Whereas the problem of fraud is a global one, the rate and extent to which it is perpetrated in Nigeria, particularly in the public sector, is quite high and alarming. Literature reveals that different fraud prevention and detection mechanisms are being adopted to combat the menace of fraud; forensic accounting techniques appears to be the most effective and are currently used in most developed countries of the world. However, the extent to which forensic accounting techniques are being applied in fraud prevention and detection in Nigeria is not known. Also, the intention to use forensic accounting services in the public service has not been investigated. This study was therefore aimed at examining the application of forensic accounting techniques in fraud prevention and detection in Nigeria. Specific objectives were: (1) to investigate the mechanisms of fraud prevention and detection, and their levels of effectiveness in Nigeria, (2) to identify the major factors that hinder the application of forensic accounting techniques in fraud prevention and detection in Nigeria, (3) to examine practitioners' opinions and behavioural intention to use forensic accounting techniques in fraud prevention and investigation in Nigeria, (4) to explore the level of awareness of forensic accounting techniques in Nigeria and (5) to examine the readiness of universities in taking up forensic accounting courses. The study involved the collection of quantitative data. These data were collected from three sets of populations, viz. accounting students, accounting academics and accounting practitioners. The questionnaire served as the survey instruments. The data collected were analysed using appropriate statistical techniques and computer software. The study identified several fraud prevention and detection mechanisms that are currently used in Nigeria, such as systems of internal controls, operational audits and corporate code of conduct. Students' t-test indicates a significant difference between the perceived effectiveness and actual usage of fraud prevention and detection mechanisms in Nigeria. It was further discovered that the most effective mechanisms, like the forensic accounting techniques, are the least used in fraud prevention and detection. This implies that the current mechanisms of fraud prevention and detection are not proactive in dealing with the fraud menace. Also, legal, educational and political factors were identified to hinder the application of forensic accounting techniques in Nigeria. The level of awareness in forensic accounting in Nigeria is generally low. While the one-way analysis of variance indicates a significant variation among the three populations, it was discovered that students had the lowest level of awareness. Further findings of the study reveal that the universities are not yet ready to take up forensic accounting courses. Using the structural equation modelling (SEM), all the other seven propositions were supported. The findings of this study have both theoretical and practical implications. Theoretically, it further strengthened the findings of previous studies on the organisational intention. From the practical point of view, there is urgent need for manpower development in universities with specialisation in forensic accounting. Again, the educational institutions, and particularly the universities in Nigeria, would need to include forensic accounting courses in the undergraduate curriculum as education has been shown to be pivotal in creating awareness on the use of forensic accounting techniques. Furthermore, from the sampled space, the study has captured the current state of forensic accounting in Nigeria and the findings will be very useful for the public service, private organisations and policy makers.

Microfinance institutions (MFIs) are an important tool of poverty reduction which has gained grounds over the years and grown rapidly given the services they provide. The rapid growth of the MFIs has had huge challenges on their regulatory framework which in turn has resulted in the prevalence of fraudulent cases. With the devasting effects of fraud on MFIs and the importance of MFIs in many economies this thesis aims to examine how the design and use of internal control impact fraud detection and prevention in MFIs. To achieve this aim, a qualitative study was conducted with a case study on eight MFIs in Cameroon. Primary data will be obtained from fourteen semi-structured interviews. Data will be analysed manually using thematic analysis. The findings revealed that internal control has a positive impact on fraud detection and prevention in MFIs by reducing fraud incentive, opportunity, rationalization, and capability. Further, findings revealed that the greatest causes of fraud in MFIs are poor remuneration, weak monitoring, and a poor internal control system. Therefore, for the purpose of future fraud prevention, MFIs should ensure to improve their remuneration schemes, improve1 their monitoring system and ensure regular internal control system updates in term of software and design. The study also, suggests further research on this topic in MFIs with a case study in other countries of the world. It will also be interesting for other researchers to explore how the aspect of capability as a key determinant of fraud can be reduced. This thesis contributes to academic literature as there is lack of studies on the impact of internal control on fraud detection and prevention in MFIs.

