This article provides a detailed analysis of the significance of innovative management methods in higher education institutions, as well as the challenges encountered during their implementation. Innovative management is viewed as a system aimed at improving the quality of the educational process, preparing competitive professionals, and promoting scientific research. Based on the survey results, key factors for enhancing innovative management are identified, including the development of human resources, funding, and the use of information technologies. Recommendations for the implementation and development of innovative management models are also presented.
This article analyzes the theoretical foundations of innovative development in industrial enterprises. Innovation plays a vital role in increasing growth rates and competitiveness in an industry. The article examines various theoretical models of innovative development, their stages, and the specifics of their application in industrial enterprises. It also analyzes the internal and external factors necessary for effective innovation management. Recommendations for the practical application of theoretical knowledge are provided, and areas for further research are identified.
This study provides a comparative analysis of innovative development models that have played an important role in the global economy in the 21st century. The article takes an in-depth look at the innovation systems of the United States, the European Union, the Scandinavian countries, South Korea, Singapore, Japan, and Germany. Five main models - open innovation, Triple Helix, cluster innovation, public governance, and corporate strategies - are analyzed based on statistical data for 2024. The results of the study show that each model has its own advantages and is adapted to the institutional environment and economic characteristics of countries. Hybrid models and the integration of sustainable development goals have become the main trends in modern innovation strategies. The recommendations presented for Uzbekistan determine the ways to develop the national innovation ecosystem.
The article examined the integration of the digital economy and public debt management, as well as the formation of new financial models. Innovative areas of Public Debt Management based on Artificial Intelligence, big data, Blockchain and fintech technologies were analyzed. Scientific conclusions were developed based on international experience and macroeconomic indicators of Uzbekistan.
This article discusses the theoretical views of improving the efficiency of management of innovation processes in commercial banks, thanks to this, the issues of the development of the credit system have been studied. Practical proposals on Innovative activities of banks are also given, characterized by high uncertainty, which in turn requires the use of flexible and adaptive risk management models.
In the article, the prospects of improving the ways of ecotourism development in Surkhandarya region are outlined. According to the author, effective management and development of tourism industry potential of Surkhandarya region can be done by finding, introducing and adapting the current economic conditions, innovative tools and methods of improving management decision-making processes. Therefore, the author proposed a new way of conducting and managing the industry in order to ensure the development of the potential of the tourism industry and the successful operation of the development of ecotourism in the Surkhandarya region and on this basis "Surkhon Tourism" application was developed.
The article examines the issues of risky activities of small businesses, as well as risk management measures and problems of using insurance to minimize the risks of domestic business entities. Specific features of microinsurance products, their distribution channels, models for implementing microinsurance activities are identified, and foreign experience is studied. The need to use microinsurance as an innovative mechanism for managing small business risks is substantiated. Keywords:
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.
