Issue #2 (Volume 10 2026)

Type of the article: Research Article

The study aims to analyze institutional policies governing the use of generative artificial intelligence (GenAI) in Ukrainian universities and assess their regulatory maturity. Drawing on the authors’ Taxonomy of Institutional AI Policy Maturity (AI-PMT), which comprises twelve analytical dimensions, the study examines a sample of 23 publicly available institutional policy documents adopted between 2023 and 2025. The analysis combines qualitative and quantitative approaches. A directed content analysis was used to assign ordinal scores (0-2) across twelve dimensions, enabling the construction of a cumulative maturity index (0-24) for each institution. The results reveal an uneven distribution of regulatory development, with more elaborated provisions related to teaching and learning, and comparatively less developed components addressing research practices, data governance, and infrastructural support. To synthesize these patterns, an analytical typology of institutions was developed based on cumulative maturity scores, identifying three broad groups that differ in the degree of regulatory completeness and procedural specification. In parallel, thematic analysis of policy content identified recurring patterns, including the normalization of AI use in education, the emphasis on transparency and disclosure, the prevalence of precautionary approaches to data and confidentiality, and several contested provisions. Comparison with international policy frameworks suggests that Ukrainian universities broadly align with global normative trends in principles, but exhibit limited operationalization of governance mechanisms and research-related provisions. The findings highlight structural imbalances in institutional AI governance and underscore the need to further develop research-oriented regulation, institutional support mechanisms, and coordinated policy approaches.

Acknowledgment
We thank the Armed Forces of Ukraine for providing security for this work, which was made possible only thanks to the resilience and bravery of the Ukrainian Army.

Type of the article: Research Article

Lecturers’ financial well-being is an important factor influencing work motivation, teaching quality, and professional commitment in implementing the Tri Dharma of Higher Education. This study is motivated by the financial challenges faced by lecturers at private higher education institutions in underdeveloped, frontier, and outermost regions, particularly in Southwest Papua, Indonesia, which are characterized by limited income and high financial vulnerability. The study aims to examine the effects of financial stress, money attitude, financial risk tolerance, and financial socialization on financial well-being, with financial literacy as a mediating variable. Using a quantitative explanatory design, data were collected from 230 certified lecturers across eight private higher education institutions in Southwest Papua through a census approach within a defined sub-population. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings show that money attitude has a positive and significant direct effect on financial well-being and financial literacy. Financial stress and financial risk tolerance significantly influence financial literacy but have no direct effect on financial well-being, while financial socialization shows no significant effect. Financial literacy significantly mediates the relationships between financial stress, money attitude, and financial risk tolerance toward financial well-being. The model explains 39.7% of financial well-being and 34.8% of financial literacy variance. These results highlight the importance of structured financial literacy programs for lecturers in underdeveloped, frontier, and outermost regions.