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1 – 10 of 30
Open Access
Article
Publication date: 30 November 2023

Domenico Campa, Alberto Quagli and Paola Ramassa

This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.

1563

Abstract

Purpose

This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.

Design/methodology/approach

This literature review includes both qualitative and quantitative studies, based on the idea that the findings from different research paradigms can shed light on the complex interactions between different financial reporting controls. The authors use a mixed-methods research synthesis and select 64 accounting journal articles to analyze the main proxies for fraud, the stages of the fraud process under investigation and the roles played by auditors and enforcers.

Findings

The study highlights heterogeneity with respect to the terms and concepts used to capture the fraud phenomenon, a fragmentation in terms of the measures used in quantitative studies and a low level of detail in the fraud analysis. The review also shows a limited number of case studies and a lack of focus on the interaction and interplay between enforcers and auditors.

Research limitations/implications

This study outlines directions for future accounting research on fraud.

Practical implications

The analysis underscores the need for the academic community, policymakers and practitioners to work together to prevent the destructive economic and social consequences of fraud in an increasingly complex and interconnected environment.

Originality/value

This study differs from previous literature reviews that focus on a single monitoring mechanism or deal with fraud in a broadly manner by discussing how the accounting literature addresses the roles and the complex interplay between enforcers and auditors in the context of accounting fraud.

Details

Journal of Accounting Literature, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-4607

Keywords

Open Access
Article
Publication date: 28 August 2019

Mark Lokanan, Vincent Tran and Nam Hoai Vuong

The purpose of this paper is to evaluate the possibility of rating the credit worthiness of a firm’s quarterly financial report using a dynamic anomaly detection method.

16279

Abstract

Purpose

The purpose of this paper is to evaluate the possibility of rating the credit worthiness of a firm’s quarterly financial report using a dynamic anomaly detection method.

Design/methodology/approach

The study uses a data set containing financial statements from Quarter 1 – 2001 to Quarter 4 – 2016 of 937 Vietnamese listed firms. In sum, 24 fundamental financial indices are chosen as control variables. The study employs the Mahalanobis distance to measure the proximity of each data point from the centroid of the distribution to point out the extent of the anomaly.

Findings

The finding shows that the model is capable of ranking quarterly financial reports in terms of credit worthiness. The execution of the model on all observations also revealed that most financial statements of Vietnamese listed firms are trustworthy, while almost a quarter of them are highly anomalous and questionable.

Research limitations/implications

The study faces several limitations, including the availability of genuine accounting data from stock exchanges, the strong assumptions of a simple statistical distribution, the restricted timeframe of financial data and the sensitivity of the thresholds for anomaly levels.

Practical implications

The study opens an avenue for ordinary users of financial information to process the data and question the validity of the numbers presented by listed firms. Furthermore, if fraud information is available, similar research can be conducted to examine the tendency for companies with anomalous financial reports to commit fraud.

Originality/value

This is the first paper of its kind that attempts to build an anomaly detection model for Vietnamese listed companies.

Details

Asian Journal of Accounting Research, vol. 4 no. 2
Type: Research Article
ISSN: 2443-4175

Keywords

Open Access
Article
Publication date: 19 April 2023

Milad Soltani, Alexios Kythreotis and Arash Roshanpoor

The emergence of machine learning has opened a new way for researchers. It allows them to supplement the traditional manual methods for conducting a literature review and turning…

3752

Abstract

Purpose

The emergence of machine learning has opened a new way for researchers. It allows them to supplement the traditional manual methods for conducting a literature review and turning it into smart literature. This study aims to present a framework for incorporating machine learning into financial statement fraud (FSF) literature analysis. This framework facilitates the analysis of a large amount of literature to show the trend of the field and identify the most productive authors, journals and potential areas for future research.

Design/methodology/approach

In this study, a framework was introduced that merges bibliometric analysis techniques such as word frequency, co-word analysis and coauthorship analysis with the Latent Dirichlet Allocation topic modeling approach. This framework was used to uncover subtopics from 20 years of financial fraud research articles. Furthermore, the hierarchical clustering method was used on selected subtopics to demonstrate the primary contexts in the literature on FSF.

Findings

This study has contributed to the literature in two ways. First, this study has determined the top journals, articles, countries and keywords based on various bibliometric metrics. Second, using topic modeling and then hierarchy clustering, this study demonstrates the four primary contexts in FSF detection.

Research limitations/implications

In this study, the authors tried to comprehensively view the studies related to financial fraud conducted over two decades. However, this research has limitations that can be an opportunity for future researchers. The first limitation is due to language bias. This study has focused on English language articles, so it is suggested that other researchers consider other languages as well. The second limitation is caused by citation bias. In this study, the authors tried to show the top articles based on the citation criteria. However, judging based on citation alone can be misleading. Therefore, this study suggests that the researchers consider other measures to check the citation quality and assess the studies’ precision by applying meta-analysis.

