Audit trend analysis to detect financial risks in the automotive sector in Cuenca, Ecuador

Authors

Keywords:

Auditing, liquidity, management, decision making, technology

Abstract

Auditing has undergone a profound transformation in the digital era, driven by the integration of advanced technologies such as Big Data, artificial intelligence and machine learning, which optimize financial risk management. Given this scenario, the objective of this study is to design internal audit strategies and trend analysis to mitigate financial risks in automotive companies in Cuenca, Ecuador. A mixed methodological approach was adopted, combining quantitative and qualitative analysis through surveys of 25 industry experts. The results revealed that, although technological tools are frequently used, Excel is still the predominant tool for trend analysis. In addition, early detection of risks such as liquidity and operational risks is positively valued, although delays persist in credit risk mitigation. It is concluded that it is important to implement internal audit strategies aligned with ISAs and the use of advanced technologies to anticipate risks and improve strategic decision making.

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Author Biography

Cecilia Ivonne Narváez-Zurita, Universidad Católica de Cuenca. Ecuador.

 

 

References

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Published

2025-05-01

How to Cite

Becerra-Cantos, J. B., & Narváez-Zurita, C. I. (2025). Audit trend analysis to detect financial risks in the automotive sector in Cuenca, Ecuador. Revista UGC, 3(2), 76–85. Retrieved from https://universidadugc.edu.mx/ojs/index.php/rugc/article/view/129

Issue

Vol. 3 No. 2 (2025): Crecimiento económico y desarrollo social sostenible (Mayo-agosto)

Section

Artículos

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Copyright (c) 2025 Juliana Belén Becerra-Cantos, Cecilia Ivonne Narváez-Zurita

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