The influence of artificial intelligence-driven capabilities on responsible leadership: A future research agenda

Sahadat Hossain, Mario Fernando and Shahriar Akter

Journal of Management & Organization, 2025, vol. 31, issue 5, 2360-2384

Abstract: A new form of human–machine collaborative capabilities has been called to complement traditional capabilities to ensure higher but more responsible performance. We reviewed the extant literature on leadership in the artificial intelligence context to identify the leaders’ essential artificial intelligence-driven capabilities and synthesize the systematic review findings into an integrated conceptual framework to highlight how artificial intelligence-driven organizations could lead more responsibly. We conducted the systematic review and thematic analysis based on 37 papers identified from Emerald Insight, EBSCOhost Business Source Complete, and ScienceDirect databases. We found organizational leaders require technical, adaptive, and transformational capabilities to lead in an artificial intelligence-driven disruptive organizational environment. Our findings contribute to dynamic managerial capability and responsible leadership for performance theories by showing how these three uncovered capabilities enable organizational leaders to deploy dynamic managerial capabilities – sensing, seizing and reconfiguring more responsibly.

Date: 2025
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