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This study aims to examine the association between Iranian auditors' narcissism and the auditors' professional skepticism.

The authors' sample is comprised of 355 professional auditors working in the private and public sectors in Iranian firms in 2022. The authors use cross-sectional multivariate regression as the main methodology, along with the structural equation modeling (SEM) technique.

The authors find that a higher level of narcissism leads to a greater level of professional skepticism among auditors, which ultimately can enhance the quality of the audit process. The results provided via the robustness tests also supported this finding.

The authors' findings further the understanding of the role of narcissistic personality traits in improving professional skepticism among auditors of an Islamic and emerging country. In addition, audit firms and audit partners can also consider the findings of this study and enhance the effectiveness of audit processes by assigning appropriate employees with certain personalities to specific tasks.

Following recent high-profile audit failures, concern has been expressed that auditors are not demonstrating sufficient skepticism when exercising professional judgment. In particular, client assumptions and estimations relating to hypothetical valuations in financial reporting are not being challenged. This paper seeks to address the issue by advancing a decision-making framework aimed at guiding auditors beyond regulatory reductionist thinking towards an enhanced understanding of the cognitive processes which shape professional judgment in forming a reliable audit opinion.

Drawing on the normative philosophical and theological teachings of Bernard Lonergan, the authors' decision-making framework embodies reflective thinking and the data of consciousness to highlight the central role played by enquiry in the dynamics of understanding, judgment and decision-making. Such enquiry elicits challenge of the management bias inherent in hypothetical valuations.

Auditing through a Lonerganian lens allows auditors to reflect on their approach to objective decision-making by offering a set of cognitive tools to enhance the enquiry essential for nurturing professional skepticism.

This paper contributes to the literature by developing the somewhat neglected discourse on the cognitive processes essential for professional skepticism and audit judgment. The authors demonstrate how Lonerganian self-appropriation intensifies an awareness of the recursive cognitive activities pertinent to objective judgment and decision-making. This awakened consciousness has the potential not only to change how auditors question evidence to make informed judgments and decisions, but also to normalize the practice of challenge.

The paper aims to carry out a comprehensive literature mapping to synthesise and descriptively analyse the research trends of biodiversity accounting, providing implications for managers and policymakers, whilst also outlining a future agenda for scholars.

A bibliometric analysis is carried out by adopting the Preferred Reporting Items for Systematic Review and Meta-Analyses protocol for searching and selecting the scientific contributions to be analysed. Citation analysis is used to map a current research front and a bibliographic coupling is conducted to detect the connection networks in current literature.

Biodiversity accounting is articulated in five thematic clusters (sub-areas), such as “Natural resource management”, “Biodiversity economic evaluation”, “Natural capital accounting”, “Biodiversity accountability” and “Biodiversity disclosure and reporting”. Critical insights emerge from the content analysis of these sub-areas.

The analysis of the thematic evolution of the biodiversity accounting literature provides useful insights to inform both practice and research and infer implications for managers, policymakers and scholars by outlining three main areas of intervention, i.e. adjusting evaluation tools, integrating ecological knowledge and establishing corporate social legitimacy.

Currently, the level of biodiversity reporting is pitifully low. Therefore, organisations should properly manage biodiversity by integrating diverse and sometimes competing forms of knowledge for the stable and resilient flow of ecosystem services for future generations.

This paper not only updates and enriches the current state of the art but also identifies five thematic areas of the biodiversity accounting literature for theoretical and practical considerations.

The purpose of this paper is to examine the effect of subjective ambivalence on ethical consumption behaviors and the role of ethical claims in reducing feelings of ambivalence toward buying ethical products.

The authors conducted two studies. In study 1, the authors carried out an online survey with a sample of 230 French consumers. The authors applied structural equation modeling with Amos to test the relationships among skepticism, ambivalence and ethical consumption behaviors. Study 2 is an experimental design in which the authors manipulated ethical claims (low – few ethical arguments vs. high – many ethical arguments) in advertising (176 French panelists). The authors tested the relationships among consumer ethical sensitivity, perceived brand ethicality, skepticism, ambivalence and intention to purchase an ethical product, depending on ethical claims in advertising.

Study 1 shows that skepticism toward advertising of ethical products amplifies feelings of ambivalence and that ambivalence reduces consumers’ willingness to adopt ethical consumption behaviors. Study 2 shows that strong claims in advertising of ethical products reduce skepticism toward advertising of ethical products and feelings of ambivalence toward buying an ethical product through perceived brand ethicality, with consumers’ ethical sensitivity positively moderating these relationships.

The two studies explore only one form of ambivalence (i.e. subjective), and the experimental study focuses on a single category of products.

The findings highlight the difficulties in promoting ethical products. Consumers need to know if a product is “really” ethical, as they may feel ambivalent toward that product. This paper shows that strong ethical claims in advertising ethical products significantly help to overcome this barrier.

Based on attribution theory and persuasion models, this research reveals how ethical claims in advertising affect feelings of ambivalence, which negatively influence consumers’ willingness to adopt ethical consumption. In addition, it follows a holistic approach to ethical consumption behaviors to explore consumers’ ambivalence.

This study seeks to collaborate with the discussions on the usefulness of the narrative approach in accounting. In this context, this study aims to elaborate small collective stories, developed from interviews, to expose the population’s perception of the social and environmental impact (positive and negative externalities) resulting from iron ore mining in the city of Congonhas-Minas Gerais (MG).

