The Optimized Way of Commercial Bank Management under the Background of Big Data

With the advent of the era of big data, the commercial management activities of commercial banks are facing both new challenges and new development opportunities. In the increasingly fierce market competition, commercial banks must pay attention to enhance their core competitiveness, only in this way can they occupy a certain advantage in the fierce market environment. Therefore, commercial banks must accurately grasp the development opportunities brought by big data, and further strengthen the optimization of business management. The author explores and analyzes the impact of big data on commercial banks, and puts forward an effective way for commercial banks to optimize business management in the context of big data, hoping to contribute to the long-term development of commercial banks.

Commitments of commercial bank management

One of the basic problems of the banking system is the resource providing for the bank activities, and so the question of the resource potential management of the institution is actual today. The article deals with the economic essence and structure of the liabilities of commercial banks. A review of the specific features of banking and bank management defines the goal in the liability management. The dynamics of the resource base of Ukrainian banks. The article deals with the overall analysis of management problems for involved and borrowed resources of banks. Attention is concentrated on factors of banks' resources. Summarizes the main methods of deposit liability management. Considers the features of the borrowed resources management. Defines the main parameters of the resource base formation. Proposed future directions of research in the field of the liabilities management . The purpose of the study is to determine the peculiarities of managing the obligations of commercial banks and improve the methodology of this process. In the course of the study, attention was drawn to the process of forming a commercial bank's resource base, where two main management parameters need to be considered - the value of borrowed and borrowed funds and their volume. The most common source of formation of bank resources is customer deposits. The need to attract non-deposit resources arises in the event of a lack of current liquidity or as a result of an attempt to balance payment flows at subsequent dates. Further research should be directed to substantiate the methods, instruments and instruments of deposit and non-deposit policy, which will provide not only sufficient capital but also a high rating of a banking institution. It is determined that price and non-price management methods are used to provide the desired structure, volume and level of expenses on deposit liabilities. The essence of pricing methods is to use the interest rate on deposits as the main lever in the competition for free cash of individuals and legal entities. Raising the bid offered by the bank makes it possible to attract additional resources.

Financial Market Development and Risk of Commercial Banking Operation in Vietnam

This paper examines how bank risk varies with change in financial market development through a dataset of 25 commercial banks in Vietnam. Empirical results show that the bank risk is positively associated with the development of Vietnam’s financial market. Based on the research findings, we provide implications for commercial bank management and policy-making efforts.

Explaining Outsourcing Performance in Uganda’s Commercial Banks

This study aimed at investigating outsourcing performance in Uganda’s commercial banks basing on the variables of contract, relational norms, trust and commitment. It was motivated by the fact that where as outsourcing has been identified as a global trend in this millennium and a competitive strategy for the contemporary business, there were limited (if any) empirical studies on outsourcing performance in Uganda. Besides, previous studies conducted outside Uganda have provided conflicting views on whether or not contract and relational norms can be used concurrently to enhance outsourcing performance. The study was also intended to contribute to this debate by establishing the extent to which the variation in outsourcing performance was explained by the model that was developed. Findings revealed that the only significant predictor of outsourcing performance was contract and the model accounted for 40.1% of the variation in outsourcing performance. The findings present implications for commercial bank management in the area of contracting and contract management, which have to be addressed if outsourcing performance is to be enhanced and competitiveness in the banking sector improved.