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The role of big data and data analytics in the audit engagement process is evident. Notwithstanding, understanding how big data influences cognitive processes and, consequently, on the auditors’ judgment decision-making process is limited. The purpose of this paper is to present a conceptual framework on the cognitive process that may influence auditors’ judgment decision-making in the big data environment. The proposed framework predicts the relationships among data visualization integration, data processing modes, task complexity and auditors’ judgment decision-making.

The methodology to accomplish the conceptual framework is based on a thorough literature review that consists of theoretical discussions and comparative studies of other authors’ works and thinking. It also involves summarizing and interpreting previous contributions subjectively and narratively and extending the work in some fashion. Based on this approach, this paper formulates four propositions about data visualization integration, data processing modes, task complexity and auditors’ judgment decision-making. The proposed framework was built from cognitive theory addressing how auditors process data into useful information to make judgment decision-making.

The proposed framework expects that the cognitive process of data visualization integration and intuitive data processing mode will improve auditors’ judgment decision-making. This paper also contends that task complexity may influence the cognitive process of data visualization integration and processing modes because of the voluminous nature of data and the complexity of business processes. Hence, it is also expected that the relationships between data visualization integration and audit judgment decision-making and between processing mode and audit judgment decision-making will be moderated by task complexity.

There is a dearth of studies examining how big data and big data analytics affect auditors’ cognitive processes in making decisions. This paper will help researchers and auditors understand the behavioral consequences of data visualization integration and data processing mode in making judgment decision-making, given a certain level of task complexity.

With the advent of big data and the evolution of innovative audit procedures, the constructed framework can be used as a theoretical foundation for future empirical studies concerning auditors’ judgment decision-making. It highlights the potential of big data to transform the nature and practice of accounting and auditing.

This study aims to investigate the extent, level and pattern of key audit matters (KAMs) reporting by companies listed in the market for alternative investment (MAI) in Thailand, and to test for a relationship between the external auditors and KAMs reporting.

The population and sample used in this study were all companies listed in the MAI. Based on the annual reports issued by the sample of companies from 2016 to 2018, content analysis was used to quantify the KAMs reporting in the audit reports by using word counting and a checklist. Descriptive analysis, correlation matrix and multiple regression were used to analyse the data.

The results showed that the word counts of KAMs reporting fluctuated around 600 words during the three year period studied, while the number of issues on which KAMs reporting was performed was similar each year with an average of 1.63 KAMs issues per company. Moreover, the study found a significant positive relationship between auditor type, audit fees and the level of KAMs reporting.

This is the first longitudinal study of the KAMs reporting of companies listed in the alternative capital market in Thailand.

Communication and legitimacy theories were found to offer cogent explanations explaining the quality of and reasons for KAMs reporting by Thai listed companies as a reaction to the need for quality communication between external auditors and company stakeholders, based on external pressure due to societal expectations.

This paper aims to recommend a framework that serves as a practical work tool for conducting risk-based Shari’ah audit (RBSA) in Islamic financial institutions (IFIs).

Qualitative research method was used through critical in-depth content analysis of documented literature to generate deep insights, further supported with a hypothetical illustrative case study application of the framework on an Islamic bank, aimed at bringing the framework to a practical, near real-life scenario.

A robust RBSA framework has been developed which focuses on Shari’ah non-compliance risks to systematically and practically arrive at a rated opinion on the level of an IFI’s adherence with Shari’ah rules and principles as recommended by the Accounting and Auditing Organization for Islamic Financial Institutions, aimed to safeguard the IFI and promote financial system stability at large.

Practical realities limited the study to the use of a hypothetical case study bank. Future researchers can apply the framework to a real case study of diverse IFIs for effective contextual recalibration in diverse jurisdictions.

This paper aids the development of both internal and external Shari’ah audit practice using the risk-based approach.

The RBSA framework contributes to promoting public trust and confidence in the Islamic finance industry.

This paper has proposed this RBSA framework as a practical work tool for Shari’ah auditors in their engagements and regulators in promoting sound governance and financial system stability. It provides foundation for future researchers in the field.

It is argued that the going concern opinion is issued if auditors have a doubt about financial condition of a company. Provision of the going concern audit opinion may worsen the company in terms of gaining public trust and may even indicate bankruptcy. This study aims to determine the factors that affect the auditor's going concern opinion.

This research used secondary data obtained from annual reports and independent audit reports published by the Indonesia Stock Exchange. The population of this research included manufacturing firms registered in the Indonesia Stock Exchange from 2015 to 2019. The sample after the purposive sampling technique being applied consisted of 33 companies. The data were analyzed using logistic regression performed in the statistical analysis software, SPSS 24.0.

The results indicated that leverage positively affected the going concern audit opinion, then the audit quality, profitability and liquidity negatively affected the going concern audit opinion, whereas firm size and audit lag did not affect the going concern audit opinion.

This study is in contrast to several existing studies on the determinants of the auditor's going concern opinion and provides knowledge on developing more factors affecting the auditor's going concern opinion.

Changes in structure and conceptual underpinnings of ISO 9001 mean that quality management system (QMS) auditors require a wide knowledge base and skill set to effectively evaluate contemporary QMS and add value to the process. Hence, this study presents an open curriculum framework of the knowledge, skills and attributes for quality auditor education.

This study describes the first two phases of a three-phase study examining the educational requirements for external quality auditors (EQAs). Phase 1 involved a review of relevant international literature on auditor competence and education; Phase 2 involved the collection of qualitative data from a panel of experts, combined with the initial round of a Delphi study. A thematic analysis was used to analyze the findings from the questionnaire.

The findings of this study suggests there is a need to improve EQAs education, as most experts reported the quality of audit to be variable, inconsistent, poor and diminishing in value. The most important improvements to auditor education are to update and improve the auditors' knowledge on the requirements of the ISO 9001 standard and technology in business and skills such as report writing, communication, IT understanding and analytical ability. Some of the attributes reported as being desirable to instill in EQAs include the following: objectivity, integrity, ethics and professionalism; being observant, perceptive, articulate and confident; having good judgment; flexibility, adaptivity and diplomacy, fairness and open-mindedness.

This study highlights the need for wider EQA education based on the gap identified in its performance. The resulting framework can be adopted by accreditation and certification bodies to evaluate and improve their auditors' audit performance.