ОСОБЛИВОСТІ РОЗВИТКУ БАНКІВСЬКОЇ ДІЯЛЬНОСТІ УКРАЇНАХ ЄС

This study aims to analyze the effect of service quality and Fear of Missing Out (FOMO) on public interest in using digital banks in Indonesia, with trust as a moderating variable. With the increasing digitalization in the banking sector, understanding the factors that drive public interest in digital banking has become crucial, particularly amid concerns over service security and reliability. This study employs a quantitative approach with a survey method involving 464 respondents, both users and non-users of digital banking services across Indonesia. Data analysis was conducted using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method with the assistance of SmartPLS software version 4.1.0.2. Service quality was measured using indicators such as reliability, accessibility, responsiveness, and service personalization. Meanwhile, FOMO was measured through indicators such as the perception of missing out, social anxiety, drive to adopt new technology, and social media influence. The results show that service quality has no significant effect on digital banking interest. However, FOMO has a significant positive effect on public interest in using these services. Additionally, trust has a significant but negative moderating effect on the relationship between FOMO and usage interest. This means that as trust in digital banking increases, the influence of FOMO on interest tends to decrease. This suggests that users who already trust the security of digital banking make more rational decisions and are less influenced by trends or social pressure. On the other hand, trust does not moderate the relationship between service quality and digital banking interest.

Gamification: Saving in Digital Banking is Like Playing A Game

The subject of the research is trends in the implementation of digital technologies in the banking sector. The relevance of the paper is due to the objective processes of global digital intervention of technologies in all spheres of human life and society. The research aims to identify, systematize and generalize key trends and regulations in the development of digital business models of banking services in Industry 4.0. For the first time, the authors identified and systematized modern trends and regulations in the development of digital business models of banking services in Industry 4.0, offered their own conceptual vision of the concept of “digital business model of banking services”. The authors apply general scientific, philosophical, analytical, statistical, problem chronological and historical-genetic methods, as well as methods of expert assessments. The article summarizes the main stages of the evolution of business models of the banking sector, reveals substantive and methodological differences between traditional remote banking services and digital banking, highlights the main business models for organizing digital banking; provides up-to-date data on the level of development of digital banking in the main geographic zones of the world; shows the dynamics and key areas of investment in the fintech industry in 2014–2019 and provides a critical analysis of their conditions; identifies problematic aspects of the development of digital business models of banking; describes the functionality of the main digital business models of Russian banks with the author’s assessment of their capabilities and examples of their use in Russian practice. The authors conclude that the main drivers of digitalization of the banking sector are stable growth of non-cash payments in the world and in Russia; stable growth of the global digital banking market; the impact of the COVID-19 pandemic on the active demand of consumers of remote financial services; increased competition in the retail banking market; and a significant decrease in margins for traditional banking products. Identification and systematization of trends and regulations in the implementation of digital business models of banking services can form the basis for further analysis of the specifics of digitalization and personalization of digital banking in Industry 4.0 for the sustainable socio-economic development of the country in terms of possible advantages and threats to the security of financial resources and personal data of customers.

Research purpose. The development of financial technology sector ( fintech ) poses a challenge for traditional financial institutions. Therefore, it is important to analyze not only how financial technologies can change, but also how the fintech sector affects banks and their profitability. The aim of the paper is to analyze the possibilities for the development of financial technology sector and quantitatively evaluate its impact on the banking sector’s profitability in Lithuania. Design / Methodology / Approach. After the analysis of academic literature and statistical data, the authors used expert evaluation method in order to identify development opportunities of fintech in Lithuania and correlation-regression analysis was applied to evaluate the impact of fintech on the profitability of the Lithuanian banking sector. Findings . According to the results of expert assessment research, Lithuania possesses favorable conditions for fintech enterprises to enter the Lithuanian finance market; it is expected that this sector will continue to rapidly expand mostly in payments and banking business models. Correlation-regression analysis showed that fintech indicators has an effect on the banking sector’s profitability but the effect in not very significant. The significance of the connection is lower because banking sector adapts technologies and is influenced by fintech from inside and outside the environment. Originality / Value / Practical implications. The fintech sector in Lithuania is still new and so far very little researched. The outcomes of this research have expanded the scope of research of the Lithuanian fintech sector. The obtained results would be useful and relevant to (i) the government sector to manage risks and ensure stability in the financial sector; (ii) financial sector entities to monitor possible developments and prepare them accordingly; and (iii) banking sector to analyze the impact of technology and fintech entities on them and take strategic decisions in this regard.

