INTERNATIONAL SCIENTIFIC-ELECTRONIC JOURNAL “PIONEERING STUDIES AND THEORIES”
Journal organizers: "PARALLAX IT CLUB" Limited Liability Company Yakhshiboev Rustam Erkinboy ugli - Tashkent State University of Economics, Department of Finance and Digital Economy, associate professor Type: Scientific-Electronic Journal Journal Name: Pioneering Studies and Theories Volume and Frequency: Articles are published as an electronic collection once per quarter Year Established: 22.01.2025 ISSN: 3060-5105 The Pioneering Studies and Theories international scientific journal accepts articles in the following fields: 08.00.00 – Economic Sciences 05.00.00 – Technical Sciences 13.00.00 – Pedagogical Sciences Goals and Objectives: The INTERNATIONAL SCIENTIFIC-ELECTRONIC JOURNAL "PIONEERING STUDIES AND THEORIES" publishes the results of scientific research conducted by professors and educators from educational institutions, as well as independent researchers within our Republic, in the form of scholarly articles. Additionally, the journal includes scientific articles authored by employees of international and other scientific institutions, production organizations, and enterprises within our Republic who are engaged in research activities. Article Submission Deadline: During the first month of each quarter. Language of Submission: English Publication Date: During the third month of each quarter Official Website: www.pstjournal.uz Telegram Channel: https://t.me/pst_journal
EXPLORING HOW UZBEK STUDENTS ENGAGE WITH AND PERCEIVE ONLINE MARKETING STRATEGIES ON THE UZUM APPLICATION: A QUALITATIVE INQUIRY
This study examines how university students in Uzbekistan engage with and perceive online marketing strategies on the Uzum application, a rapidly growing digital platform in the country’s evolving digital economy. Using a qualitative research design, semi-structured interviews were conducted with twelve students to explore their experiences, interpretations, and responses to Uzum’s marketing features. Thematic analysis revealed four major patterns: perceived usefulness and convenience, trust and credibility, personalization and relevance, and user frustration due to ad fatigue. Findings indicate that while students appreciate time-saving promotions and personalized recommendations, their engagement is shaped by the transparency of prices, consistency of marketing messages, and prior experiences with the platform. However, excessive notifications and irrelevant recommendations can reduce satisfaction and trust. Overall, the study highlights the importance of user-centered marketing approaches and provides insights for digital platforms seeking to enhance engagement among young consumers in emerging digital markets.
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THE EVOLUTION OF DIGITAL MARKETING STRATEGIES AND THEIR INFLUENCE ON CONSUMER ENGAGEMENT AND BRAND LOYALTY
The rapid advancement of digital technologies has fundamentally redefined how brands communicate, compete, and cultivate long-term relationships with consumers. This paper examines the evolution of digital marketing strategies and their influence on consumer engagement and brand loyalty across four major developmental phases. Employing a narrative thematic synthesis methodology, the study systematically reviewed 38 peer-reviewed sources retrieved from four databases—Google Scholar, JSTOR, Scopus, and Business Source Complete—published between 1994 and 2023, with analytical emphasis on contributions from 2015 onwards. The review identifies four major evolutionary stages: the establishment of static online presence (Web 1.0), the emergence of interactive social media platforms (Web 2.0), the shift toward mobile-centric and omnichannel marketing, and the adoption of AI-powered personalization and predictive analytics. The findings indicate that interactivity, content relevance, and emotional storytelling constitute the primary drivers of consumer engagement, enabling brands to develop more meaningful and sustained relationships with their audiences. Furthermore, individualized experiences, consistent communication, and value-oriented digital relationships are increasingly critical determinants of brand loyalty. These strategies present significant challenges, including concerns over data privacy, content oversaturation, and algorithmic dependency. The paper makes three principal contributions: theoretically, it integrates Customer Engagement Theory, Commitment–Trust Theory, ServiceDominant Logic, and Relationship Marketing Theory into a unified analytical framework; methodologically, it provides a structured four-phase periodization of digital marketing evolution; and managerially, it offers actionable strategic insights for brand practitioners navigating the contemporary AI-driven marketing landscape. The paper concludes that digital marketing will continue to evolve toward immersive technologies and ethically informed personalization, with consumer trust and transparency remaining central to long-term brand allegiance
