Asia Pacific Fraud Journal (APFJ - Association of Certified Fraud Examiners, ACFE)
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Enterprise Risk Management and Firm Value: The Role of Board Monitoring
Get PDFThis study aims to obtain empirical evidence related to the influence of Enterprise Risk Management on firm value and the role of monitoring by the Board of Directors and the Board of Commissioners in moderating the effect of ERM on firm value. The sample used is manufacturing companies listed on the Indonesia Stock Exchange in 2014-2017. The test results show that ERM is proven to be able to suppress the uncertainty that arises from the company's activities and the conflicts that occur, which affect the formation of firm value. Furthermore, the excessive number of directors is proven to harm company performance because it is prone to conflicts of interest and the many parties who have the opportunity to become free riders in their responsibilities as directors. So, the board of directors who have an effective role is only carried out by a few people. On the other hand, there are many commissioners in a company that proves to be not very influential in moderating the influence of ERM on the company's value. This research is expected to contribute to the accounting literature in filling the existing gaps, especially regarding Enterprise Risk Management
The Effect of Governance, Risk Management, and Compliance on Efforts to Minimize Potential Fraud Based on the Fraud Pentagon Concept
Get PDFThis study aims to determine the effect of corporate governance, risk management, and compliance with applicable regulations on efforts to minimize the potential fraud based on the Fraud Pentagon concept. For companies engaged in financial service providers, the results of this study are expected to contribute to the implementation of governance, risk management, and compliance (GRC) in order to minimize potential fraud and achieve the expected goals. Respondents used in this study are the employees of Bank Perkreditan Rakyat (BPR). Data are collected using interviews, observations, and questionnaires. Descriptive analysis, data quality analysis, and structural model analysis are used to test hypotheses with the application of STATA version 14. The results show that the variables of corporate governance and risk management have a significant effect on the efforts to minimize potential fraud, while the variable of compliance has no significant effect on the efforts to minimize potential fraud. Due to several factors, such as the small scope of BPR compared to conventional banks and the small number of employees, the implementation of GRC has not been achieved optimally
Relevance of Good Corporate Governance Towards the Principle of Business Judgement Rule for State-owned Enterprises’ Corruption Cases: A Legal Perspective
Get PDFBusiness judgement rule is often used as one of the principles to determine whether a corporate actor is evidently guilty in various corruption cases. Thus, this study aims to explain the relevance of corporate governance implementation as an additional objective measurement towards the business judgement rule principle in state-owned enterprises corruption cases. Through the juridical-normative approach and qualitative method analysis, it is found that in the middle of ambiguous positions of state-owned corporations in Indonesia, corporate governance must be taken into account in determining the court ruling especially in many corruption cases as a tool to minimize the legal uncertainty. This study also found that the corporate governance standard is able to convince the public in various financial decisions as a parallel example
Analysis of the Root Causes of Fraud Using Risk Causal and Fraud Diamond Matrix: A Case Study on Retail Financing Company
Get PDFFraud risk management strategies can be carried out in three stages: prevention, detection, and response, but the most efficient stage is prevention. Fraud is part of operational risk which is defined as the risk of loss caused by the failure or inadequacy of internal processes, people, systems or technology, and external events. The perpetrators of fraud can also be analyzed using the fraud motivation model. This study aims to use the results of detection and response as input for the prevention stage using root cause analysis. This study uses the Risk Causal and Fraud Diamond (RCFD) Matrix as an analytical tool to determine the dominant root cause. This study uses 300 data samples and categorizes the root causes of fraud in the RCFD Matrix. The results show that there are three dominant root causes: 3.O System & Technology - Opportunity, 2.O Internal Process - Opportunity, and 1.P People - Pressure. These results provide recommendations for fraud prevention strategies to effectively reduce or eliminate the dominant root cause
Machine Learning Algorithms in Fraud Detection: Case Study on Retail Consumer Financing Company
Get PDFThis study aims to implement a machine learning algorithm in detecting fraud based on historical data set in a retail consumer financing company. The outcome of machine learning is used as samples for the fraud detection team. Data analysis is performed through data processing, feature selection, hold-on methods, and accuracy testing. There are five machine learning methods applied in this study: Logistic Regression, K-Nearest Neighbor (KNN), Decision Tree, Random Forest, and Support Vector Machine (SVM). Historical data are divided into two groups: training data and test data. The results show that the Random Forest algorithm has the highest accuracy with a training score of 0.994999 and a test score of 0.745437. This means that the Random Forest algorithm is the most accurate method for detecting fraud. Further research is suggested to add more predictor variables to increase the accuracy value and apply this method to different financial institutions and different industries
The Role of Institutional Ownership in Moderating the Determinants of Earnings Management (A Study on Manufacturing Companies in Indonesia)
Get PDFThe purpose of this study is to examine the effect of deferred tax expense, tax planning, and managerial ownership on earnings management moderated by institutional ownership in manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2015-2018. The number of research samples is 16 companies. The sampling technique used in the study is purposive sampling method. This study uses multiple linear regression analysis and Moderated Regression Analysis (MRA) assisted by the IBM SPSS 24 program. The results of this study show that deferred tax expense and managerial ownership haveno effect on earnings management, while tax planning has an effect on earnings management. Institutional ownership is not able to moderate the effect of deferred tax expense and managerial ownership on earnings management, but institutional ownership is able to moderate the effectof tax planning on earnings management. The limitation of this study is that the measurement technique used for earnings management is only accrual earnings management. In addition, researchers do not measure earnings management from real earnings management techniques so that the results obtained cannot explain the extent of deviations from normal business practices. The results of this study are expected to provide considerations for potential investors who wish to invest in a company so that they do not experience losses on their invested capital. Company managers are expected to be able to reconsider everything so that there will be no more fraud that can cause losses to the company and have a bad impact in the future