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1 – 10 of over 1000Tarjo Tarjo, Alexander Anggono, Zakik Zakik, Shahrina Md Nordin and Unggul Priyadi
This study aims to empirically examine the influence of Islamic corporate social responsibility (ICSR) on social welfare moderated by financial fraud.
Abstract
Purpose
This study aims to empirically examine the influence of Islamic corporate social responsibility (ICSR) on social welfare moderated by financial fraud.
Design/methodology/approach
The method used was the mix method. The number of respondents was 410. They combined the moderate regression analysis with PROCESS Andrew F Hayes to test the research hypothesis. After conducting the survey, it was continued by conducting interviews with the village community and the head of the village.
Findings
The first finding of this study is that ICSR has a significant positive effect on social welfare. The second finding is that financial fraud weakens the influence of ICSR on social welfare. The results of the interviews also confirmed the two findings of this study.
Research limitations/implications
The high level of bias in answering the questions is due to the low public knowledge of ICSR. In addition, the interviews still needed to involve the oil and gas companies and government.
Practical implications
The main implication is improving social welfare, especially for those affected by offshore oil drilling. Furthermore, stakeholders are more sensitive to the adverse effects of financial fraud. Finally, to make drilling companies more transparent and on target in implementing ICSR.
Originality/value
The main novelty in this research is using of the mixed method. In addition, applying financial fraud as a moderating variable is rarely studied empirically.
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According to the Association of Certified Fraud Examiners, financial statement fraud represents the smallest amount of fraud cases but results in the greatest monetary loss. The…
Abstract
Purpose
According to the Association of Certified Fraud Examiners, financial statement fraud represents the smallest amount of fraud cases but results in the greatest monetary loss. The researcher previously investigated the characteristics of financial statement fraud and determined the presence of 16 fraud indicators. The purpose of this study is to establish whether investors and other stakeholders can detect and identify financial statement fraud using these characteristics in an analysis of a company’s annual report.
Design/methodology/approach
This study analyses a financial statement fraud case, using the same techniques that were previously applied, including horizontal, vertical and ratio analysis. These are preferred because stakeholders have relatively easy access to them.
Findings
The findings show several fraud characteristics, with a few additional ones not previously found prevalent. Financial statement fraud thus tends to differ between cases. It is also easier to detect and identify fraud indicators ex post facto.
Originality/value
This study is a practical case showing that financial statement fraud can be detected and identified in the financial statements of companies that commit fraud.
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This study aims to explore the relationship between fraud triangle theory (FTT) and the accounting fraud phenomenon in all listed companies in China.
Abstract
Purpose
This study aims to explore the relationship between fraud triangle theory (FTT) and the accounting fraud phenomenon in all listed companies in China.
Design/methodology/approach
The CSMAR database is used as the sample, including 16,063 data of all listed companies in Shanghai and Shenzhen markets for the 2010–2020 period. The authors also use quantitative methods, such as regression analysis, to investigate the relationship between five variables (cover three elements of FTT) and fraud occurrence.
Findings
Results show that leverage and liquidity ratios positively affect fraud detection, whereas return on net equity, audit size and independent director percentage negatively affect fraud detection.
Originality/value
This study enriches theoretical research on the causes of accounting fraud in China and is of great significance to the sound development of China’s capital market.
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The criminalization of online financial fraud is examined by analyzing the existing literature, policies and state statutes within the context of the cybercrime ecosystem…
Abstract
Purpose
The criminalization of online financial fraud is examined by analyzing the existing literature, policies and state statutes within the context of the cybercrime ecosystem. Therefore, this paper aims to investigate online fraud policies within the USA and the prevalence of such incidents to explore the effectiveness of current fraud policies.
Design/methodology/approach
This examination explores policies related to online fraud within the USA by defining online financial fraud incidents within the context of the cybercrime ecosystem and analyzing such incidents with routine activities theory to emphasize the current legislative inadequacies with provisional policy recommendations.
Findings
This research suggests online financial fraud is not unanimously conceptualized among regulating or criminal institutions. Although federal regulators have governed financial institutions, federal institutions have failed to account for the capabilities of computer-mediated and technological device use (12 USC §1829).
Research limitations/implications
The limited research analyzing the effectiveness of guardianship that prevents or deters internet-mitigated or dependent financial fraud crimes.
Practical implications
Policy recommendations include but are not limited to mandating federal and privatized financial institutions to disclose all fraudulent activity to all stakeholders (e.g. customers and local and federal criminal justice agencies).
Originality/value
This paper provides an innovative approach using a criminological theory and policy framework to examine the prevalence of online fraud and the regulations enacted to counteract such violations.
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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.
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.
