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This chapter introduces a risk control framework on credit card fraud instead of providing a solely binary classifier model. The anomaly detection approach is adopted to identify fraud events as the outliers of the reconstruction error of a trained autoencoder (AE). The trained AE shows fitness and robustness on the normal transactions and heterogeneous behavior on fraud activities. The cost of false-positive normal transactions is controlled, and the loss of false-negative frauds can be evaluated by the thresholds from the percentiles of reconstruction error of trained AE on normal transactions. To align the risk assessment of the economic and financial situation, the risk manager can adjust the threshold to meet the risk control requirements. Using the 95th percentile as the threshold, the rate of wrongly detecting normal transactions is controlled at 5% and the true positive rate is 86%. For the 99th percentile threshold, the well-controlled false positive rate is around 1% and 83% for the truly detecting fraud activities. The performance of a false positive rate and the true positive rate is competitive with other supervised learning algorithms.

The current study examines the effect of fraud training on auditors' ability to identify fraud risk factors. This is important because most auditors have little or no direct experience with fraud; thus, research that investigates the potential effect of indirect experience through training is vitally important to fraud detection and audit quality. A total of 369 experienced auditors completed a complex audit simulation task that involved 15 seeded fraud risk red flags. A total of 143 auditors participated in a 30-minute training session focused specifically on fraud risk, while the remaining 226 auditors learned about general internal control risk during this time block. The results indicate that auditors with fraud training identified significantly more red flags and obtained greater knowledge about fraud risk than auditors who did not receive the training. Considering that the fraud training consumed only 30 minutes out of a 64-hour training session, the findings suggest that even modest exposure to fraud training is quite effective.

This paper aims to discuss the impact of fraud on individuals’ wellbeing by drawing on insights from the academic literature. It also highlights literature gaps and suggests new avenues for future research.

This paper is based on a comprehensive literature review to gain insights into the impact of fraud on individuals’ wellbeing and identify literature gaps. The review is not limited to a particular date or a specific discipline.

The results reveal a general consensus in the literature that fraud severely and negatively impacts individuals’ wellbeing. Fraud’s impact on victims goes beyond financial hardship. It could result in stress, anger, upset, worries, fear of future victimisation, shame, loss of self-esteem, health deterioration, loss of confidence in financial matters, suicide ideation, unemployment, homelessness, less happiness and life satisfaction and broken relationships. However, research on how fraud impacts individuals’ wellbeing is scarce and has yet to receive substantial attention.

To the best of the author’s knowledge, this is the first comprehensive literature review compiling evidence on the impact of fraud on individuals’ wellbeing.

The purpose of this study is to determine the strategy adopted by small- and medium-scale enterprise (SME) owners in setting up internal control systems, examine the relationship between the numbers of employees’ fraud and strategy adopted in setting up internal control and evaluate the difference between proactive and reactive strategies in employee’s fraud prevention among SMEs.

A survey research approach was adopted to determine whether proactive or reactive strategies were adopted by the SME owners. Specifically, a survey questionnaire was used to gather primary data from selected respondents in Lagos and Oyo States. Descriptive statistics, Spearman correlation and the Mann–Whitney test were used to analyse the primary data.

The study found that most of the SME owners used reactive internal control strategies in setting up their internal control systems after they suffered financial losses occasioned by employees’ fraud. Also, the study found a positive relationship between the number of employees’ fraud and reactive strategy. Finally, the study found a significant difference in the number of employees’ fraud occurrences between proactive and reactive internal control strategies in SMEs.

The study provides further confirmation that where internal control is properly set up and strengthened, a lower number of employee frauds will occur. Thus, giving credence to the fraud theory. The study was, however, conducted in six selected local government areas in two states.

The study provides recommendations on the adoption of a proactive strategy for curbing employees’ fraud at the onset of business operations and not until devastating events of employees’ fraud become a reality.

The study is original, as it focuses on the strategy adopted by SME owners in setting up internal control systems, which is rare in fraud empirical studies, particularly for studies conducted in emerging markets like Nigeria. It provides the need for the sustainability of SMEs as engine of growth and employment through the adoption of appropriate strategies in setting up internal control systems.

This study aims to examine the relationship between selfishness, moral justification and intention to fraud among accounting certified professionals. It focuses on the role of moral justification in explaining the link between selfishness and intention to fraud.

Data were collected with the help of a structured questionnaire. The final sample includes 240 accounting certified professionals. To test the hypothesized model in this study, IBM AMOS ver26 was used to perform the structural equation modeling.