Originality/value

Despite the popularity of bibliometric analysis and topic modeling, there have been limited efforts to use machine learning for literature review. This novel approach of using hierarchical clustering on topic modeling results enable us to uncover four primary contexts. Furthermore, this method allowed us to show the keywords of each context and highlight significant articles within each context.

Details

Journal of Financial Crime, vol. 30 no. 5
Type: Research Article
ISSN: 1359-0790

Keywords

Open Access
Article
Publication date: 8 February 2023

Giacomo Pigatto, Lino Cinquini, Andrea Tenucci and John Dumay

This study is an analysis that aims to understand the rationale behind the concept of value creation contained in the integrated reporting (IR) framework. As such, the authors…

3042

Abstract

Purpose

This study is an analysis that aims to understand the rationale behind the concept of value creation contained in the integrated reporting (IR) framework. As such, the authors examined the quality of the disclosures made in integrated reports by measuring the level to which the six capitals (6Cs) have been integrated into disclosures on value creation.

Design/methodology/approach

The IR framework’s value creation model focuses on six content elements and three guiding principles. Hence, the present analysis combines content analysis with quantitative measures in the form of a bespoke Integrated Disclosure Index. The index measures the level of integration found in the disclosures instead of the mere presence or absence of mentioned capitals, content elements and guiding principles in isolation. The present sample comprised the 2016 integrated/sustainability reports for 184 listed companies sourced from the Integrated Reporting Examples Database.

Findings

The 6Cs are well disclosed in form but only partially disclosed in substance. Further, overall levels of integration between the capitals, the content elements and the guiding principles are higher than average. Disclosures on materiality, business models and stakeholder relationships are somewhat lacking, as are the related medium- and long-term disclosures on outlook.

Practical implications

The paper contributes to the academic debate on IR by building a case for holistically assessing the substance of integrated reports. Considering that the IR value creation model can underpin and align with the 17 UN sustainable development goals, the authors show how the fundamental concept of the 6Cs sustaining value creation is understood and implemented differently across the various elements and principles of the IR framework.

Social implications

This research also provides guidance for overcoming some of the practical hurdles associated with assessing the quality of reports because the authors provide tools for spotlighting the substance of disclosures over their form.

Originality/value

This paper delves into the substance of integrated reports by assessing how well the 6Cs have been integrated into disclosures on the content elements and guiding principles of the IR framework. In contrast to previous IR research that has mainly analysed capital, elements and principles in isolation, the authors develop an index assessing the integration of these three fundamental concepts of IR.

Details

Sustainability Accounting, Management and Policy Journal, vol. 14 no. 7
Type: Research Article
ISSN: 2040-8021

Keywords

Open Access
Article
Publication date: 23 October 2023

Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Frank Maisano and Mats Danielson

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted…

Abstract

Purpose

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

Design/methodology/approach

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

Findings

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

Practical implications

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

Social implications

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

Originality/value

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

Details

Sustainability Accounting, Management and Policy Journal, vol. 14 no. 7
Type: Research Article
ISSN: 2040-8021

Keywords

Open Access
Article
Publication date: 24 August 2022

Antonio D’Andreamatteo, Giuseppe Grossi, Giorgia Mattei and Massimo Sargiacomo

This paper aims to explore how the phenomena of corruption and fraud in the public sector have been portrayed in the literature using the Audit Society Framework (Power, 1997).

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Abstract

Purpose

This paper aims to explore how the phenomena of corruption and fraud in the public sector have been portrayed in the literature using the Audit Society Framework (Power, 1997).

Design/methodology/approach

The authors conducted a structured literature review (Massaro et al., 2016) to unveil relevant literature in the area of corruption and fraud in the public sector.

Findings

Results highlight that the literature using “The Audit Society” theory is still scant. Notwithstanding the call for a more decisive role of auditors in fighting corruption and fraud, much is still to be discovered about consequences of auditing and what “good quality” is.

Research limitations/implications

The main limitation is that only literature in English has been included.

Practical implications

This paper helps practitioners and policymakers to take and implement informed decisions with regards to the fight against fraud and corruption.

Social implications

In calling for more research in the domain of audit, fraud and corruption in the public sector, this paper promotes a higher focus of society on public interest and the common good.

Originality/value

This paper investigates one part of The Audit Society related to corruption and fraud, topics that are still very underdeveloped and unexplored by researchers. From the findings the authors suggest possible new avenues for further research.

Details

Qualitative Research in Accounting & Management, vol. 21 no. 1
Type: Research Article
ISSN: 1176-6093

Keywords

Open Access
Article
Publication date: 28 April 2022

Aluthgama Guruge Deepal and Ariyarathna Jayamaha

This paper reviews a substantial body of scholarly work on the audit expectation gap (AEG) for many years and aims to construct a new synthesis of the existing knowledge of the…

8245

Abstract

Purpose

This paper reviews a substantial body of scholarly work on the audit expectation gap (AEG) for many years and aims to construct a new synthesis of the existing knowledge of the AEG discovered by numerous scholars in the world.

