Today, the energy sector requires special attention, and the widespread introduction of digital technologies, including gamification, allows key problems related to the energy policies of the European Union to be solved. The literature analysis presented here discusses the use of gamification among home energy production customers. However, there is a lack of analysis on the use of this tool in the management of energy sector companies. When considering the advantages of gamification elements in the training process, there was mention of this tool potentially being able to be used in HR management to realize the EU’s energy goals. The relevance of the topic has been explored in international studies that have shown that gamification increases employee productivity and motivation. In the article, the directions of gamification in the practices of Ukrainian organizations are investigated. The main principles of effective gamification implementation in HR management, at energy enterprises in particular, are highlighted. A survey on gamification perception by Ukrainians from educational and related areas has been organized and analyzed. The survey results are supplemented by the results of the digitalization state analysis conducted for energy companies, which represent an important foundation for the implementation of gamification into practice. The prototype of a simulation model in which a solar panel must be connected to a controller is worked out as an example of the element usage incurred by gamification in the learning and training process, both in enterprise and in university activity. The present research underlines the importance of an interdisciplinary approach in gamification utilization, as it allows the skill-gaining processes in managerial and technical fields to be combined. The main advantages of gamification in HR management in enterprises are described by impact categories, such as staff appraisal, motivation, and corporate culture and internal communications. The use of gamification in companies in the energy sector is expected to contribute to the support of energy policy, as well as to the efficient integration of Ukrainian energy companies into the EU energy market.

The article presents a multicriterial approach to evaluating the efficiency of the energy transition in EU countries, emphasizing the relationship between resource efficiency and the results of transition. The study uses a data analysis methodology (DEA) to evaluate how effectively countries use resources (inputs), such as energy consumption, investment and innovative development, to achieve the desired results (outputs), including the renewable energy sources, reduction of CO₂ and labour trends. The use of DEA with Python 3.10 software made it possible to obtain objective performance and compare them with the energy transition index (ETI). The DEA and ETI based efficiency matrix has identified four clusters of countries: high efficiency and high transition readiness; high efficiency and low transition readiness; low efficiency and high transition readiness; low efficiency and transition readiness. Validation by means of a solution (DS) confirmed the reliability of the results. The conclusions emphasize that the higher efficiency of resource use does not automatically meet the higher transition indicators, which indicates the need to improve management, innovation spread and investment distribution. The study helps to develop evidence policy by offering a system for monitoring and comparative analysis of the efficiency of the energy transition in EU countries.

The achievements of Industry 4.0 are penetrating more and more widely and deeply into various spheres of economic activity. The article discusses the directions of using artificial intelligence (AI) in solving the problems of development in mining enterprises. Methods of achieving results in various directions using AI have been determined. Based on the characteristics of neural networks formation components, the model of the integration of neural networks into the information system of the mining enterprise as well as the main components of this model, their connection and dependencies are determined. The architecture of the proposed information system is described, which consists of four zones: the corporate zone, the operational zone, the control zone, and the intermediate zone. It was hightnlined that the functioning of the operating system of this model depends on the sensors that are installed on the mining equipments in the operational area of the enterprise. It is noted that the number of such sensors depends on the amount of data accumulated because of the activity of the enterprise’s equipment and the efficiency of the construction and functioning of neural networks. The factors that determine the effectiveness of the model and the precision of neural networks in the activity of mining enterprises are substantiated. It was established that the main criterion is the amount of information needed to analyze the object’s behavior and the possibility of predicting it in the future. The dependence of the effectiveness of the application of AI technologies on the level of digitization of the enterprise was considered, and it was also proposed to determine the indicators of the accuracy and efficiency of the functioning of neural networks in the information systems of the enterprise.

The study explores the transformation of energy resource consumption centered on energy efficiency within the global energy transition framework. The growing global energy demand, driven by industrialization, urbanization, and rising living standards, has led to increased fossil fuel consumption. This, in turn, contributes to higher greenhouse gas emissions, global warming, and other adverse environmental impacts. The study emphasizes the efforts of developed nations to curb these emissions, particularly by expanding renewable energy use, and notes the declining share of coal and other fossil fuels in national energy balances. The Energy Transition Index (ETI) is introduced as a measure of countries’ progress in advancing the energy transition, including efforts to enhance energy efficiency and mitigate environmental harm. The study also highlights Ukraine’s challenges in energy supply due to military conflict and infrastructure damage, underscoring the critical role of energy efficiency in rebuilding the country’s energy system and securing its energy future. Energy efficiency is identified as a key strategy for reducing dependence on fossil fuels, decreasing energy imports, and bolstering the economy’s resilience to external pressures.