Quarterly Studies in Banking Management and Islamic Banking

Abstract Money laundering as a criminal phenomenon can cause a disruption in the functioning of banks and impose a lot of costs on them. The current strategy of most Iranian banks is to identify this category of customers using general rules, which allows many false positives and makes it difficult to detect money laundering operations. The purpose of this study is to provide criteria for identifying bank customers with the highest probability of suspicion of money laundering using smart algorithms. To this aim, a two-stage model was used to analyze customer behavior using a database of customer characteristics and their financial data in the second six-month period ending in March 1401. In this study, techniques such as self-organizing mapping (SOM) and dependency rules have been used to create a comprehensive profile of customers. Research variables include demographic data, banking services, and financial transactions of customers, extracted from the database of Bank Mellat. The results show that the research model is well able to identify and analyze the customers suspected of money laundering, already investigated by the operating bank. Using both proposed models, the results do not show a significant difference.

Abstract Despite the rapid change in the acceptance of electronic banking services in the last decade, the effect of electronic banking on bank performance, especially the reduction of operational costs of banks, is still debated. The aim of the current research study is to investigate the impact of electronic banking development on the reduction of operational costs of Shahr Bank branches in Tehran, Iran. This study is applied in terms of its purpose and descriptive-correlation in terms of its method, and since information related to past events is used, it is a post-event study. The statistical population of the study includes the branches of Shahr Bank located in Tehran in the period from 2016 to 2021. The regression model and the correlation coefficient of the effects of the research variables were used to test the research hypotheses. The results showed that environmental and organizational readiness has a significant impact on the development of electronic banking, and the development of electronic banking leads to a reduction in operational costs (including advertising costs, accessory costs, postal costs, maintenance costs, telecommunication costs, communication costs, depreciation costs, and personnel costs) and increased profitability; therefore, it is suggested that banks consider the use of new tools and methods such as electronic banking in order to improve the quality of services and reduce costs.

Abstract Nowadays, banks play a crucial role as the most important financial institution in the money market, contributing significantly to the growth and development of countries' economies. Banks are considered the primary sources of finance for real sectors of the economy (various production industries, agriculture, and service-providing companies), and they strive to equip businesses and individuals, allocate resources efficiently, and provide diverse services to customers with the motivation of generating income and earning profits. In this regard, due to the diverse nature of banking operations and the capital constraints of banks, the banking industry faces various types of risks. Therefore, the aim of the present study is to apply Bayesian Network Analysis in managing the risks of Saderat Bank of Iran. To this aim, after formulating the questionnaire and collecting research data, the researchers proceeded to estimate the relationships between liquidity, credit, and operational risks using the Bayesian network analysis approach. The research results indicate that systemic risk was identified as the most significant factor in operational risk, liquidity inventory was identified as the most significant factor in liquidity risk, and finally, the credit scoring index was identified as the most significant factor in credit risk. Ultimately, based on the VIF index, the most significant type of risk in Saderat Bank of Iran was recognized as operational risk with a share of 53 percent.

Abstract This study, using quantitative and qualitative methods, has designed an integrated model of criteria for selecting the optimal portfolio of information technology projects in order to meet business goals in Iran's banking industry. In the qualitative part, the researchers, using the content analysis method, discuss the design of the selection criteria model of the information technology project portfolio in the banking industry. In the quantitative part, first, the final criteria of the model are determined using the fuzzy Delphi technique, and then the relationship between the criteria of the design model is investigated using the DIMTEL technique. Based on the results of content analysis, 385 quotations or primary codes were counted. From this number of quotes, 87 themes, 24 sub-categories, and 5 main categories were formed. In order to achieve the final model, the Fuzzy Delphi technique was used. The results showed that the final integrated model of selection criteria for information technology projects in Iran's banking industry consists of 5 main criteria (organizational, environmental, economic, technical, and risk) and 18 sub-criteria. The results of the DIMTEL technique to determine the importance of criteria and sub-criteria also showed that the risk criterion is the most important criterion and low security risk is the most important sub-criterion.

Abstract The evaluation of the performance of banks cannot be ignored due to the various and varied effects of these institutions on the economic growth and development of countries, and they play a decisive and evident role in the life of a country, including countries that have bank-oriented financial markets. So that it can be considered as the driving force,accelerator and balancer of the economic sector and the development of countries. In this research, return on deposits and return on assets have been selected as variables for measuring banks' performance. In the form of a regression model and using panel data, the effects of banks' liquidity indicators (the ratio of bank cash to total bank assets, the ratio of bank cash to total bank deposits, the ratio of facilities to total bank assets, the ratio of facilities to total bank deposits) and the financial crisis of 2007-2009. This research was carried out using combined annual data of 10 banks and during a period of 18 years . The results of model estimation using the generalized least squares method show that, , the ratio of cash to total assets and the ratio of facilities to total assets have a negative and significant effect on the return on deposits, and the ratio of facilities to deposits has a positive and significant effect on the return on deposits. Also, the ratio of cash to total assets and the ratio of facilities to total assets have negative and significant effect on the return on assets.

Abstract In this research, the relationship between dividends and company value (J-shaped curve) was investigated in companies listed on the Tehran Stock Exchange. In terms of nature and content, this research is correlational and based on the purpose of basic experimental research. Also, the current research is applied research in terms of research classification based on the nature. The time period of the research was considered from 1391 to 1401. To select the sample, the purposeful sampling method selected through a judgmental process has been used. To test the hypotheses of this research and determine the relationship between independent and dependent variables, econometric models were used, and the relevant hypotheses were investigated using the panel multivariate regression method. The results of the research showed that the free cash flow has a positive and significant relationship with the value of the company. Also, dividend has a negative and significant relationship with company value. Dividend has an effect on the relationship between free cash flow and company value and reduces the positive relationship between free cash flow and company value, and according to research results, the relationship between dividends and company value varies over time.