Determinant of fraudulent behavior in the Indonesian rural bank sector using the fraud hexagon perspective

Sharia Supervisory Board (SSB) plays an important role in implementing Islamic law in Islamic banks, including fraud prevention. This ungodly act, also known as haram, is highly forbidden in Islam, as evidenced in the holy book of Al Qur’an. Therefore, this study was conducted to provide evidence on the role of SSB attributes (number of members, expertise, cross-membership, educational level, attendance of meeting, tenure) in preventing fraud. This study used 11 Islamic banks in Indonesia as research samples that were observed during 2014–2018. Data were analyzed using the ordinary least squares (OLS) method. The research findings from this study showed that the number of members, cross-membership, education level, attendance of meetings, and SSB tenure were not proven to reduce fraud. SSB’s expertise in accounting/finance had a negative influence on financial statement fraud. The implication of the study is that SSB’s expertise helps banks to effectively carry out their duties, namely detecting financial statement fraud. SSB acts as an independent control mechanism that states that all bank activities are in line with Islamic law and also avoid financial statement fraud.

The risk of distortion of financial statements has been growing. Following the 2008 crisis, recipients of financial information are increasingly focusing on the likelihood of financial statements being distorted through fraudulent presentation of financial information. Therefore, scientific research pays more attention to models capable of detecting financial statement manipulation.
The paper aims to present the principles of functioning and the possibility of using the Beneish M-score model in Polish realities. It analyzes the history of more than 30 companies listed on the Warsaw Stock Exchange to select those whose history indicates that they can be classified as manipulators, and to select the same number of companies from the control group that are considered as non-manipulators.
The research method involves the analysis of empirical data on companies listed on the Warsaw Stock Exchange.
The analysis showed the 8-factor Beneish model identified manipulators with 100% accuracy and succeeded in identifying non-manipulators. The effectiveness of the 5-factor model was much lower.
To serve the purpose of the study, the effectiveness of the Beneish model was tested on a small sample of Polish listed companies as an introduction to a planned larger scale research. The results obtained are consistent with the results of numerous studies by authors from various countries and confirm the effectiveness of the Beneish model in detecting financial statement manipulation.

Acknowledgment
The publication is sponsored by funds from the Cracow University of Economics for the maintenance and development of research potential.

The purpose of this study is the examination of the financial fraud in Greek companies, listed on the Athens Exchange for the period of 2008-2015 during the economic crisis in Greece. The data of all the listed companies that were used comprise financial statements, reviews in the reports by the auditors and the figures and information based on the reports of the Athens Exchange. A total of twelve companies were found and they comprise the primary research sample with fraud in their financial statements (FFS), while another twelve companies were employed as a control sample (non-FFS) for various comparisons. From thirty financial ratios, several statistical tests to the sample and the control sample are applied in order to create a model that will use ratios as “predictors” in the analysis of financial statements for fraud. The model is accurate in classifying the total sample correctly with accuracy rates exceeding 90 percent. The results demonstrate that the model functions effectively in detecting FFS in a period of economic crisis and could be used as a tool to the banking system, from internal and external auditors and taxation or other state authorities.