The rapid digitization of financial services has fundamentally reshaped how wealth management institutions conceptualize value creation, customer engagement, and advisory excellence. Among the most transformative developments is hyper-personalization, an advanced evolution of traditional personalization that leverages artificial intelligence, big data analytics, cloud-based customer relationship management systems, Internet of Things-driven customer intelligence, and scalable data architectures. This research article develops a comprehensive theoretical and analytical examination of hyper-personalization in wealth management, with particular emphasis on the Medallion Architecture as a foundational data strategy enabling secure, compliant, and adaptive personalization at scale. Drawing strictly from the provided scholarly and policy-oriented references, the article synthesizes interdisciplinary insights from financial technology, artificial intelligence governance, customer experience design, and regulatory studies. The study adopts a qualitative, theory-driven methodology, relying on systematic literature integration and conceptual analysis rather than empirical experimentation. Findings demonstrate that hyper-personalization emerges not merely as a technological capability but as an institutional transformation requiring coordinated data governance, human–AI collaboration, regulatory foresight, and ethical accountability. The results further reveal that cloud-based CRM systems and IoT-enabled intelligence act as critical intermediaries between raw data ecosystems and actionable advisory insights, while AI-driven analytics reconfigure trust, loyalty, and decision-making processes within wealth management relationships. The discussion critically examines systemic risks, including algorithmic opacity, data security vulnerabilities, and regulatory fragmentation, while also outlining future research trajectories focused on explainable AI, adaptive compliance frameworks, and augmented intelligence models. The article concludes that sustainable hyper-personalization in wealth management depends on balancing technological sophistication with human judgment, institutional transparency, and long-term societal trust.

The study focuses on examining the features of strategic financial leadership as a key mechanism for managing transnational capital-intensive projects in the energy and infrastructure sectors. The relevance of the topic is driven by the deepening global shortfall of infrastructure investment and the persistent tendency of budget overruns in megaprojects, which necessitates a rethinking of the traditional role of the financial function. The scientific novelty consists of the development of an integrated framework model (ISFL Framework) that unites cost optimization, risk management, and value creation through financial management tools. The paper conceptualizes the key roles of financial executives as strategic actors and systematizes advanced approaches to financial modeling and capital configuration. Particular emphasis is placed on interaction with international financial institutions and compliance with Environmental, Social, and Governance (ESG) standards. The study aims to demonstrate that proactive strategic financial leadership is a determining factor in the success of megaprojects rather than an auxiliary function. The methodological basis includes a systematic review of the scholarly literature, case studies, and comparative analysis drawing on publications from the Scopus/WoS databases, reports of leading consulting companies, and data from international organizations. The conclusion formulates findings on the critical significance of strategic financial leadership and proposes a practice-oriented model for its implementation. The materials of the article are addressed to chief financial officers, project managers, investors, and researchers in the field of project finance.

Entrepreneurial marketing has grown into a substantive research area over the past three decades, yet its conceptual boundaries remain fluid. Scholars continue to debate whether entrepreneurial marketing represents a break from traditional marketing theory or an adaptive extension of established frameworks. This paper offers a critical re-examination of the relationship between the two domains by synthesising influential conceptual contributions, interrogating their underlying assumptions, and considering the implications for small and medium enterprises. Drawing on literature that spans marketing theory, entrepreneurship research, and SME scholarship, the paper argues that entrepreneurial marketing should not be seen as a rejection of traditional marketing but as a contextually driven reconfiguration. Entrepreneurial firms operate in environments defined by uncertainty, resource scarcity, and opportunity-driven behaviour. These conditions encourage practices that diverge from classical marketing models not because those models are obsolete, but because they were originally designed around the logics and capacities of large, stable organisations. The analysis highlights three areas where entrepreneurial marketing departs most significantly from traditional theory: opportunity orientation, resource leveraging, and the central role of the entrepreneur. The paper concludes by proposing a reframed conceptual relationship between the two domains, suggesting that entrepreneurial marketing is best understood as a behavioural and strategic response to entrepreneurial conditions rather than a fundamentally different paradigm.

This paper examines technical analysis methods and trading strategies applied to gold (XAU/USD) markets. The study focuses on trend-oriented logic, market structure, and the confirmatory role of momentum indicators such as RSI and MACD. The empirical section is based on a real XAU/USD H1 trading case, incorporating actual entry and exit prices, a structured buy–take table, and profit calculations. The findings demonstrate that technical indicators are methodologically more reliable when used as confirmation tools within a structure-first framework rather than as standalone predictive instruments.

This article examines the critical role that emotional intelligence (EI) plays in enhancing professional communication. It outlines how EI facilitates effective interpersonal exchanges in the workplace by enabling individuals to recognize, understand, and manage emotions—the key to clear messaging, empathetic listening, and conflict resolution. The paper reviews foundational theoretical models (such as the Mayer-Salovey ability model and Goleman’s competency framework) and illustrates their relevance to leadership communication, conflict management, and team collaboration. Finally, it discusses evidence-based strategies—ranging from targeted training and coaching to practical skill-building exercises—that organizations can implement to foster an emotionally intelligent communication climate, thereby boosting productivity, engagement, and overall organizational performance.

The rapid convergence of blockchain technology with insurance systems, global supply chains, cybersecurity frameworks, and the broader digital economy has initiated a profound transformation in how risk is perceived, governed, distributed, and assumed. Traditionally, risk management across industries has relied on centralized authorities, probabilistic forecasting, post-event compensation mechanisms, and fragmented information architectures. However, as digital interdependencies deepen and systemic vulnerabilities proliferate, these conventional models increasingly reveal structural limitations. Drawing strictly on established academic literature, this research article develops a comprehensive, theory-driven exploration of blockchain-enabled risk transformation, positioning blockchain not merely as a technological tool but as an institutional innovation that reconfigures trust, coordination, transparency, and strategic leadership across economic systems.

