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Wisdom is considered as crucial in decision-making in both management and auditing practice. This research aims to investigate the concept of wisdom in auditing, thereby empirically exploring the determinants of wisdom in audit decision-making and explaining inter-relations among these determinants.

This study employs grounded theory methodology that is based on in-depth interviews with twenty-seven practicing auditors who are audit partners, managers, seniors and assistants of auditing firms. Guided by the grounded theory, data collection and data analyses were conducted simultaneously to look into the new insights of the research phenomenon. The coding process was constantly compared until the research's theoretical saturation is reached after four rounds. At the end of the research process, the study conducted a survey to confirm the proposed framework as well as examine the inter-relationships between the defined determinants.

Results suggest developing a conceptual framework to interpret wisdom-based decision-making process in auditing. A wise process of audit decision-making is defined as an integrated exercise of multiple determinants including knowledge assimilation, judgmental ability and ethical orientation. The research also explains and examines the potential interrelationships among these determinants in the audit decision-making process.

Wisdom is a valuable tacit ability for all external auditors. The development of wise decision-making abilities of auditors should be considered an integral part of multiple virtues including knowledge and judgmental and ethical aspects.

The contributions of this study are original and significant because it proposes a new approach to explain for the audit decision-making process and enhances better understandings of the concept of wisdom in auditing practices and its roles in audit decision-making.

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 effect of cash versus equity compensation on audit committee decision-making after the Public Companies Oversight Board’s 2007 censure of Deloitte.

Using a sample of 2,588 firms, this paper uses two different compensation measurements to empirically examine the effect of audit committee compensation on decision-making.

The authors find that audit committee compensation effects the post-censure decision-making of Deloitte’s clients. The results support the hypothesis that cash compensation paid to audit committees influences audit committee members to retain their auditors post-censure. Additionally, there is some evidence to support the hypothesis that equity compensation increases the propensity to switch auditors post-censure.

This study will be of interest to regulators, policymakers and researchers as it provides further evidence in the area of audit committee decision-making and the effect of cash and stock compensation paid to audit committee members.

This study provides empirical evidence of the association between audit committee compensation and audit committee decision-making by investigating the effect of cash-based compensation and stock-based compensation on audit committee decision-making.

The purpose of this paper is to explore the ethical decision making of internal auditors and the impact of corporate governance mechanisms thereon. It also aims to explore whether ethical decision making is influenced by years of experience in internal auditing.

A total of 66 internal auditors were presented with five ethical dilemmas. For each scenario, a key element of corporate governance was manipulated to assess its impact on ethical decision making. These were audit committee support; management integrity regarding accounting policies; management integrity regarding pressure on internal audit; external auditor characteristics; and organisational code of conduct.

Participants were generally sensitive to ethical dilemmas but were not always confident that their peers would act ethically. A higher quality external audit function was positively associated with internal auditors' ethical decision making. However, the strength of other governance mechanisms did not appear to influence ethical decision making. Finally, more experienced internal auditors adopted a more ethical stance in some cases.

The sample was self‐selected and may not be representative of internal auditors in general. The lack of significant results may be due to insufficient variability in the manipulations and/or an oversimplification of reality in our scenarios.

The study has implications for the internal audit profession with respect to training and the provision of support mechanisms to strengthen the ability of internal auditors to withstand pressure when dealing with ethical dilemmas.

This paper is the first to study whether the strength of other governance mechanisms influences internal auditors' ethical decision making.

The effect of affect in accounting contexts has recently attracted interest, but numerous questions still remain. Given that affect can significantly impact a variety of accounting judgments and decisions in theoretically different manners, the purpose of this synthesis is to understand the state of extant accounting literature in affect and identify directions for future research.

This synthesis systematically reviews experimental accounting papers related to affect in both theoretical and functional respects. The authors first elaborate on the affect infusion theory as the theoretical foundation for the synthesis. The authors then present the sampling method. In Section 4, the authors conceptually and factually summarize affect accounting papers in terms of four major functional areas: auditing, managerial/corporate accounting, tax and financial accounting. The implications of moderators examined in some papers are also discussed. Finally, the authors conclude by revisiting the importance of affect in accounting contexts.

Throughout the synthesis, the authors provide future research opportunities with respect to theories, each functional area and other gaps in the accounting literature.

This synthesis contributes to the accounting literature by providing a pathway to understand the development of accounting research on affect, integrating theoretical foundations and offering future research opportunities to advance the literature.

The purpose of this study is to illustrate the potentially detrimental effects on audit decision-making of certain judgmental heuristics, which can lead to systematic judgmental biases. This paper provides background on the heuristics and biases approaches to decision-making to increase auditors' awareness of the anchoring and adjustment effects affecting audit judgments adversely.