FINANCIAL MANAGEMENT PRACTICES AND SUSTAINABILITY OF MSMEs IN UZBEKISTAN:A STUCTURED NARRATIVE REVIEW
The sustainability of MSMEs during economic transition is influenced by their ability to manage finances effectively, including preparing budgets, managing capital, obtaining funding, and utilizing financial technology. Many studies on this topic have been conducted globally. However, comprehensive studies on financial management and its relationship to the sustainability of MSMEs in post-Soviet countries, particularly Uzbekistan, remain very limited. Using the Dynamic Capability Theory (DCT) framework, this paper highlights three key financial management practices that influence MSME sustainability: improving operational efficiency, strengthening financial stability, and fostering strategic adaptability. This article uses a structured narrative review approach, drawing on literature from 2019 to 2025, and a contextual analysis based on secondary data from the IMF, ADB, OECD, and World Bank. The analysis results show that in Uzbekistan, the ability to manage finance can have an impact that is stronger than in countries with more stable economies. The contribution of this research is an integrated conceptual framework comprising five aspects: a three-track sustainability-based DCT model and guidance for policy stages for further empirical research
STRATEGIC MANAGEMENT OF CONSUMER DECISION-MAKING AS A FACTOR IN STRENGTHENING THE COMPETITIVE POSITION OF HIGHER EDUCATION INSTITUTIONS
This article examines the role of strategic management of consumer decisionmaking in strengthening the competitive position of higher education institutions. In the modern higher education market, universities operate not only as academic organizations but also as service providers that must understand the expectations, needs, and behavioral motives of applicants, students, parents, employers, and other stakeholders. The choice of a higher education institution is increasingly influenced by a combination of academic quality, institutional reputation, tuition affordability, employment prospects, digital services, international cooperation, infrastructure, and the practical value of the degree in the labor market. The article emphasizes that consumer decision-making in higher education should be considered a strategic management issue rather than a narrow marketing task. A higher education institution can strengthen its competitive position when it systematically studies consumer behavior, adapts educational programs to labor market requirements, develops a trustworthy institutional brand, improves student experience, and builds effective communication with target audiences. The study argues that sustainable competitiveness in higher education depends on the ability of universities to create real value for students and to align educational services with social, economic, and professional expectations. The findings of the article show that strategic management of consumer choice contributes to the formation of long-term competitive advantages. These advantages are reflected in improved educational quality, stronger student attraction and retention, better graduate employability, enhanced institutional image, and closer integration with the needs of the labor market. Therefore, higher education institutions should develop consumer-oriented management mechanisms as an essential condition for increasing their competitiveness in a dynamic and increasingly diversified education services market.
REFUGEE INCOME INEQUALITY: EVIDENCE FROM NATIONAL DATA ANALYSIS IN THE UNITED STATES
This research scrutinizes the income determinants of resettled exiles in the United States using data from the 2022 Annual Survey of Refugees (ASR) with 1,152 participants. The anylize applies Ordinary Least Squares (OLS) retrogression and variable selection via the Least Absolute Shrinkage and Selection Operator (LASSO).The analysis reveal that the strongest predictor of income is the country-of- origin income level, where displaced persons from upper-middleincome countries earn 68.2% furtherthan those from low-income nations (p < 0.001). Education is a meaningful factor, with the highest returns seen among those holding a bachelor’s degree (69.9%).A gender gap persists, with women earning 12.5% less than men. The 51–60 age group shows a significant lower in income (-27.3%), and more recent arrivals earn 14–16% less, recommending a gradual way for economic adjustment .The research suggests that refugee income is influenced by human capital, pre-migration factors, and rules for joining together, calling for enhanced credential recognition and employment policies that respect gender.
