Certum quod factum: How formal models contribute to the theoretical and empirical robustness of organization theory

Paper highlights

A formal model forces a theory to state its assumptions, mechanisms, and implications precisely enough that another person can inspect the logic. That discipline can reveal contradictions, identify boundary conditions, and generate predictions that verbal reasoning alone may miss.

This commentary explains what mathematical and computational models contribute to organization theory and how to build papers around them. Formalization is not valuable because equations make a theory look rigorous. It is valuable when the model clarifies a consequential problem.

What formal models add

• They check whether a proposed explanation actually follows from its assumptions.
• They let researchers explore interactions and nonlinear effects that are difficult to track verbally.
• They create explicit theoretical objects that can be compared with evidence, extended, and reproduced.
• They can show that several apparently conflicting empirical findings are consistent with different parameter values or boundary conditions.

Guidance for modelers and readers

A useful model should have a clear contribution, strong motivation, the simplest structure that can answer the question, and enough detail to reproduce the results. Modeling papers should explain the mechanism in ordinary language rather than merely reporting that one variable rises with another. Code and assumptions should be available for technical scrutiny.

Why it matters

• Formalization makes the path from assumptions to implications inspectable and can reveal interactions that verbal reasoning misses.
• Robustness inside a model is theoretical robustness, not empirical support for the mechanism’s prevalence or importance.
• A useful formal model clarifies a consequential mechanism, its boundary conditions, and what becomes visible only after formalization.

How to use this paper

Cite this for

• A methodological argument for how formal models contribute to organization theory.
• The role of models in clarifying assumptions, mechanisms, implications, and boundary conditions.
• The distinction between theoretical robustness inside a model and empirical support outside it.

Useful for teaching

• How to read a formal modeling paper as a set of inspectable theoretical claims.
• Why the value of a model is not mathematical display but the mechanism it makes visible.
• What PhD students should explain when motivating, writing, and evaluating formal models.

Careful claim

Formal models can strengthen theory by making the logic from assumptions to implications explicit; robustness within a model does not by itself establish that the mechanism is prevalent in the world.

Abstract

The aim of this commentary is to show how the use of formal models—both closed form and computational—can improve theory development and theory testing in organization theory. I also provide practical suggestions (aimed at PhD students and researchers considering developing a formal model) for dealing with challenges in developing and writing a formal modeling paper. By uncovering how formal models contribute to organization theory and presenting the constraints that formal modeling papers are subject to, this commentary can also help consumers of modeling papers to extract more value from this research method.

Other links

• SSRN preprint

Last updated 2026-06-21