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This study examines the mediating effect of effort on the relationship between performance incentives and audit judgment performance under different levels of task complexity.

Using an experimental research design, subjects are randomly assigned to three performance incentive groups: control, financial and feedback. Each subject is required to perform two experimental tasks of two complexity levels (low and high).

Results indicate that performance incentive variables are positively related to audit judgment performance. Hierarchical regressions of moderated‐mediation analyses support the hypotheses that the mediation effect of effort on the relationship between performance incentives and audit judgment performance occurs under low task complexity and not under high task complexity. In other words, the positive relationship between effort and audit judgment performance is weakened under high task complexity.

The external validity of this study is limited since the audit case contains less information than the real audit environment. This study contends that the expectancy theory can in fact be used to generate empirical prediction on audit judgment performance. The reliance on expectancy theory to supply theoretical mechanism by including the moderating variables provides explanation on when effort should and should not have positive effects on audit judgment performance.

Audit firms need to be careful on the performance incentives offered because incentives affect job output quality. Performance incentives may reduce job turnover and job tension among auditors. In addition, audit firms should ensure that the auditors have proper training to increase their skills and knowledge to help auditors to carry out various job complexities.

This paper can enhance knowledge and understanding on how motivational and environment factors influence audit judgment performance.

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.

The purpose of this paper is to examine the effects of self-efficacy, goal orientation and task complexity on audit judgement performance in correctly linking audit procedures to audit objectives and types of misstatements.

The authors conducted an experiment audit with 154 auditors from small and medium audit firms in Malaysia as participants. The experimental task required them to link audit procedures to audit objectives and types of misstatements.

For sample of auditors from small and medium audit firms in Malaysia, the authors found that learning goal orientation has a stronger effect on audit judgement performance than performance-approach and performance-avoidance goal orientations. Self-efficacy mediates the effect of goal orientation when an audit task is less complex compared to when the task is more complex.

These results highlight the importance of social cognitive factors in explaining variations in audit judgement performance for audit judgement tasks with different levels of complexity.

The incorporation of individual psychological differences as explanatory variables in audit judgement studies may lead to a better understanding of auditors’ judgement and decision-making processes in small and medium audit firms located in developing economies.

The purpose of this paper is to investigate the moderating effect of task complexity on external auditors’ cooperation (EAC), top management empowerment and internal auditors’ independence, which affect internal auditors’ effectiveness in the Jordanian public sector.

This paper utilised 117 usable questionnaires from financial managers and internal audit (IA) managers of the Jordanian public sector institutions. The collected data were analysed using partial least squares-structural equation modelling (PLS-SEM).

The results reveal that EAC, top management empowerment, and internal auditors’ independence are the factors which positively and significantly affect the internal auditors’ effectiveness, as supported by the resource-based theory, with incomplete support for the task complexity’s role as a moderator.

The findings are important for the decision-makers and regulators in introducing new legislation and regulation for the IA profession in the Jordanian public sector.

It is shown that the factors affecting the internal auditors’ effectiveness can definitely enhance their ability to achieve the role of IA in protecting public funds and limiting financial and administrative corrupt practices, particularly in the public sector.

To the best knowledge of the authors, this study is one of the first studies that addresses task complexity as an interaction effect on the factors affecting internal auditors’ effectiveness in the public sector.

In light of the repercussions of the COVID-19 pandemic, electronic auditing otherwise known as computer-assisted audit tools and techniques (CAATTs) has become inevitable to automate the auditing process worldwide. Accordingly, the purpose of this study is to examine the influence of technological, organizational and environmental (TOE) factors on public sector adoption of CAATTs in developing countries such as Jordan under the COVID-19 pandemic conditions.

This study used 136 usable responses from the managers of internal audit (IA) of the Jordanian public sector entities. The data collected were analyzed using partial least squares-structural equation modeling. The TOE framework has been used in this study to consider a wide set of TOE factors. Then, this study suggests a CAATTs adoption model that incorporates the related technology factors of the diffusion of innovation theory to environmental and organizational factors. Further, this study contributes to the TOE framework by addressing government regulations, audit bodies’ support and audit task complexity as environmental factors affecting CAATTs adoption in the context of the public sector.

The results revealed that for technological factors, only the compatibility affects CAATTs adoption by the IA departments. For organizational factors, organizational readiness, top management support, auditors’ information technology competency and entity size were found to be significant factors. From the environmental factors, both government regulation and audit task complexity influence the CAATTs adoption. Besides, entity size moderates the influence of top management support on the CAATTs adoption in the public sector.

The findings could highlight the significance of the CAATTs adoption in the public sector institutions (by internal auditors) post-COVID-19, taking into consideration the TOE framework’s factors. Also, the findings are significant for the decision-makers and regulators in declaring new legislation for the electronic IA profession in the Jordanian public sector.

It turns out that the CAATTs adoption in the public sector can definitely enhance their ability to achieve the role of IA in preserving public funds and restricting corrupt practices within the public sector.

To the best of the authors’ knowledge, this study is one of the first studies that address the professional audit agency support and audit task complexity as environmental factors, as well as the entity size as an organizational factor, that affect CAATTs adoption in the IA department of the public sector.

The purpose of the study is to investigate the factors that may result in a high turnover rate of auditors in Macau. The factors considered include client importance, task complexity, time budget constraints, auditor independence and acceptance of dysfunctional behaviour by Macau's audit firms.

