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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.

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.

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.

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.

We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.

As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.

The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.

Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.

The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.

This study aims to examine the Financial Action Task Force’s recommendations on virtual currencies (VCs) and how Pakistan has responded to them.

Qualitative document and jurisprudence analysis techniques were used to achieve the study’s goal.

According to this study, VCs are modern FinTech that no jurisdiction can ignore. However, Pakistan has not adopted regulations to govern VCs but comprehensively prohibits their use. It is primarily due to the apathy of various regimes and regulators. Furthermore, the geographical location, undocumented economy and rampant corruption could facilitate the abuse of VCs for money laundering.

This study has provided a significant overview for developing regulations for VCs in Pakistan and other developing jurisdictions with the same characteristics.

This paper aims to understand the involvement of women in white-collar crime (WCC) also referred to as pink-collar crimes. WCC is present around the globe and has created a word for itself.

The paper is designed by studying the WCC in the area of Iran, Portugal, Norway, India and the USA.

The paper attempts to move beyond the traditional perspectives of emancipation versus focal concern, which argue that less inequality will increase women involvement in WCC versus women socializing into accepting responsibilities for social concerns by caring for others.

As the data is restricted, this study is based on the limited data available on the internet.

This paper is an original work of the authors.

The purpose of this study is to provide a literature review of the past literature on the use of blockchain for attaining sustainability in start-ups, covering major characteristics of current findings, limitations and prospective study possibilities.

Papers that included the term “Blockchain,” “Sustainability” and “Start-ups” were considered for the analysis. Biblioshiny package under the R programming tool was considered for a detailed paper analysis.

Numerous sectors are quickly adopting blockchain technology, which has enormous potential to remove middlemen and boost sustainability in start-ups.

This research is limited to 147 papers from the Scopus database through 2022.

This paper stresses the crucial part that blockchain technology has played in igniting a conversation about innovation and technology. This research will aid in advancing the researcher’s knowledge of blockchain technology in start-ups.

Blockchain technology will give transparency and sustainable product or services to consumers of the start-ups.

The novelty of this research is based on its presentation of an organized and thorough literature evaluation, which defines the current state of the art concerning the use of blockchain for sustainability in start-ups. To create a sustainable start-up, a thorough study of how the information gained in respect of its implementation might be spread into the start-ups is presented.

This study aims to investigate Bangladesh’s e-commerce regulations in light of the growing criticism that they are insufficient to curb predicate crimes like fraud and money laundering in the online marketplace.

This study used the exploratory design to examine the latest ministerial directives and laws governing e-commerce in Bangladesh to determine why they cannot prevent fraudulent activities in this promising sector and identify potential solutions.

Bangladesh’s regulatory responses to e-commerce fraud prevention and detection are reactive and inadequate. Regulators are unwilling and unable to enforce available legal provisions for various reasons, including a lack of knowledge and coordination among the agencies.

This paper focuses solely on the legal and regulatory framework in place to combat e-commerce fraud. Other critical issues, such as consumer rights, privacy and data protection in e-commerce, are not addressed.

The findings of this study will assist policymakers in revising current regulatory approaches to e-commerce to protect this sector from criminal abuse.

This study looked into the possibility of using a proactive risk-based approach in the e-commerce sector, similar to what the Bangladesh Financial Intelligence Unit does in the financial sector.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation. The formulated objectives are the minimisation of the total allocation cost of the anti-fraud capacities and the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots.

From the literature survey conducted and primary qualitative data gathered from the 17 licenced banks in South Africa on fraud investigators, the suggested fraud investigators are the organisation’s finance department, the internal audit committee, the external risk manager, accountants and forensic accountants. These five human resource capacities were considered for the formulation of the multi-objectives integer programming (MOIP) model. The MOIP model is employed for the optimisation of the employed capacities for cyberfraud mitigation to ensure the effective allocation and utilisation of human resources. Thus, the MOIP model is validated by a genetic algorithm (GA) solver to obtain the Pareto-optimum solution without the violation of the identified constraints.

The formulated objective functions are optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions, which are not dominated by any other feasible solution. These are the feasible choices, which indicate the suitability of the MOIP to achieve the set objectives.

The results obtained indicate the feasibility of simultaneously achieving the minimisation of the total allocation cost of the anti-fraud capacities, or the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots – or the trade-off between them, if they cannot be reached simultaneously. This study recommends the use of an iterative MOIP framework for decision-makers which may aid decision-making with respect to the allocation and utilisation of human resources.

The originality of this work lies in the development of multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation.

The purpose of this study is to assess the impact of cyberfraud in the South African banks with the aim to provide recommendations to effectively mitigate it.

The study uses a qualitative approach involving the use of structured questionnaires. The questionnaires were made available to the staff of 17 licensed banks in South Africa who deal with management, operation, administration and banking services. Two hypotheses were formulated and non-parametric statistical analyses involving the use of Chi-square test, Fischer’s Exact test and Spearman’s correlation were carried out. The two hypotheses formulated were tested to draw a conclusion.

The results obtained indicate that the impact of cyberfraud in the South African banking industry is highly significant and has affected the reputation of some of the banks. This calls for the need to review the diverse ways of curbing cyberfraud to lessen their impact and that of associated fraud risks on the banking operation.

This study provides an analysis on the relationship cyberfraud occurrences and the reputation of South African banks. The implementation of the recommendations may reinforce the existing security measures in the fight against cyberfraud.

The novelty of this study lies in the fact that the assessment of the impact of cyberfraud on the banking industry in South Africa has not been sufficiently highlighted by the existing literature.

The purpose of this paper is to critically analyse the extent of protection available for whistleblowers in South African criminal cases.

This paper first provides a brief background of crime in South Africa and argues that the concept of the whistleblower is just a buss word or collective noun. The methodology of this paper consists of a literature review of whistleblowers and relevant laws that can be used to protect whistleblowers in South African criminal cases.

This paper concludes that the existing law as primarily contained in the Criminal Procedure Act 51 of 1977 provides appropriate protection for whistleblowers in South African criminal cases.

Whistleblowers provide information on criminal, civil and disciplinary wrongdoings. This study focuses on the protection of whistleblowers pursuant to mainly the provisions of the Criminal Procedure Act 51 of 1977.

The originality of this paper lies in the approach to the handling of whistleblowers in South African criminal cases. This is the first research done with the emphasis on the use of mainly the provisions of the Criminal Procedure Act 51 of 1977 to protect whistleblowers in South African criminal cases. The contribution of the study is that, by using this approach, it can provide protection and save lives, and it may enhance the willingness of whistleblowers to blow the whistle, which will be beneficial to the community of South Africa as a whole.