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This rich descriptive study examines auditors' client risk assessment (i.e. “key audit matters”/critical audit matters) disclosures in expanded audit reports of 328 Financial Times Stock Exchange (FTSE) 350 companies. The study compares auditor-identified client risks with corporate risk disclosures identified in audit committee reports, in terms of number and type of risks. The research also compares variation in auditor-identified client risks between individual Big 4 audit firms. In addition, the study examines auditor ranking of their client risks disclosed.

The study manually content analyses disclosures in audit reports and audit committee reports of a sample of 328 FTSE-350 companies with 2015 year-ends.

Audit committees identify more risks than auditors (23% more risks). However, auditor-identified client risks and audit-committee-identified risks are similar (80% similar), as are auditor-identified client risks between the individual Big 4 audit firms. Only ten (3%) audit reports rank the importance of auditor-identified client risks.

Sample is restricted to one year, one jurisdiction, large-listed companies and companies audited by Big 4 auditors.

The study provides important insights for regulators, auditors and users of financial statements by identifying influences on disclosure of auditor-identified client risks.

The paper mobilises institutional theory to interpret the findings. The findings suggest that auditor-identified client risks in expanded audit reports may demonstrate mimetic behaviour in terms of similarity with audit-committee-identified risks and similarity between individual Big 4 audit firms. The study provides important insights for regulators, auditors and users of financial statements by identifying influences on disclosure of auditor-identified client risks.

The going concern audit opinion is an audit opinion issued by an auditor to evaluate the company’s ability in maintaining the business continuity. The purpose of this paper is to discover the effects of audit client tenure, audit lag, opinion shopping, liquidity ratio and leverage on the going concern audit opinion.

The study used secondary data obtained from financial reports and independent audit reports published by Indonesian Stock Exchange (ISE) as well as Indonesian Capital Market Directory. Besides, the population of the study included manufacturing companies registered in ISE from 2009 to 2013. Further, the present study applied purposive sampling technique which resulted in 16 companies used as the sample of the study. Then the hypothesis was examined by applying logistic regression.

Results of the hypothesis examination indicated that the variables of opinion shopping and leverage affected the going concern audit opinion, whereas the variables of audit client tenure, audit lag and liquidity ratio did not affect the going concern audit opinion.

Results of the hypothesis examination indicated that the variables of opinion shopping and leverage affected the going concern audit opinion, whereas the variables of audit client tenure, audit lag and liquidity ratio did not affect the going concern audit opinion.

The purpose of this paper is to explore the practice of integrated reporting (IR) assurance from the auditors’ point of view, including the main challenges to be addressed and insights on evolution and potential new assurance approaches.

Based on an exploratory research design, the paper conducted semi-structured interviews with 10 expert auditors, accounting assurance providers and non-accounting assurance providers, in the Italian context, combining an open coding approach with an axial coding approach, and using a three-stage process to organize data.

Respondents confirmed that current IR practices do not represent a real paradigm shift and that the need for in-depth changes in the assurance approach will depend on how these practices evolve. The main challenges highlighted are the absence of suitable criteria, the difficulty of assuring narratives and future-oriented information, and the low level of maturity of internal systems and processes of companies and stakeholders. Proposals for overcoming these challenges are framed mainly within current assurance models, although some respondents pointed out the need for a shift towards new assurance approaches.

The paper relies on a small sample of well-informed subjects active in Italy; thus, the results may not represent the views of all auditors.

The findings identify areas that practitioners and assurance provider firms should focus on, looking to IR assurance and its growing importance and application as a future business area. They may be useful to standard setters and regulators to better understand limits and opportunities of requiring IR assurance on specific information not strictly related to financial information, and for the development of guidance or standards for IR assurance.

This research contributes to the currently underexplored area of IR assurance. Relatively few studies have investigated this topic from an empirical point of view, and no study involving auditors has been carried out in the Italian context.

This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.

This literature review includes both qualitative and quantitative studies, based on the idea that the findings from different research paradigms can shed light on the complex interactions between different financial reporting controls. The authors use a mixed-methods research synthesis and select 64 accounting journal articles to analyze the main proxies for fraud, the stages of the fraud process under investigation and the roles played by auditors and enforcers.

The study highlights heterogeneity with respect to the terms and concepts used to capture the fraud phenomenon, a fragmentation in terms of the measures used in quantitative studies and a low level of detail in the fraud analysis. The review also shows a limited number of case studies and a lack of focus on the interaction and interplay between enforcers and auditors.

This study outlines directions for future accounting research on fraud.

The analysis underscores the need for the academic community, policymakers and practitioners to work together to prevent the destructive economic and social consequences of fraud in an increasingly complex and interconnected environment.

This study differs from previous literature reviews that focus on a single monitoring mechanism or deal with fraud in a broadly manner by discussing how the accounting literature addresses the roles and the complex interplay between enforcers and auditors in the context of accounting fraud.

This study aims to examine whether the impact of international financial reporting standards (IFRS) on audit fees differs between early and late adopters.

The authors use robust econometric estimation on a sample of 314 firms from both early and late IFRS adopting countries.

