RPA in internal audit functions. The government and regulatory bodies should incentivize banks to integrate digital technologies to improve transparency and efficiency in auditing.

Keywords: Digital Technologies, Internal Audit Function, Commercial Banks

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 10
Pages665–680
Publication dateNovember 4, 2025
DOI10.47772/IJRISS.2025.910000057
PublisherRSIS International
LicenseOpen Access

How to cite this article

Dick Mwendwa Atolo, & Fredrick Kalui Mukoma (2025). The Impact of Digital Technologies on the Effectiveness of Internal Audit Function in Commercial Banks in Kenya.. International Journal of Research and Innovation in Social Science (IJRISS), 9(10), 665-680. https://doi.org/10.47772/IJRISS.2025.910000057

BibTeX

@article{Dick2025,
  title   = {The Impact of Digital Technologies on the Effectiveness of Internal Audit Function in Commercial Banks in Kenya.},
  author  = {Dick Mwendwa Atolo and Fredrick Kalui Mukoma},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {10},
  pages   = {665--680},
  year    = {2025},
  doi     = {10.47772/IJRISS.2025.910000057},
  publisher = {RSIS International}
}