Impact of artificial intelligence on audit quality of listed oil and gas firms in Nigeria

Muhammad Auwal  Ahmad

doi:10.59413/ajocs/v6.i6.8

Authors

Muhammad Auwal Ahmad Department of Accounting, Nigeria Police Academy, Wudil-Kano, Nigeria Author https://orcid.org/0009-0006-1276-4448 (unauthenticated)

DOI:

https://doi.org/10.59413/ajocs/v6.i6.8

Keywords:

Artificial Intelligence, Audit Quality, Oil and Gas Firms, Firm Size

Abstract

This study investigates the impact of Artificial Intelligence (AI) on the audit quality of listed oil and gas firms in Nigeria. The population comprises 8 oil and gas companies quoted on the Nigeria Exchange Group Ltd. Data were gathered from the published annual reports and accounts of the quoted oil and gas companies for the period of five years (2019-2023). The data were analyzed using panel regression techniques. Findings revealed a significant positive relationship between AI adoption and audit quality, indicating that firms that utilize AI technologies in audit processes report higher levels of audit reliability and transparency. Additionally, firm size and profitability positively influenced audit quality, while leverage showed a negative but weak association. The study concludes that AI plays a critical role in enhancing audit effectiveness and recommends that firms and regulators promote the integration of AI in auditing practices, supported by relevant training and regulatory frameworks.

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