Paper Type
Complete
Paper Number
PACIS2026-2145
Description
Artificial intelligence (AI) is increasingly reshaping organizational learning and leadership development in contemporary business organizations. This study investigates how AI transforms leadership learning and development through a systematic literature review integrating insights from information systems, organizational learning, and leadership research. Using a PRISMA-guided review process and Gioia-inspired qualitative synthesis, the study identifies four interconnected dimensions of AI-enabled leadership development: AI-augmented learning infrastructure, pedagogical learning mechanisms, human-centered leadership capabilities, and AI governance and organizational readiness. Based on the synthesis, the study develops a socio-technical conceptual framework explaining how AI-supported learning systems interact with experiential learning processes, human-centered leadership practices, and organizational governance conditions. The findings suggest that AI primarily augments rather than replaces leadership development by enabling scalable, adaptive, and data-driven learning environments while preserving the importance of empathy, ethical judgment, and relational leadership. The study contributes to IS research on digital transformation, human–AI collaboration, and organizational learning.
Recommended Citation
Darvish, Mahdieh and Klotz, Katharina, "Artificial Intelligence and Digital Transformation of Leadership Development: A Systematic Literature Review" (2026). PACIS 2026 Proceedings. 18.
https://aisel.aisnet.org/pacis2026/di_entren/di_entren/18
Artificial Intelligence and Digital Transformation of Leadership Development: A Systematic Literature Review
Artificial intelligence (AI) is increasingly reshaping organizational learning and leadership development in contemporary business organizations. This study investigates how AI transforms leadership learning and development through a systematic literature review integrating insights from information systems, organizational learning, and leadership research. Using a PRISMA-guided review process and Gioia-inspired qualitative synthesis, the study identifies four interconnected dimensions of AI-enabled leadership development: AI-augmented learning infrastructure, pedagogical learning mechanisms, human-centered leadership capabilities, and AI governance and organizational readiness. Based on the synthesis, the study develops a socio-technical conceptual framework explaining how AI-supported learning systems interact with experiential learning processes, human-centered leadership practices, and organizational governance conditions. The findings suggest that AI primarily augments rather than replaces leadership development by enabling scalable, adaptive, and data-driven learning environments while preserving the importance of empathy, ethical judgment, and relational leadership. The study contributes to IS research on digital transformation, human–AI collaboration, and organizational learning.
Comments
09-Transformation