Aizhana Maldynova

This paper presents the results of industrial field testing of the RD-D1+ intelligent safety helmet system under real operating conditions at a mining enterprise. The research focuses on a digital personnel monitoring system comprising intelligent safety helmets equipped with GSM/GPRS communication modules, GPS/BeiDou navigation, integrated telemetry sensors, and a dispatch monitoring software platform. The objective of the study was to evaluate the operational performance, reliability, and functional efficiency of the system during routine production activities and to assess its potential for large-scale deployment at industrial facilities. The research methodology included system installation and configuration, device registration within the information platform, field testing of communication and navigation channels, analysis of telemetry and event data, and post-processing of the collected monitoring information. The field tests confirmed stable GSM/GPRS data transmission, reliable operation of the navigation subsystem with the expected reduction in positioning accuracy inside metal structures and enclosed areas, accurate event recording, and stable performance of the photo and video recording modules. The obtained results demonstrate that intelligent safety helmets can provide continuous personnel monitoring, improve occupational and industrial safety, support digital management of labor protection processes, and contribute to the digital transformation of industrial enterprises. The study concludes that the proposed intelligent safety helmet system has reached a sufficient level of technological readiness for deployment at mining, oil and gas, and other industrial facilities.

In recent years, the development of e-Government in Kazakhstan has contributed to an increase in the level of digitalization of public administration and an improvement in the country's position in international rankings. However, a high level of digital maturity does not always go hand in hand with an increase in economic efficiency. The purpose of this study is to assess the economic efficiency of e-Government in Kazakhstan based on transaction costs reduction, the distribution of economic benefits among different economic agents, and the degree of integration of digital services into real administrative and economic processes. The study employs an institutional-economic approach. The empirical base includes macro-institutional indicators and microeconomic data on citizens and business representatives, analysed using descriptive statistics and comparative methods. The study results show that the economic effects of the e-Government system are unevenly distributed among different users. Users with higher digital literacy reduce greater transaction costs and use digital services more efficiently. In addition, it was found that the key determinant if economic efficiency is not the formal level of digitalization, but the degree of integration of digital services into real administrative and economic processes. The scientific novelty of the study lies in the comprehensive assessment of the economic efficiency of eGovernment in terms of transaction costs, economic benefit distribution, and institutional integration. The results highlight that digital inequality is an important economic factor affecting the effectiveness of digital reforms.

The object of the study is the agriculture of Central Asian countries. The problem addressed in the study is the insufficient understanding of differences in the effects of Internet use and mobile connectivity on fertilizer use intensity and food production. It remains insufficiently studied whether these effects are associated with agrochemical resource management, long-run adaptation, and diminishing returns from fertilizers. The empirical basis is a balanced panel dataset for 1992–2022, comprising 155 observations. Estimation used a panel Error Correction Model (ECM) with Driscoll-Kraay robust standard errors. The results show an asymmetric effect of ICT channels. In the long run, Internet use increases fertilizer use intensity (0.0047; p < 0.05), whereas mobile connectivity reduces it (–0.0055; p < 0.05). In the short run, only Internet use remains significant (0.0178; p < 0.01). Fertilizer use intensity has a negative long-run effect on food production (–0.0766; p < 0.05). Their direct effect on food production is not confirmed. The results are consistent with an indirect channel of ICT influence through fertilizer management. The nonlinear model confirms diminishing returns. The coefficient for the squared term of fertilizer use intensity is negative and significant (–0.0489; p < 0.05). This result is obtained by considering Internet use and mobile connectivity separately as ICT channels and by accounting for short-run, long-run, and nonlinear effects. Internet use is associated with access to heterogeneous information, while mobile connectivity is associated with coordination with suppliers and consultants. The results can be used to develop mobile advisory services, improve fertilizer management, and refine digital policy in Central Asian agriculture

In response to increasing expectations for efficiency and quality in public administration, the modernization of medical–administrative processes in Kazakhstan’s public healthcare organizations is gaining strategic importance. This study aims to identify factors that influence managerial and economic efficiency in public healthcare institutions, with particular attention to patient and staff satisfaction as indicators of public service quality and institutional resilience. The research is based on a quantitative methodology involving two parallel surveys: one among patients who received medical care, and another among medical personnel using a continuous sample of key professional categories. This approach provides a comprehensive view of how public healthcare services are perceived by both service recipients and frontline providers. The findings indicate that patients generally rate professionalism, communication, hygiene, and the availability of basic services positively. At the same time, many respondents report dissatisfaction with the level of digitalization and access to electronic public services. Similarly, medical staff view working conditions as satisfactory but note insufficient digital tools and a need to strengthen digital competencies. These results point to the necessity of reengineering public healthcare processes, emphasizing digital transformation, improved service design, and greater alignment with user needs. The research highlights the importance of systematically integrating citizen and employee feedback into mechanisms of quality management and public service improvement. It also outlines directions for further research, particularly the development of an assessment model for digital maturity and managerial performance in public healthcare organizations. Key words: economy, quality management, reengineering, service quality, citizen satisfaction, digital transformation, managerial efficiency.

