The contemporary global economic order is undergoing a fundamental transformation, moving beyond traditional narratives of deglobalisation towards a more complex phenomenon of strategic re-globalisation. This paper challenges conventional interpretations of retreating global integration by demonstrating how nations are actively restructuring their economic relationships through geopolitical realignment, technological competition, and security-conscious policymaking. Contrary to surface-level indicators — such as trade barriers and supply chain disruptions — a deeper analysis reveals a sophisticated recalibration, wherein states maintain global connections while asserting greater control over critical sectors. Three distinct pathways emerge for this re-globalised future: the probable development of rival technological ecosystems within fragmented techno-blocs; the high-risk potential of complete economic bifurcation in a Cold War 2.0 scenario; and the more optimistic possibility of pragmatic multipolarity maintaining selective cooperation. These trajectories are shaped by intensifying US – China rivalry, the growing assertiveness of Global South economies, and rapid advancements in artificial intelligence and sustainable technologies. The study concludes that this new era of globalisation will retain global interconnectedness while exhibiting reduced Western dominance, increased policy unpredictability, and a diminished adherence to liberal economic principles. Practical recommendations are offered for navigating this complex landscape, emphasising the need for adaptable governance structures capable of reconciling national security imperatives with the benefits of international economic engagement.

The dynamic interplay between major banks and Big Tech companies within financial markets is increasingly becoming a focus of close scrutiny, not only for economists and regulators but also for the wider public on a global scale. Leveraging their substantial technological, customer, and innovative potential, Big Tech firms are actively expanding their footprint in the financial services sphere by offering digital solutions that are transforming traditional service models. This trend not only intensifies competition among key market players but also catalyses the search for effective models of mutually beneficial partnership. Within this context, the study of the fundamental principles underpinning relationships between systemically important banks and technology giants is gaining particular academic and practical significance. An analysis of current practices helps to identify inherent tensions and areas of mutual interest between the parties. This is paramount for defining prospective collaborative frameworks, assessing potential benefits, and evaluating systemic risks within the new economic reality. Consequently, a comprehensive examination of the contemporary challenges and opportunities presented by this alliance will enable the forecasting of its participants’ likely trajectories within both Russian and global financial markets.

This study analyses the economic structures and resource dependencies of Botswana, Chile, the Democratic Republic of Congo (DRC), Kenya, and Zambia by examining key indicators, including adjusted savings from mineral extraction, manufacturing value added, renewable energy consumption, and mineral rents. Using World Bank data from 1994 to 2021, the study applies descriptive statistics, correlation analysis, one-way ANOVA, and regression analysis to assess differences in resource dependence, industrialisation, and sustainability. The results show that Chile and Zambia have high mineral rents and adjusted savings, reflecting resource dependence, while Kenya and Botswana have minimal dependence on mineral wealth. The Democratic Republic of Congo leads in renewable energy consumption, followed by Zambia, whereas Botswana and Chile lag significantly. The findings highlight the need to balance resource extraction with sustainability, as mineral rents are positively correlated with adjusted savings but negatively correlated with renewable energy consumption. Furthermore, the positive relationship between manufacturing and renewable energy consumption suggests that industrial growth can be aligned with sustainability if appropriate policies are in place. The study also underscores key trends, revealing that whilst higher mineral rents support economic savings, they may discourage investment in renewable energy. Manufacturing value added varies widely across countries, with Chile and the Democratic Republic of Congo possessing stronger industrial bases than Botswana and Zambia. These findings underscore the need for policies that promote industrial diversification, sustainable resource management, and investment in renewable energy. Chile and Zambia should reinvest their mineral wealth in renewable energy, Botswana and Kenya need to accelerate their energy transition, and the DRC should modernise its energy infrastructure to support industrial expansion.

