This study examines the prospects of automating data collection, analysis, and systematization processes in human resource management. The research analyzes modern approaches to human resource management, the importance of automated systems, and their impact on organizational efficiency.

This article examines the issues of assessing organizational and economic efficiency and analyzing human resource policy in toy manufacturing enterprises. The research focuses on the activities of “Green Line Toys” LLC and “Toys City” LLC. The study analyzes workforce size, age and position structure, wage policy, management costs, and financial performance over the period 2021–2025. Economic-statistical, comparative, and dynamic analysis methods were applied in the research process. The findings indicate that significant changes in workforce size and structure particularly during periods of intensified automation have a direct impact on the financial stability and profitability of enterprises. The study confirms that a balanced HR policy and effective optimization of management costs play a crucial role in improving organizational and economic efficiency

This article examines professional standards as a strategic instrument for transforming the workforce training system in the Republic of Uzbekistan amid ongoing labor market reforms. A comparative analysis is presented of approaches to the development and implementation of professional qualifications in the United Kingdom, New Zealand, Russia, and Albania. Based on an analysis of the regulatory framework and the application of standards in Uzbekistan’s tourism sector, key challenges and barriers are identified. The results of an empirical study reveal the levels of perception of professional standards among employers and educational institutions, as well as indicate directions for the institutional development of the national qualification system. Particular attention is given to the adaptation of international practices to the national context. Based on a conducted SWOT analysis, recommendations are formulated for improving mechanisms of implementation and updating of professional standards.

In this article, the issues of effective development of the innovative potential of a manufacturing enterprise in the context of the digital economy are analyzed from a scientific-theoretical and practical point of view. The study highlights the influence of digital technologies, human capital, financial and organizational resources on the innovative potential of the enterprise. The level of digitalization of production processes, indicators of innovation activity, and their impact on efficiency were also studied. The article develops recommendations for increasing the efficiency of resource use, improving management and innovation processes through the implementation of digital transformation, automated systems, "Big Data," IoT, and artificial intelligence technologies