Conceptual framework proposes predictive leadership to enhance performance by managing followers' metabolic resources.
Purpose This paper introduces Predictive Leadership, a conceptual framework that integrates Implicit Leadership Theories (ILTs) with the neuroscience of allostasis (body energy regulation). It addresses a critical gap in social-cognitive leadership research by proposing a physiological explanation for follower behaviour. Specifically, it reframes resistance and bias not merely as cognitive rigidity, but as a “metabolic tax”—a protective response to the high energy cost of processing prediction errors. Design/methodology/approach This conceptual paper synthesises insights from Dual Process Theory (Kahneman) and Implicit Leadership Theory (Lord) with Constructed Emotion Theory (Barrett). It moves beyond descriptive accounts of how followers categorise leaders to a mechanistic explanation of why they do so: to manage metabolic resources efficiently. Findings The analysis posits that the brain functions as a prediction engine designed to minimise metabolic cost. When leader behaviours violate follower predictions (prototypes), it triggers a physiological stress response and “metabolic tax” that manifests as disengagement or resistance. The paper operationalises this science into four core leadership practices: Mapping Past Experience (The Geology), Proactive Current State Awareness (The Weather), Reactive Monitoring of Prediction Error (The Diagnostic), and Scaffolding Future Predictions (The Architecture). Research limitations/implications As a conceptual proposition, the framework requires empirical testing. Future research should examine the longitudinal impact of prediction management strategies on follower metabolic resources (e.g. burnout reduction) and the recalibration of implicit prototypes. Practical implications The framework shifts leadership focus from reactive behavioural correction to the proactive management of upstream expectations. It provides specific tools, such as the “Safety Prediction Index” and “Mismatch Debrief”, to help leaders reduce the metabolic cost of change, fostering psychological safety and sustainable performance. Originality/value This paper responds to calls for stronger theoretical differentiation in leadership models. By anchoring ILTs in the biological reality of allostasis, it offers a novel, physiologically grounded explanation for the persistence of leadership prototypes and provides a prescriptive pathway for leaders to manage the “energy economy” of their teams.
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Butko et al. (2026) studied this question.
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