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1.
AI Adoption in European Enterprises
Maja Ćukušić, 2015, published scientific conference contribution

Abstract: 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.
Keywords: AI adoption, digital transformation, fsQCA, ICT security, data analytics, cloud computing, ICT skills training, European enterprises
Published in RUP: 04.03.2026; Views: 215; Downloads: 3
.pdf Full text (1,49 MB)
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2.
Generative AI and the Croatian Educational System
Saša Mladenović, 2025, independent scientific component part or a chapter in a monograph

Abstract: 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.
Keywords: Croatian education, AI in education, AI curriculum, AI ethics, digital transformation, AI literacy
Published in RUP: 23.12.2025; Views: 339; Downloads: 1
.pdf Full text (168,47 KB)

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