Algorithmic leadership for strategic planning in higher education institutions

Purpose Algorithmic leadership (AL) is an emerging leadership paradigm in higher education. It involves quantitative assessment, logical reasoning, precise calculation and a systematic problem-solving approach. The current study examines research on how AL reshapes strategic decision-making and planning, and how it informs policy recommendations in this domain. Design/methodology/approach The study adopted a mixed-methods approach. First, a comprehensive literature review with a bibliometric analysis was conducted to examine intellectual development in AL and its related literature. In the second step, structured interviews were conducted with the top management to explore the role of AL in strategic planning processes in higher education institutions (HEIs). Findings The review and bibliometric analysis indicate that AL is an emerging field with growing interest among researchers and recommend further exploration, as the number of authors and organisations working on or adopting AL remains low. Additionally, the interview prompts the AL to enhance organisational performance; however, interviewers believe that its rigid structure undermines academic freedom and autonomy and reduces intellectual spontaneity, which may lead to burnout and alienation. Originality/value The study employed both secondary and primary data to explore the AL development and trends and the impact of the AL on HEIs' strategic planning processes. The study provides robust findings that inform the current state of the AL literature and future recommendations. The study recommends a hybrid AI–human leadership model to enhance strategic planning in HEIs.