FAP - Management
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Browsing FAP - Management by Subject "Digital transformation"
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Item Talent Management in Europe’s ICT Sector: A Data-Driven Perspective(SNSPA/Paradigm Publishing Services, 2026-06-29) Grigorescu, Adriana; Lungu, Diana-Cristina; Voica, Marian CatalinThe information and communication technology labor market in Europe has become one of the fastest growing segments of the economy, reflecting the broader digital transformation that is reshaping industries and societies. Despite this growth, employers and policymakers continue to face structural difficulties, such as a limited supply of skilled professionals, uneven participation across demographic groups, and strong regional imbalances in the availability of talent. The existing scientific literature underlines the growing demand for digital skills but also emphasizes persistent challenges, including gender disparities, mismatches between education systems and industry requirements, and difficulties in achieving cross-border labor mobility. While a considerable body of work has addressed these issues conceptually, fewer studies have employed systematic quantitative evidence to measure the scale of shortages and their variation across European member states. This study applies a quantitative research design based on secondary data from validated European sources, including statistical databases and official labor market monitoring reports. The methodology combines trend analysis for the period 2012 to 2024, cross-country comparisons between highly developed and emerging economies within the European Union, and correlation analysis focused on the relationship between gender balance and skill shortages. The findings highlight four critical dynamics: a near doubling of employment in the information and communication technology sector over the past decade, the persistent underrepresentation of women with only 19.4% of specialists, pronounced regional disparities with some countries reporting more than 65% of vacancies as difficult to fill, and a forecasted shortage of up to 8 million professionals by 2030. By integrating statistical evidence with a talent management perspective, this research contributes to the field by demonstrating how real-time labor data can inform more effective recruitment, reskilling, and mobility strategies, ultimately supporting the sustainable development of Europe’s digital economy.Item University Transfer Architectures for Smart Governance: A Regional Comparison of Scientific Community Building(MDPI, 2026-07-06) Schachtner, Christian; Vrabie, CatalinUniversities are increasingly expected to contribute not only to teaching and research, but also to public-sector innovation, regional development, and digitally enabled governance. This article examines how higher education institutions organize that contribution by comparing two university-based transfer architectures: Smart-EDU Hub @ SNSPA in Bucharest and the distributed transfer portfolio of RheinMain University of Applied Sciences and Arts (HSRM). Using a qualitative comparative case-study design based on the document analysis of internal strategy and regulatory documents, institutional webpages, and European policy frameworks, the study analyzes the mission framing, organizational form, program architecture, trust infra-structure, and scaling logic. The documentary analysis indicates that Smart-EDU Hub is formally presented and institutionally organized as a centralized, branded, mission-led platform that bundles conferences, courses, projects, visiting scholars, and publication channels under a recognizable public-facing identity. HSRM, by contrast, is documented as a distributed transfer portfolio linking transfer strategy, dialogue formats, digitally supported teaching, administrative digitalization, continuing education, and AI support services. The comparison should therefore be read as an analysis of formal and publicly documented transfer architectures, not as an evaluation of actual institutional performance, stakeholder experience, or societal impact. The article contributes to Administrative Sciences by conceptualizing university transfer for smart governance as a public-management and governance-design problem. It develops an analytical hybrid transfer-architecture framework in which a visible hub is combined with distributed specialist nodes, shared quality assurance, and explicit safeguards for ethics, cybersecurity, and trustworthy AI.