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The advances and continuous development of technology have been identified as significant influences on the accounting profession (AICPA, 1998). In the last twenty years, both academia and the accounting profession have been giving much attention to the demand and opportunity for audits to be performed automatically, continuously and in nearly real time. This paper presents a comprehensive review of continuous auditing research by providing an overview of the emergence and growth of the continuous auditing literature and classifying the extant continuous auditing research on the basis of four research characteristics indicated by a newly developed research taxonomy.

The traditional audit paradigm is outdated in the real time economy. Innovation of the traditional audit process is necessary to support real time assurance. Practitioners and academics are exploring continuous auditing as a potential successor to the traditional audit paradigm. Using technology and automation, continuous auditing methodology enhances the efficiency and effectiveness of the audit process to support real time assurance. This paper defines how continuous auditing methodology introduces innovation to practice in seven dimensions and proposes a four-stage paradigm to advance future research. In addition, we formulate a set of methodological propositions concerning the future of assurance for practitioners and academic researchers.

There is an increasing recognition in the public audit profession that the emergence of big data as well as the growing use of business analytics by audit clients has brought new opportunities and challenges. That is, should more complex business analytics beyond the customary analytical procedures be used in the engagement and if so, where? Which techniques appear to be most promising? This paper starts the process of addressing these questions by examining extant external audit research. 301 papers are identified that discuss some use of analytical procedures in the public audit engagement. These papers are then categorized by technique, engagement phase, and other attributes to facilitate understanding. This analysis of the literature is categorized into an External Audit Analytics (EAA) framework, the objective of which is to identify gaps, to provide motivation for new research, and to classify and outline the main topics addressed in this literature. Specifically, this synthesis organizes audit research, thereby offering guidelines regarding possible future research about approaches for more complex and data driven analytics in the engagement.

Prior studies suggest that non-timely 10-Q filings indicate higher potential risks than non-timely 10-K filings. Furthermore, larger audit firms tend to be more risk-averse and conservative about reporting. Inspired by these research streams, this paper aims to investigate the influence of non-timely 10-Q filings on audit fees and the impact of audit firm size on this association.

The cross-sectional audit fee regression model used in this study is similar to that used in prior audit fee research (Simunic, 1980; Francis et al., 2005; Hay et al., 2006; Wang et al., 2013). The model includes the following five major characteristics that would influence auditors’ fee decisions: auditee size (LNAT), complexity (REIVAT, FOREIGN, SEG), financial condition (LOSS, ROA, GROWTH, ZSCORE), special events (ICW, RESTATE, INITIAL, GC) and auditor type (BIG4). To examine the effect of non-timely 10-Q filings on audit fees, the variable NT10Q is included in the audit fee model.

The results indicate that when both non-timely 10-K and non-timely 10-Q filings are included in the regression model, only non-timely 10-Q filings are significantly associated with higher audit fees, suggesting that the presence of non-timely 10-Q filings signals more serious underlying problem than non-timely 10-K filings in the audit fees decision processes. In addition, we find that audit fees for firms audited by Big 4 auditors are 26.4 per cent higher when those firms file non-timely 10-Q reports, whereas there is no significant association between non-timely 10-Q filings and audit fees for firms audited by non-Big 4 auditors.

As no attention has been paid to the investigation of the impact of non-timely 10-Q filings on audit fees, with the aim of filling the gap of this specific research area, this study examines the association between non-timely 10-Q filings and audit fees and the influence of audit firm size on this association.

The contribution of this paper is threefold: first, it is the first study to examine the association between non-timely 10-Q filings and audit fees. The results show that non-timely 10-Q filings are a better and earlier indicator of audit risk than non-timely 10-K filings. Second, the results reveal that the relationship between non-timely 10-Q filings and audit fees is affected by audit firm size. Specifically, Big 4 auditors tend to charge higher audit fees in the presence of non-timely 10-Q filings, reflecting that they are more sensitive to audit risk than smaller audit firms are. Third, an examination of the quarterly effect of non-timely 10-Q filings on audit fees indicates a stronger effect from the first quarter’s non-timely 10-Q filings, compared to the second or third quarter.

The advances and continuous development of technology have been identified as significant influences on the accounting profession (AICPA, 1998). In the last twenty years, both academia and the accounting profession have been giving much attention to the demand and opportunity for audits to be performed automatically, continuously and in nearly real time. This paper presents a comprehensive review of continuous auditing research by providing an overview of the emergence and growth of the continuous auditing literature and classifying the extant continuous auditing research on the basis of four research characteristics indicated by a newly developed research taxonomy.