Digital leadership in the age of AI: a review

Babeecha Devi Keisham & Remya Lathabhavan

Development and Learning in Organizations2026https://doi.org/10.1108/dlo-06-2025-0219article
ABDC C
Weight
0.50

What the paper says

Purpose The review paper focuses on the strategic and technological aspects of Digital Leadership. It aims to identify key antecedents, decision-making factors, and outcomes associated with digital leadership and provide actionable, practical implications. Design/methodology/approach The paper reviews 66 Scopus-indexed articles. The subsequent findings are presented according to the antecedents-decision-outcome framework of Paul and Benito. Findings The paper identifies leadership competencies, innovative mindset, and organizational culture as key antecedents of digital leadership. It finds that aligning technology with business goals, collaboration, and reskilling were key enablers of strategic and operational decision-making. Furthermore, prominent outcomes included enhanced innovative performance, employee adaptability, and strategic transformation. Research limitations/implications The limited number of articles referred to in the paper could potentially restrict the understanding gained about digital leadership and the subsequent findings. Practical implications The paper finds that organizations can navigate technological disruptions by strengthening the digital capabilities of their workforce, embedding agility into their work culture, and redefining their work structure. Originality/value The paper highlights digital leadership as a crucial technological and strategic capability. The practical insights can help practitioners navigate technological disruptions effectively.

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https://doi.org/https://doi.org/10.1108/dlo-06-2025-0219

Or copy a formatted citation

@article{babeecha2026,
  title        = {{Digital leadership in the age of AI: a review}},
  author       = {Babeecha Devi Keisham & Remya Lathabhavan},
  journal      = {Development and Learning in Organizations},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/dlo-06-2025-0219},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.