International Conference on Business & Management
International Conference on Business & Management (ICBM) is hosted annually online from London, UK. The conference focuses on Economics, Management, Business, and Finance. Proceedings are indexed in Google Scholar, Zenodo, OpenAIRE, Open Access. Articles are accepted in English.
By submitting a paper to the conference organized by Academic Publishing House, the author(s) agree to the following license terms and conditions: 1. Copyright and Licensing The author(s) retain the copyright of their article. The author(s) grant Academic Publishing House a non-exclusive license to publish, distribute, and archive the submitted material in both electronic and print formats. The work will be published under the Creative Commons Attribution (CC BY 4.0) license, allowing others to share and adapt the material for any purpose, provided proper credit is given to the original author(s). 2. Author’s Responsibilities The author(s) guarantee that the submitted work is original, does not infringe any existing copyrights, and has not been published or submitted elsewhere. The author(s) confirm that all co-authors have approved the final version of the manuscript and agree with its submission and publication. The author(s) are fully responsible for the accuracy of the data, citations, and references provided in the article. 3. Publisher’s Rights Academic Publishing House reserves the right to edit, format, and make minor grammatical or layout corrections to the paper without altering its core content. The publisher has the right to include the article in indexing databases, archives, and repositories such as Google Scholar, Zenodo, OpenAIRE, and other partner platforms. The publisher may promote the paper through its website and official social media channels. 4. Open Access Policy All conference papers are published as open access, ensuring free and permanent online access to the full text of all articles immediately upon publication. 5. Withdrawal and Retraction If ethical misconduct, plagiarism, or data manipulation is detected, Academic Publishing House reserves the right to withdraw or retract the publication at any stage. 6. Acceptance of Terms Submission of a manuscript to the conference implies that the author(s) have read, understood, and accepted these License Terms.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN CROSS-BORDER TRADE AND SUPPLY CHAIN MANAGEMENT
The integration of artificial intelligence technologies in supply chain management is becoming increasingly important for modern business operations. Artificial intelligence is being used to improve demand forecasting, optimize capacity, and streamline logistics processes. At the same time, it enables proactive monitoring and management of potential risks through real-time data analysis. Process automation minimizes human-related problems and contributes to operational efficiency, resulting in a more agile, responsive, and mobile supply chain management system.
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CONTEMPORARY TRENDS IN THE MODERNIZATION OF THE JUDICIAL AND LEGAL SYSTEM IN UZBEKISTAN
This thesis examines the process of modernization of the judicial and legal system in Uzbekistan from a historical and legal perspective. The study evaluates reforms aimed at strengthening judicial independence, ensuring citizens’ right to judicial protection, digitalizing judicial services, and enhancing the transparency of justice based on official statistical data. Furthermore, it summarizes the practical outcomes of recent transformations in the judicial system using official indicators for 2025.
INTEGRATION OF CLINICAL, RADIOLOGICAL, AND LABORATORY BIOMARKERS FOR PREOPERATIVE RESECTABILITY PREDICTION
Advanced epithelial ovarian cancer remains one of the leading causes of cancer-related mortality among women worldwide. The cornerstone of treatment consists of maximal cytoreductive surgery followed by platinum-based chemotherapy. Numerous studies have consistently demonstrated that complete macroscopic tumor resection (R0 cytoreduction) is the strongest independent prognostic factor influencing both progression-free survival and overall survival.
SOCIO-ECONOMIC DETERMINANTS OF HUMAN TRAFFICKING: THE “DEBT BONDAGE” PHENOMENON AND HIGH PROFITABILITY OF THE CRIME
This thesis comprehensively analyzes the socio-economic determinants of human trafficking crimes, in particular the processes of global economic inequality and labor migration.