PROSPECTIVE DIRECTIONS FOR MARKET DEVELOPMENT BASED ON THE EFFICIENCY OF KNOWLEDGE AND COMPETENCY SYSTEMS IN THE REGION
This study explores the prospective directions of market development based on the efficiency of knowledge and competency systems at the regional level. In the context of the modern knowledge-based economy, human capital, professional competencies, and innovation capacity are considered key drivers of sustainable economic growth and competitiveness. The research analyzes the role of knowledge and competency systems in shaping market development and identifies the main factors influencing their effectiveness, including education quality, innovation activity, and digital transformation. A comprehensive approach is applied to evaluate the impact of these factors on regional market performance. The findings highlight that improving knowledge and competency systems significantly enhances market efficiency, investment attractiveness, and labor productivity. Based on the results, strategic recommendations are proposed to support innovation, strengthen the linkage between education and industry, and foster a competitive and sustainable regional economy.
SELECTION OF WORKS OF ART FOR THE PROCESS OF DEVELOPING SPIRITUAL AND MORAL IDEALS IN STUDENTS ON THE EXAMPLE OF ENGLISH CLASSICAL LITERATURE
Artistic works possess significant potential for effectively influencing an individual’s intellectual, moral-spiritual, and emotional-aesthetic development. Therefore, literary works have been actively used in the education and upbringing of individuals for centuries. English classical literature undoubtedly occupies an important place in the development of universal culture and the socio-cultural progress of society. In the context of Uzbekistan, the growing interest in learning the English language, young people’s ability to communicate in this language, as well as the educational potential of English classical literature in developing intellectual, moral-spiritual, and emotionalaesthetic qualities, indicate the expediency of using it in the formation of students’ moral and ethical ideals. The article examines the organization of pedagogical activities aimed at developing students’ moral and ethical ideals, as well as the selection of examples of English classical literature that contribute to achieving effectiveness in this process.
ENHANCING HUMAN RESOURCE MANAGEMENT EFFICIENCY IN MANUFACTURING INDUSTRIES BASED ON MODERN MANAGERIAL APPROACHES
This article examines the issue of enhancing human resource management efficiency in manufacturing industries based on modern managerial approaches. The relevance of the topic is determined by the growing need for industrial enterprises to improve labor productivity, strengthen workforce adaptability, and ensure sustainable development under conditions of technological change, market competition, and organizational modernization. In the manufacturing sector, human resources represent not only a labor factor, but also a strategic asset that directly influences production stability, product quality, innovation capacity, and the long-term competitiveness of enterprises. For this reason, the modernization of human resource management has become one of the central directions of industrial management improvement. The study is based on the assumption that traditional personnel management models are no longer sufficient for manufacturing industries that operate in a dynamic environment requiring flexibility, efficiency, and continuous professional development. Special attention is given to modern managerial approaches such as competency-based management, performance-oriented evaluation, motivation systems, workforce planning, digital HR tools, and the integration of strategic and operational personnel decisions. The article substantiates that the efficiency of human resource management in manufacturing industries depends on the extent to which enterprises are able to combine organizational goals with employee development, labor discipline, professional training, and effective managerial coordination. The research shows that the application of modern managerial approaches contributes to improving the quality of personnel decisions, optimizing labor organization, increasing employee engagement, and strengthening the overall effectiveness of production management. As a result, the article proposes conceptual directions for enhancing human resource management efficiency in manufacturing industries, aimed at ensuring higher productivity, stronger organizational resilience, and more sustainable industrial growth.