This research, using counternarratives, aims to elaborate small collective stories, developed from 52 interviews, to expose the population’s perception of externalities resulting from the exploitation of iron ore in the city of Congonhas-MG, Brazil, to give more insight for social and environmental accounting reporting. A qualitative investigation is used with a narrative approach that focuses on a specific event in the participants’ lives.

The authors sought to create a sense of collective experiences of the interviewees through narratives representative of the residents’ perception of externalities in the form of small collective stories. However, it can be observed that the local population recognizes the impact of numerous externalities. Likewise, the use of narratives allows the reader to experience another reality – a reflection on the impact of business activities in a given context. Unlike conventional corporate social reporting, models based on qualitative information can be inclusive, produced by/for the community toward action that transforms the local reality.

This study intends to contribute to the debate on reporting models that are developed by and for external stakeholders. This approach has the potential to improve participants’ both awareness and engagement, supporting transformative social action. This study makes several contributions. It contributes to the literature with a narrative approach, which is not often used in the accounting literature; it brings insights from the Latin American context, which is especially valuable given how the Anglo-American accounting literature includes few papers addressing this context; it presents the view of marginalized communities that are too often overlooked (this narrative approach offers important insights into the lived experience of people at a very granular level).

This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.

The storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.

This study examined subjective numeracy and its relationship with accounting judgements on probability issues.

A subjective numeracy scale (SNS) questionnaire was distributed to 231 accounting students to measure self-evaluated numeracy. Modified Bayesian reasoning tasks were applied in an accounting-related probability estimation, manipulating presentation formats.

The study revealed a positive relationship between self-evaluated numeracy and performance in accounting probability estimation. The findings suggest that switching the format of probability expressions from percentages to frequencies can improve the performance of participants with low self-evaluated numeracy.

Adding objective numeracy measurements could enhance results. Future numeracy research could add objective numeracy items and assess whether this influences participants' self-perceived numeracy. Based on this sample population of accounting students, the findings may not apply to large populations of accounting-information users.

Investors' ability to exercise sound judgement depends on the accuracy of their probability estimations. Manipulating the format of probability expressions can improve probability estimation performance in investors with low self-evaluated numeracy.

This study identified a significant performance gap among participants in performing accounting probability estimations: those with high self-evaluated numeracy performed better than those with low self-evaluated numeracy. The authors also explored a method other than additional training to improve participants' performance on probability estimation tasks and discovered that frequency formats enhanced the performance of participants with low self-evaluated numeracy.

This study aims to determine the factors that influence ethical banking behavior among millennials and Gen-Z in Malaysia.

A stratified sample of 525 millennials and Gen-Z of Malaysian banking customers was used. Extended ethical decision-making (EDM) model was tested using partial least square-structural equation model for the analysis.

The findings indicated that the engagement of millennials and Gen-Z in ethical banking is influenced by factors such as intention, judgment and awareness, which shaped both generations’ ethical banking behavior.

This study could be a central reference point and assist banking institutions in understanding the preferences of millennials and Gen-Z.

This study extends the previous EDM model that focused solely on consumer's belief systems. Three aspects differentiate this paper and contribute to its originality, namely, the uniqueness of millennials and Gen-Z behavior, incorporating new variables along with the EDM models and study in Malaysian context.

This paper aims to examine the association between the adoption experience of the International Financial Reporting Standards (IFRS) and the quality of reported earnings in the Gulf Cooperation Council (GCC) region – a region that exhibits several features of emerging economies.

The authors analyse a hand-collected dataset of 222 firms across 4 countries in the GCC region over the period 2012–2017 and measure “IFRS experience” as the number of years since a country has mandatorily adopted the IFRS. In measuring earnings quality, the authors focus on two properties of reported earnings: persistence and accruals quality and employ multivariate regression models based on two-way cluster-robust standard errors and fixed-effects.

This study’s findings suggest that earnings persistence is decreasing, and discretionary accruals are increasing in IFRS experience in the GCC region over the period 2012–2017. The authors conclude that reported earnings quality has declined following IFRS adoption in this sample.

The authors contribute to the IFRS literature in the GCC region, which is in its infancy.

This study’s findings have important policy implications for countries that are about to adopt or are in the early implementation stage of IFRS and suggest that strong enforcement of accounting standards along with improvement in the institutional environments might be needed for improving financial reporting quality.

The authors provide the first cross-country evidence on the relation between IFRS adoption in the GCC region and earnings quality. Moreover, unlike most prior studies, the authors employ a continuous measure that is superior to a binary measure in capturing the effect of IFRS adoption.

This paper’s objective is to provide a systematic literature review of the contextual factors affecting downward communication from supervisors to subordinates in the audit environment. In addition, this review identifies emerging research themes and directions for future research.

I accomplish this review’s objectives by leveraging communication literature to establish a framework to identify and synthesize contextual factors affecting downward communication in the audit environment. The review identifies 50 published articles in the last 20 years from leading accounting and auditing journals.

This study consolidates research findings on downward communication under two primary contextual factors: (1) message and (2) channel. Findings indicate that empirical research examining communication in audit is fragmented and limited. Studies examining the message focus heavily on its content and treatment in the areas of feedback, nonverbal cues, and fraud brainstorming, and a handful of additional studies examine the effectiveness of the channel in these areas. Additional research is needed to understand a broader set of supervisor–subordinate communication practices, including those that are computer-mediated, and their effect on subordinate auditors’ judgments and behaviors in the contemporary audit environment.

Much of the audit literature examining communication to date is topic-versus construct-based, making it difficult to see how the research findings relate to one another. This review is the first to synthesize the literature to provide academics recommendations for a way forward, and inform practitioners of communication practices whereby supervisors can be trained to improve audit quality.