Turn theoretical ideas about decision making into testable, real‑world insights. This excerpt outlines a path to connect how individuals decide with how organizations behave, using simulation as a method to test and refine theories. It presents a postulate of invariance between individual and organizational decision processes as a way to translate findings across levels.

The discussion frames a practical approach: build a model from a theory, translate it into a computer‑readable form, run simulations, and compare results with actual decision makers. It also addresses how to judge whether a model matches observed behavior, and why numerical measures alone aren’t enough. The aim is a coherent, empirical theory of organizational behavior that researchers can test and refine.

Learn how a theory of individual decision making can inform organizational theories.

See how simulation can generate empirical predictions and reveal model strengths and limits.

Understand challenges in evaluating model fit, including when to rely on qualitative judgment versus statistics.

Explore how invariance between decision processes across levels can guide hypothesis testing.

Ideal for readers of scholarly work on organizational theory and the methodology of social science research.

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