Structural Theory of Management
Abstract
Structural Theory of Management (Version 1.0) Structural Theory of Management advances a systems-level account of persistent team failure grounded in hierarchical learning dynamics rather than individual traits or motivational explanations. The paper proposes that teams function as nested learning systems whose capacity for abstraction, autonomy, and strategic coordination depends on stabilization of prior learning. Central to the framework are three structural concepts: settling time (the convergence interval required for new roles or authority boundaries to stabilize), functional burial (the loss of operational salience and veto power of stabilized structures), and live substrate (the condition in which unresolved lower-layer learning retains decision authority and prevents abstraction). The paper further introduces environmental coherence as a necessary condition for settling completion and reframes management as coherence brokerage—the translation and buffering of authority signals across nested organizational layers. Common management phenomena—including authority bypass, chronic firefighting, retroactive evaluation, turnover fragility, and cross-team coordination breakdown—are interpreted as predictable consequences of disrupted settling time rather than as deficits of motivation, personality, or leadership character. Normative mechanisms (reviews, titles, procedures, reorganizations) are analyzed as conditional stabilizers whose effects depend on timing relative to structural stabilization. The framework is diagnostic rather than prescriptive. It does not propose optimal timelines, interventions, or performance metrics. Instead, it isolates governance conditions that must precede reliable abstraction and sustained coordination, offering a non-pathologizing lens for understanding both team failure and success.
Fields of Study & Subjects
Management Theory and Practice
Team Dynamics and Performance
Leadership and Management in Organizations
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 23 February 2026
- Language
- EN