DIGITAL INNOVATION ECOSYSTEMS AS A MECHANISM FOR ECONOMIC DEVELOPMENT
This article examines digital innovation ecosystems as an important mechanism for economic development in the context of the growing digitalization of production, business, and social relations. The relevance of the topic is determined by the fact that in the modern economy, innovation is increasingly created not within isolated organizations, but through interaction among firms, technology platforms, research institutions, startups, investors, and public authorities. In such conditions, digital innovation ecosystems become a special environment that supports the generation, diffusion, and commercialization of new ideas, technologies, and digital solutions. Their role is especially significant because they contribute not only to technological progress, but also to structural economic transformation, productivity growth, and the strengthening of national competitiveness. The study is based on the understanding that digital innovation ecosystems function as interconnected networks in which digital infrastructure, data exchange, institutional support, and collaborative management create conditions for sustainable innovation activity. The article emphasizes that such ecosystems enhance economic development by accelerating knowledge transfer, reducing barriers to innovation, improving access to digital resources, and stimulating entrepreneurial activity. Particular attention is given to the interaction between technological, organizational, and institutional factors that determine the effectiveness of digital innovation ecosystems in various sectors of the economy. The research shows that digital innovation ecosystems can serve as an effective mechanism for economic development when they ensure coordination among key actors, support continuous innovation processes, and create favorable conditions for the emergence of new business models and digital markets. As a result, the article substantiates the importance of strengthening digital infrastructure, institutional cooperation, and innovation-oriented governance in order to improve the contribution of digital innovation ecosystems to long-term and sustainable economic growth.
IMPROVING STRATEGIC MANAGEMENT MECHANISMS FOR SERVICE SECTOR ENTERPRISES IN THE CONTEXT OF DIGITAL TRANSFORMATION
This article examines the improvement of strategic management mechanisms for service sector enterprises in the context of digital transformation. The relevance of the topic is determined by the growing influence of digital technologies on managerial decision-making, customer relations, business process organization, and the long-term competitiveness of service companies. The study is based on the idea that digital transformation should not be interpreted only as the introduction of new technologies, but as a comprehensive managerial change affecting strategic priorities, organizational structure, resource allocation, and performance control systems. Particular attention is given to the adaptation of strategic management tools to the changing conditions of the digital economy, where speed, flexibility, data-driven decisions, and customercentered approaches become decisive factors of sustainable development. The article analyzes the main directions for improving strategic management mechanisms in service enterprises, including the integration of digital platforms into management practice, the strengthening of analytical support for strategic planning, the modernization of organizational coordination, and the development of adaptive models of competitive behavior. It is substantiated that the effectiveness of strategic management in the service sector increasingly depends on the ability of enterprises to combine technological modernization with managerial innovation. The research also highlights the importance of digital competencies, strategic monitoring, and the use of integrated information systems for increasing managerial efficiency. As a result, the paper proposes a conceptual approach to improving strategic management mechanisms that can enhance the resilience, responsiveness, and market sustainability of service sector enterprises under conditions of rapid digital change.
INTERNATIONAL EXPERIENCE IN MARKETING MANAGEMENT AND PRODUCTION EFFICIENCY IMPROVEMENT: LEAN MANAGEMENT AND THE REFA METHOD
This article is devoted to the international experience in marketing management and improving production efficiency through the application of lean management concepts and the REFA method. It demonstrates how the integration of marketing strategies with tools for enhancing production efficiency contributes to cost reduction, improvement of product quality, and strengthening of a company’s competitive position in international markets.
