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This paper estimates the value added by Big 8/6/5 auditors after controlling for the permanent and non‐permanent impact of earnings and cash flows using linear and nonlinear (arctan) regression models. The linear model shows significant value added for industrial firms that utilise Big 8/6/5 auditors; while an arctan model shows that large auditors value‐add by attesting to the permanence of earnings for large firms. We demonstrate that refinements to the audit research can be made by using response coefficients to filter out the different timing components inherent in earnings and cash flows.

This study examines audit fee premiums from brand name, industry specialization, and industry leadership after the merger of two Big 6 audit firms, creating the Big 5 in 1998 in the Malaysian audit market. A sample of 679 companies listed at the main and second boards of Kuala Lumpur Stock Exchange (KLSE) are investigated for audit fee premiums. Industry specialization is determined on the basis of 20 per cent share of audit market calculated by the number of audited companies in the industry. Audit fee premiums are calculated based on the Simunic (1980) model of audit fees. Results show: that Big 5 audit firms obtain 65.4 per cent audit market share for all KLSE listed companies; that Big 5 audit firms earn higher audit fees than non‐Big 5; and that industry specialization does not generate audit fee premiums. The study finds evidence for audit fee premiums derived from industry market leadership. Results also reflect the competitiveness among Big 5 audit firms in the audit market especially following the merger of Big 6 audit firms.

This study aims to examine auditor reporting behaviour in the presence of aggressive earnings management (EM) in the context of the Asian Economic Crisis as it affected Malaysia. In the vein of Bartov, Gul and Tsui, the interaction between discretionary or abnormal accruals and audit quality (AQ), as indicated by auditor size and auditor industry specialisation, is examined.

A logistic regression model adapted from various prior studies is utilised to test the hypotheses.

As per earlier findings using Western data, Big 5 auditors in Malaysia appear to qualify more frequently than their non‐Big 5 counterparts when high levels of abnormal accruals are present. However, the interaction between auditor industry specialisation and abnormal accruals is not significant in predicting the incidence of qualification.

This study extends the current literature on AQ differentiation and specifically it attempts to address the gaps in the literature with respect to auditor reporting behaviour in the presence of aggressive EM. In addition, this study provides additional evidence on Big 5/industry specialist quality differentiation in an emerging market (an under‐researched area), Malaysia, arguably with less transparent and weaker governance structures than the developed economies such as the USA, UK, and Australia.

As the new millennium draws near, the business world is experiencing a number of radical changes on a global scale. Globalisation, information technology, increasing competitive pressures and changing international law have set the scene for a vastly changing business environment for the 21st century. The future prosperity of the accounting profession will depend on its ability to manage this change and to be prepared to adapt to capitalise on new opportunities. In particular, the Big‐5, with their immense size and resource pool, are well placed to respond to and take advantage of these changes in the global business environment. The impact of the response of the Big‐5 to the anticipated market parameters of the new millennium raises a number of interesting issues in terms of the impact they have on the various segments of both the accounting profession and the entire business community.

Arthur Andersen’s conviction and its decision not to audit public firms will transform the Big 5 into the Big 4. Meanwhile, other Big 4 firms face investigations that threaten their future market shares. The article compares the observed post‐scandal shifts in market share with those estimated by a Markov model. It then estimates the year‐by‐year and long‐term market shares that the Big 4 firms would have achieved had they remained untouched by these investigations. The study finds that the absence of Arthur Andersen alone would not have led to excessive market share concentration. It demonstrates how the post‐scandal shifts reveal the impacts of the investigations on the Big 4 firms and provides market share benchmarks against which the firms can evaluate the long‐term effects of the investigations. Finally, the article concludes that a firm’s long‐term gain in market share depends on its ability to retain audit clients.

This paper reports on a study of the efficacy of the Institute of Chartered Accountants of New Zealand's (the Institute) Professional Accounting School (PAS) programme in developing a set of competencies in candidates. The study surveyed Institute candidates' perceptions of their competence levels for 16 specified skills at the commencement and conclusion of the 1999 PAS programme. The findings indicate that candidates perceived their levels of competence, for both cognitive and behavioural skills, to have been significantly improved by the PAS programme. Tests of two secondary hypotheses in the study indicate certain gender‐ and firm‐based differences in the perceived level of competence of candidates. The results of the study provide the Institute with feedback on the PAS programme and facilitate the further development of the programme. Other professional accounting bodies may consider replicating this study using data collected on similar programmes. The results of such studies may then be compared to enhance the existing knowledge of competency development in professional accounting education.

