Higher education readiness to implement artifi cial intelligence: a bibliometric analysis

The purpose of this study is to identify the key areas of readiness for AI use in higher education. The importance of the research is conditioned by rapid digital transformation of higher education under the influence of AI and the lack of a holistic view on the directions of its implementation. The author formulates the following research question: What research directions are observed in the existing discourse concerning the readiness to spread artificial intelligence technologies in higher education? To answer the question, a bibliometric analysis of the combined citations of 2,237 publications indexed in the SCOPUS database for the period of 2015-2025 was carried out. Further, the study carried out qualitative coding of abstracts to narrow the sample to 598 of the most significant publications. Using bibliometric analysis, five main research areas have been identified: (1) formation of strategic readiness of universities for AI in educational organizations (2) formation of organizational readiness of universities for AI (3) formation of consumer readiness of teachers and students for AI (4) formation of psychological parameters of readiness for AI (5) formation of decision-making mechanisms during implementation AI. The results obtained indicate the multilevel nature of the willingness to implement AI on a strategic, organizational, and personal-psychological level. The study is a systematic review of scientific publications using a bibliometric approach, which allows us to identify new promising areas for further development of the topic of higher education readiness for the dissemination of AI. It contributes to understanding the role of AI as a key factor in the transformation of higher education.