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Transforming Leadership Practices Through Artificial Intelligence: A Systematic Review
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Author(s): Sufyan Maqbool (Zhejiang Normal University, China), Samra Maqbool (Beijing Normal University, China), Hafiz Muhammad Ihsan Zafeer (Henan University, China), Saima Javed (Zhejiang Normal University, China), Ayesha Tariq (The Islamia University of Bahawalpur, Pakistan)and Muhammad Usman Zafeer (University of Punjab, Pakistan)
Copyright: 2026
Pages: 24
Source title:
AI-Powered Cognitive Tutors and the New Frontier of Personalized Learning
Source Author(s)/Editor(s): Samra Maqbool (Beijing Normal University, China), Hafiz Muhammad Ihsan Zafeer (Zhejiang Normal University, China)and Ayesha Tariq (The Islamia University of Bahawalpur, Pakistan)
DOI: 10.4018/979-8-3373-4217-7.ch002
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Abstract
This systematic review examines the integration of Artificial Intelligence (AI) into leadership practices, focusing on its impact on decision-making, employee engagement, and organizational change. AI technologies, including machine learning, natural language processing, and data analytics, have transformed traditional leadership practices by enabling data-driven decision-making, improving operational efficiencies, and fostering innovation. The review synthesizes findings from 10 studies that explore AI's role in enhancing leadership strategies, including its influence on resource allocation, talent management, and team collaboration. However, challenges such as ethical concerns, biases in AI algorithms, resistance to adoption, and the potential loss of human judgment are discussed. The review also highlights how AI tools such as virtual assistants and chatbots contribute to improving communication and employee engagement. Ultimately, the paper aims to provide insights into how AI can be leveraged effectively in leadership practices, contributing to better organizational outcomes.
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