“FLIPPED CLASSROOM” TECHNOLOGY AS AN IMPORTANT FACTOR IN DEVELOPING STUDENTS’ COMMUNICATIVE COMPETENCE IN ENGLISH LANGUAGE CLASSES
This article examines the pedagogical potential of the “Flipped Classroom” technology in developing students’ communicative competence in English language classes. In this model, students independently study theoretical materials, video lessons, presentations, podcasts, and electronic resources before class, while classroom time is devoted to active communication, discussions, debates, role-plays, problem-solving tasks, and collaborative projects. The approach creates opportunities for integrating listening, speaking, reading, and writing skills in authentic communicative situations. The article also highlights such pedagogical factors as learner-centred instruction, differentiated learning, students’ autonomy and responsibility, collaborative activity, teacher facilitation, continuous feedback, and reflective assessment. The effective integration of pre-class digital preparation with interactive classroom activities increases students’ motivation, participation, confidence, and ability to use English appropriately in academic, social, and professional contexts. Therefore, “Flipped Classroom” technology is considered an important methodological tool for developing students’ linguistic, sociolinguistic, pragmatic, strategic, and discourse competencies.
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ECONOMIC EFFICIENCY
This article examines the impact of artificial intelligence (AI) on economic efficiency and its growing role in the development of modern economic systems. The study analyzes the ways in which AI technologies contribute to increasing labor productivity, optimizing production processes, reducing costs, improving decision-making, and enhancing the competitiveness of enterprises and national economies. Particular attention is paid to the potential of artificial intelligence in automating routine operations, analyzing large volumes of data, forecasting economic trends, and improving the efficiency of resource allocation. The article also considers the challenges associated with the widespread implementation of AI, including technological costs, labor market transformation, data security, and the need for highly qualified specialists.
BRIDGING THE DOMAIN GAP: ALIGNING BUSINESS UNDERSTANDING AND MACHINE LEARNING WITHIN THE FINDATA-CONTEXT FRAMEWORK (FDCF) FOR FINANCIAL ACCOUNTING ANALYTICS
Modern corporate infrastructures generate massive streams of financial transactions, making data science an essential paradigm for modern corporate finance and accounting. However, a major issue persists: highly sophisticated machine learning models often fail in production environments because they lack domain-specific business understanding. This research addresses this core vulnerability by examining the critical intersection of financial accounting principles (such as accrual systems, revenue recognition schedules, and GAAP/IFRS standards) with advanced machine learning methods (such as unsupervised anomaly detection, graph analytics, and Explainable AI frameworks). We introduce a formal mathematical and structural pipeline called the FinData-Context Framework (FDCF). This framework builds accounting rules directly into the machine learning engineering process by adding an “Accounting Invariant Penalty” to traditional loss functions and using SHAP values for post-hoc explanation. Our empirical testing shows that adding business context to feature engineering layers reduces false-positive rates in automated audits by up to 35%, while boosting the reliability of forecasting models. This study demonstrates that cross-disciplinary expertise is vital for turning automated data systems into valuable financial intelligence.
OPTIMISING FOOD PRODUCT IMPORTS THROUGH THE CUSTOMS PROCESSING REGIME
This paper analyses the economic significance of the customs processing regime, its role in optimising food product imports, and the current practical challenges in its application. Based on the analysis, actionable proposals are developed to eliminate these obstacles and enhance the regime's effectiveness.
METHODOLOGY OF DEVELOPING SPEAKING SKILLS IN ENGLISH FOR NON-PHILOLOGICAL HIGHER EDUCATION
This article highlights the significance and role of developing English speaking skills among students of non-philological higher education institutions. The study analyzes the drawbacks of current traditional teaching methods and demonstrates the advantages of the communicative approach in preparing students for fluent communication. Furthermore, practical recommendations for overcoming language barriers in students and forming professionally-oriented speech, as well as the effectiveness of the case-study method, are substantiated.
ANALYSIS OF FACTORS AFFECTING THE QUALITY OF UTILITY SERVICES IN APARTMENT BUILDINGS
this article analyses the factors influencing the quality of communal services in multi-apartment buildings under Uzbekistan's conditions.