Financial fraud in church organizations is increasing rapidly, which can affect the reputation, donation appeal, future funding, and ability of church organizations to meet their planned organizational goals. The purpose of this multiple case study was to explore strategies for preventing financial fraud in church organizations. The conceptual framework for the study was Cressey’s fraud triangle theory. Twenty participants who utilize strategies for preventing financial fraud in their organizations were purposively selected from 5 church organizations in Ghana. Data were collected through semistructured interviews and analysis of organizational financial policy documents. Interview data were transcribed, coded, and analyzed with Saldaña’s coding guidelines. Data analysis followed recommendations from Yin, including examining the data, grouping data into categories, regrouping data in themes, interpreting the data, and producing empirically based findings that answered the central research question of the study. Three significant themes emerged from the data analysis: effective administration, good stewardship and accountability, and caliber of employees. Implementation of the findings may lead to positive social change by enhancing the donation appeal of church organizations, improving their finances, and enabling them to optimize their operations to benefit individuals, families, communities, and society.

The primary goal of this study is firstly to analyse the Fraud Prevention Policy and Strategy, the Policy on Protection of Whistle-Blowers, and the Policy Document on Forensic Audit Process of the Department of Trade and Industry (DTI) in order to establish the reason for the ongoing spate of fraudulent and corrupt activities among employees within the DTI Head Office, regardless of the relevant policies put in place. Secondly, another goal is also to establish other reasons that could be linked to the reoccurrence of fraudulent and corrupt activities within the DTI. During the research survey questionnaires were administered to employees of the DTI. Furthermore, online interviews were conducted with a purposively selected sample within two divisions of the DTI. In addition, a literature study was conducted to acquire relevant information and perspectives from available national and international literature. Various objectives were fulfilled in this study as follows:  It was established whether the reporting of internal or external fraud and corruption and the relevant policies put in place contribute in any manner to the prevention of fraudulent and corrupt activities at the Department of Trade and Industry's national office.  It was determined if there is a policy document on measuring these policies after they have been implemented.  It was determined how the Department of Trade and Industry's national head office addresses fraud and corruption. Other possible reasons for the Department of Trade and Industry employees' lack of reporting fraud and corruption in their departments, other than the fear of being victimised, were identified.  The views and opinions on the internal reporting of fraud and corruption were determined.  The degree of awareness of the investigative procedures related to fraud and corruption among the Department of Trade and Industry management and their employees were determined.  It was established if employees have faith in the Department of Trade and Industry's investigative procedures to fraud and corruption.  The extent of knowledge on the importance of reporting fraudulent and corrupt activities in the DTI were established.  Feedback to help minimise fraud and corruption within the Department of Trade and Industry and improve future strategies was provided. This study contributes to the knowledge base with regard to fraud and corruption within the Department of Trade and Industry. / Criminology and Security Science / M. Tech (Policing)

The purpose of the study is to identify problems with existing fraud prevention systems that deals with Wangiri fraud. We also intend to identify how it is possible to reduce the detection time of Wangiri fraud using reactive systems. The aim of the study is to find out if reactive solutions can be used in the development of fraud prevention systems.  The conclusion reached in the study is that reactive systems can be used to detect Wangiri fraud faster for telecom companies that have a similar process for handling call data. / Syftet med undersökningen är att identifiera problem med existerande bedrägerisystem som hanterar Wangiri bedrägerier. Vi avser också att identifiera på vilket sätt det är möjligt att minska upptäckstiden av Wangiri bedrägerier med hjälp av reaktiva system. Målet med undersökningen är att ta reda på om reaktiva lösningar kan användas inom utvecklingen av bedrägerisystem. Slutsatsen som framkommit i studien är att reaktiva system är möjliga att använda för att snabbare upptäcka Wangiri bedrägerier för telekombolag som har en liknande process för hantering av samtalsuppgifter