CURRENT STATE, CHALLENGES, AND DEVELOPMENT PROSPECTS OF ELECTRICAL ENGINEERING INDUSTRY ENTERPRISES IN UZBEKISTAN
This article provides a scientifically grounded analysis of the export dynamics of electrical engineering industry enterprises in Uzbekistan over the period 2017–2025. The study reveals that industrial output increased 9.5 times, reaching 35 trillion UZS, while exports grew 7.4 times to 1,400 million USD. The paper extensively examines global trends in the electrical engineering market, the geography of Uzbekistan’s exports, a quantitative analysis by major product groups, the impact of state policy, and target indicators for 2025–2030. As a conclusion, practical recommendations for enhancing export potential are developed
ARTIFICIAL INTELLIGENCE–BASED PROTECTION METHODS AGAINST SQL INJECTION IN RELATIONAL DATABASES
SQL injection attacks remain a pervasive threat to the security of web applications, especially those backed by relational databases such as PostgreSQL and Oracle. Traditional defensive techniques – from static code analysis to runtime firewalls – often rely on rule-based heuristics and secure coding practices (e.g. using prepared statements) that struggle to keep pace with evolving attack patterns. Recent research has turned to artificial intelligence (AI) and machine learning (ML) to detect and prevent SQL injection dynamically, learning malicious query patterns from data rather than static rules. This paper surveys modern scientific literature (with an emphasis on IEEE and ACM sources) on protecting relational databases from SQL injection, focusing on applied methods implemented in Java environments for PostgreSQL and Oracle databases. We review state-of-the-art solutions, including static analysis tools, runtime monitoring systems, and novel AI/ML-driven detectors. We highlight cutting-edge approaches such as deep learning models (e.g. CNNs, LSTMs, transformers) that automatically learn query features, and discuss how these can be integrated into Java applications. We analyze system architectures and algorithms from recent studies, and illustrate practical implementations with code examples and system diagrams. Building on these insights, we propose an original approach – a graph-based ML detection system integrated at the JDBC driver level – that leverages the structural patterns of SQL queries and adaptive learning to thwart injection attempts in real-time. This proposed method aims to advance the state of the art by combining parse-tree analysis with deep neural networks, offering both scientific novelty and practical significance. The paper follows the IMRaD structure (Introduction, Methods, Results, Discussion), and includes an evaluation plan using real-world attack data on PostgreSQL and Oracle. Our work not only demonstrates the promise of AI-driven SQL injection defenses but also provides a blueprint for deploying these techniques in enterprise Java applications.
THE ROLE OF SMALL BUSINESS IN THE SOCIOECONOMIC DEVELOPMENT OF THE REGION AND ITS STIMULATION THROUGH TAXATION (IN THE CASE OF KHOREZM REGION)
This article analyzes the role of private entrepreneurship and small business entities in socioeconomic development of the region, using the Khorezm region as a case study, and examines the issues of their stimulation through tax incentives. Throughout the research, the position of small business entities within the regional economy is analyzed, and the role of small business in ensuring public employment is studied. The significance of the taxation system in enhancing the investment opportunities of small business entities is evaluated. Furthermore, the study is conducted based on statistical reports across 12 districts of this region, exploring the efficiency of small businesses and the matters of their stimulation through taxation.
ECONOMETRIC ANALYSIS OF INDUSTRIAL SECTOR DEVELOPMENT AND FORECASTING MODELS
This study examines the econometric analysis of industrial sector development and proposes forecasting models to assess future growth trajectories. The research focuses on identifying key determinants of industrial performance, including investment inflows, labor productivity, technological intensity, and structural transformation. Using modern econometric techniques, the study evaluates the relationship between industrial output and macroeconomic indicators. Trend analysis, multiple regression modeling, and scenario-based forecasting approaches are applied to estimate short- and medium-term industrial growth prospects. The findings demonstrate that investment intensity, innovation capacity, and structural diversification significantly influence industrial development. The proposed forecasting models provide a reliable analytical framework for evidence-based industrial policy formulation and strategic economic planning.
IMPROVING THE MANAGEMENT OF HIGHER EDUCATION INSTITUTIONS IN UZBEKISTAN BASED ON DIGITAL GOVERNANCE MECHANISMS
This article examines the issues of improving the management of higher education institutions in Uzbekistan through digital governance mechanisms. It argues that, under the conditions of rapid digital transformation in the higher education system, there is a growing need to introduce modern management approaches that can enhance the efficiency of administrative processes, ensure greater transparency in decision-making, improve the quality of educational services, and strengthen institutional sustainability. Particular attention is given to the role of digital platforms, automated management systems, data analytics, electronic document flow, and integrated information solutions in the modernization of university administration. The article highlights the organizational and managerial advantages of the digital governance approach, especially in optimizing internal processes, strengthening performance control, increasing the speed of information exchange, and supporting data-driven strategic planning. It also identifies the key barriers to effective digitalization of university management in Uzbekistan, including the insufficient integration of information systems, the limited digital competencies of administrative staff, and the need to improve institutional mechanisms. Based on the findings, the article proposes several directions for enhancing the effectiveness of higher education management through digital mechanisms aimed at sustainable development, greater competitiveness, and alignment with contemporary requirements of the higher education system.