This study reports the results of an experimental research design analyzing the audit judgment of 85 auditors in Switzerland.

Based on the results of the experiment, the results indicate evidence on the existence of the anchoring and adjustment heuristic in Swiss audit judgments. The authors could identify an influence of the audit company size, the auditors' experience and the auditors' knowledge about behaviorism and anchor heuristic with regard to the anchoring and adjustment effect on audit judgment.

The experimental tasks were relatively simple abstractions from the more complex analytical review situations faced by practicing auditors. Due to the small sample size, the authors cannot ensure representativeness of the results.

Professional judgment is a skill that auditor acquires overtime, combined with experience and knowledge, that allows him to achieve reasonable judgments, being independent of other opinions and free from material biases in a given circumstance. Our results show that auditors who are aware of biases and heuristics are less prone to judgment biases.

This paper is the first to analyze the impact of auditors' explicit experience and knowledge about behaviorism and anchor heuristic on the anchoring and adjustment effect on audit judgment. Through a stronger awareness of cognitive biases, a professional skepticism can be enhanced.

This research examines the effect of auditors’ personal debt on their audit decision making. We developed two different background scenarios that vary the level of the auditor’s personal debt. While one scenario indicated that the partner lived a modest lifestyle and was relatively free of debt, the other indicated that the partner lived an expensive lifestyle and had considerable personal debt. Our data indicate that auditors receiving the higher personal indebtedness scenario were more likely to believe that the auditor in the case study would sign-off on the audit without doing any additional work. We also found that the propensity to believe that the auditor in the case study would sign-off on the audit without doing any additional work decreased as the participants’ rank within the firm increased. Our research documents that a partner’s level of indebtedness could influence the participant’s audit decisions.

This research aims to explore the perceived usefulness of audited social information in making economic decisions, in the eyes of both Tunisian financial analysts and bankers.

The authors conduct an exploratory qualitative study using twelve semi-structured interviews: seven are carried out with financial analysts, and five are performed among bankers.

This study’s results reveal that financial analysts and bankers paid little attention to the audited social information in making investment/credit granting decisions. The authors also show that the low perceived usefulness of social audit is due to many reasons related to political, economic, regulatory, educational, cultural and cognitive factors.

This study contributes to the current literature in several ways. First, it enriches the knowledge about the perceived usefulness of social audit. To the authors’ knowledge, this is the first study to explore the perception of financial analysts and bankers to audited social information and its usefulness for decision-making. Second, the focus on the Tunisian context is interesting as it was marked, since the outbreak of the Jasmine Revolution, by the uncertainty and the instability of political, economic and social conditions. Third, this research goes further by exploring the most important factors affecting the perceiveness of social auditing.

We conduct an experiment to analyze the impact of a well-established psychological construct, need for cognition, in an audit-related decision context. By simulating a basic audit sampling task, we determine whether the desire to engage in a cognitive process influences decisions made during that task. Specifically, we investigate whether an individual's need for cognition influences the quantity of data collected, the revision of a predetermined sampling plan, and the time taken to make a decision. Additionally, we examine the impact of cost constraints during the decision-making process.

Contrary to results in previous studies, we find those with a higher need for cognition sought less data than those with a lower need for cognition to make an audit sampling decision. In addition, we find that the need for cognition had no relationship to sampling plan revisions or the time needed to make an audit sampling decision. Previous studies regarding the need for cognition did not utilize incremental costs for additional decision-making information. Potentially, these costs provided cognitive challenges that influenced decision outcomes.

This paper aims to examine major cognitive biases in auditors’ analyses involving visualization, as well as proposes practical approaches to address such biases in data visualization.

Using the professional judgment framework of KPMG (2011), this study performs an analysis of whether and how five major types of cognitive biases (framing, availability, overconfidence, anchoring and confirmation) may occur in an auditor’s data visualization and how such biases potentially compromise audit quality.

The analysis suggests that data visualization can trigger and/or aggravate the common cognitive biases in audit. If not properly addressed, such biases may adversely affect auditors' judgment and decision-making.

To ensure that data visualization improves audit efficiency and effectiveness, it is essential that auditors are aware of and successfully address cognitive biases in data visualization. Six practical approaches to debias cognitive biases in auditors’ visualization are proposed: using data visualization to complement rather than supplement traditional audit evidence; positioning data visualization to support rather than replace sophisticated analytics tools; using a dashboard with multiple dimensions; using both visualized and tabular data in analyses; assigning experienced audit staff; and providing pre-audit tutorials on cognitive bias and visualization.

The study raises awareness of psychological issues in an audit setting.