Dynamic Capabilities Measurement

Ordinary capabilities and resources let a firm perform current operations efficiently -- they answer 'how well do we do today's job?' Dynamic capabilities are higher-order: they let the firm change its resource base as conditions change, answering 'how well can we transform?' Teece, Pisano, and Shuen frame them as the capacity to integrate, build, and reconfigure competences. The distinction is why measurement separates them: a firm can score high on operational capability yet low on dynamic capability and still decline when its environment shifts, which is precisely the phenomenon the construct was created to explain.

Teece's 2007 explication treats dynamic capability as one overarching ability expressed through three processes -- sensing, seizing, and reconfiguring -- rather than as a single homogeneous trait. A second-order measurement model captures this by letting items load on their specific dimension and the three dimensions load on a superordinate factor. This structure tests whether the dimensions share a common underlying capability or are better treated as distinct, and it yields both dimension-level and composite scores. Modeling it as a flat unidimensional scale would misrepresent the theory and obscure where a firm's strength or weakness lies.

The theory holds that the value of dynamic capabilities depends on the rate of environmental change. In stable settings, the routines and slack needed to sense, seize, and reconfigure may cost more than they return, while in turbulent settings they are what keep the firm aligned with shifting demand and technology. Teece's framework therefore predicts a contingent rather than universal payoff. Empirically, this is tested with an interaction between the dynamic-capability score and a measure of dynamism; a positive interaction supports the construct's central claim, whereas a strong unconditional main effect can even raise concern that the measure is capturing general managerial quality instead.