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Effect of Digital Audit on Financial Reporting Quality of Listed Companies in Nigeria

Abstract

Digital audit has emerged as a transformative approach to modern auditing due to its ability to improve audit efficiency, enhance audit quality, strengthen fraud detection, and increase the credibility of financial reporting. Digital audit refers to the application of advanced digital technologies such as artificial intelligence, data analytics, robotic process automation, cloud computing, blockchain, continuous auditing systems, and computer-assisted audit techniques (CAATs) in planning, executing, monitoring, and reporting audit engagements. Unlike traditional audit approaches, digital audit enables auditors to analyze large volumes of financial data in real time, identify anomalies, detect fraudulent transactions, improve audit evidence collection, and provide more timely and reliable audit opinions. In Nigeria, the adoption of digital technologies in corporate reporting and auditing has accelerated due to technological advancements, increasing regulatory expectations, the growing complexity of business transactions, and the implementation of International Standards on Auditing (ISA) and International Financial Reporting Standards (IFRS). Regulatory institutions such as the Financial Reporting Council of Nigeria (FRCN), the Securities and Exchange Commission (SEC), and the Nigerian Exchange Group (NGX) continue to encourage high-quality financial reporting and effective audit practices among listed companies. Despite these developments, many listed companies and audit firms continue to face challenges such as inadequate technological infrastructure, limited digital auditing skills, cybersecurity risks, high implementation costs, and resistance to technological change, which may affect the effectiveness of digital audit practices and the quality of financial reporting. Although previous studies have examined audit quality and accounting information systems, empirical evidence regarding the effect of digital audit on the financial reporting quality of listed companies in Nigeria remains limited and inconclusive. Against this background, this study investigates the effect of digital audit on the financial reporting quality of listed companies in Nigeria. The study is anchored on the Technology Acceptance Model (TAM), Agency Theory, and Systems Theory. The Technology Acceptance Model posits that auditors and organizations are more likely to adopt digital audit technologies when they perceive them as useful, reliable, and easy to use in improving audit performance. Agency Theory explains that effective digital auditing strengthens independent monitoring of management, reduces information asymmetry, and enhances the credibility of financial reporting. Systems Theory argues that integrating digital audit technologies with organizational information systems improves audit effectiveness, internal controls, and the overall quality of financial reporting. Collectively, these theoretical perspectives provide a comprehensive framework for explaining the relationship between digital audit and the financial reporting quality of listed companies in Nigeria. The study adopts a quantitative research design using a structured questionnaire administered to external auditors, internal auditors, chief financial officers, finance managers, accountants, audit committee members, financial controllers, information technology managers, compliance officers, and other personnel responsible for auditing and financial reporting within selected listed companies in Nigeria. A stratified random sampling technique will be employed to ensure adequate representation of companies operating in the financial services, manufacturing, consumer goods, industrial goods, oil and gas, telecommunications, agriculture, healthcare, and other sectors listed on the Nigerian Exchange Group (NGX). Digital audit will be measured using audit data analytics, computer-assisted audit techniques (CAATs), continuous auditing, automation of audit procedures, artificial intelligence applications, digital evidence collection, cloud-based audit systems, and auditor technological competence, while financial reporting quality will be measured using reporting accuracy, reliability, relevance, timeliness, transparency, completeness of disclosure, compliance with International Financial Reporting Standards (IFRS), and faithful representation of financial information. Primary data collected from respondents will be analyzed using descriptive statistics to summarize respondents' demographic characteristics and perceptions regarding digital audit and financial reporting quality. Structural Equation Modeling (SEM) will be employed to examine the effect of digital audit on financial reporting quality. The measurement model will be evaluated using Cronbach's Alpha, Composite Reliability (CR), Average Variance Extracted (AVE), and Confirmatory Factor Analysis (CFA) to establish the reliability and validity of the research instrument. Additional diagnostic tests, including multicollinearity assessment, common method bias analysis, and model fit indices such as the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR), will be conducted to ensure the adequacy, consistency, reliability, and robustness of the structural model. The study anticipates that digital audit will have a significant positive effect on the financial reporting quality of listed companies in Nigeria. Effective implementation of digital audit technologies is expected to improve the accuracy, reliability, transparency, and timeliness of financial reporting by strengthening audit procedures, enhancing fraud detection, improving audit evidence quality, and reducing human error. Listed companies utilizing digital audit practices are also anticipated to strengthen internal control systems, improve compliance with auditing and accounting standards, increase stakeholder confidence, enhance corporate governance, and improve the credibility of published financial statements. Furthermore, digital audit is expected to facilitate continuous monitoring of financial transactions, improve audit efficiency, support evidence-based decision-making, reduce audit risk, and strengthen organizational accountability. Conversely, inadequate digital infrastructure, insufficient technological expertise, weak cybersecurity measures, poor system integration, and resistance to technological innovation may reduce the effectiveness of digital audit and adversely affect financial reporting quality. Consequently, effective adoption of digital audit technologies is expected to contribute significantly to improving financial reporting quality, audit effectiveness, corporate transparency, and sustainable corporate governance among listed companies in Nigeria. This study is expected to make significant theoretical and empirical contributions to the literature on auditing, accounting information systems, financial reporting, and corporate governance by providing comprehensive evidence on the relationship between digital audit and the financial reporting quality of listed companies in Nigeria. Unlike previous studies that broadly examined audit quality or information technology adoption, this research specifically evaluates digital audit as a strategic determinant of financial reporting quality using primary data and Structural Equation Modeling (SEM). The findings will provide valuable insights for the Financial Reporting Council of Nigeria (FRCN), the Securities and Exchange Commission (SEC), the Nigerian Exchange Group (NGX), audit firms, listed companies, professional accounting bodies, regulators, policymakers, investors, and academic researchers regarding the strategic importance of digital audit in enhancing financial reporting quality. The study will also provide evidence-based recommendations for strengthening digital audit capabilities, promoting investment in audit technologies, enhancing auditor digital competencies, improving cybersecurity practices, reinforcing compliance with international auditing standards, and fostering greater transparency, accountability, and confidence in corporate financial reporting in Nigeria.

Keywords: Digital audit, financial reporting quality, listed companies, audit data analytics, computer-assisted audit techniques (CAATs), corporate governance, audit quality, Structural Equation Modeling (SEM), financial reporting, Nigeria.