Effect of Automated Internal Control Systems on Financial Performance of Insurance Companies in Kenya

Authors

  • Paul Omondi Ogola Meru University of Science and Technology
  • Dr. Halldess Nguta Munene Meru University of Science and Technology
  • Prof. Mohamed Shano Meru University of Science and Technology

DOI:

https://doi.org/10.53819/81018102t3141

Abstract

The purpose of this study was to examine the effect of automated internal control systems on financial performance of insurance companies in Kenya. A descriptive correlational research design was adopted for this study. The target population for the study was all 186 department heads from 62 insurance companies operating in Kenya. A sample of 157 respondents was selected from heads of Internal Audit, ICT, and Accounts departments. Data were collected using structured questionnaires and secondary financial data from audited statements. Both inferential and descriptive statistical analyses were conducted, including regression and correlation analyses. The study found that automated internal control systems significantly influenced financial performance (R² = 0.518, F = 166.535, β = 0.598, t = 12.905, p < 0.001). A total of 95% of respondents reported that automated internal control systems provided sufficient transparency in electronically processed cash receipt data, while 90% confirmed enhanced scalability through automation. The study found that 82% considered automated information and communication systems very important for operational efficiency, with insurance management confirming that automated controls including fraud detection, real-time monitoring, and regulatory compliance had specific roles in promoting financial sustainability. The study concluded that automated internal control systems substantially influence financial performance in Kenya's insurance sector. Companies actively implementing comprehensive automated controls demonstrate stronger fraud prevention capabilities and superior financial outcomes. The study recommends that insurance companies should strengthen automated internal control implementation through investing in pattern recognition systems, establishing real-time monitoring capabilities, and developing comprehensive digital audit trails. The study recommends enhancing automated controls by implementing advanced fraud detection algorithms, establishing centralized control dashboards, and creating automated compliance monitoring systems. Insurance regulatory authorities should create policies mandating minimum standards for automated internal control systems in financial reporting.

Keywords: Automated Internal Controls, Financial Performance, Insurance Companies, Risk Management, Fraud Detection, Regulatory Compliance

Author Biographies

Paul Omondi Ogola, Meru University of Science and Technology

Student, Department of Business Administration, Meru University of Science and Technology

Dr. Halldess Nguta Munene , Meru University of Science and Technology

Department of Business Administration, Meru University of Science and Technology

Prof. Mohamed Shano, Meru University of Science and Technology

Department of Business Administration, Meru University of Science and Technology

References

Abecassis, P., & Coutinet, N. (2020). An increasing homogenisation of private health insurers under solvency II? Private Health Insurance and the European Union, 129-159. https://doi.org/10.1007/978-3-030-54355-6_5

Ali, A. S., Al Salem, A. S., Al Awadhi, K. M., Al Foraih, E. O., & Al Sabah, A. M. (2019). Examining the nexus between internal factors and profitability of insurance companies listed at Kuwait stock exchange. Kuwait Chapter of Arabian Journal of Business and Management Review, 8(1), 30-37. https://doi.org/10.12816/0052840

Amissah, E., Hammond, P., & Djimatey, R. (2020). The effects of international financial reporting standards on reporting quality of financial institutions in Ghana. International Journal of Accounting and Financial Reporting, 10(2), 94. https://doi.org/10.5296/ijafr.v10i2.16851

Chen, Y., Lin, B., Lu, L., & Zhou, G. (2021). Can internal audit functions improve firm operational efficiency? Evidence from China. Managerial Auditing Journal, 35(8), 1167-1188. https://doi.org/10.1108/maj-01-2019-2136

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(2), 2-24.

Kamau, A. M., Olweny, T., & Muturi, W. M. (2021). Effect of firm characteristics on financial performance of insurance firms in Kenya. The International Journal of Business & Management, 9(6). https://doi.org/10.24940/theijbm/2021/v9/i6/bm2105-061

Lange, M. (2018). Consolidation in light of solvency II – The impact of mergers and acquisitions on insurers' default risk. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3353730

Lohr, S. L. (2021). Sampling: Design and analysis (3rd ed.). CRC Press.

Morara, K., & Sibindi, A. B. (2021). Determinants of financial performance of insurance companies: Empirical evidence using Kenyan data. Journal of Risk and Financial Management, 14(12), 566. https://doi.org/10.3390/jrfm14120566

Mugenda, O. M., & Mugenda, A. G. (2003). Research methods: Quantitative & qualitative approaches (2nd ed.). Acts Press.

Pillay, C. P., & Njenga, J. K. (2021). Opportunities for reducing expenses through digital innovation: The case of an insurance company. African Journal of Information Systems, 13(1), 99–112.

Prokopjeva, E., Tankov, E., Shibaeva, T., & Perekhozheva, E. (2021). Behavioral models in insurance risk management. Investment Management and Financial Innovations, 18(4), 80-94. https://doi.org/10.21511/imfi.18(4).2021.08

Shin, H., & Park, S. (2020). The internal control manager and operational efficiency: Evidence from Korea. Managerial Auditing Journal, 35(7), 979-1006. https://doi.org/10.1108/maj-04-2019-2253

Taherdoost, H. (2021). Data collection methods and tools for research: A step-by-step guide to choose data collection technique for academic and business research projects. International Journal of Academic Research in Management, 10(1), 10-38.

Walter, S. (2021). Research methodology: Foundations and applications for business studies. Journal of Business Research Methods, 15(2), 45-62.

Wanjohi, W. P. (2024). Assessing the influence of information systems on performance of insurance firms in Nairobi City County, Kenya. Unpublished doctoral dissertation, Kenyatta University.

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Published

2025-09-06

How to Cite

Ogola, P. O., Munene , H. N., & Shano, M. (2025). Effect of Automated Internal Control Systems on Financial Performance of Insurance Companies in Kenya. Journal of Finance and Accounting, 9(3), 46–56. https://doi.org/10.53819/81018102t3141

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