Abstract
In the digital age, Artificial Intelligence (AI) is revolutionizing traditional TM practices by offering predictive, personalized, and data-driven solutions. The rapid integration of Artificial Intelligence (AI) into educational systems has opened new avenues for strengthening institutional performance and academic excellence. The education sector thrives on human capital, where effective Talent Management (TM) ensures academic quality and institutional reputation. While prior research has predominantly emphasized student-centered applications of AI, limited attention has been paid to the perceptions of faculty and their outcomes in relation to AI-driven Talent Management (TM) practices. Drawing upon existing literature, four key propositions are formulated: (1) AI positively influences TM practices; (2) AI positively influences faculty outcomes; (3) TM practices positively influence faculty outcomes; and (4) AI-supported TM practices positively influence faculty outcomes through mediation. The proposed framework highlights how AI-enabled recruitment, development, engagement, and retention practices can improve faculty performance, productivity, motivation, commitment, job satisfaction, and workforce upskilling. The study contributes to both theory and practice by demonstrating how AI-enabled TM practices can foster sustainable faculty outcomes, ultimately advancing educational excellence in the new era of digital transformation. Implications for policymakers and academic leaders are discussed, alongside recommendations for leveraging AI responsibly to align institutional strategy with faculty growth and institutional sustainability.
Keywords: Artificial Intelligence, Talent Management, Faculty Outcomes, Higher Education, Educational Excellence, Mediated Framework
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