HISTORY OF FINE-STAPLE COTTON BREEDING AND SEED BREEDING IN THE UZBEK SSR (1930–1970)
The article provides a scientific-institutional and economic analysis of the history of the formation and development of fine-staple cotton selection and seed production in the Uzbek SSR in the 1930–1970s. The study highlights the fundamental role of the Research Institute of Cotton Selection and Seed Breeding named after G.S. Zaitsev, the scientific achievements of Uzbek selection scientists, and the issues of regional specialization in cotton cultivation. The paper analyzes the dynamics of creation and integration into production fields of the "S-6030" cotton variety, which possessed high technological indicators and genetic resistance to fusarium and verticillium wilt diseases, considered a revolution in agrarian science of its time. Furthermore, the economic efficiency indicators achieved through the integration of fine-staple cotton into the republican textile industry, its price coefficient, and exports to socialist countries are revealed.
INTERACTIVE METHODS IN TEACHING BIOPHYSICS IN MEDICAL EDUCATIONAL INSTITUTIONS
The article examines the features of teaching the subject of biophysics in medical universities and institutes using interactive forms and methods of teaching as the most relevant at the current stage of teaching. Some forms are considered and teaching methods are provided for their practical implementation in the educational process.
THEORETICAL AND MAIN DIRECTIONS OF DEVELOPMENT AND MANAGEMENT OF INNOVATIVE SYSTEMS IN THE AGRARIAN SECTOR
In recent decades, innovative development has become a key growth factor in the global economy. The traditional resource-based economic model is being replaced by a model based on knowledge, technology, and innovation. This process has also had a direct impact on the agricultural sector, making the modernization of the agricultural sector an urgent task..
A MODEL FOR INCREASING THE COMPETITIVENESS OF SMALL BUSINESSES AND A MECHANISM FOR ITS PRACTICAL APPLICATION
In the context of an increasingly competitive environment, the sustainable development of small business entities is directly dependent on their level of competitiveness. Since small business entities operate in conditions of resource constraints, technological changes and market uncertainties, it is urgent for them to develop mechanisms for effectively managing their capabilities and gaining strategic advantages. There is a need to form a scientifically based model aimed at increasing the competitiveness of small business entities. This model serves as a methodological basis for identifying the system of factors affecting competition, assessing them, identifying priority areas and making strategic decisions. The model creates an opportunity to correctly direct the potential of small business entities, optimally allocate resources and harmonize innovative approaches.
REGIONAL TOURISM INFRASTRUCTURE AND SERVICE QUALITY ANALYSIS
This article examines the spatial distribution of tourism infrastructure and service quality across different regions, with a focus on identifying structural disparities and development gaps that constrain the competitiveness of regional tourism economies. The results indicate that infrastructure imbalances between core urban tourism zones and peripheral regions remain a persistent challenge, and that service quality metrics are closely correlated with infrastructure density, institutional capacity, and investment levels.
LIMITS AND NECESSITY OF STATE INTERVENTION IN A MARKET ECONOMY
This thesis analyzes the theoretical foundations of state intervention in a market economy, its necessity and the issues of determining its optimal limits based on a comprehensive approach. The study deeply studies the self-regulation capabilities of the market mechanism, as well as its imperfections - such factors as monopolization, externalities, social inequality and information asymmetry.
EXPERIENCE OF STATE REGULATION OF THE ECONOMY IN FOREIGN COUNTRIES AND ITS IMPACT ON THE DEVELOPMENT OF THE COUNTRY
This scientific thesis provides a comprehensive analysis of the theoretical and practical aspects of the mechanisms of state regulation of the economy in foreign countries. The relevance of the research is explained by the need to determine the optimal level of state intervention in ensuring the stability of the national economy, maintaining macroeconomic balance and stimulating economic growth in the context of globalization.