An Overview of GDP and Internet Banking Relations in the European Union Versus China

Background: In the digital era, community engagement plays a pivotal role in driving market share expansion in the banking sector, yet the impact of such initiatives across diverse regulatory and cultural contexts remains underexplored. Purpose: This study examines the influence of community engagement on the digital bank market share in Jakarta, Indonesia, and Perth, Australia, while addressing disparities in digital access and customer experience. Methods: Employing a quantitative methodology, the study analyzed structured surveys from 300 respondents (150 each from Jakarta and Perth) to uncover relationships between community engagement and market expansion. Results: Findings reveal that robust community engagement significantly enhances customer loyalty and market share in Jakarta, with digital literacy and infrastructure playing a critical role. In Perth, the effect is moderated by regulatory environments emphasizing innovation and consumer trust. These outcomes are inferred through improvements in technical capability, information/media literacy, and user experience, which serve as foundational mediators fostering customer trust, loyalty, and ultimately market expansion. Conclusion: Community engagement is a vital strategy for expanding digital banking market share, yet its effectiveness is contingent on contextual factors such as digital literacy, regulatory frameworks, and customer preferences. Implications: Practically, banks should tailor engagement strategies to local needs, focusing on building trust and addressing digital divides. Theoretically, this research extends the application of Digital Divide Theory in understanding digital banking adoption across contrasting contexts.

This article is devoted to the analysis of the Russian practice of information support of innovative activities of fi nancial and credit organizations in the fi eld of cloud technologies. The role of cloud technologies in the banking sector is evaluated, which in the process of information technology modernization allow banking systems to quickly develop and launch new solutions and services. The results of the sociological survey «Defi nition of the concept of cloud technologies by employees of the banking sector» are presented. The task of considering the use of various types of clouds in credit institutions is highlighted. Also, the prospects for the use of cloud technologies are presented, since a large amount of resource costs for entering information into operating systems remains an obstacle to improving production effi ciency. In addition, the task is to identify the most convenient and rational use of the cloud space for the progressive activities of fi nancial and credit organizations. The problem of technical channels of information leakage and their role in ensuring the economic security of a credit institution is described in detail. Special attention is paid to the assessment of the eff ectiveuse of innovative information technologies in the banking system in the conditions of digitalization of the economy during the pandemic; the aims and principles of the policy of digitalization of the banking sector, analyzes the factors infl uencing this development, basic problems and prospects of this direction. The promise of using cloud projects lies in the fact that they will significantly reduce various costs, ensure maximum data confidentiality, and act as a guarantee of security for customers. Such technologies will be considered by credit institutions as a priority way to develop IT infrastructure. The use of cloud technologies for the analysis of information support for innovative activities of fi nancial and credit organizations will allow to modernize the data storage system, simplify the systems of settlements with customers and other organizations, as well as reduce the cost of servicing various accounts. The above explains the relevance of this topic.

Recent evolution and trends in the EU banking sector

Traditional Brazilian banks have long been in environments with low competition, but in recent decades the banking sector in Brazil has experienced major changes from the strong technological influence in their services, the growth of competition and changes in customer profiles, being frequent strategic repositioning of organizations is required to generate and maintain competitive advantages. In this context, the objective of this work is to examine the alternatives for the performance of traditional Brazilian banks in the investment segment, from the perspective of dynamic capacity theory, to face the dynamics and new business models of this segment. It is a study with a qualitative approach, exploratory and descriptive from the perspective of dynamic capabilities, outlined here in the processes, positions and trajectories (TEECE; PISANO; SHUEN, 1997). The data collection process took place in a medium-sized city in Minas Gerais, between April and June 2020, composed of documentary research (report, publications and articles from companies in the market), 06 semi-structured interviews with banking and non-banking professionals who operate in the investment segment and 47 electronic forms answered by investors, contemplating the triangulation of data sources, and content analysis following the precepts of Bardin (1977). The results found signal the applicability of the dynamic capacities approach to analyze the performance of traditional banks in the investment segment in view of the competitive dynamism, pointing out an interdependence relation of the analyzed categories (process, position and trajectory), where it was found that the growth of traditional banks due to their successful market position, led them to adopt processes that made their structure less flexible, which may limit the choices and, consequently, the trajectories of these organizations in the analyzed segment. . The business model of traditional banks for the investment segment is considerably different from the most recent models (such as brokers, fintechs and digital banks), which makes it impossible for traditional banks to imitate the strategies adopted by these other models. The analysis of the data points to possible strategic paths for traditional banks, which include an increase in the specialization of services and products, which can be via the creation of specialized investment companies linked to traditional banks, but with independent operations or the reconfiguration of the current model of investment. service with the presence of specialized service points as a complementary service to banking services, especially in the high-income niche. Given that, in both alternatives, the presence of the figure of the “Investor Manager” is suggested, a professional with high technical qualification in the investment segment, the technological product of this dissertation was the elaboration of a professional training course for this manager role. investor qualified to act as investment adviser for traditional banks.

