The Influence of Artificial Intelligence Adoption on Financial Reporting Accuracy among Selected Firms in Livingstone, Zambia
DOI:
https://doi.org/10.59413/ajocs/v7.i4.26Keywords:
Artificial Intelligence, Financial Reporting Accuracy, Machine Learning, Automation, ZambiaAbstract
Artificial Intelligence (AI) has increasingly transformed accounting and financial reporting through automation, enhanced data processing, error detection, and improved reliability of financial information. This study examined the influence of Artificial Intelligence adoption on financial reporting accuracy among selected firms in Livingstone, Zambia. The study specifically sought to assess the level of AI adoption in financial reporting, determine the relationship between AI adoption and financial reporting accuracy, and examine the effect of AI adoption on financial reporting accuracy. The study was underpinned by the positivist philosophy and employed a deductive approach and quantitative cross-sectional research design. Data were collected using structured questionnaires from a sample of 60 accounting and finance professionals selected through purposive and stratified sampling techniques. Data were analysed using descriptive statistics, Pearson Product-Moment Correlation and regression analysis. The findings revealed a high level of AI adoption, with an overall mean of 3.90. A strong, positive and statistically significant relationship was established between AI adoption and financial reporting accuracy (r = 0.700, p < 0.001). Regression analysis further established that AI adoption significantly influenced financial reporting accuracy, explaining 49.1% of its variation (R² = 0.491, p < 0.001). The five AI dimensions collectively explained 58.4% of the variation, with Natural Language Processing emerging as the significant unique predictor. The study concluded that effective AI adoption significantly enhances financial reporting accuracy. It recommended increased investment in AI technologies, continuous professional training, improved technological infrastructure, stronger cybersecurity and data governance, clear AI governance frameworks, and continued human oversight to enhance accurate and reliable financial reporting.
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References
Alghazzawi, R. (2024). AI adoption and organizational readiness: Boosting accounting efficiency in Jordan. DOI: https://doi.org/10.1108/JFRA-08-2024-0570
Almasarwah, A., Al-Wreikat, A., Marei, Y., & Alsharari, N. (2025). AI’s influence on corporate transparency and financial performance: A new era. International Journal of Accounting and Finance, 7(1), 65–82. DOI: https://doi.org/10.1504/IJBAF.2024.143833
Creswell, J. W. (2023). Advances in mixed methods research design and applications. Journal of Mixed Methods Research, 17(1), 3–15. DOI: https://doi.org/10.1177/15586898231201239
Creswell, J. W., & Plano Clark, V. L. (2023). Designing and conducting mixed methods research (4th ed.). SAGE Publications
Alqsass, M., Qubbaja, A., Alghizzawi, M., Jebreel, M., Dweiri, M., & Qabajeh, M. (2024). The Role of Artificial Intelligence Adoption to Improve Quality of Financial Reports (Case Study Based on Jordanian Traditional Banks). DOI: https://doi.org/10.2139/ssrn.4811493
Anantharaman, D., Rozario, A. M., & Parker, S. (2023). Artificial intelligence and financial reporting quality. SSRN Electronic Journal. DOI: https://doi.org/10.2139/ssrn.4625279
Apooyin, A. (2025). The impact of artificial intelligence on financial reporting and compliance: Opportunities, challenges, and ethical considerations. International Journal of Science and Research Archive.
Awad, A. N. (2025). Artificial Intelligence in Financial Statement Preparation: Enhancing Accuracy, Compliance, and Corporate Performance. International Journal of Innovative Research and Scientific Studies, 13(2), 45-60.
Awad, R., et al. (2025). The Integration of Artificial Intelligence in Financial Statement Preparation and Compliance. DOI: https://doi.org/10.53894/ijirss.v8i2.5166
Bennett, L., Thompson, J., & Rivera, M. (2024). Artificial Intelligence and Its Role in Financial Reporting Accuracy. Journal of Accounting Innovation, 18(2), 115–132.
Carter, S., & Davis, L. (2024). AI-Powered Fraud Detection in Financial Reports: A Comparative Study. International Journal of Forensic Accounting, 12(1), 45–59.
Davis, L., & Carter, J. (2025). AI-Powered Fraud Detection in Financial Reports: A Comparative Study. Journal of Emerging Technologies in Accounting, 19(1), 32–47.
Els, G. (2025). Reflecting on Artificial Intelligence and Financial Statement Analysis Using a Critical Management Framework Approach. In Artificial Intelligence in Accounting, Auditing and Finance Springer. DOI: https://doi.org/10.1007/978-3-031-87368-3_8
Fuentes Doria, D. D., Toscano Hernández, A., & Fajardo Pereira, J. E. (2025). Artificial intelligence models in corporate financial and accounting processes: Systematic literature review.
