Problemistic search

Problemistic search is the decision-making pattern, introduced by Richard Cyert and James March in their behavioral theory of the firm, in which organizations search for solutions only when a problem becomes salient — when actual performance falls below an aspiration level. Search is not continuous optimization; it is triggered, local, and path-dependent. A firm does not survey all possible alternatives when faced with a difficulty; it looks for a fix to the specific problem at hand, and it looks near where it has looked before.

This explains several empirically observed organizational behaviors: the persistence with inferior technologies until crisis forces change, the adoption of incremental rather than radical solutions, and the tendency to copy competitors' practices rather than invent new ones. Problemistic search is not irrational. It is the organizational equivalent of satisficing: a computationally tractable strategy for complex environments where the cost of comprehensive search exceeds its benefit.

The concept connects to Local search in optimization theory and to the study of Incremental innovation in management theory. It also suggests that organizational learning is not cumulative and forward-moving but episodic and reactive — a pattern that may explain why firms often fail to anticipate disruptions until it is too late.