Over the last years, competition in the European banking sector has intensified considerably. The following factors have been decisive for that evolution: the liberalisation of the European financial sector, technological progress as well as an amplified diversification of savings and assets.The introduction of the Euro goes along with an accelerated integration of the market for financial services and leads to a further increase in competition and structural changes in the banking sector (Deutsche Bundesbank, 1999, Galati and Tsatsaronis, 2001). However, timeframe and depth of this structural change vary noticeably between the different sections of European banking. While the money market and the market for wholesale products (wholesale banking) already form a common European market, there still is an extensive segmentation of national markets for retail products (retail banking). Responsible for this low degree of integration in retail markets are a number ofnatural barriers, such as language or culture, as well aspolitically inducedmarket accessbarrierssuch as regulations or taxation, which make cross-border trade in financial services more difficult (ECB, 1999a). Further deregulation and harmonisation towards an integrated European retail market are suitable to increase customer benefits by fostering product diversification and lower prices.

Yatırım bankaları ve kalkınma bankaları gelişmekte olan ülkelerde birbirleri ile yakından ilişkilidir. Kalkınma bankaları, menkul kıymet piyasalarının zayıf olduğu ülkelerde yatırım bankacılığının teşvik edilmesinde önemli rol oynamakta ve uzun vadeli krediler vermekte iken yatırım bankaları, yeni menkul kıymetlerin ihracı ile ilgilenmektedir. Bankaların performansının ölçümünde; kar marjı, aktif verimliliği ve özkaynak çarpanı bileşenlerinden oluşan özkaynak karlılığı önemli bir gösterge olmaktadır. Bu çalışmada, Türk Bankacılık Sektöründe faaliyette bulunan Kalkınma ve Yatırım Bankalarının 2015 – 2020 dönemi performansları özkaynak karlılığı bileşenlerine göre incelenmektedir. Çalışma sonucunda; 2015 – 2020 dönemi boyunca kalkınma ve yatırım bankalarının bankacılık sektörü ortalamasına göre daha yüksek aktif karlılığı elde ettiği, ancak bankacılık sektörünün özkaynak çarpanı ortalamasının daha yüksek olduğu görülmektedir.

SMEs are crucial to reviving the national economy in times of economic globalization and the Covid-19 pandemic. One of the tactics required to boost the competitiveness of MSMEs is to take use of efficient financing options offered by banks. This study compares the effectiveness, effectiveness, and improvement potential of BPR and BPRS in West Java and their applicability to MSMEs. Data Envelopment Analysis (DEA) is the analysis employed, and the study period is from 2016 to 2021. The banking sector in Indonesia includes BPR and BPRS. In order to successfully navigate the era of economic globalization and national economic recovery, it is critical to assess the degree to which these two banks can collaborate in the best possible way to promote increased prosperity and competitiveness of MSMEs, primarily through productive financing. In West Java, 20 BPRs and 20 BPRS served as the research samples. The information used is secondary information gleaned from each bank's annual financial reports for the years 2016 through 2021. The study's input variables are third-party money, operating costs, and fixed assets. Operating income and provided funding are additional output variables. The findings of this study demonstrate that efficiency trends for BPR and BPRS in West Java varied across the study period of 2016–2021. While BPRS saw a considerable reduction throughout the epidemic, West Java's BPR efficiency remained constant. Furthermore, in West Java, BPRs are more efficient than BPRS when comparing the two types of banks. This study also examines potential changes that could be made to programs to reduce input and output-related inefficiencies. Furthermore, the output variables, notably the financing variables offered, are generally the root of the two types of banks' most important inefficiencies. Additionally, this study makes recommendations to academics, practitioners, and regulators.

