[1] Adamakis, M., & Rachiotis, T. (2025). Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration. Encyclopedia, 5(4), 180. https://doi.org/10.3390/encyclopedia5040180

[2] Alakoum, A., Nica, E., & Abiad, M. (2025). AI and algorithmic governance in public administration: implications for faculty satisfaction, HR strategies, and performance systems in higher education. Administratie si Management Public, 44, 6-22. https://doi.org/10.24818/amp/2025.44-01

[3] Artyukhov, A., Chumachenko, D., BABAIEV, D., Koldovskyi, A., & Chentsov, V. (2026). From ai use to responsible ai preparedness: professional learning needs in Ukrainian higher education [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.22706501

[4] Bilan, S., Šuleř, P., Skrynnyk, O., Krajňáková, E., & Vasilyeva, T. (2022). Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture. Business: Theory and Practice, 23(1), 1–13. https://doi.org/10.3846/btp.2022.13204

[5] Cela, E., Vajjhala, N. R., & Fonkam, M. M. (Eds.). (2025). Next-Generation AI Methodologies in Education. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-7220-3

[6] Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20, Article 38. https://doi.org/10.1186/s41239-023-00408-3

[7] Chugh, R., Turnbull, D., Cowling, M. A., & others. (2023). Implementing educational technology in higher education institutions: A review of technologies, stakeholder perceptions, frameworks and metrics. Education and Information Technologies, 28, 16403–16429. https://doi.org/10.1007/s10639-023-11846-x

[8] Chumachenko, D., Fitz-Gerald, A., Artyukhov, A., & Lyeonov, S. (2025). Governing AI in education: A cross-organization analysis of international policy, law, and standards. CEUR Workshop Proceedings, 4164, 389–400. URL: https://ceur-ws.org/Vol-4164/

[9] Domina, O., Andriushchenko, K., Liezina, A., Tsymbalenko, Y., Titova, O., Kyryliuk, O., & Vylgin, Y. (2025). The Impact of Artificial Intelligence on the Formation of a Teacher’s Digital Twin in the Metaverse. Journal of Vasyl Stefanyk Precarpathian National University, 12(3), 169–185. https://doi.org/10.15330/jpnu.12.3.169-185

[10] European Commission, Directorate-General for Education, Youth, Sport and Culture. (2026). Guidelines on the ethical use of artificial intelligence and data in teaching and learning for educators (Updated ed.). Publications Office of the European Union. https://doi.org/10.2766/7967834

[11] Francis, N. J., Jones, S., & Smith, D. P. (2025). Generative AI in higher education: Balancing innovation and integrity. British Journal of Biomedical Science, 81, Article 14048. https://doi.org/10.3389/bjbs.2024.14048

[12] Frimpong, V. (2025). Not All That Can Be Automated Should Be Automated – Strategic Minimalism as a Disciplined and Ethically Grounded Approach to AI Adoption. Business Ethics and Leadership, 9(4), 57-66. https://doi.org/10.61093/bel.9(4).57-66.2025

[13] Haley, P., & Burrell, D. N. (2025). Integrating Artificial Intelligence into Law Enforcement: Socioeconomic and Ethical Challenges. SocioEconomic Challenges, 9(2), 60-77. https://doi.org/10.61093/sec.9(2).60-77.2025

[14] Hayes, R. D., & Burrell, D. N. (2026). Reasonable Oversight of the Practical, Legal, and Ethical Boundaries Impacting Human Factors Trust in Automated Decision-Making. Public Governance, Regulation and Law, 2(1), 33-50. https://doi.org/10.61093/pgrl.2(1).33-50.2026

[15] Hart, G. (2025). Navigating AI Implementation in Healthcare Retail: A Case Study on Leadership, Workforce Adaptation, and Digital Transformation. Health Economics and Management Review, 6(3), 1-16. https://doi.org/10.61093/hem.2025.3-01

[16] Iurchenko, M., & Ponomarenko, M. (2025). Ukrainian Educational and Scientific Potential After the Full-Scale Invasion: Socieconomic Challenges and Prospects. SocioEconomic Challenges, 9(1), 21-38. https://doi.org/10.61093/sec.9(1).21-38.2025

[17] Koibichuk, V., Samoilikova, A., & Vasylieva, T. (2023). Digitalization and Innovation Transfer as a Leadership Trend in Education: Bibliometric Analysis and Social Analytics. In: Strielkowski, W. (eds) Leadership, Entrepreneurship and Sustainable Development Post COVID-19. NILBEC 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-28131-0_17

