From digital transformation to intelligent classrooms: artificial intelligence, adaptive leadership, and service delivery in global higher education—a systematic literature review

Abstract

Artificial intelligence (AI) is rapidly reshaping higher education globally, influencing teaching, learning, administrative processes, and institutional service delivery. Despite growing scholarly attention, evidence remains fragmented across disciplines, particularly regarding the combined influence of AI integration, adaptive leadership, and digital infrastructure readiness on service delivery outcomes. This systematic literature review synthesises global evidence to develop an integrated understanding of AI-driven transformation in higher education. A systematic literature review was conducted following PRISMA guidelines. Peer-reviewed studies published in English between 2019 and 2024 were retrieved from Scopus, Web of Science, IEEE Xplore, SpringerLink, ScienceDirect, and Google Scholar. Studies were selected based on their relevance to artificial intelligence, adaptive leadership, digital infrastructure readiness, and service delivery in higher education. Following eligibility assessment, 155 studies met all inclusion criteria and were included in the final synthesis. Data were extracted using a structured framework and analysed through thematic synthesis across five domains: AI integration, adaptive leadership, infrastructure readiness, service delivery transformation, and barriers to sustainability. The synthesis indicates that AI is associated with improvements in teaching, learning, and administrative efficiency through learning analytics, intelligent tutoring systems, chatbots, and predictive modelling. Adaptive leadership emerged as a key enabler of AI adoption by fostering innovation, managing resistance, and aligning institutional strategies with digital transformation goals. Digital infrastructure readiness influenced the scalability and effectiveness of AI systems, with disparities between high-income and low-income regions. The reviewed literature suggests that AI-enabled service delivery improves responsiveness, personalisation, and student satisfaction, although ethical concerns, infrastructural constraints, and resistance to change limit implementation. AI-driven transformation in higher education is multidimensional and context-dependent. Its success relies on the interaction between technological capability, adaptive leadership, and institutional readiness. Strengthening infrastructure, ethical governance, and leadership capacity is essential for achieving sustainable and equitable AI-enabled service delivery in higher education.