The authors find that IFRS is positively and significantly associated with an increase in audit fees for early adopters, but the impact is very weak for late adopters and insignificant in some cases. The results on auditing time suggest that increase in audit fees around IFRS adoption is due to an increase in audit reporting lags. After accounting for pre- and post-years, the authors find that the relationship between IFRS and audit fees, as well as audit time for late adopters, is significant only in the adoption year. However, early adopters experience a significant increase in audit fees and audit time in the transition year to one-year post-adoption.

The findings imply that countries that are yet to adopt IFRS are less likely to experience a significant increase in audit fees audit time. Hence, is probable that the benefit of IFRS will outweigh the cost.

The results, therefore, suggest that early adopters paid a premium for been the first users of IFRS, which is consistent with any innovation. The study provides new insights by demonstrating that the consequences of IFRS differ between early and late adopters.

This paper reviews a substantial body of scholarly work on the audit expectation gap (AEG) for many years and aims to construct a new synthesis of the existing knowledge of the AEG discovered by numerous scholars in the world.

A broad search of the literature was conducted using a few AEG related keywords in the Google Scholar search engine and two databases of Scopus and Emerald from 1974 to 2021. Only the articles published in reputable journals concerning the AEG were selected after applying some selection criteria.

The concept of AEG is a multidimensional concept. Different causes for the AEG were identified, and several strategies were summarized into major promising strategies for narrowing it. It was found that the AEG cannot be eradicated entirely from society.

This review of the literature will be of interest to auditors, financial statement users, regulatory agencies, and policymakers, among other parties. Further, this AEG synthesis may be useful in understanding misperceptions and determining how they differ across diverse stakeholders.

There is a dearth of literature review studies incorporating all the facets of AEG. Hence, this study incorporates all those facets, namely research methods and instruments and dimensions used along with causes and mechanisms to narrow down the AEG while addressing the gaps and highlighting the themes for future research. Finally, a fresh, yet more straightforward definition was generated as a result of the comprehensive review of the literature, adding novelty to the extant literature.

This paper aims to highlight provisions that may attract corporate criminal liability (CCL) in legislation and regulations enacted in Malaysia. Further, this paper identifies gaps or obstacles in the implementation of CCL in Islamic banks (IBs) in Malaysia.

This research adopts the qualitative methodology. More specifically, it uses normative legal research by focusing on primary and secondary data obtained from legislation, regulations, decided case laws, guidelines, law textbooks and bank annual reports in relation to CCL provisions. It also conducts semi-structured interviews with different categories of experts, including legal practitioners (lawyers), regulators from Bank Negara Malaysia (BNM) and Securities Commission Malaysia, officers of the Attorney General's Chambers and officers from legal departments in IBs.

The results conclude that IBs should implement the law on CCL because they are considered corporations. It is also found that not all IBs complied with CCL provisions brought corporate offenders before the court.

This research is restricted by its specialisation in CCL in IBs in Malaysia.

The CCL provision has to be implemented effectively by IBs to achieve the benefit. However, not all IBs implement CCL provision properly. The understanding created by the interview data illuminates the challenges in implementing CCL provisions. Thus, this paper seeks to change the approach in the implementation of CCL provisions by IBs in Malaysia.

The paper touches upon a new area, notably CCL in IBs, which is not well researched in past literature. Although there is a vast research on CCL, corporate crime in IBs in Malaysia is still an unexplored area. This study gives light on the implementation of CCL provisions in IBs.

The emergence of machine learning has opened a new way for researchers. It allows them to supplement the traditional manual methods for conducting a literature review and turning it into smart literature. This study aims to present a framework for incorporating machine learning into financial statement fraud (FSF) literature analysis. This framework facilitates the analysis of a large amount of literature to show the trend of the field and identify the most productive authors, journals and potential areas for future research.

In this study, a framework was introduced that merges bibliometric analysis techniques such as word frequency, co-word analysis and coauthorship analysis with the Latent Dirichlet Allocation topic modeling approach. This framework was used to uncover subtopics from 20 years of financial fraud research articles. Furthermore, the hierarchical clustering method was used on selected subtopics to demonstrate the primary contexts in the literature on FSF.

This study has contributed to the literature in two ways. First, this study has determined the top journals, articles, countries and keywords based on various bibliometric metrics. Second, using topic modeling and then hierarchy clustering, this study demonstrates the four primary contexts in FSF detection.

In this study, the authors tried to comprehensively view the studies related to financial fraud conducted over two decades. However, this research has limitations that can be an opportunity for future researchers. The first limitation is due to language bias. This study has focused on English language articles, so it is suggested that other researchers consider other languages as well. The second limitation is caused by citation bias. In this study, the authors tried to show the top articles based on the citation criteria. However, judging based on citation alone can be misleading. Therefore, this study suggests that the researchers consider other measures to check the citation quality and assess the studies’ precision by applying meta-analysis.

Despite the popularity of bibliometric analysis and topic modeling, there have been limited efforts to use machine learning for literature review. This novel approach of using hierarchical clustering on topic modeling results enable us to uncover four primary contexts. Furthermore, this method allowed us to show the keywords of each context and highlight significant articles within each context.