The term "big data" has become an indispensable part of the corporate landscape. It refers to large volumes of data that originate from a wide variety of data sources (e.g., social media, assistance programs, surveillance cam-eras, or loyalty cards). Especially in recent years, the mass of data...

We respond to recent failed initiatives of the Czech banking market to develop business models for the sale of retail deposit products, based on third-party distribution channels. We argue that the issue is the application of inappropriate capital budgeting methods. While static cost-benefit...

This study aims to compare the Islamic and conventional banks' efficiency before and after global financial crisis. Furthermore, it also examines factors affecting the efficiency. Using Data Envelopment Analysis (DEA), this study finds that conventional banks are more efficient than those of...

Based on an unbalanced panel of all Bavarian cooperative banks for the years of 1989-95 which includes information on 243 mergers, we analyze motives for and cost effects of small-scale mergers in German banking. Estimating a frontier cost function with a timevariable stochastic efficiency term...

The article deals with the nature, the basic principles and objectives of the bank risk management system under modern conditions and requirements of regulators to the transparency of its activities. The authors developed a scheme of risk management and justified basic disclosure of banking...

The purpose of the article is to identify key banking activity models in Ukraine and show how they changed under the influence of the Revolution of Dignity, the COVID-19 pandemic, and the imposition of martial law. The proposed method uses cluster analysis of the main indicators for banking...

This study aimed at assessing entrepreneurial orientation (EO) and its impact on organizational performance. The study measure EO using innovativeness, proactiveness, and risk-taking which are key dimensions of EO. This researcher adopted a descriptive and casual research design for the study...

Big data and advanced algorithms using machine learning (ML) have changed the way financial products and services are produced, delivered, and consumed, and they have a potential to change the entire financial landscapes. Along with providing customers with better, faster, and cheaper services,...

Drawing on a quasi-experiment, this paper analyzes the effects of providing a large amount of firm information on bank screening ability and lending activities, borrower operation activities, and banking market concentration. The experiment suggests that increasing the amount of information...