Simulation-based analysis uncovers structural conditions essential for transformation in organizations, indicating new insights for future studies.
Existing theories of organizational transformation emphasize environmental shocks, leadership triggers, or strategic imbalance, yet remain imprecise about the structural conditions under which destabilization results in transformation rather than compensation or collapse. This paper proposes a configurational threshold theory of operative transformation. We introduce a four-dimensional coordination space—comprising environmental coupling, temporal structuring, internal integration, and operative ordering capacity—and argue that structural recoding becomes more probable under multi-axis decoupling rather than isolated destabilization. Crucially, we identify operative ordering capacity as a necessary enabling condition: transformation is only possible when the system retains the capacity to implement a new selection logic. We formalize these claims as falsifiable propositions and test them through a simulation-based proof of concept, comparing prognostic performance against punctuated equilibrium and ambidexterity models. Results show that the coordination-space model prospectively differentiates transformation from collapse prior to outcome manifestation, while comparison models fail to distinguish these trajectories at the same prognostic time point. The theory is deliberately risk-bearing: empirical validation in field settings is the next step. We outline a pilot study design using a 26-item diagnostic instrument applicable at the team level.
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Jens Wellendorf (2026) studied this question.
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