Analysis of Weaknesses in Accounting Systems in the Age of Artificial Intelligence: Case Study of LAM (2022-2025 )

Authors

  • Tânia Elina Nhamunze Instituto Superior de Formação, Investigação e Ciência (ISFIC) - Moçambique

Keywords:

Keywords: Accounting systems, Artificial Intelligence, weaknesses, LAM, internal control, accounting modernization.

Abstract

This study analyzed weaknesses in the accounting systems at LAM (Linhas Aéreas de Moçambique) in the era of Artificial Intelligence (AI) from 2022 to 2025. The study adopted a mixed-methods approach, combining quantitative and qualitative methods, including document review, questionnaires administered to 40 accounting and finance staff, and semi-structured interviews with managers. The results revealed significant weaknesses in LAM’s accounting processes, including incomplete entries (70%), lack of system integration (65%), inconsistent reports (60%), and insufficient internal control (55%), indicating that automation and AI adoption are still in their early stages. Qualitative analysis showed that these weaknesses largely stem from manual processes, gaps in policy implementation, and resistance to adopting advanced digital technologies. The study concludes that strategic adoption of AI tools, combined with strengthened internal controls, can reduce errors, improve process efficiency, and enhance the reliability of financial information. This study contributes to understanding current limitations and provides guidance for modernizing and digitizing corporate accounting in African airlines.

Downloads

Download data is not yet available.

References

Arens, A. A., Elder, R. J., & Beasley, M. S. (2019). Auditing and assurance services: An integrated approach (16th ed.). Pearson.

Atrill, P., & McLaney, E. (2019). Accounting and finance for non-specialists (11th ed.). Pearson.

Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W.W. Norton & Company.

COSO. (2013). Internal control – Integrated framework. Committee of Sponsoring Organizations of the Treadway Commission. https://www.coso.org

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. https://hbr.org/2018/01/artificial-intelligence-for-the-real-world

Gunderson, L. H., & Holling, C. S. (2002). Panarchy: Understanding transformations in human and natural systems. Island Press.

Horngren, C. T., Sundem, G. L., & Elliott, J. A. (2020). Introduction to financial accounting (12th ed.). Pearson.

Lengnick-Hall, C. A., Beck, T. E., & Lengnick-Hall, M. L. (2011). Developing a capacity for organizational resilience through strategic human resource management. Human Resource Management Review, 21(3), 243–255. https://doi.org/10.1016/j.hrmr.2010.07.002

Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. The British Accounting Review, 51(6), 100833. https://doi.org/10.1016/j.bar.2019.05.003

Otley, D. (2016). The contingency theory of management accounting and control: 1980–2014. Management Accounting Research, 31, 45–62. https://doi.org/10.1016/j.mar.2015.04.001

Silva, R. (2020). Digital accounting and the adoption of AI in small and medium enterprises. Lusophone Journal of Accounting, 12(2), 45–60.

Wolk, C., Dodd, J., & Rozycki, J. (2018). Accounting theory: Conceptual issues in a political and economic environment (9th ed.). Sage.

Published

2026-09-02

How to Cite

Nhamunze, T. E. . (2026). Analysis of Weaknesses in Accounting Systems in the Age of Artificial Intelligence: Case Study of LAM (2022-2025 ). ALBA - ISFIC RESEARCH AND SCIENCE JOURNAL, 1(12), 158–163. Retrieved from https://www.alba.ac.mz/index.php/alba/article/view/959