This study involved three stages. In the first stage, interviews were carried out with auditors from Big‐4 (seven interviewees) and local non‐Big‐4 firms (three interviewees) in Macau to investigate the reasons for the high turnover rate amongst auditors in Macau. They were asked to speculate about common explanatory factors. The second stage involved 141 auditors from Big‐4 and local non‐Big‐4 accounting firms who were asked to complete a questionnaire survey for the explanatory factors. A total of 135 usable questionnaires were included in the multiple regression data analysis. The third stage of research comprised follow‐up interviews aimed at learning more about the reasons for dysfunctional behaviour.

This research provides valuable information for audit firms in Macau and will potentially help them to reduce their turnover rate and identify the factors affecting dysfunctional behaviour amongst auditors. The results extend the literature by focusing on the effect of perceived responsibility on professional responses to time budget pressures, task complexity, pressure from clients, and professional and ethical issues.

The challenge facing auditors today is to expand their auditing practices and evolve standards for adequately monitoring the operations of business entities. The current high turnover rate alarms audit firms, which are concerned with training and the provision of sufficient resources to solve the problems that auditors face in the workplace.

This is the first paper to examine the reason for turnover intentions in Macau. This study sheds light on the factors that contribute to individual auditor differences in the acceptance of dysfunctional behaviour that may result from the stressful nature of their duties.

Using Bonner's model, this paper aims to examine the effects of skill level and the two task complexity dimensions – clarity and quantity of information – on subjects' internal control risk assessments.

The research expands the literature by isolating the individual components of task complexity and examining how skill interacts with either component in affecting decision making. It uses a 2×4 mixed factors laboratory experiment. This design allows the effects of task complexity and skill between and within subjects to be examined. The mixed factors design includes two levels (high and low) for each dimension of task complexity (clarity and quantity) on a between‐subjects basis, with four separate cases on a within‐subjects basis. Skill level is measured as the subject's task‐related knowledge. The subjects are senior‐level students in auditing courses at three Midwest universities.

It is found that subjects assess control risk too high, consistent with the conservatism principle. Skill level mediates this finding: high‐skill subjects make more accurate risk assessments; low‐skill subjects consistently assess control risk too high. Over repetitions of complex tasks, high‐skill subjects make more accurate assessments, while low‐skill subjects initially overstate, then improve. For repetitive simple tasks, both skill levels get worse, increasingly overstating their assessments. These findings support current practice, indicating that experienced auditors make complex risk assessments, where repetitive performance of complex tasks improves risk assessments. However, repetitive simple tasks may result in assessing control risk too high, resulting in excessive testing.

Consistent with prior research, the results suggest task complexity and subject skill are important considerations in experimental research designs.

The purpose of this paper is to examine the relationships among time pressure (TP), task complexity (TC), and audit effectiveness (AE). It is motivated by the conflicting results reported in prior TP studies.

The research hypotheses are developed using McGrath's interactional model of the Yerkes‐Dodson Law. Data are collected using a two‐treatment field experiment involving 63 public accountants.

The results show a negative, interactional relationship among TP, TC, and AE.

The first limitation concerns the non‐random procedure used to recruit public accounting firms and auditors. Second, there is the less than perfect operationalization of the TC construct.

First, the findings suggest that public accounting firms may need to resist the urge to reduce the time allowed for performing compliance tests, and provide training to improve the detection rate for all type of compliance deviations. Second, the fact that the rate of change in AE, in response to changes in TP, is different for the two audit tasks studied, suggests that it may not be appropriate for audit planners to assume a uniform TP effect across the various tasks involved in an audit. This insight has implication for the trade‐offs between the lower direct audit costs associated with tighter time budgets, and possible increases in audit risk associated with lower AE.

Two unique aspects of this paper are the operationalization of TP as a continuous random variable and the use of z‐scores to standardize the AE measure.

The primary objective of this research is to investigate the impact of task complexity on users’ performance in the context of using computer‐based technologies with auditing tasks. A laboratory experiment was performed with 121 undergraduate auditing students. The task complexity is defined in form of structured and unstructured tasks. The dependent variables were accuracy in solving problem and certainty of the correctness of solution. The results suggested that the effect of task complexity on accuracy in solving problems was significant for structured tasks. In addition, the significant effect was also found on certainty of the correctness of solution for structured tasks. The findings suggest the strategy for improving user performance in solving problem and certainty of the correctness of solutions toward a given task by giving users a structured task to perform. In addition, the findings also suggest the need for research on how to benefit from using computer‐based technologies in the context of solving structured task.

This paper synthesizes the extant feedback literature, focusing on how feedback affects an auditor’s learning, performance, and motivation. Performance feedback is an important component in the auditing environment for ensuring quality control and for developing and coaching staff auditors. However, the literature on feedback in the audit environment is fragmented and limited making it difficult to assess its behavioral effects on auditors. This paper has three main objectives. The first is to review some of the influential research in psychology and management to identify key variables and issues that appear to be critical in the study of behavioral consequences of feedback in organizational settings. The second is to review performance feedback research specifically in auditing to identify the areas previously examined and synthesize the findings. The third is to suggest a variety of future research opportunities that may assist in developing an understanding and knowledge of the behavioral effects of feedback on auditors. The literature analysis has significant implications for audit research and practice. In particular, the analysis provides important insights into understanding who, how, and when performance feedback should be given to improve its effectiveness in the audit environment.