Economic diversification is a crucial response to the risks associated with resource dependence under conditions of global market volatility, geopolitical instability, and financial uncertainty. The study aims to identify the determinants of economic resilience and analyze diversification mechanisms in resource-dependent economies. The empirical analysis is based on panel regressions and descriptive indicators. The findings demonstrate that diversification based solely on expanding production sectors is insufficient without institutional quality, economic complexity, and digital governance. Evidence from Chile and Kazakhstan confirms the positive role of institutional reforms in structural modernization, while Saudi Arabia and Nigeria remain vulnerable due to persistent rentier economic structures. Integration into global value chains provides opportunities for technological development but also increases exposure to external risks. Investments in green energy and digital innovation are identified as key drivers of long-term sustainability. The study offers practical recommendations for designing national diversification strategies focused on resilience, competitiveness, and socio-economic stability.
The post-war recovery of Ukraine’s economy is accompanied by profound institutional transformations that require effective public governance mechanisms capable of ensuring infrastructure reconstruction, improving government effectiveness, and strengthening institutional trust. In this context, the digital transformation of the public sector is considered one of the key factors in building a resilient system of public governance, reinforcing institutional trust, and enhancing the effectiveness of public policy for infrastructure recovery. The purpose of this study is to identify and empirically assess the relationships between the digital maturity of public governance, institutional trust, government effectiveness, and the outcomes of post-war infrastructure recovery, as well as to determine the role of institutional trust and governance effectiveness as mediators in transforming digital governance into recovery-oriented economic dynamics. The empirical basis of the research consists of international institutional indicators, in particular the E-Government Development Index as a measure of the digital maturity of public administration, together with indicators of institutional trust and government effectiveness in Ukraine for the period 2018–2025. The research methodology combines a log-linear regression model with a dummy variable for the wartime period, mediation analysis, and structural equation modeling estimated using the maximum likelihood method. The goodness-of-fit of the model was evaluated using the Comparative Fit Index, Tucker–Lewis Index, root mean square error of approximation, and standardized root mean square residual. The results demonstrate a statistically significant positive effect of the digital maturity of public governance on institutional trust (β = 0.81; p < 0.05) and government effectiveness (β = 0.74; p < 0.05). It was found that institutional trust and government effectiveness act as mediating mechanisms through which the digital transformation of public administration influences the effectiveness of infrastructure recovery. The findings confirm that the development of digital instruments of public governance contributes to strengthening the institutional resilience of the state and creates the preconditions for effective post-war infrastructural revitalization.
Large freshwater mussels, also known as naiads, are important organisms that provide crucial ecosystem functions and services but are experiencing significant declines across Europe. To ensure effective conservation, it is essential to have a well-coordinated monitoring scheme. Therefore, we analyzed the functioning of naiad monitoring systems in 31 European countries. Monitoring of naiad populations is not coordinated in Europe, is largely unrelated to monitoring of water quality or host fish species, and receives irregular funding. Raw data on monitored species are typically unavailable, which hampers independent and/or large-scale analyses. The quality of EU monitoring schemes according to Article 17 of the Habitats Directive is poor for the most threatened species. To improve this, a new scheme is recommended with raw data stored in publicly available repositories to enable instant analysis and rapid, appropriate, evidence-based responses that can support the conservation of this imperilled taxon.
The digitalization of society and the rapid development of artificial intelligence are transforming students’ academic, social, and psychological experiences. Digital platforms, online learning environments, social media, AI assistants, learning analytics, and mental health chatbots create new opportunities for psychological support, early identification of distress, personalized guidance, and wider access to help. At the same time, they may intensify loneliness, digital fatigue, social comparison, academic pressure, privacy concerns, overreliance on automated advice, and unequal access to professional care. The objective of this article is to analyse the need for psychological support for students in the context of societal digitalization and AI development and to propose a human-centred model of AI-supported psychological care in higher education. The article applies a qualitative review methodology based on literature synthesis, document analysis, and conceptual modelling. The selection of sources prioritized academic relevance, methodological clarity, recency, citation value, and direct connection with the research topic. The analysis integrates research on student mental health, digital mental health interventions, AI-supported psychological support, chatbot-based care, academic stress, digital well-being, and ethical governance of AI in higher education. The article demonstrates that psychological support for students is becoming a strategic function of universities rather than an auxiliary student service. Statistical evidence shows high levels of depression, anxiety, suicidal ideation, loneliness, and help-seeking among college students. AI can support psychological care through early screening, triage, psychoeducation, self-help tools, personalized recommendations, crisis signposting, and continuous low-threshold support. However, AI-based tools cannot replace professional counselling because they raise risks related to accuracy, emotional safety, privacy, bias, crisis response, and dependence on automated interaction. Universities need integrated psychological support systems that combine professional counselling, peer support, digital mental health services, AI-assisted screening, ethical data governance, academic staff training, and crisis escalation protocols. AI should be used as a supervised support layer, not as a substitute for human psychological care. Future studies should empirically examine student trust in AI-supported mental health tools, compare the effectiveness of hybrid support models, analyse risks for vulnerable student groups, and evaluate long-term psychological outcomes of AI-assisted university care systems.
The research paper provides a comprehensive retrospective analysis of the evolution of theories of network organizations, from classical economic concepts of the 18th-19th centuries to modern models of the digital network economy. The purpose of the study is to systematize key theoretical approaches to understanding network organizations and to justify their significance for the development of accounting methodology in the context of network interactions among business entities. The research uses methods of historical and logical analysis, systematization and generalization of scientific concepts, and interdisciplinary synthesis. It is established that the development of theories of network organizations is the result of a long-term interdisciplinary synthesis of economic, sociological, and managerial scientific traditions. Five key stages of evolution are identified: classical economic theories that formed the fundamental dichotomy of the market and hierarchy; neoclassical and institutional theory of the firm, which substantiated the network as a hybrid form of coordination; sociological concepts that legitimized the role of trust and social ties in economic activity; management theories that operationalized the concept of a network organization for business practice; modern concepts of strategic alliances, clusters, and platform ecosystems. Specific consequences of the development of theories of network organizations for the accounting system are identified, in particular the need to rethink the accounting unit in the context of interorganizational interaction; the need to isolate transaction costs as an independent object of management accounting; improving the methodology for accounting for intangible assets; expanding the requirements for disclosing information about network relationships in financial and integrated reporting. The results of the study can be used to develop methodological principles of accounting in the context of a network economy.
