banking system

The purpose of the current study is to identify the aspects of cause-related marketing in the banking system and determine the outcomes of implementing cause-related marketing. Design, methodology, and approach: The research methodology is qualitative with in-depth interviews with 16 senior managers. Data were analyzed using open coding, axial coding, selective coding, and the software named MaxQDA12pro. The results revealed that the aspects of cause-related marketing were affected by internal and external factors as well as their categories. The emergence of a new marketing concept for audiences has made it difficult to carry out the research. The qualitative research approach was mainly implemented in the working field of the experts, with the resulting model created from their opinions. Banks must implement different strategies for different groups. Implementing cause-related marketing results in social, economic, marketing, and environmental outcomes for banks and the country, each of which affecting the banking activities. If cause-related marketing penetrates into consumer attitudes and behaviors, it will be a marketing tool required to improve organizational reputation, develop a brand image of the company, raise customer satisfaction and loyalty, increase sales, and in the meantime benefit the community. This qualitative research helps companies that consider new consumers understand their needs and demands, share their values with them, and remain in the current competitive environment. Hence, cause-related marketing can be a safe and distinguished tool in their success.

Optimizing the financing of Iran's higher education system faces major challenges such as smallness of the private sector, lack of a competitive market in knowledge production, the state's small role in higher education, and also the absence of new financial instruments in the capital market along with the development of the money market. As a result, the most important financing resources and major clients of academic research projects are state-run organizations, which also raise finance through tuition. Apparently, there are a few reasons why the higher education system should change its financing methods to achieve great goals. These reasons include intensified economic sanctions, declined capacity of the state to finance this sector, decreased power of families and firms to cover educational and research expenses through private budgets, and the necessity of making higher education expenses efficient with respect to the need to train the future workforce. The method of this study is a descriptive-qualitative, which was carried out in two stages of the library and the implementation of the Delphi method by referring to 20 experts. Aiming to introduce new instruments to make banking asset-backed securities (of facilities type) to education and research clients (families and firms), this study seeks to prove the hypothesis that the mortgage-backed securities can be employed to achieve the following goals. The first goal is to grant facilities to the students who are financially unable to pay tuition. This relieves the pressure on the Students Welfare Fund. The second goal is to grant business financing facilities to talented students. Finally, the third goal is to finance the firms that have research needs but are unable to cover the expenses through their revenues. Regarding 17 indicators, the research findings indicate that experts reached a consensus (Kendall's W= 0.702).

  One of the main problems of SMEs is how to finance their investments. The role of banks in this regard is crucial, since they can be a type of sources of financing through lending credits directly to SMEs. The key role of the paper thus relies on analyzing the effect of SMEs financing by the Iranian banking system.   The objective of this paper is to determine the influence of loans demanded by the SMEs on finance performance of the various Iranian banks. In addition, it studies the role of other important characters related to lending, bank efficiency, and economic performance in finance to SMEs through the banking system.   It is motivated by the hypothesis that macroeconomic-cyclical indicators and bank-specific variables influence the nonperforming loans in the banking system. This is carried out by an application to a logit model. Our findings indicate that several variables have significant effects on nonperforming loans in the Iranian banking system . Return of asset, equity return, SME loan to total loan ratio, inflation, current asset to current liabilities ratio, total SMEs€™ loans to total liabilities ratio and total SMEs€™ loans to total assets ratio have the pronounced significant impacts on nonperforming loans of the Iranian banking . The coefficient of loans to SMEs is significantly positive, which implies that a loan to SMEs increases nonperforming loans method while raising risks to the banking system. JEL Classification: C35, D22, E51

This paper investigates the key factors affecting the foreign direct investment (FDI) inflow to deve­­loping countries during the period (1995-2010) with emphasis on the financial development. Financial development, as an important factor in FDI absorption and a prerequisite for utilizing the benefits of FDI, not only increases the FDI inflow in developing countries, but also improve the absorption capacity and ability of these countries to utilize the benefits of FDI. Since the financial system consists of several components and provides a variety of services, various indicators, which represent the development of different aspects and components of financial system, have been applied in order to assess the impact of financial development on the FDI. Results indicate that development of various components of financial system (stock market and banking sector) as well as different aspects of financial development (size and activity level of financial system) all have positive and significant impact on the FDI inflow in developing countries during the studied period.