The purpose of this paper is to identify and analyse the interactions among various enablers which are critical to the success of big data initiatives in operations and supply chain management (OSCM).

Fourteen enablers of big data in OSCM have been selected from literature and consequent deliberations with experts from industry. Three different multi criteria decision-making (MCDM) techniques, namely, interpretive structural modeling (ISM), fuzzy total interpretive structural modeling (fuzzy-TISM) and decision-making trial and evaluation laboratory (DEMATEL) have been used to identify driving enablers. Further, common enablers from each technique, their hierarchies and inter-relationships have been established.

The enabler modelings using ISM, Fuzzy-TISM and DEMATEL shows that the top management commitment, financial support for big data initiatives, big data/data science skills, organizational structure and change management program are the most influential/driving enablers. Across all three different techniques, these five different enablers has been identified as the most promising ones to implement big data in OSCM. On the other hand, interpretability of analysis, big data quality management, data capture and storage and data security and privacy have been commonly identified across all three different modeling techniques as the most dependent big data enablers for OSCM.

The MCDM models of big data enablers have been formulated based on the inputs from few domain experts and may not reflect the opinion of whole practitioners community.

The findings enable the decision makers to appropriately choose the desired and drop undesired enablers in implementing the big data initiatives to improve the performance of OSCM. The most common driving big data enablers can be given high priority over others and can significantly enhance the performance of OSCM.

MCDM-based hierarchical models and causal diagram for big data enablers depicting contextual inter-relationships has been proposed which is a new effort for implementation of big data in OSCM.

This study is an empirical examination of Australian auditors' interpretation of selected key uncertainty expressions such as virtual certainty, expected, reasonable assurance and possible, contained in Australian accounting and auditing standards. The results showed three major findings. First, auditors demonstrated a reasonably high degree of variability in the interpretation of uncertainty expressions. In view of the proliferation of uncertainty expressions within international and Australian accounting and auditing standards, this lack of consistency in interpretation of uncertainty expressions raises some serious concerns. Second, compared with the less experienced auditors, the more experienced auditors demonstrated greater variability in their interpretations of uncertainty expressions. Third, contrary to expectations, this study did not find any difference in judgements between auditors in big‐five and non‐big‐five firms. In aggregate, the findings of the study have implications for standard setting.

Prior research addresses relationships between audit attributes and perceptions of both audit quality and auditee satisfaction in the private sector. This study extends such research to local government audits, where audit quality has been questioned. Additionally, this study investigates the effect of auditor size on perceived audit quality and satisfaction. 302 finance directors surveyed positively associated auditor expertise, responsiveness to client, professionalism, understanding of client systems, and study of internal controls with perceived audit quality. Furthermore, auditee satisfaction was positively related to auditor expertise, responsiveness to client, audit manager involvement, understanding of client systems and study of internal controls. Big 5 firms were not associated with higher levels of perceived audit quality or auditee satisfaction, despite charging significantly higher audit fees.

The purpose of this study is to examine the impact of auditor type on management’s choice of forecast precision and management forecast errors, including the effects of corporate governance. The authors use a different sample and a larger period of years to determine whether prior inferences are robust across these dimensions as well as various corporate governance and other control variables.

This quasi-experimental study uses archival data in regression-based analyses.

The authors find firms with Big 5 auditors issue forecasts that have larger forecast errors are biased downward and are less precise. The inferences of this study are robust to the inclusion of corporate governance variables, along with an extensive number of control variables found important in prior studies.

While the sample and time period may be limited, the authors have no evidence this biases the results.

More stringent auditing may have an unintended consequence of reducing the informativeness of management forecasts, as managers act strategically in regards to forecast accuracy, bias and precision.

The inferences of this study indicate that while higher quality audits could constrain earnings management, higher quality audits may induce management to provide forecasts that have greater errors, may be biased and may be less informative.

The results and inferences of this study suggest that the inferences in prior studies hold across a different sample and a different time period. This is important given concerns in the academic community regarding the extent to which prior studies can be replicated.