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This study aims to empirically examine the influence of Islamic corporate social responsibility (ICSR) on social welfare moderated by financial fraud.

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.

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.

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.

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.

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.

The purpose of this paper is to provide a conceptual discussion and analysis of the Covid-19 impact on financial crime and regulatory compliance. The analysis is conducted to make a comparison of the financial crime and regulatory compliance patterns before and after the Covid-19 pandemic occurred.

This paper contextualises the impact of Covid-19 on financial crime and regulatory compliance. Moreover, this paper explores different ways of conceptualising the Covid-19 impacts in terms of financial crimes and regulatory compliance patterns based on the surveys by PricewaterhouseCoopers and Deloitte.

The Covid-19 pandemic has brought both challenges and opportunities to financial crime and regulatory compliance. In the aspects of financial crime patterns, this study found a reduction in physical crime whilst on the other hand increment in cybercrime. Nevertheless, this study discovered regulatory compliance not at a satisfactory stage even before the Covid-19 pandemic, let alone during the pandemic.

This study implies that the financial institutions must work together to combat the risks of financial crimes, not only amongst the institutions but also with the regulators. Digitalisation and robust risk management need to be improved at a massive level to beat the criminals’ high fintech skills and systems. The initiatives of fund packages from the governments to assist the companies especially the small firms need to be fully used by the companies to improve regulatory compliance.

Whilst some studies discussed the impact of Covid-19 on the economy, there are still scarce resources on the comparative analysis on the financial crime and regulatory compliance, not to mention the before and after effect of the Covid-19 pandemic. This is the first paper to integrate the issues surrounding the Covid-19 impact, financial crimes and regulatory compliance in Malaysia.

This study aims to examine the direct and indirect effects of professional commitment, customer risk and independence pressure on money laundering risk judgment among bank analysts.

This study uses a within-subjects experimental research design and collects primary data via a questionnaire distributed to bank analysts in banking institutions in Malaysia.

Results show that professional commitment, customer risk and independence pressure significantly influence money laundering risk judgment (i.e. customer due diligence and money laundering reporting). The results also show significant interaction effects between customer risk and independence pressure in influencing money laundering risk judgment.

Professional commitment and situational factors are crucial in putting pressure on bank analysts responsible for performing a thorough check and due diligence to minimize money laundering risk to the bank.

As money laundering is lifeblood of crimes, understanding the factors influencing money laundering risk judgment would assist the affected institutions to manage the risk better and contribute towards the fight against crimes.

This study focuses on money laundering risk judgment. It contributes to understanding the competency of the gatekeepers, such as bank analysts, in practicing professional commitment and dealing with situational factors.

This study aims to investigate the impact of ethical accounting practices on financial reporting quality by using the extended theory of planned behaviour (ETPB) and integrating religiosity as a moderating variable.

Using a survey method, data was obtained from 371 chartered accountants who were in good standing as of April 2023. The collected data were then analysed using partial least squares structural equation modelling.

The results revealed that there is a significant positive relationship between ethical accounting practices (attitude, subjective norm, perceived behavioural control and ethical judgement) and financial reporting quality of accounting practitioners. Furthermore, a moderation test was conducted, which demonstrated that religiosity enhances the positive correlation between ethical accounting constructs (attitude, subjective norm and ethical judgement) and financial reporting.

Leading by example, top-level management should actively promote a culture of religiosity that prioritises integrity and adherence to financial reporting requirements.

To the best of the authors’ knowledge, this is one of the very few ethics studies in accounting that demonstrates that the application of the ETPB improves financial reporting quality in a context fraught with allegations of moral breaches by accountants.

This study aims to observe people’s decisions to commit fraud. This study is important in the current time because it provides insights into the development of fraudulent intentions within individuals.

The information used in this study is derived from semi-structured interviews, conducted with 16 high-ranking officials who are employed in Indonesian local government positions.

The study does not have strong evidence to support prior studies assuming that situational factors or social enablers have direct effects on fraud intentions. As suggested, individual factors which are related to moral reasoning (moral judgment and rationalisation) emerge as a consequence of social enablers. The significant role of that moral reasoning is to rationalise any fraud attempt as permissible conduct. As such, when an individual is capable of legitimising his/her fraud attempt into appropriate self-judgement, s/he is more likely to engage in fraudulent behaviours.

This study offers practical prescriptions in guiding the management to develop strategies to curb fraudulent behaviours. The study suggests that moral cognitive reasoning is found to be a parameter of whether fraud is an acceptable option or not. So, an understanding of observers’ moral reasoning is helpful in predicting the likelihood of fraud within an organisation or in detecting it.

This study provides a different perspective on the psychological pathway to fraud. It becomes a complement work for the fraud triangle to explain fraudulent behaviours. Specifically, it provides crucial insights into the underlying motivations that lead individuals to accept invitations to engage in fraudulent activities.

With the worsening of corporate fraud and consequential loss, the growing importance of truthful disclosure is globally advocated. This study aims to examine corporate governance’s role in accountants’ intention to disclose fraudulent practices honestly. At the same time, this study examines intergender differences concerning the formation of the disclosure intention.

Based on the theory of planned behavior (TPB), data from 256 accountants working in China have been collected via an online survey. This data is subsequently analyzed with the partial least square (PLS) structural equation modeling method.

The results revealed that integrity and corporate governance significantly positively affect employees’ attitudes, subjective norms and perceived behavioral control toward disclosure intention. At the same time, it shows that only subjective norm and perceived behavioral control established a significant positive relationship with disclosure intention. It also shows that males display higher attitudes and perceived behavioral control in developing the intention.

