Unveiling the Influence of Big Data Disclosure on Audit Quality: Evidence from Omani Financial Firms

Abstract

Purpose: This study aims to investigate the impact of big data disclosure on audit quality in the Omani context. Design/methodology/approach: This study used data extracted from annual reports for a sample from financial companies listed on the Muscat Stock Exchange over the period from 2014 to 2020. We applied a content analysis approach to measure the level of big data disclosure in these firms. This study used ordinary least squares and panel data regression analysis to investigate the relationship between big data disclosure and audit quality. Moreover, we moderated the relationship between big data disclosure and audit quality with family members who are serving on the board of directors and with royal membership. Findings: The findings of the study indicated that big data disclosure played a vital role in enhancing the audit quality of the financial firms in the Omani context. In addition, family memberships positively moderated the association between big data disclosure and audit quality in these firms. However, royal members negatively moderated such relationship. Research limitations/implications: We included only financial institutions in the sample. Practical implications: The study offers practical implications for investors, managers, and policymakers. It will raise awareness on the importance of implementing regulations necessary for disclosing such information in annual reports, thereby enhancing the audit quality of firms and increasing the reliability and validity of financial reports. Originality/value: The study is considered the first, to the best of our knowledge, to examine the impact of big data disclosure on the audit quality in the Omani context. It contributes to the existing knowledge of digital transformation in the Omani financial firms.

Keywords

• Oman
• audit quality
• big data
• voluntary disclosure
• developing country