Objective – to examine innovative approaches to forming consumer loyalty in digital retail and to assess the effectiveness of neuromarketing tools in managing customer behavior under conditions of digital transformation. Methods – mixed research methodology combining quantitative survey methods, comparative analysis, customer segmentation, and experimental neurosensory monitoring. The empirical study included 150 respondents divided into individuals, corporate clients, and dealers, as well as an experimental group of 40 participants exposed to different neuromarketing stimuli. Results – significant differences in satisfaction levels among customer segments were identified. Corporate clients and dealers demonstrated higher satisfaction with payment flexibility, service quality, and reliability of interaction, while individual consumers showed greater sensitivity to service speed and personalization. Neuromarketing stimuli, including dynamic lighting, video displays, background music, and scent marketing, positively influenced emotional engagement, duration of store visits, and purchase intention. In addition, 2025 retail trends confirm the growing role of mobile commerce, personalized offers, and omnichannel loyalty ecosystems in Kazakhstan. Conclusions – effective loyalty formation in modern retail requires the integration of behavioral analytics, segmentation strategies, and sensory marketing tools. The practical significance of the study lies in the possibility of applying the results to improve customer experience management and strengthen the competitive position of retail companies in Kazakhstan.

The article explores the current trends in the development of the world economy based on integration processes, emphasizing the growing interdependence of national economies under globalization. The analysis focuses on the European Union, where since the large-scale enlargement of 2004 the rapid expansion phase has given way to a period of adaptation and structural transformation. Special attention is paid to Poland, which ranks sixth among EU economies and has shown dynamic growth in the period 2000–2024. Statistical analysis of GDP, exports, and imports demonstrates that EU membership contributed to modernization of industry, diversification of trade, and improvement of the foreign trade balance, which turned positive after 2015. The study reveals that the elimination of customs barriers, harmonization of legislation, and access to EU funds became key drivers of Poland’s economic development, while integration also increased dependence on intra-European markets. The results confirm that EU member states gain the greatest benefits from integration, while the Polish case provides useful lessons for countries of Central and Eastern Europe seeking sustainable growth through regional integration.

Corruption remains a systemic constraint on economic development, institutional performance, and investment activity in transition economies. For Kazakhstan, the implementation of OECD anti-corruption standards represents a critical step toward improving public governance, enhancing transparency, and reducing transaction costs. This research aims to assess the economic consequences of adopting OECD integrity frameworks and to identify institutional mechanisms through which anti-corruption reforms influence national economic indicators. The research applies a mixed-method approach combining qualitative content analysis of OECD documents and national legislation with quantitative evaluation of macroeconomic data for 2010–2024. Comparative institutional analysis and econometric modelling were used to estimate the relationship between integrity indicators, regulatory quality, and investment dynamics. The results show that stronger institutional integrity, improved regulatory quality, and digitalization of public services correlate with higher inflows of foreign direct investment, reduced transaction costs, and moderate acceleration of economic growth. Partial institutionalization of OECD recommendations is identified as a key barrier limiting the full economic impact of reforms. The research develops an institutional-economic model explaining how OECD anti-corruption standards shape economic outcomes in Kazakhstan. It introduces a refined typology of economic effects arising from integrity reforms and provides evidence on the mechanisms linking institutional quality to investment and governance performance. Key words: economy, anticorruption, institutionalism, efficiency, regulation, reforms, governance

The digitalization of healthcare is becoming a crucial factor in improving the efficiency and accessibility of medical services worldwide. In Kazakhstan, the level of digital transformation remains uneven across regions. This research focuses on the East Kazakhstan Region, aiming to evaluate the impact of digitalization on healthcare services and identify the relationship between ICT integration and key demographic indicators. The research is based on statistical data from the Bureau of National Statistics of Kazakhstan, Ministry of Healthcare reports, and international sources covering the period 2020–2024. Methods applied include comparative and statistical analysis, trend modeling, and geographical contextualization with emphasis on regional healthcare infrastructure in Ust-Kamenogorsk. The research revealed a positive correlation between the increase in ICT specialists and improvements in mortality indicators, particularly maternal mortality. Results demonstrate a twofold increase in computer literacy among healthcare employees, significant growth in internet usage for professional tasks, and progressive but uneven adoption of ICT across healthcare institutions. Despite positive dynamics, challenges persist: insufficient funding for ICT, shortage of cybersecurity specialists, and limited training opportunities. The novelty of this research lies in its regional focus: it is the first systematic analysis of healthcare digitalization in the East Kazakhstan Region. The findings extend existing theoretical frameworks by incorporating regional heterogeneity and provide practical insights for policymakers to enhance digital healthcare strategies in Kazakhstan.

In the context of accelerated technological progress and global challenges related to sustainable development, the industrial sector of the Republic of Kazakhstan faces the task of rethinking approaches to ensuring industrial safety. The relevance of digital transformation in this area is due to the need to increase the level of worker protection, minimize man-made risks and integrate intelligent monitoring systems into the production environment. One of the innovative areas is the introduction of personalized intelligent solutions based on wearable devices that can provide continuous monitoring of the health, location and actions of personnel. This article discusses the theoretical foundations and practical aspects of the digitalization of industrial safety systems using new generation smart helmets. Particular attention is paid to the analysis of the results of pilot tests conducted based on two enterprises of the mining sector of the Republic of Kazakhstan - Kostanay Minerals JSC, Solidcore Resources, and Bakyrchik Mining Enterprise LLP. During the testing, all key functional modules of the smart helmet were tested, including GPS navigation, video broadcasting, biometric sensors and gas analyzers. It was found that the implementation of these technologies can significantly increase the speed of response in emergency situations, strengthen control over compliance with labor protection requirements and ensure the collection of objective information about the production environment in real time. Thus, the results demonstrate that smart helmets can become an integral part of the digital infrastructure of industrial safety. Their use is consistent with the strategic goals of sustainable development, including increasing the social responsibility of business, improving working conditions and reducing industrial injuries. This study lays the foundation for subsequent scaling of the use of intelligent safety systems in various sectors of the Kazakhstan industry.