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    <dc:date>2026-08-13T07:36:01Z</dc:date>
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    <title>Problems and prospects for the development of marketing strategies in contemporary research</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/41612</link>
    <description>Назва: Problems and prospects for the development of marketing strategies in contemporary research
Автори: Shyian D.
Короткий огляд (реферат): The article examines bibliometric analysis as a quantitative method for systematizing and investigating scientific literature. Particular attention is paid to the main bibliometric techniques, including performance analysis and science mapping. Citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship analysis are discussed. Network analysis, clustering, and visualization methods for bibliometric data are also considered. The differences between bibliometric analysis, meta-analysis, and systematic literature reviews are highlighted. The study demonstrates the potential of bibliometric methods for identifying the structure, trends, and relationships within scientific research.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <title>Transformation of marketing concepts under the influence of digital technologies</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/41611</link>
    <description>Назва: Transformation of marketing concepts under the influence of digital technologies
Автори: Shyian D.
Короткий огляд (реферат): The article examines bibliometric content analysis as a method for conducting systematic literature reviews. Particular attention is paid to content co-occurrence, or co-word analysis, which enables researchers to identify major research themes and relationships between them. The author compares key informetric approaches and software tools, including VOSviewer, Bibliometrix, Biblioshiny, Leximancer, and CiteSpace. The study outlines the main contributions of co-word analysis, such as developing taxonomies, classifications, typologies, and theoretical frameworks. It also provides step-by-step guidelines for conducting content co-occurrence analysis using VOSviewer. The article highlights the potential of generative artificial intelligence for further development of literature review methods.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <title>Plateau and Structural Regime Shift: Hybrid Forecasting of the EU Decarbonisation Gap Toward 2030 Targets</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/41592</link>
    <description>Назва: Plateau and Structural Regime Shift: Hybrid Forecasting of the EU Decarbonisation Gap Toward 2030 Targets
Автори: Liashenko O.; Pavlov K.; Pavlova O.; Demianiuk O.; Chmura R.; Sowa B.; Vlasenko T.
Короткий огляд (реферат): This study investigates the structural evolution and projected trajectory of greenhouse gas (GHG) emissions across the EU27 from 1990 to 2030, with a particular focus on their implications for the effectiveness of European climate policy. Empirical findings, based on Markov-switching models and segmented regression analysis, indicate a statistically significant regime change around 2014, marking a transi tion to a new emissions pattern characterised by a deceleration in reduction rates. The results underscore critical weaknesses in the EU’s climate policy architecture and reveal a clear need for transformative recalibration. Without accelerated action and strengthened governance mechanisms, the post-2014 regime risks entrenching a plateau in emissions reductions, jeopardising long-term climate objectives.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://repository.hneu.edu.ua/handle/123456789/41591">
    <title>From Stochastic Shocks to Structural Burden: Quantifying Systemic Climate-Related Economic Risks in the European Union</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/41591</link>
    <description>Назва: From Stochastic Shocks to Structural Burden: Quantifying Systemic Climate-Related Economic Risks in the European Union
Автори: Pavlov K.; Liashenko O.; Pavlova O.; Wołowiec T.; Bochenek P.; Ćwik K.; Vlasenko T.
Короткий огляд (реферат): Despite the well-documented acceleration of climate-related economic losses in Europe, existing research has largely treated these damages as isolated stochastic events rather than as structurally embedded fiscal risks. This gap leaves EU fiscal governance frameworks inadequately prepared for the persistent, spatially concentrated, and temporally depen dent nature of such losses. This study addresses this gap by investigating the systemic transformation of climate-related economic risks within the European Union, arguing that climate losses have evolved from unpredictable stochastic shocks into a persistent, struc tural burden on the European economy. Consequently, the paper advocates for a paradigm shift in EU climate policy-moving toward anticipatory fiscal instruments, harmonised resilience financing, and monitoring systems designed to mitigate systemic volatility and cross-country economic asymmetry rather than merely responding to isolated disaster events.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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