The article synthesizes insights from insurance transformation research, supply chain transparency models, fuzzy decision-making methodologies, cybersecurity risk assessments, and digital economy governance studies to construct an integrated conceptual framework. Particular attention is given to the transition from risk prevention to risk assumption in insurance, the role of distributed ledgers in mitigating supply chain vulnerabilities, and the strategic implications of decentralized data governance in an era of digital fragmentation. Through descriptive and interpretive analysis, the study demonstrates how blockchain reshapes risk allocation mechanisms, enhances organizational resilience, and introduces new governance challenges related to cybersecurity, interoperability, and institutional readiness.

Methodologically, the research adopts a qualitative, theory-intensive synthesis approach grounded in comparative analysis, consensus-based reasoning, and structured evaluation frameworks derived from prior studies. The findings reveal that blockchain’s most transformative impact lies not in efficiency gains alone, but in its capacity to realign incentives, redistribute accountability, and embed trust directly into socio-technical infrastructures. At the same time, the discussion critically addresses limitations, including technological immaturity, regulatory asymmetries, and emergent cyber risks inherent to decentralized systems. The article concludes by outlining future research directions and policy implications, emphasizing the need for interdisciplinary governance models that balance innovation with systemic stability.

Credit-modular education and micro-credentials are reshaping higher education through flexibility, mobility and lifelong learning. Despite extensive international policy development, evidence shows persistent gaps between quality assurance policy prescriptions and institutional implementation. This scoping review synthesizes global evidence on the quality indicators used to monitor credit-modular education and micro-credentials. Using a structure–process–outcome framework, more than hundred sources were analyzed. The findings show a strong alignment in basic structural and process indicators but major divergence in outcome and equity indicators. Data silos, regulatory fragmentation, and limited analytical capacity drive this misalignment. This study proposes a harmonized core indicator model to improve policy coherence, institutional monitoring, and learner transparency.

The article analyzes the application of innovative technologies in inventory management within cotton-textile clusters (CTCs). The study highlights the significance of efficient inventory planning for ensuring uninterrupted production processes, optimizing costs, and meeting market demand. The work examines domestic and international experiences in inventory management, as well as the impact of digitalization, monitoring systems, and modern logistics on production efficiency. The research also presents forecasts under inertial and innovative development scenarios, emphasizing the potential growth of cotton yield, production volumes, and exports by 2030. The findings provide practical recommendations for enhancing the competitiveness of Uzbekistan’s cotton-textile industry through the introduction of advanced technologies in inventory and resource management.

Background:
The expansion of low-fare airlines has reshaped the European aviation market by emphasizing cost efficiency, simplified service, and broad geographic coverage. Wizz Air has shown resilience by preserving liquidity, sustaining an investment-grade financial profile, and expanding its route network during and after the pandemic, while travelers increasingly seek personalized, experience-based trips.

Methods:
This study evaluates Wizz Air’s readiness to introduce a new experiential travel product titled “Feeling Adventurous with Wizz Air.” The analysis combines horizontal and vertical examination of financial statements for 2021-2023, assessment of liquidity, leverage, and capital-efficiency indicators, benchmarking of regional market position, and a discounted cash-flow evaluation supported by data on tourism demand, festival attendance, and hospitality performance.

Results:
The findings indicate a strong liquidity position, gradual improvement in operating performance, and a favorable competitive profile in Central and Eastern Europe. The investment evaluation shows a positive net present value of 7.6 million United States dollars, an internal rate of return of 45 percent, and a payback period slightly above two years. Sensitivity testing confirms that the project remains financially viable even when projected revenues are substantially reduced.

The article substantiates an integrated model for applying land cadastre information as an evidence-based decision-making mechanism in the siting and evaluation of investment projects, incorporating legal, spatial, and economic components. Within the proposed model, the legal status of land parcels, registration validity, rights-restrictions-responsibilities, compliance with territorial planning documents, proximity to infrastructure, market value, and risk factors are consolidated into a unified algorithm. The research methodology is based on normative legal analysis, comprehensive due diligence of land parcels and investment objects using cadastral and registry data, spatial compatibility assessment through GIS-based criteria, and calibration of valuation results using market, income, and cost approaches in accordance with mass appraisal standards. As a result, an indicator system and risk registry were developed following the sequence “screening - legal verification - spatial compatibility - value/profitability - final decision,” accompanied by practical recommendations aimed at enhancing investment security.

The identification of materiality and risk is essential for auditors to use their practical skills and experience properly. It depends on how the auditor applies data and data analysis, as well as what tests and tests he performs. A proper explanation of importance and risk is essential to making calculations effective. The audit of the financial statements of the economic entity and its related financial information determines the reliability and accounting of the audited financial statements and related financial information. will be conducted by the auditing organization in order to determine compliance with the legislation (Law of the Republic of Uzbekistan "On audit activity" (new edition), 2021). During the audit process, the auditor should consider the reliability of the audit and the risk of the audit. The concepts of materiality and audit risk are interrelated, and the results of audits, which are subjectively determined by the auditor, are related to the reliability of the financial statements or, in fact, confirms that there are no material misstatements in the financial statements. In order to properly plan and organize the audit, the auditor needs to understand not only the assessment of audit risk, but also the relationship between its components and the level of materiality. The auditor's determination of materiality is a matter of professional judgment and the auditor's consideration of the financial information needs of users of financial statements depends on how you understand it" (International Standard on Auditing (IAS) 320 "Materiality in planning and performingan audit"). At the time of planning the purpose of the audit, the auditor should consider the standards used for the financial reporting of economic entities is a designation. Before starting the audit, the auditor needs to determine what type of client he is.