The occurence of procurement fraud requires from the management of the enterprise, the risk manager of the enterprise as well as the internal auditor to effectively address procurement fraud risks within the enterprise risk management concept. The purpose of the study is to set a procurement fraud risk management process in place which will serve as a comprehensive framework for the enterprise risk manager as well as the internal auditor to limit the enterprise's exposure to procurement fraud risks as far as possible. The study firstly focus on the analysis of the steps within the procurement process which is the starting point for the identification of the fraud risks. Secondly the enterprise risk management model is applied in the format of a procurement risk matrix within the procurement function. The study is an indication that procurement fraud cannot be completely prevented but that the appearance thereof can be limited by means of the extensive procurement fraud risk management model. Recommendations for future studies include the application of the enterprise risk management model in other functional areas within the enterprise. / Die voorkoms van aankoopbedrog vereis van die onderneming se bestuur, ondernemingsrisikobestuurder en interne ouditeur om aankoopbedrogrisiko's effektief binne die konteks van die ondernemingsrisikobestuurskonsep aan te spreek. Die doel van die studie is om `n aankoopbedrogrisikobestuursproses daar te stel wat as `n omvattende raamwerk vir die ondernemingsrisikobestuurder en interne ouditeur kan dien om die onderneming se blootstelling aan aankoopbedrogrisiko's so ver as moontlik te beperk. Die studie fokus eerstens op die ontleding van die stappe in die aankoopproses wat as vertrekpunt vir die identifisering van bedrogrisiko's dien. Tweedens word die ondernemingsrisikobestuursmodel in die vorm van `n aankoopbedrogrisikomatriks in die aankoopfunksie toegepas. Die studie dui daarop dat alhoewel aankoopbedrog nie volkome verhoed kan word nie, die voorkoms daarvan wel beperk kan word deur die toepassing van `n omvattende aankoopbedrogrisikobestuursmodel. Aanbevelings vir verdere studies sluit die toepassing van die ondernemingsrisikobestuursmodel op ander funksionele terreine van die onderneming in. / Auditing / M. Com. (Auditing)

Com o avanço tecnológico e econômico, que facilitaram o processo de comunicação e aumento do poder de compra, transações com cartão de crédito tornaram-se o principal meio de pagamento no varejo nacional e internacional (Bolton e Hand , 2002). Neste aspecto, o aumento do número de transações com cartão de crédito é crucial para a geração de mais oportunidades para fraudadores produzirem novas formas de fraudes, o que resulta em grandes perdas para o sistema financeiro (Chan et al. , 1999). Os índices de fraudes têm mostrado que transações no comércio eletrônico (e-commerce) são mais arriscadas do que transações presencias em terminais, pois aquelas não fazem uso de processos seguros e eficientes de autenticação do portador do cartão, como utilização de senha eletrônica. Como os fraudadores se adaptam rapidamente às medidas de prevenção, os modelos estatísticos para detecção de fraudes precisam ser adaptáveis e flexíveis para evoluir ao longo do tempo de maneira dinâmica. Raftery et al. (2010) desenvolveram um método chamado Dynamic Model Averaging (DMA), ou Ponderação Dinâmica de Modelos, que implementa um processo de atualização contínuo ao longo do tempo. Nesta dissertação, desenvolvemos modelos DMA no espaço de transações eletrônicas oriundas do comércio eletrônico que incorporem as tendências e características de fraudes em cada período de análise. Também desenvolvemos modelos de regressão logística clássica com o objetivo de comparar as performances no processo de detecção de fraude. Os dados utilizados para tal são provenientes de uma empresa de meios de pagamentos eletrônico. O experimento desenvolvido mostra que os modelos DMA apresentaram resultados melhores que os modelos de regressão logística clássica quando analisamos a medida F e a área sob a curva ROC (AUC). A medida F para o modelo DMA ficou em 58% ao passo que o modelo de regressão logística clássica ficou em 29%. Já para a AUC, o modelo DMA alcançou 93% e o modelo de regressão logística clássica 84%. Considerando os resultados encontrados para os modelos DMA, podemos concluir que sua característica de atualização ao longo do tempo se mostra um grande diferencial em dados como os de fraude, que sofrem mudanças de comportamento a todo momento. Deste modo, sua aplicação se mostra adequada no processo de detecção de transações fraudulentas no ambiente de comércio eletrônico. / Regarding technological and economic development, which made communication process easier and increased purchasing power, credit card transactions have become the primary payment method in national and international retailers (Bolton e Hand , 2002). In this scenario, as the number of transactions by credit card grows, more opportunities are created for fraudsters to produce new ways of fraud, resulting in large losses for the financial system (Chan et al. , 1999). Fraud indexes have shown which e-commerce transactions are riskier than card present transactions, since those do not use secure and efficient processes to authenticate the cardholder, such as using personal identification number (PIN). Due to fraudsters adapt quickly to fraud prevention measures, statistical models for fraud detection need to be adaptable and flexible to change over time in a dynamic way. Raftery et al. (2010) developed a method called Dynamic Model Averaging (DMA), which implements a process of continuous updating over time. In this thesis, we develop DMA models within electronic transactions coming from ecommerce environment, which incorporate the trends and characteristics of fraud in each period of analysis. We have also developed classic logistic regression models in order to compare their performances in the fraud detection processes. The database used for the experiment was provided by a electronic payment service company. The experiment shows that DMA models present better results than classic logistic regression models in respect to the analysis of the area under the ROC curve (AUC) and F measure. The F measure for the DMA was 58% while the classic logistic regression model was 29%. For the AUC, the DMA model reached 93% and the classical model reached 84%. Considering the results for DMA models, we can conclude that its update over time characteristic makes a large difference when it comes to the analysis of fraud data, which undergo behavioral changes continuously. Thus, its application has proved to be appropriate for the detection process of fraudulent transactions in the e-commerce environment.