Design/methodology/approach

A broad search of the literature was conducted using a few AEG related keywords in the Google Scholar search engine and two databases of Scopus and Emerald from 1974 to 2021. Only the articles published in reputable journals concerning the AEG were selected after applying some selection criteria.

Findings

The concept of AEG is a multidimensional concept. Different causes for the AEG were identified, and several strategies were summarized into major promising strategies for narrowing it. It was found that the AEG cannot be eradicated entirely from society.

Practical implications

This review of the literature will be of interest to auditors, financial statement users, regulatory agencies, and policymakers, among other parties. Further, this AEG synthesis may be useful in understanding misperceptions and determining how they differ across diverse stakeholders.

Originality/value

There is a dearth of literature review studies incorporating all the facets of AEG. Hence, this study incorporates all those facets, namely research methods and instruments and dimensions used along with causes and mechanisms to narrow down the AEG while addressing the gaps and highlighting the themes for future research. Finally, a fresh, yet more straightforward definition was generated as a result of the comprehensive review of the literature, adding novelty to the extant literature.

Details

Asian Journal of Accounting Research, vol. 7 no. 3
Type: Research Article
ISSN: 2443-4175

Keywords

Open Access
Article
Publication date: 18 March 2020

Stefano Azzali and Tatiana Mazza

The purpose of this paper is to analyze the effects of financial restatements (FRs) on the likelihood of the top management team (TMT) dismissal. It investigates the effects of…

1294

Abstract

Purpose

The purpose of this paper is to analyze the effects of financial restatements (FRs) on the likelihood of the top management team (TMT) dismissal. It investigates the effects of types of FRs [corrective note and reissuance of financial statement (RFS)], of FR severity and of FR related to international financial reporting standards (IFRSs) easy or difficult-to-estimate.

Design/methodology/approach

The authors hand-collect: data about 96 FRs from the Italian public oversight board documents; chief executive officer (CEO) name, chairman name, year of the financial statement under investigation, total assets and operating income, from their financial statement. The authors use multivariate regression to test the effects of FRs on the probability of TMT dismissal.

Findings

The authors find that the RFS leads to a higher likelihood of chairman dismissal. A greater magnitude of misrepresentation on income statements, and FRs, which decrease net income, increase the likelihood of CEO dismissal. Difficult-to-estimate IFRSs increases the likelihood of CEO dismissal.

Originality/value

FRs are significant determinants of the CEO/chairman dismissal. The authors show that FRs directly involving shareholders (RFS) have negative consequences on the chairman of the board of directors, while the CEO is more affected by FRs that involve technical factors (FR severity or financial statement associated with difficult-to-estimate IFRSs).

Details

Corporate Governance: The International Journal of Business in Society, vol. 20 no. 3
Type: Research Article
ISSN: 1472-0701

Keywords

Open Access
Article
Publication date: 12 December 2022

Amjad Suri, Abdullah Al-Hadrami, Adel Sarea and Ali ElAsad

The main purpose of the Dubai Electricity and Water Authority (DEWA) sustainability case is to allow students to explore how nonfinancial information reported in sustainability…

2244

Abstract

Purpose

The main purpose of the Dubai Electricity and Water Authority (DEWA) sustainability case is to allow students to explore how nonfinancial information reported in sustainability plays a vital role in maintaining a trade-off between current economic pressure and future environmental needs.

Design/methodology/approach

This is an exploratory study in nature using a qualitative case study approach. The case requires an examination of DEWA's sustainability reporting (SR) in the context of Global Reporting Initiatives (GRIs). This case is designed to assist students in gauging DEWA's sustainability and explore how the company evaluates the materiality of sustainability issues.

Findings

With stakeholders' and investors' increased interest in sustainability, the authors argue that accounting programs should incorporate this topic into their curricula. The case enables students to focus on sustainability-related initiatives with DEWA that are aligned with GRI initiatives. The case might be instructive for both undergraduate and postgraduate students studying environmental and management accounting.

Originality/value

This case study is the first of its kind in the Gulf Cooperation Council (GCC) region to comprehensively analyze DEWA's sustainability practices concerning GRI-based SR. This study widens the understanding of DEWA's implementation of GRI standards in the preparation of its sustainability reports.

Details

Journal of Business and Socio-economic Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2635-1374

Keywords

Open Access
Article
Publication date: 1 March 2023

Francesco Leoni, Martina Carraro, Erin McAuliffe and Stefano Maffei

The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a…

1078

Abstract

Purpose

The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective.

Design/methodology/approach

A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework.

Findings

This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected.

Research limitations/implications

The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases.

Originality/value

This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.

Details

Transforming Government: People, Process and Policy, vol. 17 no. 3
Type: Research Article
ISSN: 1750-6166

Keywords

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