Abstract: This article explores the role of intelligent analytics in project portfolio management, with a focus on its implementation in Kazakhstani companies. A comparative analysis of traditional and analytics-based approaches is presented, highlighting key differences in goal setting, data management, risk control, and performance evaluation. Special attention is paid to organizational prerequisites for successful integration of analytics, including structural transformation, development of data-oriented culture, and IT infrastructure integration. Practical recommendations are formulated based on real cases and visual models, aiming to support companies transitioning to data-driven project governance.

Abstract: This article explores the integration of digital marketing and advertising tools into corporate reputation management within the context of digital transformation. The study examines the evolution from traditional to algorithm-driven marketing practices, emphasizing their impact on stakeholder engagement, crisis response, and brand trust. Drawing on examples from Romanian companies and international practices, it analyzes the strategic alignment between digital communication channels and reputation governance functions. The paper identifies key performance indicators (KPIs), such as sentiment analysis and brand trust index, as essential components of data-driven reputation strategies. Through comparative tables and visual models, the article offers insights into how organizations can achieve reputational resilience by embedding marketing technologies into their decision-making processes.

Abstract: This article explores the role of green finance strategies in shaping corporate investment decisions in the context of growing environmental and regulatory pressures. It analyzes the integration of ESG (Environmental, Social, Governance) criteria into financial planning, the use of green bonds and sustainable instruments, and the evolving risk evaluation frameworks associated with green investments. Drawing on European regulatory models and corporate case examples, the study highlights the strategic relevance of environmental impact assessments and digital tools in enhancing investment resilience. The article includes conceptual diagrams and comparative data to outline the structural changes in capital allocation processes under the influence of green finance.

Abstract: This article explores the integration of resilience engineering into strategic operations management, focusing on the increasing importance of adaptability, robustness, and learning in volatile business environments. Drawing from cross-sectoral evidence, the paper contrasts traditional risk-centric models with resilience-oriented frameworks that prioritize system elasticity, real-time responsiveness, and autonomous decision-making. Through detailed tables and a graphical typology of resilience strategies, the study examines how organizations across manufacturing, logistics, healthcare, and information and communication technology sectors operationalize resilience dimensions such as modularity, predictive analytics, and procedural agility. The findings underscore the need for sector-specific, metrics-based approaches that embed resilience into core operational systems.

Abstract: This article explores the application of digital twin (DT) technologies in macroeconomic modeling and policy forecasting. It analyzes the architectural principles, functional capabilities, and sector-specific integration of DTs, contrasting them with traditional economic modeling approaches. Through illustrative models and scenario-based frameworks, the study highlights the ability of digital twins to enhance real-time decision-making, simulate complex policy interventions, and foster economic resilience. It also identifies key challenges including data heterogeneity, algorithmic transparency, and governance complexity. The article concludes by positioning DTs as transformative but complementary tools in modern macroeconomic management.

Abstract: This article explores how the platform economy fundamentally reshapes business process design across industries. Unlike traditional hierarchical models, platform-based architectures enable decentralized coordination, real-time adaptability, and user co-production of value. The study examines architectural transitions, feedback dynamics, and innovation mechanisms enabled by digital platforms. Through diagrams, comparative tables, and conceptual analysis, it identifies key distinctions in control structures, data usage, scalability, and process agility. The article concludes that platformization transforms business operations into modular, ecosystem-driven systems requiring new governance frameworks and performance metrics.

Abstract: The proliferation of generative artificial intelligence (GenAI) across organizational workflows and decision environments has introduced new categories of behavioral risk. Unlike traditional automation tools, GenAI generates content and recommendations that directly influence human perception, cognition, and judgment. This article explores the amplification of behavioral biases–such as automation bias, confirmation bias, and anchoring–in AI-mediated decision-making processes. Through a multidisciplinary lens, the study analyzes human-AI interaction risks, organizational vulnerabilities, and cultural factors that exacerbate behavioral distortions. A multilayered risk mitigation framework is proposed, integrating technical, procedural, and behavioral safeguards. The findings highlight the urgent need for adaptive governance mechanisms, explainable AI design, and AI literacy initiatives to ensure responsible and resilient deployment of GenAI technologies in high-stakes contexts.

Abstract: This article explores the theoretical and practical aspects of algorithmic marketing (AM) as a systemic tool for personalizing customer experience in the context of the digital economy. It analyzes the key components of AM, its architectural structure, and the types of algorithms employed. Special attention is given to the theoretical classification of personalization levels and the economic functions of architectural layers. The study concludes that AM shapes a new paradigm of marketing management driven by data-informed, high-precision communication with consumers. The importance of organizational transformation for the successful implementation of AM is emphasized.

Abstract: This article explores the role of ESG (Environmental, Social, and Governance) reporting standards as instruments for strategic business alignment. It analyzes how ESG frameworks contribute to organizational transformation, enhance managerial control, and facilitate the integration of sustainability objectives into core operations. The study presents conceptual models illustrating the mechanisms of strategic alignment, maturity levels of ESG integration, and the role of ESG indicators in corporate control systems. It also addresses institutional challenges and cultural prerequisites for effective ESG implementation. The findings emphasize the potential of ESG standards to create long-term value when embedded across governance structures and decision-making processes.

Abstract: This article explores the quantitative integration of human capital into corporate financial models, addressing both theoretical foundations and applied practices. As the shift toward knowledge-based economies accelerates, the strategic relevance of human capital intensifies, yet remains underrepresented in valuation frameworks. The paper proposes a typology of human capital indicators aligned with financial logic and examines modeling approaches such as adjusted DCF, EVA, and ESG-integrated scoring. It also reviews key data categories and KPIs commonly used in organizational contexts, highlighting challenges in data availability, standardization, and contextual interpretation. By embedding workforce metrics into financial planning, companies can enhance transparency, forecasting accuracy, and strategic alignment. The study concludes that quantitative human capital evaluation is not merely a technical enhancement, but a paradigm shift essential for long-term competitiveness.