Emerging technologies and audit evidence in Nigeria: Analysing the complex interplay

The rapid evolution of emerging technologies has significantly transformed audit practices, particularly in the collection and evaluation of audit evidence. This study examines the impact of Artificial Intelligence (AI), Data Analytics, and Blockchain Technology on audit evidence, using empirical evidence from professional auditors in Nigeria. The primary objective was to determine how these technologies influence the sufficiency, appropriateness, and reliability of audit evidence. The study adopted a quantitative research design. Data were collected through a structured questionnaire administered to 222 auditors, out of which 200 valid responses were analysed using descriptive statistics, correlation, and regression analysis. The findings revealed that all three technologies have a statistically significant positive effect on audit evidence (p < 0.05). Data analytics exhibited the strongest influence (β = 0.690), followed by artificial intelligence (β = 0.651), and blockchain technology (β = 0.617). The recommendations made as a result of the finding are that audit firms should invest on technology infrastructure, ensure continuous staff training, and gradually adopt blockchain solutions via trial programmes; regulators should update auditing standards to meet up with current advancements in technology. The study came to a conclusion that integrating emerging technologies is very crucial in improving audit quality.