The occurence of procurement fraud requires from the management of the enterprise, the risk manager of the enterprise as well as the internal auditor to effectively address procurement fraud risks within the enterprise risk management concept. The purpose of the study is to set a procurement fraud risk management process in place which will serve as a comprehensive framework for the enterprise risk manager as well as the internal auditor to limit the enterprise's exposure to procurement fraud risks as far as possible. The study firstly focus on the analysis of the steps within the procurement process which is the starting point for the identification of the fraud risks. Secondly the enterprise risk management model is applied in the format of a procurement risk matrix within the procurement function. The study is an indication that procurement fraud cannot be completely prevented but that the appearance thereof can be limited by means of the extensive procurement fraud risk management model. Recommendations for future studies include the application of the enterprise risk management model in other functional areas within the enterprise. / Die voorkoms van aankoopbedrog vereis van die onderneming se bestuur, ondernemingsrisikobestuurder en interne ouditeur om aankoopbedrogrisiko's effektief binne die konteks van die ondernemingsrisikobestuurskonsep aan te spreek. Die doel van die studie is om `n aankoopbedrogrisikobestuursproses daar te stel wat as `n omvattende raamwerk vir die ondernemingsrisikobestuurder en interne ouditeur kan dien om die onderneming se blootstelling aan aankoopbedrogrisiko's so ver as moontlik te beperk. Die studie fokus eerstens op die ontleding van die stappe in die aankoopproses wat as vertrekpunt vir die identifisering van bedrogrisiko's dien. Tweedens word die ondernemingsrisikobestuursmodel in die vorm van `n aankoopbedrogrisikomatriks in die aankoopfunksie toegepas. Die studie dui daarop dat alhoewel aankoopbedrog nie volkome verhoed kan word nie, die voorkoms daarvan wel beperk kan word deur die toepassing van `n omvattende aankoopbedrogrisikobestuursmodel. Aanbevelings vir verdere studies sluit die toepassing van die ondernemingsrisikobestuursmodel op ander funksionele terreine van die onderneming in. / Auditing / M. Com. (Auditing)

The aim of the research was to look at the motivations behind white-collar crime and, by means of the insights gained, allow businesses to achieve a better understanding of these motivations and the possible loopholes that exist with respect to white-collar crime. Empowered which such knowledge, businesses fraud mitigation polices and approaches are enhanced; which contribute towards sustained operations and increased shareholder value by reduce losses. Face-to-face interviews were held with 29 white-collar offenders imprisoned at the Johannesburg Medium Correctional Centre in Gauteng, South African. Data was collected from these interviews and grouped into themes that related to the research questions. An action plan was formulated to assist business in their fight to eliminate and reduce the impact of commercial crime. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