[18] Kot, S., Kaur, H., & Haque, A. U. (2026). Embracing vulnerability in AI mediated coaching: A developmental pathway for ethical HRD. Journal of International Studies, 19(2), 31-46. https://doi.org/10.14254/2071-8330.2026/19-2/2

[19] Kritikos, I., Sarantopoulos, A., Roumeliotis, A., Vasiliades, J., & Matsinas, I. (2025). Unlocking the Potential of Artificial Intelligence in Pharma Research and Development: Insights from Investor and Researcher Perspectives. Health Economics and Management Review, 6(2), 1-16. https://doi.org/10.61093/hem.2025.2-01

[20] Kuzior, A., Marszałek-Kotzur, I., Sansyzbayeva, K. N., & Lukács, E. (2025). From AI vibrancy to labour market outcomes: Testing displacement across education groups. Economics and Sociology, 18(4), 131-159. https://doi.org/10.14254/2071- 789X.2025/18-4/7

[21] Lamichhane, B. D., Chalise, M., Dhungana, B. R., Neupane, D., Kayastha, M., & Rai, K. (2026). Socio-economic challenges of leadership-driven learning strategies in management education. SocioEconomic Challenges, 10(2), 71-85. https://doi.org/10.61093/sec.10(2).71-85.2026

[22] Lyeonov, S., Artyukhov, A., Bilan, S., & Bács, Z. (2026). How university staff evaluate generative AI: Cognitive and ethical perspectives on teaching, trust, and academic integrity. Human Technology, 22(1), 68–97. https://doi.org/10.14254/1795-6889.2026.22-1.4

[23] Mamdouh, A., Adel, R., Khourshed, N., & Ragheb, M. A. (2025). Impact of Digital Leadership on Employee Performance with Mediation Roles of Digital Self-Efficacy and Employee Motivation. Business Ethics and Leadership, 9(3), 109-129. https://doi.org/10.61093/bel.9(3).109-129.2025

[24] Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535

[25] Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084

[26] Molina, E., & Medina, E. (2025). AI Revolution in Higher Education. What you need to know. In Digital Innovations in Education. World Bank. World Bank. URL: https://documents1.worldbank.org/curated/en/099757104152527995/pdf/IDU-b1e5ef00-75ff-4ba4-a4b6-84899c3ea968.pdf

[27] Mura, L., & Stehlíková, B. (2025). The ethics of artificial intelligence: Safeguarding human dignity, social justice and environmental stability in the age of AI. Equilibrium. Quarterly Journal of Economics and Economic Policy, 20(2), 479-507. https://doi.org/10.24136/eq.3743

[28] Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Education and Information Technologies, 71, 137–161. https://doi.org/10.1007/s11423-023-10203-6

[29] Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2024). Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach. British Journal of Educational Technology, 55, 1082–1104. https://doi.org/10.1111/bjet.13411

[30] OECD. (2024). Education Policy Outlook 2024: Reshaping Teaching into a Thriving Profession from ABCs to AI. OECD Publishing, Paris. https://doi.org/10.1787/dd5140e4-en

[31] OECD. (2025). Results from TALIS 2024: The State of Teaching. TALIS, OECD Publishing, Paris. https://doi.org/10.1787/90df6235-en

[32] Okulich-Kazarin, V., & Artyukhov, A. (2025). (Un)invited Assistant: AI as a Structural Element of the University Environment. Societies, 15(11), 297. https://doi.org/10.3390/soc15110297

[33] Oncioiu, I., & Bularca, A. R. (2025). Artificial Intelligence Governance in Higher Education: The Role of Knowledge-Based Strategies in Fostering Legal Awareness and Ethical Artificial Intelligence Literacy. Societies, 15(6), 144. https://doi.org/10.3390/soc15060144

[34] Pilny, J., & Postrzednik-Lotko, K. (2025). The Use of New Technologies and Artificial Intelligence in Language Learning and Corporate Discourse. Knowledge Economy and Lifelong Learning, 1(2), 50-76. https://doi.org/10.61093/kell.1(2).50-76.2025

[35] Popova, L. (2024). The Phenomenon of “Artificial Intelligence” in the Formation of Transversal Competencies of the Future Teacher: Pros and Cons. Journal of Vasyl Stefanyk Precarpathian National University, 11(1), 86–93. https://doi.org/10.15330/jpnu.11.1.86-93

[36] Rahmanov, F., Ganiyeva, S., Aliyeva, N., Neymatova, L., & Aghazada, T. (2025). The impact of education digitalization on achieving SDG4: A comparative assessment of Azerbaijan and SDG4 leaders. Problems and Perspectives in Management, 23(2), 634–650. https://doi.org/10.21511/ppm.23(2).2025.46

