Artificial Intelligence Adoption, Complementary Digital Capabilities, and Operational Resilience: A Comparative Analysis of Romania and the Euro Area (2020-2024)
Artificial Intelligence Adoption, Complementary Digital Capabilities, and Operational Resilience: A Comparative Analysis of Romania and the Euro Area (2020-2024)
Author(s): Mircea-Mihai OBREJASubject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: EDITURA ASE
Keywords: Artificial Intelligence; Digital Transformation; Operational Resilience; Technology Adoption;
Summary/Abstract: This paper explores the relationship between Artificial Intelligence (AI) adoption, complementary digital capabilities, and operational resilience in enterprises, using Romania and the Euro Area as a comparative case study. Drawing on Eurostat data from 2020 to 2024, the analysis focuses on four indicators: AI adoption, cloud computing usage, the Digital Intensity Index (DII), and employment of ICT specialists. The findings reveal persistent structural gaps between Romania and the Euro Area across all dimensions, with Romanian firms – particularly SMEs – showing lower adoption rates and weaker digital integration. These differences are not only technological but also rooted in human capital disparities and infrastructural limitations. The results suggest that resilience-enhancing digital transformation in Romania requires coordinated interventions, including policy support for technology adoption, investment in cloud infrastructure, and expanded ICT education and training. By highlighting the complementary nature of digital capabilities, the study underlines that progress in one area (e.g., AI) depends on maturity in others (e.g., cloud or skills). This paper aims to provide insights into how less digitally advanced economies can accelerate transformation and strengthen enterprise resilience in an era marked by increasing technological disruption.
Journal: Revista de Management Comparat Internațional
- Issue Year: 26/2025
- Issue No: 5
- Page Range: 899-913
- Page Count: 15
- Language: English