Relying on a recently published database of financial crises, this paper assesses an early warning model for predicting banking sector distress. The exercise employs discrete choice models and a signaling approach to evaluate the performance of an existing model based on credit-to-GDP change and real house price growth in regard to predominantly post-crisis data for EU and Visegrad Group countries. As such, unbalanced panel data for 27 EU countries, spanning with annual frequency at longest the period of 2003-2017, as well as unbalanced panel data for 4 Visegrad Group countries covering at most the period 2008Q1-2017Q4 with quarterly frequency were analyzed. The results are generally in line with other empirical research featuring the same model and indicate that the model retains most of its predictive capabilities even when currently available data are used. However, the analysis identifies that the indicator of real house price growth may not be as useful of a predictor of banking crises in more recent periods for EU countries, as it might have been before the 2008 financial and economic crisis. Consequently, a simpler univariate early warning indicator approach might be sufficient for banking sector risk monitoring and management in EU and Visegrad Group countries in regard to identifying periods of distress similar to those in 2008.

Research background: The ongoing digital transformation within the European Union's banking sector, driven by the adoption of financial technologies (FinTech) and artificial intelli-gence (AI), has introduced substantial opportunities for enhancing operational efficiency, customer service personalization, and financial outreach. However, these innovations also generate strategic complexity, intensify competition from non-bank digital entrants, and create disparities in adaptation capacity across financial institutions. Despite a growing body of literature on this topic, empirical investigations remain limited regarding how these technologies differentially affect banks, based on their existing performance levels. Purpose of the article: This study examines the extent to which FinTech and AI integration influences financial performance across banks in all 27 EU member states. Specifically, it investigates whether these technological drivers yield uniform effects or whether their impact varies across banks depending on their baseline performance. The analysis is grounded in the premise that FinTech and AI are not inherently per-formance-enhancing and that their effects may depend on context, capacity, and strategy. Methods: Employing a panel quantile regression model, the analysis is based on a balanced panel dataset spanning the 2017–2023 period. To address both short- and long-term dynamics, the study complements its core estimation with a vector error correction model (VECM) and validates the robustness of findings through sys-tem-based regression techniques. The econometric framework incorporates bank-specific instruments and lagged performance metrics, with a particular focus on return on equity (ROE) as the dependent variable. Findings & value added: The results indicate that the adoption of FinTech and AI is associated with signif-icant improvements in performance metrics, particularly among well-capitalized or technologically agile banks. However, institutions with weaker fundamentals may experience limited or even adverse effects. These findings suggest that the performance implications of innovation are conditional, not universal. The paper contributes by offering a distribution-sensitive analysis that refines our under-standing of technological transformation in EU banking and provides actionable insights into strategic decision-making and regulatory oversight. Also, the results offer practical implications for bank executives considering strategic technology investments, as well as for regulators aiming to design supportive, risk-sensitive digital finance policies.

Research background: Recent financial crisis of 2007?2008 has influenced global banking system and led to reduction of cross-border bank lending in the EU and worldwide. Global banking network has been analysed extensively in prior or post-crisis periods, but the literature on regionalization is scarce, especially with regard to the banking sector in the EU. Moreover, in previous empirical research evaluation of banking sector regionalization using network analysis methodology has not been yet applied.
 Purpose of the article: The aim of the article is to map the EU banking network and to assess its regionalization during post-crisis period.
 Methods: the paper employs comparative literature analysis and synthesis; BIS bilateral interbank cross-border claim yearly flows matrix data and network analysis method (including network mapping, structural and comparative analysis and the data of intraregional and interregional banking network matrices) to assess the changes in regionalization of the EU banking system.
 Findings & Value added: The results of the research show that during post-crisis period both, EU 12 and EU 28, banking networks became more clustered and more decentralized; also the level of regionalization within the EU banking network increased. Such results prove that the EU banking network has undergone structural changes with respect to bilateral interbank cross-border claims. This research adds to the knowledge of regionalization processes within the EU banking network during the post-crisis period and intends to be beneficial for market participants, EU level governmental bodies and financial policy makers.