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Shafeeq Ahmed Ali, Mohammad H. Allaymoun, Ahmad Yahia Mustafa Al Astal and Rehab Saleh
This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter…
Abstract
This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter describes the various phases of the big data analysis cycle, including discovery, data preparation, model planning, model building, operationalization, and communicating results, and how the Kareem Exchange Company team implemented each phase. This chapter emphasizes the importance of identifying the business problem, understanding the resources and stakeholders involved, and developing an initial hypothesis to guide the analysis. The case study results demonstrate the potential of big data analysis to improve fraud detection capabilities in financial institutions, leading to informed decision making and action.
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Katelyn A. Golladay and Jamie A. Snyder
This study expands the empirical understanding of financial fraud victims and the consequences that emerge as a result of financial fraud victimization. In addition, this study…
Abstract
Purpose
This study expands the empirical understanding of financial fraud victims and the consequences that emerge as a result of financial fraud victimization. In addition, this study aims to assess the impact of the unique role victims play in financial fraud and the impact self-identifying as a victim has on the negative consequences they experience.
Design/methodology/approach
Data from the Supplemental Fraud Survey to the National Crime Victimization Survey are used to assess the negative consequences of financial fraud victimization.
Findings
Results suggest that victims of financial fraud experience increased distress and financial complications following their victimization experience. In addition, self-reported victim status is found to significantly increase a respondent’s likelihood of reporting emotional distress and financial complications. Implications for research, theory and policy are discussed.
Originality/value
While empirical studies on the consequences of identity theft victimization have been increasing in recent years, financial fraud victimization remains understudied. Given the victim involvement in financial fraud, the consideration of financial fraud independent of identity theft fraud is vital.
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Ach Maulidi, Nanang Shonhadji, Fachruzzaman, Rida Perwita Sari, Dian Anita Nuswantara and Rindang Widuri
The purpose of this study is to examine whether female chief financial officers (CFOs) are associated with the occurrences of financial reporting fraud. This study offers new…
Abstract
Purpose
The purpose of this study is to examine whether female chief financial officers (CFOs) are associated with the occurrences of financial reporting fraud. This study offers new theoretical and empirical evidence on whether firms with more female CFOs are more (less) likely to engage in financial reporting fraud.
Design/methodology/approach
This study is based on a sample of US-listed firms from 2011 to 2021. The authors speculate that female CFOs play a weaker role in the occurrences of financial reporting fraud. So, firms with a proportional number of female CFOs should be less likely to commit financial reporting fraud.
Findings
The data provide support for the predictions of this study. This study suggests a negative and significant association between the dummy variables for female CFOs and the occurrences of financial reporting fraud. The authors find that this association is contingent on governance mechanisms [e.g. ownership structure, politically connected CEOs and firms' conditions that do (or do not) invest in a gender-diverse board].
Originality/value
This study offers different perspectives on the impact of female CFOs on the occurrences of financial reporting fraud. The results of this study are distinguishable from prior studies. This study moves the analytical focus from the macro level (gender diversity or female corporate leaders) to the micro level (female CFOs) to understand firms' propensity to commit financial reporting fraud. Additionally, this study is based on factual financial reporting fraud cases, considering the US firms' fraud characteristics.
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Sohail Rizwan and Sumayya Chughtai
The study aims to yield evidence on the relation between the quality of governance characteristics and the firms' financial credibility involved in financial violations.
Abstract
Purpose
The study aims to yield evidence on the relation between the quality of governance characteristics and the firms' financial credibility involved in financial violations.
Design/methodology/approach
The study uses annual data ranging from 2000 to 2018. The sample consists of 154 nonfinancial firms listed on the Pakistan Stock Exchange, comprising 77 fraudulent and 77 non-fraudulent companies. To examine the relationship between improvements in the governance structure and financial credibility of the firms, hypotheses are tested using the univariate analysis and multivariate regression model through the ordinary least square method.
Findings
The results affirm that fraud firms are possessed with poor governance structure compared to control firms in the pre-fraud year. The findings further imply that an improved governance structure brings foremost performance in stock price. The results of the study divulge that board of directors characteristic i.e. change in outside directors' percentage has a significant positive impact (β = 0.015, p = 0.05) on the financial credibility of the firms. The governance variables in terms of CEO-COB joint position has a significant negative (β = −0.824, p = 0.05) association with the financial credibility, which means that whenever CEO-COB joint position enhances, the financial credibility of the firms decreases. However, governance variables in the context of blockholders percentage has a significant positive (β = 0.13, p = 0.01) impact on financial credibility. The results of the study overall indicate that the governance structure has a significant influence on the financial performance of firms in the stock market.
Originality/value
The study provides an understanding of how fraudulent firms rehabilitate their governance structure and accrue economic benefits by the means of financial credibility after when the fraud is made public. It also adds to the literature in the area of corporate frauds specifically the role of governance structure in the financial performance of fraudulent firms in the stock market; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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