1. AI Adoption in European EnterprisesMaja Ćukušić, 2015, objavljeni znanstveni prispevek na konferenci Opis: This paper examines the data on AI adoption in European companies by analysing how different indicators of digital readiness, technological infrastructure and organisational capacity contribute to the successful integration of AI. The study analyses data from 31 European countries and uses fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify three different pathways to AI adoption: digital maturity (a combination of high digital intensity, internet access and ICT security), technology-based readiness (based on in-house data analytics, cloud computing and ICT specialists) and capability-based empowerment (through ICT training alongside ICT staff and ICT security). The results show that multiple configurations can lead to effective AI adoption, underlining the principle of equivalence. The findings underscore the important role of ICT security across all pathways and suggest that workforce development is able to compensate for infrastructural gaps. Some practical guidance for businesses and policy makers are also provided.
Ključne besede: AI adoption, digital transformation, fsQCA, ICT security, data analytics, cloud computing, ICT skills training, European enterprises
Objavljeno v RUP: 04.03.2026; Ogledov: 453; Prenosov: 4
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2. Enabling cross-sectoral transformation for coastal climate adaptation in Europe : four directions for interdisciplinary effortsKristof Tomej, Carla Garcia-Lozano, Josep Vila-Subiros, Alberto Innocenti, Emil Juvan, Olivier Le Pape, Niels Tobias Arnoldussen, Jonathan Verschuuren, Timothy Taylor, Gesche Huebner, 2026, izvirni znanstveni članek Opis: Coastal areas in Europe are of immense value – not only to their residents but also to communities further inland. At the same time, they are particularly vulnerable to the impacts of climate change. The current pace of coastal climate adaptation remains slow, constrained by underfunding and the fragmented, sectoral nature of many initiatives. This calls for radically new yet practical approaches. In this perspective, a group of European researchers from diverse disciplines explores what cross-sectoral transformation could mean in the context of coastal climate adaptation. Drawing on expertise in environmental science, spatial planning, law, ecology, health, and tourism, we propose four directions for interdisciplinary research to enable such transformation: (1) developing dynamic and holistic understandings of climate impacts and adaptation responses; (2) establishing shared adaptation objectives and priorities across sectors; (3) promoting ecosystem-based development; and (4) adapting legal and institutional systems to support integration and flexibility. We invite scholars and practitioners to engage with these interdependent directions to advance adaptation efforts for European coasts.
Ključne besede: climate adaptation, climate change, coast cross-sectoral, nature-based solutions, transformation
Objavljeno v RUP: 13.02.2026; Ogledov: 634; Prenosov: 3
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3. Generative AI and the Croatian Educational SystemSaša Mladenović, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: This chapter explores the transformative potential of Generative AI (GEN-AI) in education, focusing on its integration into the Croatian educational system. It examines the historical evolution of AI, the rapid emergence of GEN-AI tools, and their implications for teaching and learning. GEN-AI’s multimodal capabilities offer opportunities to enhance creativity, problem-solving, and personalised learning. However, challenges such as overreliance, transparency, and ethical considerations require special attention. Croatia has made significant efforts in addressing these challenges through initiatives like the BrAIn project, CARNET’s AI curriculum, and the Digital Croatia Strategy 2032, which emphasise AI literacy, teacher empowerment, and equitable access. Pedagogical approaches for teaching with and about GEN-AI are discussed, emphasising active learning, ethical awareness, and the importance of maintaining human oversight. This chapter advocates for a balanced, human-centric approach to integrating GEN-AI, ensuring its use aligns with educational values of creativity and intellectual growth while addressing the evolving demands of a digital future.
Ključne besede: Croatian education, AI in education, AI curriculum, AI ethics, digital transformation, AI literacy
Objavljeno v RUP: 23.12.2025; Ogledov: 599; Prenosov: 4
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4. Distance-regular Cayley graphs over ℤpˢ ⊕ ℤpXiongfeng Zhan, Lu Lu, Xueyi Huang, 2025, izvirni znanstveni članek Opis: In 2007, Miklavič and Potočnik proposed the problem of characterizing distance-regular Cayley graphs, which can be viewed as an extension of the problem of identifying strongly regular Cayley graphs, or equivalently, regular partial difference sets. Let p be an odd prime. In this paper, all distance-regular Cayley graphs over ℤps ⊕ ℤp are identified. It is shown that every such graph is isomorphic to a complete graph, a complete multipartite graph, or the line graph of a transversal design TD(r, p) with 2 ≤ r ≤ p − 1.
Ključne besede: distance-regular graph, Cayley graph, Schur ring, Fourier transformation, transversal design
Objavljeno v RUP: 21.10.2025; Ogledov: 800; Prenosov: 6
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5. Managing innovation in agriculture through digital transformation : bachelor thesisMarija Misheva, 2025, diplomsko delo Ključne besede: digital transformation, digital agriculture, innovation management, precision agriculture, IoT, drones, employee adaptation, agri-tech
Objavljeno v RUP: 14.07.2025; Ogledov: 890; Prenosov: 18
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