ECONOMETRIC ASSESSMENT OF FACTORS INFLUENCING THE DEVELOPMENT OF PRIVATE BUSINESS ENTITIES
This article provides a comprehensive assessment of macroeconomic factors affecting the number of private business entities operating in the Republic of Uzbekistan for 2010– 2024 using econometric methods. The main objective of the study is to determine the relationship between the number of private enterprises and tax incentives, electricity production rates, fixed capital investments, and the consumer price index using correlation-regression analysis and to develop a multifactor econometric model. The scientific novelty of the study lies in the assessment of the development of the private sector using complex econometric modeling based on several macroeconomic indicators at the same time. The practical significance of the results is manifested in the possibility of using them to improve the state's fiscal and investment policy, optimize entrepreneurship support mechanisms, and develop long-term economic forecasts.
THE ROLE OF PEDAGOGICAL INNOVATIONS IN IMPROVING THE QUALITY OF EDUCATIONAL SERVICES IN THE CONTEXT OF GLOBALIZATION
This article explores the vital role of pedagogical innovations in improving the quality of educational services in the context of globalization. In today’s rapidly changing world, globalization is reshaping not only economies and cultures but also educational systems. As countries become more interconnected, educational institutions face increasing pressure to meet international standards, integrate modern technologies, and prepare students for global competitiveness. In this environment, traditional teaching approaches are often insufficient, making pedagogical innovation a key factor in ensuring quality and relevance in education. The article analyzes how innovative teaching methods such as student-centered learning, digital technologies, blended and online learning, project-based learning, and competency-based education contribute to enhancing learning outcomes and developing critical 21st-century skills. Particular attention is given to the role of information and communication technologies (ICT), interactive platforms, and artificial intelligence in transforming teaching and assessment practices. The study emphasizes that innovation in pedagogy is not limited to technology alone, but also includes changes in curriculum design, assessment strategies, teacher professional development, and institutional management.
DIGITAL LOGISTICS TRANSFORMATION AS A DRIVER OF INTERNATIONAL TRADE COMPETITIVENESS IN ENTREPRENEURSHIP WITHIN THE GLOBAL ECONOMY
In an era defined by accelerating technological disruption and the deepening integration of global markets, the digital transformation of logistics has emerged as a strategically decisive determinant of international trade competitiveness for entrepreneurial firms. The present study critically examines the mechanisms through which digital logistics transformation functions as a principal catalytic force in reshaping the competitive architecture of firms engaged in cross-border commerce within the contemporary globalized economy. Situated within the broader theoretical context of the Fourth Industrial Revolution which marks a decisive transition from the information age to the age of digital intelligence the logistics sector is currently undergoing a profound and irreversible structural reconfiguration, propelled by the rapid proliferation and institutional embedding of digital economy instruments across global value chains. Drawing upon a systematic and comparative analysis of scholarly contributions and practitioner-oriented perspectives across multiple national and regional contexts, this study investigates the transformative implications of progressively adopting a constellation of advanced digital modern technology like artificial intelligence, Big Data, internet of things, cloud technologies, and mostly multi-party logistics services with first-party logistics (1PL) through fifth-party logistics (5PL).
ASSESSMENT OF INVESTMENT EFFICIENCY BASED ON INDUSTRIAL PRODUCTION GROWTH RATES AND INVESTMENT DYNAMICS
This article provides a scientific analysis of priority approaches until improving the efficiency of investment activities in industrial enterprises . Using updated statistical data for 2025, it conducts a comparative and structural assessment of Uzbekistan's fixed capital investment volumes, industrial output growth rates, and the dynamics of foreign investment. The study systematizes the key determinants of investment efficiency and substantiates their linkage to economic performance through technological modernization, the acceleration of innovation activity, the improvement of financial management mechanisms, and the enhancement of the investment climate's attractiveness. The findings offer a methodological basis for developing applied recommendations to support investment project selection, resource allocation, and the optimization of investment decision-making in industrial enterprises.
