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When an individual leaves evidence to suggest that they are dead to mislead others, they are committing “pseudocide.” This study aims to examine pseudocides performed for the purpose of committing or concealing a financial crime.

This manuscript summarizes information from both academic and nonacademic publications. To provide evidence related to the conclusions made by prior authors and identify the risk factors that are often indicative of pseudocide, this manuscript examines the characteristics of pseudocides that received media coverage.

Pseudocides that receive media coverage often involve a prominent figure or a compelling story. These stories are not representative of the average pseudocide, which receives no publicity because it occurs in a less developed nation and is committed by a nonpublic figure. Common characteristics include the absence of a corpse and paperwork procured through bribery.

One of the only academic papers focused on pseudocide, this manuscript provides readers with information related to the scope of the issue, common methodologies and factors indicative of pseudocide. This should be of interest to several parties including forensic accountants, insurers, regulators and academics.

This study aims to determine the applicability of the placement-layering-integration model of money laundering (ML) in the South Asian context with emphasis on Pakistan by analysing different ML typologies.

This study applied content analysis in the first step. It explored three primary documents concerning ML typologies: Asia Pacific Group’s yearly reports on ML typologies from 2010 to 2021, the mutual evaluation reports and the National Risk Assessment of Pakistan. In the second step, expert interviews were recorded, and NVivo was used for data management and analysis.

This study found primary predicate offences: corruption, tax crimes, smuggling and drug and human trafficking. Pakistani launderers often use traditional typologies, including cash smuggling, round-tripping, multiple bank accounts, investment in real estate (in Pakistan and Dubai) and hawala. However, cybercrimes, cyber laundering and trade-based ML are rising. The politically exposed persons are involved in most of the laundering cases.

Rare studies specifically address the south Asian typologies and the limitations of the placement, layering and integration model. Therefore, there is a need to understand the current typologies used in developing, less regulated and undocumented jurisdictions like Pakistan.

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.

Technical advantages embraced by blockchain, such as distributed ledger, P2P networks, consensus mechanisms and smart contracts, are highly compatible with addressing the security issues of transferring and storing judicial documents and obtaining the feedback and evaluation of judicial translation services in cases with foreign elements. Therefore, based on this, a consortium blockchain-based model for supervising the overall process of judicial translation services in cases with foreign elements is proposed.

Some judicial documents are required to be translated when there are language barriers in cases with foreign elements. The purpose of this paper is expected to address security issues, which is ignored, in the process of translating judicial documents.

The experimental results show that the model constructed in this paper can effectively guarantee the security and privacy of transferring and storing translated judicial documents in cases with foreign elements, and realize the credibility and traceability of feedbacks and evaluations of judicial translation services. In addition, the underlying network communications is stable and the speed for processing data can meet the requirements of practical application.

The research in this paper provides an innovative scheme for judicial translation services in cases with foreign elements. The model constructed is conducive to protecting the security of the transfer and storage of judicial documents and improving the efficiency and modernization ability of hearing cases with foreign elements.

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 paper aims to systematically review over two decades of academic articles on romance fraud to provide a holistic insight into this crime and identify literature gaps.

More than two decades of peer-reviewed academic journal articles from 2000 to 2023 were systematically reviewed using multiple search engines and databases for relevant papers, identified through searches of paper titles, keywords, abstracts and primary texts.

The findings reveal 10 themes: i) the definitions and terminology of romance fraud; ii) romance fraud’s impact on victims; iii) the profile of romance fraud criminals and victims; iv) romance fraud methods and techniques; v) why victims become susceptible to romance fraud; vi) the psychology of romance fraud criminals; vii) the links between romance fraud and other crimes; viii) the challenges of investigating romance fraud; ix) preventing romance fraud and protecting victims; and x) how romance fraud victims can be supported.

The paper reveals implications regarding the future direction of policy and strategy to address the pervasive low reporting rates and narratives of shame bound with victims of this crime.

Romance fraud is a serious crime against individuals with impacts beyond financial losses. Still, this fraud type is under-researched, and the literature lacks a holistic view of this crime. To the best of the authors’ knowledge, this is the first systematic literature review providing a holistic view of romance fraud. It combines evidence across the academic landscape to reveal the breadth and depth of the current work concerning romance fraud and identify gaps in the understanding of this fraud crime.

