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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 paper aims to identify specific challenges and opportunities when crafting literature reviews of qualitative accounting research. In addition, it offers potential remedies to frequent challenges when conducting such reviews.

This piece is based on recent methodological advice on conducting literature reviews and my own experience when conducting and publishing reviews that primarily cover qualitative accounting research.

The author chart three typical advantages and three typical use cases of literature reviews of qualitative accounting research, as well as the typical process steps and outputs of such reviews. Along with these process steps, The author identifies three overarching specific challenges when conducting such reviews and discusses potential remedies. Overall, this paper suggests that literature reviews of qualitative accounting research feature idiosyncratic challenges but offer specific opportunities at the same time.

To the best of the authors’ knowledge, this paper is among the first to offer advice on the specific challenges and opportunities when conducting literature reviews of qualitative accounting research.

The aim of this paper is to review the main results of accounting research literature examining the role of fair value accounting (FVA) within financial crisis. This research analyzes theoretical and empirical studies on the controversial topic about FVA and its alleged pro-cyclicality in the context of the financial crisis to offer solid reflections for improving the fair value research agenda.

This paper consists of a descriptive literature review. Theoretical and empirical research studies were investigated and then systematized in a framework to guide a literature-based analysis and critique of the relevant literature published about this topic.

The review reveals that there has been only a limited amount of research into the role of FVA within the financial crisis. This topic has not been researched extensively, and there is no empirical evidence that FVA caused the financial crunch and the subsequent financial crisis.

The restricted amount of literature that directly deals with FVA in the context of the financial crisis is the main limitation of this paper. The specificity of the theme narrows the coverage. However, the adopted research methodology enabled the main contributions concerning this issue to be collected, to realize a concise and comprehensive portrait of the debate surrounding FVA and the financial crisis.

This paper can be of use to both researchers and practitioners interested in investigating strengths and weaknesses of the fair value concept for accounting purposes. The paper sets out the main findings of the academic literature and identifies future avenues of theoretical and practical research which may support standard setters to draw up improved accounting regulation.

Few existing studies consist of a literature review that examines theoretical and empirical researches on the influence of FVA on the financial system. This review offers a comprehensive overview on research literature concerning the responsibility of FVA in causing the financial crisis. The main contribution of this paper relates to further understanding the role and effects of accounting matters concerning fair value in a broad sense within the context of the financial crisis.

This paper aims to review the literature on the use of the notion of performativity and its related concepts in accounting research. The literature uses the term performativity in almost diametrically different ways, yet most papers assume that the meaning of the term is self-evident. We build on recent reviews of the notion of performativity and explicate the implicit tensions in the accounting literature, discovering a need to clarify how the accounting literature has explored the processes – how accounting becomes performative – and effects – what is performed – of accounting performativity. The paper develops suggestions for future theoretical and empirical research.

The authors have searched in six leading accounting journals (Accounting, Organizations and Society, Accounting, Auditing and Accountability Journal, Management Accounting Research, Critical Perspectives on Accounting and Qualitative Research in Accounting and Management) for the terms “performativity” and/or “performative” and/or “performable”. This yielded 289 results from which we distilled a core sample of 92 papers which substantially draw on the concept and explicate their use of the term.

The authors find that the accounting literature has paid almost equal attention to the conforming and amplifying effects of performativity but has mostly explored how conditions of performativity are built. Less attention has been paid to how accounting generates multiple worlds and how differences in these worlds are coordinated by accounting. Building institutions and searching for accounting incompleteness have been developed as the two main processes where accounting is made performative.

The paper develops avenues for future research, highlighting the potential for a deeper understanding of how the notion of performativity can be used. We do not advocate homogenizing the literature, instead exploring its fruitful tensions to discover a renewed interest in how accounting is constitutive of existing and/or new worlds. We illustrate this potential by reflecting on the debates about accounting incompleteness and the boundaries of accounting. The authors also suggest the potentials for concepts of performativity in studying emerging phenomena such as big data and sustainability and revisiting the ethics of using accounting as a social and organizational practice.

The literature review explicates differences in the use of the term performativity, which usually remain implicit in the literature. The study develops a framework that attends to both the processes – problematizing the conditions for performativity or not – and effects – conforming and amplifying – of performativity accounting studies have drawn upon, which clarifies how the accounting literature has mobilized the notion of performativity and the contributions the accounting literature has added. Further, the authors extend Vosselman’s (2022) review both in scope and nuance.

The purpose of this paper is to present the results of an analysis of 137 articles concerning accounting in the People's Republic of China (PRC) published in 25 of the mainstream English language accounting journals from 1999 to 2008.

Within the tradition of bibliometric evaluation of literature in scholarly accounting journals, a content analysis is undertaken of the journal articles to identify and evaluate a range of features and trends in relation to publication outlets, authorship, research design and methods and subject matter.

While prior studies have suggested the literature on accounting in the PRC is relatively immature, the analysis reveals an increased sophistication in relation to the subject matter, research paradigms and methods and characteristics of authorship of this literature within mainstream accounting journals.

Since a sample of only 25 mainstream international accounting journals is utilised, there remains obvious potential for examining the literature published in other types and other rankings of journals.

Results of the analysis reveal apparent scope for researchers of accounting in China to investigate a broader range of topics, utilise an extended panoply of research perspectives and methods, and encourage new and emerging researchers to the area.

The paper represents a follow‐up to an earlier study on the topic, providing comparisons and contrasts with that earlier work. Further, the current review also explores significant issues arising from the analysis and provides several suggestions for furthering the research effort in this field.