DEMAND MANAGEMENT IN MODERN ELECTRIC POWER SYSTEMS
In recent years, due to the energy transition taking place in many countries around the world, processes of energy transition have also begun in Uzbekistan. This transition is associated with a shift toward green energy and the solution of the problem of diversifying energy sources, the development of market relations, as well as the digitalization and intellectualization of the energy sector. Under these conditions, at all stages of the transition, it is necessary to ensure the reliability of electricity supply to consumers and the stable operation of electric power systems (EPS) under various operating modes. Therefore, conducting research on the use of effective methods to reliably supply consumers with high-quality electric energy, including during the operation of wind and solar power plants with unstable operating modes, is highly relevant. One of such effective methods is operational demand management.
NONLINEAR VIBRATIONS AND STABILITY OF VISCOELASTIC CYLINDRICAL SHELLS UNDER COMPRESSIVE LOADS
In this article, the stability of a cylindrical shell is investigated in a geometric nonlinear setting. The cylindrical shell is subjected to static and dynamic influences. The shell material is orthotropic and has rheological properties that are described by the hereditary Boltzmann-Voltaire theory. The characteristic deflections equal to the shell thickness are taken as a criterion for dynamic buckling. As a result of the study, the character of measuring the deflection of the shell, taking into account the rheological properties of the material, was obtained. It was revealed that with an increase in the loading rate, the dynamic critical load increases several times in comparison with the static one.
PROPOSALS FOR IMPROVING THE MECHANISM FOR IMPLEMENTING THE REGIONAL FOOD MARKET INTO PRACTICAL MEASURES
The article reveals the domestic potential of food production. A set of measures to be implemented in the Fergana region to achieve the strategic indicators of agricultural development of the Republic of Uzbekistan for 2020-2030 has been developed. Scientific proposals and practical recommendations aimed at improving the regional food market are given.
THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY IN THE DEVELOPMENT OF E-COMMERCE IN UZBEKISTAN
This article investigates the development of e-commerce in Uzbekistan through the lens of artificial intelligence (AI) technologies. The study analyzes the scientific foundations and the growing importance of AI in online trade, focusing on its application in data processing, consumer behavior analysis, sales process optimization, and personalized marketing strategies. Using empirical data from Uzbek e-commerce platforms, the research examines AI-driven demand forecasting, dynamic pricing policies, automation, and customer service enhancement. The results show that the implementation of AI technologies significantly improves sales efficiency, customer satisfaction, and decision-making accuracy. The article also identifies key challenges such as data quality issues, shortage of qualified personnel, high implementation costs, and insufficient legal and ethical regulations. Based on these findings, the study outlines the stages, problems, and prospects of AI integration in Uzbekistan’s e-commerce system.
TRANSFORMATION OF EDUCATIONAL PROCESS MANAGEMENT IN HIGHER AND VOCATIONAL EDUCATION BASED ON DIGITAL PLATFORMS AND SMART TECHNOLOGIES
This article examines the transformation of educational process management in higher and vocational education based on digital platforms and smart technologies. The rapid development of digital transformation and smart technological solutions has created new opportunities for improving academic management, enhancing teaching efficiency, and optimizing educational processes. The study analyzes modern approaches to the integration of digital platforms, learning management systems, artificial intelligence, and educational data analytics into academic administration. The research demonstrates that smart technologies contribute to the automation of educational management, support data-driven decision-making, and enable personalized learning pathways. The article identifies key directions for the development of smart digital educational ecosystems aimed at improving the quality of educational services and strengthening professional competencies required in the digital economy. The findings provide practical recommendations for implementing digital platforms and smart technologies in educational process management.