This study departed from the aim to progress Malaysia as a high-income nation in 2025 via decent work and economic growth (Sustainable Development Goal 8). Thus, this study aims to examine the effects of demographic, experience and organisational factors on the ethical integrity of local enforcement officers from self-proclaim and colleague perception perspectives.

The data of this study was collected from Pusat Latihan Penguatkuasa Selangor (PULAPES), a training centre for local enforcement officers in Selangor. Based on a survey in 2019, this study used primary data based on a scenario-based questionnaire survey with a total sample of 535 respondents.

From a self-proclaim perspective, the results show that secondment and training factors have a positive relationship with the ethical integrity of local enforcement officers. From a colleague perception perspective, the results indicate that the secondment factor has a positive relationship with ethical integrity. In contrast, the officer rank factor has a negative relationship with the ethical integrity of local enforcement officers.

This research seeks to develop new theories or refine existing ones to explain how diverse circumstances affect law enforcement ethics. Learning people’s habits through observation and consequences like rewards or punishments impact behaviour recurrence are suggested. Law enforcement ethics can be examined by examining how peers, supervisors and organisational culture shape officers’ ethics.

The finding of this study could serve to evaluate training programmes or rewards and punishments for ethical behaviour including how accountability and community involvement aid to promote law enforcement ethics.

The survey results of this study are based on local enforcement officers’ ethics that serve to aid in illuminating the elements which affect ethical behaviour among law enforcement personnel and identify the tactics for fostering ethical behaviour.

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in supply chain finance (SCF). Blockchain technology features have the potential to solve accounting problems. This research focuses on exploring how blockchain technology provides solutions to overcome the barriers of accounting process in SCF. The benefits, opportunities, costs and risks related to blockchain adoption are also explored.

Multi-case study and qualitative methods are used with a framework based on blockchain role to overcome the accounting process barriers. Ten blockchain projects in SCF and 29 interviews of participants as a unit of analysis are considered.

The findings indicate that blockchain technology offers solutions to solve accounting, accountability and assurance problems in SCF. Validity, verification, smart contracts, automation and enduring data on trade transactions potentially solve those barriers. However, it is also necessary to consider costs such as implementation, technology, education and integration costs. Then there are possible risks such as regulatory compliance, operational, code development and scalability risk. This finding reflects the current status of blockchain technology roles in SCF.

This study unveils blockchain's SCF accounting potential, emphasizing multi-case method limitations and future research prospects. Diverse contexts challenge findings' applicability, warranting cross-industry studies for deeper insights. Addressing selection bias and integrating quantitative measures can enhance understanding of blockchain's accounting impact.

Accounting professionals can get an idea of the future direction and impact of blockchain technology on accounting, accountability and assurance processes.

This study provides initial findings on the potential, costs and risks of blockchain that is beneficial for parties involved in SCF, especially for banks and insurance underwriters. In addition, the findings also provide direction for the contribution of blockchain technology to accounting theory in the future.

This paper seeks to investigate the factors influencing auditors' behavioural intentions towards blockchain technology (BT) adoption in Iraqi government banks. It also highlights the relationships between these factors to determine if the proposed model can provide a more comprehensive means of comprehending how auditors in government banks have adopted BT.

The study uses the unified theory of acceptance and use of technology and expands it by incorporating five external constructs: “system trust”, “cost”, “transparency”, “security” and “auditor's skill.” This study employed a quantitative and exploratory methodology through the gathering and examination of data from 300 auditors. For the evaluation of the measurement and structural models, the authors adopted the partial least squares structural equation modelling approach with SmartPLS v4.

The findings demonstrate that “auditor's skill and four government features of BT adoption” are major factors in government bank auditors' adoption of BT. Additionally, the findings indicate that social influence is a potent indicator of one's intention to adopt BT in the banking industry.

One limit of this study is the selection of governmental perspective. This study is limited to auditors' opinions, who work at the government banks. Further studies may consider other perspectives in order to provide an in-depth analysis of blockchain.

This paper offers valuable insights into the factors influencing the adoption of blockchain technology in Iraqi governmental banks. It provides empirical evidence supporting auditing units and internal auditors in enhancing their job performance through the adoption of such technology.

This study contributes to the existing literature on technology adoption within the audit profession, specifically examining the use of blockchain technology. By exploring the features of technology adoption within government institutions in the auditing field, it introduces a new perspective, emphasizing the importance of auditor skills.

The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.