Search results

This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.

The storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.

To explore the current status, prowess, and future of quality audits, which would help both researchers and practitioners to adopt quality‐auditing practice for achieving the objectives of continuous quality improvement (CQI) models like total quality management (TQM).

The literature on quality audits was collected from the Emerald‐insight library. The most appropriate papers dealing with quality‐auditing practice and its closely related topics were excavated. These papers were classified into six categories and their contributions with inferences drawn have been presented.

Quality audits are not only meant for checking the systems for their compliance with quality system (QS) standards, they can also be used for exercising CQI and reaching the benchmarks of TQM. The conclusive finding is that identification of a legitimate quality audit standard and its financial accounting system shall be the future focus of research in this arena.

In comparison to the volume of QS certifications that have taken place throughout the world, the number of papers on quality audits and its closely related topics excavated through literature mining exercises was less. This may aberrate the findings and inferences of literature mining on quality audits.

The findings and inferences drawn by conducting the literature mining on quality‐auditing will be useful to the practitioners for orienting quality audits toward achieving the goals of models like TQM. This will ensure the cost effectiveness of quality audits and reaping larger benefits out of them.

This paper shows a future focus of research which would help the researchers working in TQM arena to work in this direction in consultation with practitioners. This would witness the development of performance measurement metrics and financial accounting systems pertaining to the conduct of quality audits.

This study aims to document the effect of educated workforce on the decision of small and medium enterprises (SMEs) to use external auditors to verify their financial statements.

This paper uses the probit regression models and the data from 141 developing countries to test the arguments presented in this paper. The data is provided by the World Bank’s Enterprise Surveys and is collected during the period between 2006 and 2020.

The paper shows that SMEs with inadequate access to educated workforce are more likely to use external auditors to verify their financial statements. The findings are robust to the comprehensive inclusion of relevant controls and to a number of sensitivity tests. The sensitivity tests include dividing samples based on SME’s size, country’s gross domestic product and country’s location. The results also remain qualitatively the same after correcting for potential endogeneity concerns. Furthermore, the paper shows that the relationship between access to educated workforce and the choice of external audit is moderated by several SME-specific characteristics, such as its size, ownership concentration, managerial experience and tax-related problems.

This is an initial attempt to highlight the role played by the quality of workforce on the choice of external audit among SMEs in an international context. Most of prior literature on this topic focuses on the publicly listed firms.

Unlike external auditing, to date, no study has been done to determine the internal auditors′ dysfunctional behaviour under time budget pressure. Consequently, determines the attitude of internal auditors towards time budgets, and the likely or perceived existence of time filtering practices in internal auditing. Presents survey results which indicate that a majority of respondents perceived time budgets as an interference with the proper conduct of the audit and conceded to a natural conflict between the essence of time budgets and the gathering of sufficient and competent evidence. The survey results further indicated the filtering of time to be a relatively widespread phenomenon in all areas of internal auditing.

Seeks to provide an overview of the direction of change and to assess the “success” of performance auditing in Australia in the last decade. Identifies the tension between the concepts of “administrative effectiveness” and “policy”. Reviews the recent Australian National Audit Office (1991) efficiency audit of programme evaluation and identifies tensions between performance auditing and evaluation. Poses the question: who will audit the Auditor‐General?

We investigate whether auditor size is associated with the disclosure of internal control exceptions among Circular A-133 audits of nonprofit healthcare organizations. Our analysis is motivated by recent growth and transparency concerns within the sector. Using a sample of 1,180 audit reports from 2004 to 2008, we find evidence that audits performed by Big 4 firms are less likely to disclose internal control weaknesses than those performed by smaller firms. Additional analyses indicate this relation only remains statistically significant for a subsample of small organizations, possibly due to greater selectivity or lower efforts by the Big 4 auditors. We discuss the implications of these findings from an audit quality, market dominance, and client size perspective. The results are relevant to hospital financial managers seeking high quality audits at low cost.

This paper aims to develop understanding of how the pursuit of practice change in auditing, especially in relation to audit methodologies, is conveyed, presented, reflected in and enabled (or hindered) through discursive, textual constructions by audit firms.

The paper uses an extensive series of interviews with audit practitioners, educators and regulators and a textual study of the content, concordances and narratives contained in two key audit methodological texts published by KPMG, one of the Big Four accounting firms.

Major discursive shifts in audit methodologies are identified over the last decade, with the dominant audit discourse switching from one of “business value” to one of “audit quality”. Such shifts are analysed in terms of developments in the wider, organisational field and discursive (re)constructions of audit at the level of the audit firm.

The identified shifts in auditing discourse are important in a number of respects. They demonstrate the significance of discursive elements of audit practice, contradicting influential prior claims that methodological discussions and developments in audit over the last decade had focused consistently on notions of “audit quality”. Methodologically, they demonstrate the importance and opportunities for knowledge development available by combining institutional, field‐wide analysis with a detailed discursive study of individual interviews and texts.

In reviewing contemporary literature on materiality judgement and the audit expectations gap (AEG), this paper considers an apparent void concerning that aspect of the AEG caused by the non‐disclosure of materiality and risk thresholds and criteria in the financial reports. The review enables the formation and discussion of two premises: first, disclosing cornerstone concepts, such as materiality and risk judgements, in financial reports enhances users' understanding of the limitations of information contained therein; and second, expanding the wording in audit reports reduces the AEG and enhances users' understanding of the objectives and limitations of an audit. In supporting the validity of these premises, it is concluded that the disclosure of materiality and risk judgements in financial reports may reduce the AEG. This hypothesis may be useful for future empirical research.