INVESTMENT SOURCE DIVERSIFICATION AND ECONOMIC PERFORMANCE IN HORTICULTURAL FARMS: EVIDENCE FROM LATENT CLASS AND FACTOR ANALYSIS IN UZBEKISTAN
this study examines the relationship between investment source diversification and the economic performance of horticultural farms in Uzbekistan. Using survey data from 280 producers, the research applies Factor Analysis (FA) to construct an Investment Diversification Index and Latent Class Analysis (LCA) to identify heterogeneous investment groups. The findings reveal significant differences in income and profitability across investment classes, indicating that diversified financing structures enhance investment capacity, technological modernization, and farm competitiveness. The results highlight the strategic importance of financial diversification for sustainable development in the horticulture sector.
THE INSTITUTIONAL ROLE OF THE PRIVATE SECTOR IN THE HEALTHCARE MARKET: CLINICS, LABORATORIES, PHARMACEUTICAL AND DIAGNOSTIC SERVICES
This thesis examines the institutional role of the private sector in Uzbekistan’s healthcare services market. The analysis is conducted across private clinics and hospitals, outpatient and diagnostic services, medical laboratories, and the pharmaceutical value chain (production, wholesale distribution, and retail trade). The study employs a methodology based on regulatory and legal analysis (healthcare legislation and public-private partnerships), market structure analysis (competition and concentration factors), and trend analysis using national statistical data. The findings demonstrate that the private sector contributes not only to increasing service capacity and healthcare delivery volumes but also to improving quality standards, fostering innovation in diagnostic and laboratory technologies, and enhancing financial sustainability. At the same time, the study identifies institutional gaps related to licensing, accreditation, price transparency, and data integration.
DIGITAL FILTERING AND SIGNAL PROCESSING IN ELECTRIC POWER SYSTEMS FOR FREQUENCY AND LOAD MONITORING
The reliable operation of modern electric power systems depends on the accurate measurement and processing of electrical signals. Current, voltage, and frequency signals are often affected by noise, harmonic distortions, switching transients, and fluctuations caused by renewable energy sources. These disturbances may reduce the accuracy of monitoring, protection, and control systems, leading to incorrect operational decisions. Therefore, digital filtering and signal processing techniques play a crucial role in improving signal quality and enhancing the performance of power system protection and automation devices. This study investigates the application of digital filtering methods for processing electrical signals in power systems. A Moving Average Filter (MAF) is employed to reduce noise and smooth measured signals, while RMS calculation techniques are used to determine effective current and voltage values. Mathematical models of filtering and RMS computation are developed and implemented in MATLAB/Simulink. Practical calculations and simulation results are presented to evaluate the effectiveness of the proposed methodology.
INTERNATIONAL ECONOMIC ORGANIZATIONS AND THEIR FUNCTIONS
This thesis scientifically examines the factors behind the emergence of international economic organizations, their role within the global economic system, and their core functions. It analyzes the significance of international economic organizations formed as a result of the development of international economic relations, the expansion of economic integration processes, and the strengthening of interstate cooperation. In addition, the activities of the United Nations (UN), United Nations Conference on Trade and Development (UNCTAD), Organization of the Petroleum Exporting Countries (OPEC), and other international organizations are briefly reviewed, while the central role of the World Trade Organization (WTO) in the international trading system is highlighted. Furthermore, Uzbekistan’s accession process to the WTO, its relationship with economic reforms, and its prospective economic outcomes are presented through an analytical approach.
PRODUCT LIFE CYCLE MANAGEMENT AS A KEY FACTOR OF “GREEN” MANAGEMENT IN THE CONSTRUCTION INDUSTRY
In the modern economy, the competitiveness of industrial enterprises is determined not only by production volume, but also by their environmental responsibility and resource efficiency. Although the concept of “green” management is interpreted differently in economic literature, it is fundamentally based on the synergy between economic benefit and environmental sustainability.
INNOVATIVE DEVELOPMENT AND ECOLOGICAL EFFICIENCY: INTERNATIONAL APPROACHES TO EVALUATING ENTERPRISE ACTIVITIES
The growing global transition toward sustainable development has significantly increased the importance of integrating innovative development with ecological efficiency in enterprise management and evaluation systems. This study examines international approaches to assessing enterprise activities at the intersection of innovation performance and environmental sustainability. The research analyzes the evolution of theoretical perspectives on green innovation, from the traditional view of environmental responsibility as an additional economic burden to contemporary concepts emphasizing the potential compatibility of ecological efficiency and competitive advantage.