This study helps understand accountants’ disclosure intention of fraud practices, especially during shock events such as the COVID-19 pandemic. To the best of the authors’ knowledge, this study is the first to extend the TPB incorporating corporate governance and integrity as antecedents to disclosure intention. At the same time, this study contributes to the existing literature by being the first attempt to investigate intergender differences. Finally, it advances the body of knowledge on employees’ behavior and contributes methodologically by introducing the PLS approach.

This paper investigates the relationship between risk management practices and potential fraudulent financial reporting in Malaysia by considering recent regulatory reforms of the Malaysian government on risk management practices.

The sample of this study was based on 257 firm-year observations during the 2012–2017 period. This study employed panel-least square regressions with period fixed effects.

This study found a significant association between risk management activities in the disclosure and potential fraudulent financial reporting. Nevertheless, this study found there is insignificant effect of the risk-management committee in reducing potential of fraudulent financial reporting.

This study is a pioneer research that relates firms’ risk management practices with potential fraudulent financial reporting measured by F-score. Thus, this study provides an insight to regulators on the extent of risk-management practices in deterring potential fraudulent financial reporting which can be used as an input for greater enforcement of risk-management regulations.

This study aims to compare machine learning models, datasets and splitting training-testing using data mining methods to detect financial statement fraud.

This study uses a quantitative approach from secondary data on the financial reports of companies listed on the Indonesia Stock Exchange in the last ten years, from 2010 to 2019. Research variables use financial and non-financial variables. Indicators of financial statement fraud are determined based on notes or sanctions from regulators and financial statement restatements with special supervision.

The findings show that the Extremely Randomized Trees (ERT) model performs better than other machine learning models. The best original-sampling dataset compared to other dataset treatments. Training testing splitting 80:10 is the best compared to other training-testing splitting treatments. So the ERT model with an original-sampling dataset and 80:10 training-testing splitting are the most appropriate for detecting future financial statement fraud.

This study can be used by regulators, investors, stakeholders and financial crime experts to add insight into better methods of detecting financial statement fraud.

This study proposes a machine learning model that has not been discussed in previous studies and performs comparisons to obtain the best financial statement fraud detection results. Practitioners and academics can use findings for further research development.

The paper aims to examine agrochemical traders’ tax morale in three Ghanaian regions.

Primary data were collected from 92 respondents using structured questionnaires. A multistage sampling technique was employed and used in selecting respondents.. Descriptive statistics, factor analysis and quantile regression analysis were used to analyse data obtained via the questionnaires.

The study found tax reporting knowledge, tax calculating knowledge and tax payment knowledge to be the keen factors influencing agrochemical traders’ tax knowledge. It was also revealed that age, religion and marriage positively influence the tax morale of traders. Inversely, gender, high level of education and monthly sales were found to affect tax morale negatively. Moreover, trust (respect, trustworthiness and expertise knowledge) negatively influenced tax morale. Authorities’ tax knowledge and power (sanction and lockdown) were revealed to impact tax morale positively. However, tax morale decreases amongst agrochemical traders with higher tax morale when sanction increases.

Unlike previous studies which focussed on tax morale amongst individuals and firms outside the agribusiness sector, this study examined the tax morale within the informal agrochemical trading sector, which has recently attracted colossal patronage due to the high usage of agrochemicals amongst farmers in Africa and Ghana. This study also assumed tax morale to be at different levels; hence the factors that affect the morale at different levels differ. Therefore, the study examined the factors influencing tax morale amongst agrochemical traders by segregating tax morale into quartiles. Relating to theory, the economic deterrence theory was used to ground the study, which is not usually used in most tax morale studies.

The purpose of this study is threefold: first, to detect trends in financial statement manipulation; second, to measure the level of manipulation and to measure the variation in manipulation between countries; and, third, to identify widely used techniques in financial statements manipulation.

This study uses financial data of listed companies from Asia, namely, Japan, Singapore, Malaysia, Indonesia, Thailand, Hong Kong and China. The study adopts financial ratios, financial forensic tool, dichotomous approach and statistical tools to analyze the data (84,000 observations) over a period of four years from 2010 to 2013.

The results show that 34 per cent of sample companies in selected Asian countries are involved in the manipulation of financial statements; the average level of manipulation (overall manipulation index) is 72 per cent; and there is a significant difference between countries at 5 per cent level. The study also identifies four most commonly used techniques, namely: days’ sales in receivable (DSRI), depreciation (DEPI), assets quality (AQI) and total accruals to total assets (TATA).

Although this study found a significant national difference between countries in terms of practicing manipulation in financial statements, it did not address the issue of why some countries have higher level of manipulation and greater fluctuations in manipulation than others. Further study could be conducted to look for the reasons on these issues.

Investors and other stakeholders are advised to judge the manipulation in financial statements before fixing up for investment. At least they should examine Sales, Accounts Receivable, Depreciation, Value of Fixed Assets and Accruals data before accepting the financial statement in good faith.

The trend of manipulation in financial statements is increasing day by day and that is why it needs to prevent to protect our society from white collar crime. The cost of white collar crime is much higher and key executives are making money at the expense of investors and other stakeholders. This kind of study creates awareness among stakeholders about the manipulation as well as provides techniques to examine the faithfulness of financial statements. Then, managers will not overstate or understate either revenues or expenses easily, as it can damage the goodwill.

This is the first study of its kind addressing measurement of manipulation score, overall manipulation index (OMI) and identification of widely used variables of manipulation in financial statements are new contributions towards existing literature of earnings manipulation.