Influence of functional maturity of financial management information system and internal audit effectiveness on expenditure control: The mediating role of information quality in Vietnamese listed companies

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.

This paper aims to discuss the concepts and methodological issues of enterprise risk management (ERM). The case study of company A shows that ERM has been implemented and integrated with management control as a means of monitoring its subsidiaries. First, ERM system was implemented through comprehensive review of corporate risk policies, risk management processes, roles and responsibilities, and risk culture. Second, company A integrated ERM with the existing management control system in order to evaluate the risk underlying the current management activities. Finally, ERM implementation was expanded to all subsidiaries so that each business unit would be delegated for its own risk management. This paper provides insight on the process how group-level internal auditors can use ERM as a tool to manage risk of subsidiaries, thereby filling the gap between academic research and practice. This successful ERM adoption case can be used as a guideline for other organizations, which plan to adopt ERM with reduced costs and improved processes.

Financial performance of a bank represents its financial condition for a certain period of time, either in relation to fund raising or fund allocation, which is usually observed for several indicators, such as capital adequacy, liquidity, and bank profitability. In banking industries, profitability is the most accurate indicator to measure bank performance. Instruments used to measure profitability are Return on Equity (ROE) and Return on Assets (ROA). In this study, the impact of banking risk is analyzed using the ratio of Non-Performing Loans (NPL), Net Interest Margin (NIM), the Loan-to-Deposit ratio (LDR), and the ratio of Operational Cost to Operational Income (OCOI/BOPO) on financial performance of regional development banks in Indonesia. The data used in this study were obtained from the annual reports disseminated on the website of each bank. The number of samples includes 26 Indonesian regional development banks for 2013–2015. The study includes 4 hypotheses for testing. The results show that simultaneously, NPL, NIM, LDR, and OBOI/BOPO are significant to ROA; while NPLs are significant and negatively affect ROA, NIM is significant and positively affects ROA, LDR is not significant and negatively affects ROA, and OCOI/BOPO is significant and negatively affects ROA. This means the banks should minimize the ratio of NPLs, LDR, and BOPO, as they have a negative influence on ROA. Conversely, banks should maximize the ratio of NIM since the latter has a positive effect on ROA.