Com o avanço tecnológico e econômico, que facilitaram o processo de comunicação e aumento do poder de compra, transações com cartão de crédito tornaram-se o principal meio de pagamento no varejo nacional e internacional (Bolton e Hand , 2002). Neste aspecto, o aumento do número de transações com cartão de crédito é crucial para a geração de mais oportunidades para fraudadores produzirem novas formas de fraudes, o que resulta em grandes perdas para o sistema financeiro (Chan et al. , 1999). Os índices de fraudes têm mostrado que transações no comércio eletrônico (e-commerce) são mais arriscadas do que transações presencias em terminais, pois aquelas não fazem uso de processos seguros e eficientes de autenticação do portador do cartão, como utilização de senha eletrônica. Como os fraudadores se adaptam rapidamente às medidas de prevenção, os modelos estatísticos para detecção de fraudes precisam ser adaptáveis e flexíveis para evoluir ao longo do tempo de maneira dinâmica. Raftery et al. (2010) desenvolveram um método chamado Dynamic Model Averaging (DMA), ou Ponderação Dinâmica de Modelos, que implementa um processo de atualização contínuo ao longo do tempo. Nesta dissertação, desenvolvemos modelos DMA no espaço de transações eletrônicas oriundas do comércio eletrônico que incorporem as tendências e características de fraudes em cada período de análise. Também desenvolvemos modelos de regressão logística clássica com o objetivo de comparar as performances no processo de detecção de fraude. Os dados utilizados para tal são provenientes de uma empresa de meios de pagamentos eletrônico. O experimento desenvolvido mostra que os modelos DMA apresentaram resultados melhores que os modelos de regressão logística clássica quando analisamos a medida F e a área sob a curva ROC (AUC). A medida F para o modelo DMA ficou em 58% ao passo que o modelo de regressão logística clássica ficou em 29%. Já para a AUC, o modelo DMA alcançou 93% e o modelo de regressão logística clássica 84%. Considerando os resultados encontrados para os modelos DMA, podemos concluir que sua característica de atualização ao longo do tempo se mostra um grande diferencial em dados como os de fraude, que sofrem mudanças de comportamento a todo momento. Deste modo, sua aplicação se mostra adequada no processo de detecção de transações fraudulentas no ambiente de comércio eletrônico. / Regarding technological and economic development, which made communication process easier and increased purchasing power, credit card transactions have become the primary payment method in national and international retailers (Bolton e Hand , 2002). In this scenario, as the number of transactions by credit card grows, more opportunities are created for fraudsters to produce new ways of fraud, resulting in large losses for the financial system (Chan et al. , 1999). Fraud indexes have shown which e-commerce transactions are riskier than card present transactions, since those do not use secure and efficient processes to authenticate the cardholder, such as using personal identification number (PIN). Due to fraudsters adapt quickly to fraud prevention measures, statistical models for fraud detection need to be adaptable and flexible to change over time in a dynamic way. Raftery et al. (2010) developed a method called Dynamic Model Averaging (DMA), which implements a process of continuous updating over time. In this thesis, we develop DMA models within electronic transactions coming from ecommerce environment, which incorporate the trends and characteristics of fraud in each period of analysis. We have also developed classic logistic regression models in order to compare their performances in the fraud detection processes. The database used for the experiment was provided by a electronic payment service company. The experiment shows that DMA models present better results than classic logistic regression models in respect to the analysis of the area under the ROC curve (AUC) and F measure. The F measure for the DMA was 58% while the classic logistic regression model was 29%. For the AUC, the DMA model reached 93% and the classical model reached 84%. Considering the results for DMA models, we can conclude that its update over time characteristic makes a large difference when it comes to the analysis of fraud data, which undergo behavioral changes continuously. Thus, its application has proved to be appropriate for the detection process of fraudulent transactions in the e-commerce environment.