A gap between research and practice is commonly perceived throughout accounting academia. However, empirical evidence on the magnitude of this detachment remains scarce. The authors provide new evidence to the ongoing debate by introducing a novel topic-based approach to capture the research-practice gap and quantify its extent. They also explore regional differences in the research-practice gap.

The authors apply the unsupervised machine learning approach Latent Dirichlet allocation (LDA) to compare the topical composition of 2,251 articles from six premier research, practice and bridging journals from the USA and Europe between 2009 and 2019. The authors extend the existing methods of summarizing literature and develop metrics that allow researchers to evaluate the research-practice gap. The authors conduct a plethora of additional analyses to corroborate the findings.

The results substantiate a pronounced topic-related research-practice gap in accounting literature and document its statistical significance. Moreover, the authors uncover that this gap is more pronounced in the USA than in Europe, highlighting the importance of institutional differences between academic communities.

The authors objectify the debate about the extent of a research-practice gap and stimulate further discussions about explanations and consequences.

To the best of the authors' knowledge, this is the first paper to deploy a rigorous machine learning approach to measure a topic-based research-practice gap in the accounting literature. Additionally, the authors provide theoretical rationales for the extent and regional differences in the research-practice gap.

The purpose of this paper is to investigate the body of literature on environmental management accounting (EMA) and provides a quantitative overview of the academic as well as the professional literature constituting the field. By doing so, the paper discusses whether EMA has developed as a discipline.

Based on a database containing 814 (396 of them published in academic journals) publications in English, German and French with a publication date prior to 2012 a bibliometric analysis is conducted. Data on the publications, journals, authors and citations were collected, double‐checked and examined by applying bibliometric measures.

The bibliometric analysis identifies trends in EMA research publications which show that EMA has developed as a young discipline, but is still faces challenges to get better established in mainstream accounting and management research. Although the publication number is growing, a substantial part of the publications have been published outside mainstream accounting journals in non‐accounting journals, books and reports. A recent trend towards establishing specialised environmental (and sustainability) accounting journals is also rendered apparent. The low number of highly cited publications of few authors, however, indicates that EMA is still to become a mainstream field of research.

The paper discusses with the help of bibliometric analysis and measures whether EMA has developed as a discipline and whether it has become part of mainstream accounting research.

The Accounting Information Systems (AIS) research field emerged around 30 years ago as a subfield of accounting but is at risk to develop further as an isolated discipline. However, given the importance of digitalization and its relevance for accounting, an amalgamation of the parent research field of accounting and the subfield of accounting information systems is pivotal for continuing relevant research that is of high quality. This study empirically investigates the distance between AIS research that is included in accounting literature and AIS research that prevails in dedicated AIS research outlets.

To understand which topics define AIS research, all articles published in the two leading AIS journals since 2000 were analyzed. Based on this topical inventory, all AIS studies that were published in the top 16 accounting journals, also since 2000, are identified and categorized in terms of topic, subtopic and research methodology. Next, AIS studies published in the general accounting field and AIS studies published in the AIS field were compared in terms of topics and research methodology to gain insights into the distance between the two fields.

The coverage of AIS topics in accounting journals is, to no small extent, concentrated around the topics “information disclosure”, “network technologies” and “audit and control”. Other AIS topics remain underrepresented. A possible explanation might be the focus on archival studies in accounting outlets, but other elements might play a role. The findings suggest that there is only a partial overlap between the parent accounting research field and the AIS subfield, in terms of both topic and research methodology diversity. These findings suggest a considerable distance between both fields, which might hold detrimental consequences in the long run, if no corrective actions are taken.

This is the first in-depth investigation of the distance between the AIS research field and its parent field of accounting. This study helped develop an AIS classification scheme, which can be used in other research endeavors. This study creates awareness of the divergence between the general accounting research field and the AIS subfield. Given the latter's relevance to the accounting profession, isolation or deterioration of the AIS research must be avoided. Some actionable suggestions are provided in the paper.

This chapter traces the evolution of personality trait research in the behavioral accounting literature and offers suggestions for past and future trends. These personality traits include, among others, those measured by the Myers-Briggs Type and Five Factor models (FFMs), Type A/B, tolerance for ambiguity, locus of control, authoritarianism, and the Dark Triad components of narcissism, Machiavellianism, and psychopathy. In a broad spectrum analysis of accounting journals without regard to timing or geographics, we attempt to capture the major phases of personality trait research and provide suggestions as to the surrounding environment for such progressions in the literature. In addition to more established research streams, this chapter also discusses other personality traits that have only been marginally investigated in the accounting literature, and possible directions for future research.

Accounting comparability has been the subject of significant interest in empirical financial accounting research. Recent literature, particularly that following De Franco et al.’s (2011) influential study, has focused on utilizing the output of the financial reporting process to measure accounting comparability. In this paper, we conduct an early survey of studies using output-based measures of comparability. We provide two distinct contributions to the literature. First, we describe and comment on four important measurement concepts as well as the studies that introduced them. With this methodological contribution, we aim to facilitate the measurement choice for empirical accounting researchers engaged in comparability research. Second, we classify the sub-streams of literature and related studies. In providing this content-related contribution, we sum up what has already been achieved in output-based accounting comparability research and highlight potential areas for prospective research. As a whole, our study attempts to guide empirical researchers who (plan to) undertake studies on accounting comparability in selecting relevant topics and choosing adequate approaches to measurement.