DEVELOPMENT OF DIGITAL PEDAGOGICAL MODELS FOR MANAGING EDUCATIONAL ACTIVITIES IN HIGHER AND PROFESSIONAL EDUCATION SYSTEMS
This article examines the development of digital pedagogical models for managing educational activities in higher and professional education systems. In the context of rapid digital transformation, educational institutions face the need to modernize teaching methodologies, improve academic management mechanisms, and enhance the quality of professional training. The study analyzes modern approaches to the integration of digital learning platforms, learning management systems, artificial intelligence technologies, and educational data analytics into pedagogical practice. The research substantiates that digital pedagogical models contribute to the automation of educational management, personalization of learning processes, and improvement of student engagement and academic performance. The article also identifies key directions for designing and implementing digital pedagogical models aimed at improving the effectiveness of educational activities and supporting the development of digital competencies among educators and students. The findings of the study can be applied to enhance educational management strategies and support the sustainable development of digital education systems.
DIGITAL ECONOMY STANDARDS IN DISTANCE EDUCATION DEVELOPMENT: CURRENT STATE AND TRENDS
The rapid expansion of the digital economy has fundamentally transformed the structure and organization of distance education worldwide. The increasing role of international standards in digital infrastructure, data governance, interoperability, cybersecurity, and quality assurance has created new regulatory and methodological frameworks for the development of online and blended learning systems. In this context, a systematic analysis of global digital economy standards and their influence on distance education becomes essential for understanding current transformation processes and identifying emerging development trajectories. This review article examines the current state and evolving trends of distance education development through the prism of global digital economy standards. The study synthesizes international regulatory frameworks, policy documents, and academic research related to digital education, EdTech platforms, learning management systems, and cross-border educational services. Particular attention is paid to standards formulated by international organizations such as the OECD, UNESCO, ISO, the European Union, and the World Bank, which shape institutional models, technological architectures, and quality assurance mechanisms in digital learning environments. The analysis identifies key standardization domains, including digital infrastructure, data protection, interoperability of educational platforms, digital credentials, and competency frameworks for the digital workforce. The review further highlights emerging trends such as platformization of education, internationalization of online programs, integration of artificial intelligence and learning analytics, and the growing role of transnational regulatory coordination. The findings reveal that alignment with global digital economy standards plays a decisive role in enhancing the scalability, quality, and international compatibility of distance education systems.
IMPROVING THE TEACHING METHODOLOGY OF MEDICAL INFORMATION TECHNOLOGIES BASED ON DIGITAL EDUCATIONAL RESOURCES
This article examines the improvement of teaching methodology in the field of medical information technologies through the systematic use of digital educational resources. The rapid digital transformation of healthcare and higher education requires the modernization of instructional approaches aimed at developing students’ professional competencies in medical informatics, health information systems, and digital healthcare technologies. The study analyzes the pedagogical potential of digital learning platforms, interactive simulators, virtual laboratories, and multimedia content in enhancing the effectiveness of teaching and learning processes. The research is based on a mixed-methods approach that combines comparative analysis of traditional and digital teaching models, expert evaluation of instructional materials, and assessment of students’ learning outcomes. Special attention is given to the integration of learning management systems, adaptive educational technologies, and competency-based instructional design in medical IT education. The results demonstrate that the structured application of digital educational resources significantly improves students’ motivation, cognitive engagement, and practical skill formation. The proposed methodological framework contributes to the development of a flexible and student-centered learning environment that meets the requirements of digital healthcare and modern medical education. The findings may be used in curriculum design, teacher training, and the development of digital learning strategies for medical and technical universities
DIRECTIONS FOR DEVELOPING ENTREPRENEURSHIP AS THE ECONOMIC BASIS OF UZBEKISTAN
The reforms being carried out to expand and develop entrepreneurial activity, one of the main pillars of the economic growth of the Republic of Uzbekistan, and their results are presented, and the problems arising during their activity are highlighted.
DIRECTIONS FOR THE APPLICATION OF TAX BENEFITS TO BUSINESS ENTITIES
The article discusses modern mechanisms for applying tax incentives to business entities in the Uzbek economy, their impact on economic development, and the effectiveness of stimulating entrepreneurial activity through incentives. It also studies and analyzes practical aspects of increasing employment, attracting investments, reducing production costs , and simplifying tax administration using digital services.