The article describes a number of risk types that may arise as a result of the digitalization of traditional banking activities as a result of the transformation of banking activities and the level of risk may increase, the most common types of cyber threats aimed at bank customers and banks themselves and their specific aspects, New risk management systems in banks, steps of strategic bank risk management, and author's approaches to effective risk management in the digital environment are presented. Overall, this paper provides insights into the multi-faceted nature of risk posed by commercial banks in the face of transformation and digitization, and what can be done by banks to effectively manage and mitigate this pervasive risk factor and ensure sustainable growth for banks. provides information on the various methods used.

The article discusses the risks faced by commercial banks in their daily activities, which can negatively affect the financial condition and stability of banks. Banks face several types of risks in their activities. For this purpose, financial, operational, strategic, reputational, legal, international, natural disaster and environmental risks, medical and health, security, cost, technological risks are studied, and the requirements developed by the Basel Committee for studying the risks of banks are also studied.

This article discusses the important role of managing operational risks in the banking sector, with a detailed analysis of this issue in the context of commercial banks in Uzbekistan. Significant changes are being observed in the countryʼs banking system, and managing operational risks is becoming an integral part of ensuring financial stability. The article delves deeply into the organizational and methodological challenges banks face in their risk management processes. The insights and recommendations presented in the article are hoped to serve as a foundation for future research and for developing strategies to manage operational risks in the local banking sector.

The article analyzes modern approaches to improving the risk management system in commercial banks of Uzbekistan. It provides specific statistical data on commercial banks for the period of 2022–2025. Definitions are given for credit, market, operational, liquidity, reputational, and compliance risks encountered in banking activities and practices, along with proposed measures to prevent these risks in the Uzbekistan market. In this regard, methods for risk reduction are suggested through the implementation of artificial intelligence and machine learning technologies, as well as integrated solutions that encompass international standards, technological innovations, and the development of human capital to enhance the financial stability of banks.

This paper analyzes the risks of Islamic commercial banks and offers suggestions for their minimization. It discusses key risks, including credit, operational, regulatory, technological, and liquidity risks. Special attention is given to the impact of regulatory changes, digitization, and the implementation of new technologies on risk management effectiveness in Islamic banks. The paper proposes strategies to improve risk management systems, develop new financial products, and enhance financial literacy among employees. It emphasizes the importance of long-term stability and resilience of banks in the face of global changes.

This article analyzes the implementation of artificial intelligence technologies in commercial banking, examining their impact on operational efficiency, credit risk assessment, and customer service systems. International best practices were compared with the current state of the banking sector in Uzbekistan. The findings indicate that AI can reduce operational costs, enhance fraud-detection efficiency, and improve service speed; however, challenges related to data quality, algorithmic transparency, and cybersecurity remain. The study provides policy recommendations and practical measures to address these issues and to improve the effective integration of AI in banking operations.

The article is devoted to analyzing the transformation of the banking sector in the context of the active implementation of artificial intelligence (AI) technologies. It examines the key areas of AI application in banking activities, including automation of operational processes, intelligent risk management, personalization of customer services, and the development of innovative financial products. Special attention is given to how AI changes traditional banking business models, enhances banks’ competitiveness, and creates new strategic advantages in the financial market. The challenges and risks of digital transformation  including cybersecurity issues, the ethics of AI usage, and compliance with regulatory requirements  are analyzed. The study concludes that the integration of AI technologies into the banking system is becoming an essential condition for its sustainable development and global competitiveness.

This article discusses the development of a linear regression model for assessing business value in the oil and gas sector of Uzbekistan. The model integrates key economic and operational variables, such as global oil and gas prices, political stability, macroeconomic indicators, sales volumes, and others, including EBITDA and debt level. The study focuses on the statistical significance of variables and their impact on market value, thus providing a basis for strategic management and planning in the industry.

The article considers the methodological approach to the study of the theoretical foundations of financial processes in the logistics corporate structures of the economic system. As logistics processes are increasingly integrated into the strategic corporate structures of the foreign trade balance, financial mechanisms are becoming increasingly important in shaping the sustainability, investment activity and operational efficiency of this industry. The study assesses the importance of financial theory - capital structure, risk management and value maximization - in the logistics industry. An understanding of corporate finance, supply chain theory and dynamics at the microeconomic level is given.

This study investigates the impact of Environmental, Social, and Governance (ESG) disclosure on bank profitability and market value in Uzbekistan an underexplored emerging economy in Central Asia undergoing rapid financial and sustainability reforms. Using a panel dataset of 22 commercial banks from 2015 to 2024, we construct a hand-collected ESG disclosure index through systematic content analysis of annual and sustainability reports, supplemented by financial data from the Central Bank of Uzbekistan. Net profit margin serves as the primary measure of profitability, while Tobin’s Q and market capitalization proxy for market value. Employing fixed effects, random effects, and System Generalized Method of Moments (GMM) estimators to address endogeneity and unobserved heterogeneity, we find that higher ESG disclosure is significantly associated with improved bank profitability. Notably, this relationship is driven almost exclusively by the governance (G) pillar, while environmental (E) and social (S) disclosures show no statistically significant effects highlighting the context-specific materiality of ESG dimensions in transitional economies. Robustness checks, including lagged specifications, sub-sample analyses by ownership type, and alternative ESG measures, confirm the reliability of our findings. The results suggest that in Uzbekistan’s institutional environment characterized by ongoing corporate governance reforms and nascent green finance infrastructure transparency in board oversight, risk management, and anti-corruption mechanisms enhances operational efficiency and stakeholder trust, thereby boosting net margins. Our study contributes to the limited literature on ESG-finance linkages in Central Asia and challenges universalist assumptions about ESG materiality by demonstrating that governance remains the most financially relevant pillar in early-stage reform contexts. The findings carry important implications for regulators, bank managers, and international investors: prioritizing credible governance disclosure offers a strategic pathway to both financial performance and market legitimacy. As Uzbekistan advances its National Strategy for Green Economy Development, this research provides empirical grounding for sequenced, institutionally attuned ESG integration in the banking sector.