The results of this study show that selfishness has no direct impact on the intention to commit fraud. However, selfishness does have a positive impact on moral justification. Furthermore, the study found that moral justification mediates the relationship between selfishness and fraud intention.

This study provides important implications for accounting firms and other organizations and recommends that they implement the necessary practices to reduce the fraudulent intentions of certified accounting professionals while simultaneously reducing selfishness and moral justification.

This research is among the few studies in the accounting field that address the mediating role of moral justification in the relationship between selfishness and fraud intention among certified accounting professionals.

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 factors that influence asset misappropriation fraud among police officers in the Internal Security and Public Order (Malay: Keselamatan Dalam Negeri dan Ketenteraman Awam [KDNKA]) Department, Royal Malaysian Police (RMP).

Primary data were collected from a questionnaire-based survey and the data were analysed using descriptive analysis, correlation analysis and multiregression.

The element of pressure was found to have a negative relationship with asset misappropriation fraud. This result shows the uniqueness of the KDNKA Department in the RMP. The other three elements are found to have a significant positive relationship with asset misappropriation fraud.

This study’s findings can aid academicians in gaining a better understanding of the literature surrounding fraud diamond theory and aid the policymakers in recognizing the signs and possibilities of asset misappropriation fraud in public agencies.

To the best of the authors’ knowledge, this is the first study that uses the KDNKA Department which is the second largest department in RMP as a population in fraud study.

The purpose of this study was to determine the determinants of financial statement fraud: the perspective of pentagon fraud theory.

This study used quantitative methods with an explanatory research design by applying secondary data on Islamic banking companies listed on the Indonesia Stock Exchange (IDX).

External pressure affects financial statement fraud, ineffective monitoring affects financial statement fraud, external auditor quality affects financial statement fraud, change in auditor affects financial statement fraud, frequent number of CEO’s picture affects financial statement fraud, external pressure affects firm size, ineffective monitoring affects firm size, external auditor quality affects firm size, change in auditor affects firm size, frequent number of CEO’s picture affects firm size, firm size affects financial statement fraud, firm size mediates the relationship between external pressure on financial statement fraud, firm size mediates the relationship between ineffective monitoring on financial statement fraud, firm size mediates the relationship between external auditor quality and financial statement fraud, firm size mediates the relationship between change in auditor and financial statement fraud, firm size mediates the relationship between frequent number of CEO’s picture and financial statement fraud.

The limitations of this research were found during the research process and can be used as input for further research and related parties in conducting the research to obtain better research results. The limitations of this study are as follows: this study only focused on Islamic banking, so it cannot be generalized to other sectors. Besides, this study only tested five independent variables, one dependent variable and one mediating variable.

For external auditors, financial statement fraud by management might be caused by many factors and is a social as well as an economic problem that must be addressed immediately. Therefore, in carrying out the duties and roles as an external auditor, they must have an attitude of independence (not taking sides) in the mental attitude that must be maintained by the auditor related to the assignment. Auditors must have sufficient technical expertise and training as auditors. In carrying out the audit, the auditor should use their professional skills in responding carefully and thoroughly. Moreover, in carrying out audit work, the auditor must have a plan, must know adequate internal control and obtain sufficiently competent audit evidence.

To the best of the authors’ knowledge, very few studies in Indonesia have applied the Beneish model. There is only one study that implemented the Beneish model, and the study examined only a few companies listed on the IDX. The findings of the present study have important implications not only for banks but also for users of financial statement accounts in Indonesia, especially for investors, auditors, regulators, taxation and other state authorities.

In 2002, it was estimated that occupational fraud and abuse cost organizations $600 billion, or roughly 6 per cent of their revenues. While there are various ways a company can protect itself from becoming a victim of fraud, one solution toward which many companies are turning is the use of fraud examiners to help monitor and detect fraudulent activities within their organizations.

Investigates the relative importance of potential factors associated with the likelihood of detecting fraud during the audit of financial statements. Based on a survey of 357 auditors, reveals auditing experience of the auditor and prior success of auditing organization in detecting fraud are constantly significant variables in detecting fraud for each audit cycle and combined cycle estimates. Certified public accountant certification, peer review, and organizational size have impact only on certain specific audit cycles. This study surveyed two types of auditor: first, certified public accountants specialized in auditing publicly held corporations (external); and second, government entities, and internal auditors specialized in auditing publicly held corporations (internal). The respondent auditors evaluated the degree of effectiveness of 218 auditing techniques in detecting fraud. These techniques were associated with four different audit cycles: acquisition and payment, inventory and warehousing, payroll and personnel and sales and collection.