[37] Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences, 12(8), 569. https://doi.org/10.3390/educsci12080569

[38] Sarwar, U., Sanhong, T., Waheed Akhtar, M., & Aamir, M. (Eds.). (2025). Navigating Barriers to AI Implementation in the Classroom. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-1827-1

[39] Schinello, S. (2025). Challenges and opportunities in the use of artificial intelligence in creative economy: Insights from expert interviews. Economics and Sociology, 18(1), 199-216. https://doi.org/10.14254/2071-789X.2025/18-1/10

[40] Sieciński, K., & Oliński, M. (2026). ChatGPT as a knowledge-support tool: Perceptions of its professional use among working students in Poland. Knowledge and Performance Management, 10(3), 80–99. https://doi.org/10.21511/kpm.10(3).2026.06

[41] Škare, M., Porada-Rochon, M., & Veselica Celić, R. (2025). Total factor productivity dynamics and the artificial intelligence paradox: Evidence from longmemory analysis. Journal of International Studies, 18(4), 218-242. https://doi.org/10.14254/2071- 8330.2025/18-4/11

[42] Skrynnyk, O., Lyeonov, S., Lenska, S., Litvinchuk, S., Galaieva, L., & Radkevych, O. (2022). Artificial intelligence in solving educational problems. Journal of Information Technology Management, 14(Special Issue: Digitalization of Socio-Economic Processes), 132–146. https://doi.org/10.22059/jitm.2022.88893

[43] Springs, D. (2025). Smart Leadership Adaptations in Artificial Intelligence Dual Use Functions and Ethical Implications in Healthcare Organizations and Biotechnology Innovations. Health Economics and Management Review, 6(3), 28-37. https://doi.org/10.61093/hem.2025.3-03

[44] Stolpe, K., & Hallström, J. (2024). Artificial Intelligence Literacy for Technology Education. Computers and Education Open, 6, 100159. https://doi.org/10.1016/j.caeo.2024.100159

[45] Suchikova, Y., & Omelchuk, S. (2026). Institutional AI policies in Ukrainian higher education: A thematic analysis and assessment using the taxonomy of institutional AI policy maturity. Knowledge and Performance Management, 10(2), 1–19. https://doi.org/10.21511/kpm.10(2).2026.01

[46] Szeberényi, A. (2026). From compliance to accountability in digital globalization: The ethical friction threshold model for artificial intelligence-enabled business leadership. Business Ethics and Leadership, 10(2), 228-243. https://doi.org/10.61093/bel.10(2).228-243.2026

[47] Vorontsova, A., Tarasenko, S., Duranowski, W., Durasiewicz, A., Soss, J., & Bilovol, A. (2025). A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions. Problems and Perspectives in Management, 23(1), 101–114. https://doi.org/10.21511/ppm.23(1).2025.08

[48] Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21, Article 15. https://doi.org/10.1186/s41239-024-00448-3

[49] Wang, B., Rau, P. L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324–1337. https://doi.org/10.1080/0144929X.2022.2072768

[50] World Bank. (2025). Digital Progress and Trends Report 2025: Strengthening AI Foundations. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-2264-3

[51] World Bank, EdTech Hub, & AI Observatory. (2026). Preparing tertiary institutions for an AI-driven world: An artificial intelligence in education Community of Interest event (January 22, 2026). World Bank. URL: https://documents1.worldbank.org/curated/en/099728105012642727/pdf/IDU-fc687a85-fee7-4c00-a760-0f344888c704.pdf

[52] Yarovenko, H., Kuzior, A., Norek, T., & Lopatka, A. (2024). The future of artificial intelligence: Fear, hope or indifference?. Human Technology, 20(3), 611–639. https://doi.org/10.14254/1795-6889.2024.20-3.10

[53] Yeremenko, O. (2026). Retraining and Lifelong Learning as an Anti-Crisis Tool: Preserving Ukraine’s Intellectual Capital in Times of War. Knowledge Economy and Lifelong Learning, 2(1), 48-66. https://doi.org/10.61093/kell.2(1).48-66.2026

[54] Zimosz, P., & Ober, J. (2025). Impact of Artificial Intelligence on Education. Knowledge Economy and Lifelong Learning, 1(2), 77-98. https://doi.org/10.61093/kell.1(2).77-98.2025

[55] Żulicki, R. (2026). Negative relationship between cultural individualism and ChatGPT usage. Sociological analysis across 21 countries. Human Technology, 22(1), 139–157. https://doi.org/10.14254/1795-6889.2026.22-1.7