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This study seeks to uncover the impact of cloud technology as a mediator between knowledge management processes and job burnout among research professors in Algerian universities. The results showed that the use of cloud technology significantly contributes to improving knowledge management processes, such as storing and sharing information, which leads to reduced levels of job burnout by reducing work-related stress and pressure. Based on these findings, the research recommends increasing the adoption of cloud technology in universities to enhance knowledge management and reduce job burnout among research professors.

This research examines integrating talent management strategies -recruitment, development, and retention- with artificial intelligence in higher education institutions. The study aims to address how artificial intelligence can enhance talent management by recruiting technologically proficient staff, facilitating knowledge transfer, and automating routine tasks. Methodologically, the research draws on the descriptive-analytical method and qualitative data from case studies and expert interviews within university settings. Findings indicate that artificial intelligence significantly improves efficiency in human resources processes and promotes a shared vision between universities and stakeholders regarding the effective use of artificial intelligence for managing large datasets swiftly and accurately. The implications suggest that higher education institutions should invest in AI technologies and training to align with evolving educational needs and enhance institutional performance.