Decision Legitimacy in AI-Enabled Organizations: A Multilevel Framework of Algorithmic Authority and Human Judgment
DOI:
https://doi.org/10.65150/EP-jsshrs/V2E5/2026-14Keywords:
Decision Legitimacy, Algorithmic Authority, Human Judgment, AI-Enabled Organizations, Theoretical FrameworkAbstract
This study develops a theoretical framework explaining decision legitimacy in AI-enabled organizations as an emergent outcome of the interplay between algorithmic authority and human judgment. Drawing on institutional theory, socio-technical systems, and behavioral decision-making, it identifies procedural, distributive, and cognitive legitimacy as key dimensions. While AI enhances efficiency and consistency, legitimacy depends on transparency, explainability, and perceived fairness. Algorithmic authority may both strengthen and undermine legitimacy, whereas human judgment remains essential for contextual interpretation and accountability. The study advances multilevel propositions and outlines a research agenda for examining legitimacy in hybrid human–AI decision systems.
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