Generative AI Integration in Leadership Practice: Foundations, Challenges, and Opportunities DOI Open Access

M. Tabata,

Cris Wildermuth,

Kevin Bottomley

et al.

Journal of Leadership Studies, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Integrating generative artificial intelligence (GenAI) into leadership practice represents a pivotal transformation in organizational dynamics, presenting unprecedented opportunities and complex challenges. The current article develops comprehensive conceptual framework grounded sociotechnical systems adaptive theories to guide future research practice. By carefully examining leader‐follower relationships, decision‐making processes, learning patterns, we demonstrate how GenAI reshapes traditional paradigms while raising critical ethical considerations. Our analysis reveals four key areas demanding attention: AI implementation, trust dynamics between human agents, literacy development across levels, integrating with existing structures governance policies. emphasizes the crucial balance technological advancement human‐centered leadership, particularly highlighting Human Interaction lens can responsible adoption. identifying specific questions each domain, provides roadmap for scholars practitioners navigating evolving landscape of AI‐enhanced leadership.

Language: Английский

Generative AI Integration in Leadership Practice: Foundations, Challenges, and Opportunities DOI Open Access

M. Tabata,

Cris Wildermuth,

Kevin Bottomley

et al.

Journal of Leadership Studies, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Integrating generative artificial intelligence (GenAI) into leadership practice represents a pivotal transformation in organizational dynamics, presenting unprecedented opportunities and complex challenges. The current article develops comprehensive conceptual framework grounded sociotechnical systems adaptive theories to guide future research practice. By carefully examining leader‐follower relationships, decision‐making processes, learning patterns, we demonstrate how GenAI reshapes traditional paradigms while raising critical ethical considerations. Our analysis reveals four key areas demanding attention: AI implementation, trust dynamics between human agents, literacy development across levels, integrating with existing structures governance policies. emphasizes the crucial balance technological advancement human‐centered leadership, particularly highlighting Human Interaction lens can responsible adoption. identifying specific questions each domain, provides roadmap for scholars practitioners navigating evolving landscape of AI‐enhanced leadership.

Language: Английский

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