This paper investigates the key factors affecting the foreign direct investment (FDI) inflow to deve­­loping countries during the period (1995-2010) with emphasis on the financial development. Financial development, as an important factor in FDI absorption and a prerequisite for utilizing the benefits of FDI, not only increases the FDI inflow in developing countries, but also improve the absorption capacity and ability of these countries to utilize the benefits of FDI. Since the financial system consists of several components and provides a variety of services, various indicators, which represent the development of different aspects and components of financial system, have been applied in order to assess the impact of financial development on the FDI. Results indicate that development of various components of financial system (stock market and banking sector) as well as different aspects of financial development (size and activity level of financial system) all have positive and significant impact on the FDI inflow in developing countries during the studied period.

For Iran as an oil exporter country, heavy reliance on the extractive sector for generating fiscal revenues and export earnings translates into increased vulnerabilities to oil price shocks. The structure of the economic policy, and the banking systems make macroprudential policy a particular relevant tool for Iran. The capital adequacy is a macro prudential instrument used to maintain the stability of Iranian financial system by considering the bank capital condition. This paper examines the impact of capital adequacy on financing behavior in Iranian banking system. The paper uses generalized method of moment estimation (GMM) technique and by employing bank-level data for both public and private banks covering the period 2003-2016, we analyze the reaction of bank financing behavior toward capital adequacy policy. The findings indicate that capital adequacy ratio is observed to be effective in curtailing financing behavior of banking institutions. Furthermore, the results reveal that the impact of capital adequacy in managing credit expansion of private banks was greater than public banks.

Though financial services outsourcing has been increasing during the last decades, most outsourcing projects have failed due to qualitative criteria used in decision-making as well as being unaware of differences in environmental circumstances. This study aims at designing a model of deciding on outsourcing in state banks. The data of this applied, developmental research was collected, using descriptive-survey method and two instruments, namely, interview and quantitative were used in qualitative and quantitative sections, respectively. The sample of the study comprises of banking experts working in six state banks and the Central Bank of Iran. The initial model was derived, based on an analysis of the aspects of variables as well as the indices obtained from the theoretical principles and previous studies. The final research model, which consists of 6 factors and 22 subfactors was developed, using the Fuzzy Delphi Method and in triple consultation with 20 banking experts. The criteria were weighted, and the relationship between the criteria was examined, using F-DEMATEL method and ANP. The results of the study indicate that the following are the most significant criteria driving the decisions made by state banks on activities outsourcing: reliance on service providers, cost, the rapid delivery of services by the contractors, gaining competitive advantage, the existence of multiple contractors, improved control and overseeing.

Economic crisis imposes extensive losses on banks and credit institutions, thereby increasing their credit risk and dissolution. In fact, the economic conditions of countries are the major cause of financial stress, the destructive effects of which can greatly be reduced by accurate risk management in the banking system. This study aims to examine stress testing in the Iranian banking system by using the data of Iranian banks from 2008 to 2017. The results in the panel VAR framework and Monte Carlo simulation by using macroeconomic variables and credit risk show that the Iranian banking system is mostly affected by the scenarios of long-term shock in the macroeconomic factors of the country. In other words, changes in one period of the variables have a minimum effect on credit risk. However, a three-period horizon of interest rate and the inflation rate has the maximum effect, while economic growth has the minimum effect on the degree of default in Iranian banks.

The article is devoted to the modern development of high technologies and computer technology greatly enhanced the development of automated banking systems of banking sector organizations and allowed the synthesis of information and communication technologies for their formation. The main purpose of the article is to select the main indicators for assessing the level of financial security of the banking system of the state and identify promising areas of its development using forecasting models. In the process of research such analytical functions have been used: polynomial, exponential, power and logarithmic. The authors believe that the information and analytical provision of the financial security of the bank is an information provision that combines, on the one hand, information work, that is, ways, means and methods of collecting the necessary information, and on the other - analytical work, which includes forms and methods of information analysis and processing, which ensures an objective assessment of the situation and the adoption of a balanced management decision. As a result, forecast models were built for each of the indicators and also, it has been found that most indicators of the banking system of Ukraine in 2021-2023 will remain at “unsatisfactory” and “critical” levels. In conclusions it was proposed to introduce measures that would be aimed at improving the reliability and stability of the banking system of Ukraine.

This research aimed to rank the components of smart network governance in the Iranian banking system. This article discusses the prioritization of the governing elements of smart grids identified from the research conducted by the researcher is discussed. This research was carried out quantitatively and with a simple survey method. The participants of this research were managers and experts of the country's banking system. Participants were selected via purposive sampling with the criterion of at least 10 years of experience in banking management, at least a master's degree, and with the study field of preferably management. The data analysis was done using the method of network analysis process. Super Decision software was used for data analysis. The research results show that the components of the smart network governance model compiled in order of priority include behavioral factors, stability and economic prosperity, mechanism factors, legal considerations, structural factors, comprehensive development, and information and communication technology.