EXPANSION OF LOCAL BUDGET REVENUE BASE IN UZBEKISTAN
This article examines real estate taxation, its specific features, scholars who have conducted research in this area, the legal basis for real estate taxation, the proposed methodology for indexing cadastral value, approaches to cadastral valuation in real estate taxation, and the experience of foreign countries in establishing real estate tax rates.
STRATEGIC HUMAN RESOURCE MANAGEMENT AND ORGANIZATIONAL PERFORMANCE IN THE DIGITAL ERA
Strategic Human Resource Management (HRM) has become a critical factor in organizational success under conditions of globalization and digital transformation. This article examines the influence of modern HRM practices on organizational performance using international empirical evidence and contemporary management theories. The study applies the IMRAD structure and relies on secondary data obtained from international organizations, scientific journals, and HRM reports. The findings indicate that employee training, digital recruitment, performance management, and employee engagement significantly improve productivity and organizational competitiveness. Furthermore, digital technologies such as Artificial Intelligence (AI) and Human Resource Information Systems (HRIS) enhance decision-making efficiency and workforce management. The study concludes that organizations adopting strategic HRM systems achieve stronger innovation capacity, employee satisfaction, and sustainable development.
ASSESSMENT OF ORGANIZATIONAL AND ECONOMIC DETERMINANTS OF INNOVATION AND PRODUCTION EFFICIENCY IN NATIONAL MEAT LIVESTOCK SECTOR
The article analyzes the impact of organizational and economic factors on the innovative development of national beef cattle farming and their role in improving production efficiency. The study examines the production structure of livestock farms, the level of resource utilization, economic performance indicators, and regional characteristics. It also addresses the improvement of innovative approaches and management mechanisms in the development of beef cattle farming. The obtained results contribute to the development of scientifically grounded practical recommendations aimed at improving sector efficiency.
THE LINGUOPOETIC STRUCTURE OF HUMOR IN “SHUM BOLA” BY GAFUR GULAM
“Shum bola” by Gafur Gulam is considered one of the most significant examples of Uzbek children’s literature, in which humor functions not only as an aesthetic device but also as a fundamental constructive element of artistic thinking. In the work, comic effect is generated through different levels of language and operates as an integrated linguopoetic system. In particular, the interaction of lexical-semantic, syntactic, and discursive devices creates a complex artistic model of humor. Therefore, studying humor in “Shum bola” as a linguopoetic phenomenon makes it possible to reveal the pragmatic, stylistic, and cultural layers of the text.
ARTIFICIAL INTELLIGENCE AND THE ECONOMY: A PARTNERSHIP FOR THE FUTURE
Artificial intelligence, as a factor, is becoming a significant part of the economy. Artificial intelligence helps businesses operate more efficiently, make informed decisions, and generate fresh prospects for growth. Artificial intelligence assists businesses in becoming more efficient and innovative through the analysis of vast amounts of data. Artificial intelligence is also affecting the labour market. While some jobs are being replaced, others are being created. Artificial intelligence, therefore, presents a wide range of challenges. Nevertheless, this article examines the role of artificial intelligence in the economy, the benefits and risks associated with artificial intelligence, and the potential that artificial intelligence holds, particularly for developing countries such as Uzbekistan.
FACTORS OF ENTREPRENEURSHIP AND CRAFTSMANSHIP DEVELOPMENT IN THE MAHALLA`S
This article systematically analyzes the socio-economic and institutional factors affecting the development of entrepreneurship and handicraft activities in the makhallas of Fergana region. The study assesses regional employment, use of financial resources, infrastructure, state support mechanisms, and the role of local government institutions. As a result, comprehensive proposals and recommendations are developed to accelerate regional development.