Fuentes Doria, D.D., Toscano Hernández, A., & Fajardo Pereira, J.E. (2025). Artificial intelligence models in corporate financial and accounting processes: Systematic literature review. DOI: https://doi.org/10.52080/rvgluz.30.110.8
Garcia, F., Patel, R., & Mohammed, A. (2024). AI and Financial Statement Preparation: The Role of Machine Learning. Journal of Financial Reporting & Technology, 11(3), 89–104.
Jackson, T., Lee, Y., & Wang, Z. (2025). The Impact of AI on Audit Accuracy and Financial Reporting. Audit and Assurance Review, 23(1), 74–90.
Jain, A. K. (2025). Financial Reporting and the Role of Artificial Intelligence in Automating Audits. [Journal/Publisher], March, 11 reads. DOI: https://doi.org/10.62823/IJARCMSS/8.1(II).7358
Jejeniwa, D., et al. (2024). AI and Data Extraction in Financial Reporting: A Nigerian Banking Sector Perspective.
Jens, V. (2023). Impact of artificial intelligence on financial reporting accuracy: An empirical analysis. Journal of Financial Reporting & Analytics, 2(3), 93–107.
Johnson, R., Smith, K., & Tran, L. (2024). Machine Learning and Financial Accuracy: Improving Financial Reporting Systems. Accounting Technology & Innovation Review, 16(4), 202–219.
Johri, A. (2025). Impact of artificial intelligence on the performance and quality of accounting information systems and accuracy of financial data reporting. International Journal of Social Science and Human Research (IJSSHR), 6(2), 88–101. DOI: https://doi.org/10.1080/01559982.2025.2451004
Kamau, C. G. (2026). Artificial Intelligence Techniques and Cryptocurrency Fraud Detection in Kenya: A Systematic Literature Review Using the PRISMA Framework. (2026). African Multidisciplinary Scholarship Journal, 1(1), 55-74. DOI: https://doi.org/10.59413/amsj/v1.i1.6
Khan, A., Singh, P., & Mensah, D. (2024). Improving Financial Reporting Accuracy Using AI Algorithms. Journal of Digital Accounting Research, 14(2), 55–70.
Khan, A., Ullah Jan, M., & Zia-ul-haq, M. (2024). Artificial intelligence adoption, audit quality, and integrated financial reporting in GCC markets. Journal of Financial Reporting and Accounting, 22(1), 49–71.
Kim, A., Muhn, M., & Nikolaev, V. (2024). Financial statement analysis with large language models. arXiv preprint. DOI: https://doi.org/10.2139/ssrn.4835311
KPMG Global Survey. (2024). AI Adoption in Financial Reporting: Current Trends and Future Outlook.
Lawal, K. (2025). The Impact of Artificial Intelligence on Financial Audits: Enhancing Accuracy and Efficiency. International Journal of Auditing, 20(1), 12-25.
Manning, S., et al. (2022). AI and the Transformation of Financial Accuracy and Oversight.
Mason, J., & Lee, H. (2023). The Role of Robotic Process Automation (RPA) in Financial Reporting. Journal of Automation in Finance, 9(1), 40–58.
Mbonigaba, C., & Gidisu, J. A. (2025). Artificial Intelligence in Accounting: Transforming Financial Reporting and Decision-Making Processes
Miller, S., & Zhang, T. (2024). Enhancing Financial Audit Accuracy with AI and Natural Language Processing. Journal of Accounting Technologies, 10(3), 101–118.
Miller, S., Patel, A., & Roberts, D. (2024). AI-Powered Financial Reporting: Reducing Errors and Enhancing Decision-Making. International Journal of Financial Technology, 13(2), 68–84.
Mwachikoka, C. F. (2024). Effects of artificial intelligence on financial reporting accuracy. International Journal of Social Science and Human Research (IJSSHR), 5(7), 445–456.
Naveed, Z., Elly, B., & Alam, W. (2025). The Role of Artificial Intelligence (AI) in Enhancing Predictive Capabilities within Financial Reporting. Journal of Financial Technology and Reporting, 12(3), 55-68.
Nguyen, L., & Patel, D. (2024). Machine Learning and Financial Reporting Accuracy: A Systematic Review. Journal of Accounting Research and Innovation, 17(1), 23–39.
Nova, V., & Triatmaja, N. A. (2025). Evaluation of the Role of Accounting Information Systems in Increasing the Accuracy of Financial Reporting in MSME Companies. International Journal of Social and Human, 15(2), 35-50.
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Copyright (c) 2026 Chibulo Foster Mwachikoka, Muhammad Adil, Obrine Mweetwa, Prof. Jackson Phiri (Author)
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