This article elucidates the key aspects of business analytics, encompassing the integration of data and applications, the processes of transforming information into actionable insights, and a variety of analytical processing methods. It defines the distinctive characteristics of the Big Data concept and large-scale data analysis technologies. A systematic classification and comparative evaluation of contemporary approaches to data mining is conducted, with a focus on their application for solving managerial tasks and developing business strategies. The general architecture for corporate digital information processing is outlined. Particular attention is paid to the functional capabilities of predictive analytics and forecasting systems. An overview of leading solutions in the fields of analytics and machine learning within the IT market is presented, along with the prospects for their integration into the digital economy. Foundational approaches to model training in artificial intelligence systems and their potential applications across various business domains are considered. The specifics of implementing machine learning algorithms as integral components of artificial intelligence systems are examined, analysing their advantages and limitations, while also assessing the potential for leveraging these technologies in modern management. Promising directions and functional capabilities for the development of artificial intelligence in corporate solutions are enumerated, such as agent-based systems, automated machine learning, and causal artificial intelligence.

Sino-Uzbek cooperation constitutes a pivotal element in Central Asia’s geopolitical and economic dynamics. This partnership has evolved far beyond mere trade, expanding into critical spheres such as energy, transport logistics, the agro-industrial complex, security, and educational exchanges. The contemporary phase of the strategic partnership between the two nations is characterised by a focus on economic pragmatism and the pursuit of geopolitical equilibrium. The Chinese model of investment, which prioritises the implementation of “short and fast” initiatives across various regions and sectors, demonstrates a growing adaptability in Beijing’s approach and a reciprocal pragmatism from Tashkent, which is keen to diversify its national economy. However, beneath this outward dynamism lies a fundamental challenge for Uzbekistan: the necessity to balance the evident economic benefits against the risks of increasing dependency. Matters pertaining to China’s position on the Uyghur issue remain an integral component of the bilateral dialogue. The relationship has now matured into a multifaceted interdependence: for Uzbekistan, it represents the primary external resource for modernisation, while for China, it is a crucial element for consolidating its influence in the region. Consequently, Tashkent’s capacity to skilfully manage this dialogue, maximising advantages while mitigating risks, will shape not only its own future but also the contours of Central Asia’s geoeconomic landscape as a whole.

This study is dedicated to the systematisation of conceptual approaches to managing inter-organisational business processes (IOBPs) within industrial enterprises. The theoretical analysis conducted confirms the limitations of applying existing coordination models, such as supply chain management, relational management, and transaction cost theory, in isolation. The primary outcome of this work is the development of an integrated conceptual framework that unites three interconnected dimensions: the structural-technological, which implies system compatibility and data standards; the process-organisational, encompassing procedures, responsibility allocation, and key performance indicators (KPIs); and the relational-behavioural, covering trust, shared norms, and conflict resolution places particular emphasis on the dialectical interdependence of these aspects and their critical role in the context of the industrial sector’s specific characteristics, which include capital intensity, lengthy production cycles, and high reliability requirements. Consequently, an imbalance in the development of any single dimension inevitably leads to a reduction in the overall effectiveness of collaboration. The practical significance of this research lies in its assertion that the management of IOBPs must be recognised as a strategic competence, which necessitates the targeted development of network thinking, diagnostic assessment of the balance between coordination aspects, and the implementation of adaptive mechanisms. Promising avenues for further research have been identified, including the development of maturity assessment methodologies for governance, the analysis of benefit distribution within asymmetric partnerships, and the study of the impact of digital platforms.

This article provides a comprehensive analysis of trade and economic relations between the Russian Federation and the People’s Republic of China, with a particular focus on aspects of customs cooperation. The study examines the current state of bilateral collaboration, identifying its key trends, existing barriers, and prospective areas for development. The analysis demonstrates that modernising customs regulation mechanisms is a critical prerequisite for intensifying trade turnover and eliminating existing barriers. The significant economic potential of both nations, combined with the complementarity of their economic systems, creates a solid foundation for mitigating structural imbalances, thereby opening up broad prospects for a deepened partnership. The geographical proximity of Russia and China constitutes a key strategic advantage, facilitating the development of new logistical and trade routes, as well as bolstering integration processes across the Eurasian region. The authors substantiate the priority of developing strategies to deepen customs integration between the two countries in the context of global economic challenges and geopolitical turbulence. The article further puts forward a compelling case that optimising customs procedures can not only stimulate the growth of mutual trade but also enhance the efficiency of logistics chains, reduce temporal and financial costs for businesses, and strengthen the positions of Russia and China within the global trading system.