Computational & Mathematical Organization Theory
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Three Controls are Better than One: A Computational Model of Complex Control Systems
Computational & Mathematical Organization Theory
Extending the Cyert-March Duopoly Model: Organizational and Economic Insights
Organization Science
Reproducing Knowledge: Replication Without Imitation at Moderate Complexity
Organization Science
Adaptation as Information Restriction: The Hot Stove Effect
Organization Science
Computational Laboratories for Organization Science: Questions, Validity and Docking
Computational & Mathematical Organization Theory
Balancing and Rebalancing in the Creation and Evolution of Organizational Control
Organization Science
Computational Modeling of Organizations Comes of Age
Computational & Mathematical Organization Theory
Speed and Search: Designing Organizations for Turbulence and Complexity
Organization Science
Two Faces of Search: Alternative Generation and Alternative Evaluation
Organization Science
Interdependency, Competition, and Industry Dynamics
Management Science
Hoping for A to Z While Rewarding Only A: Complex Organizations and Multiple Goals
Organization Science
PERSPECTIVE---Collective Intelligence in the Organization of Science
Organization Science
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In this essay, we examine what-is, what-might-be, and what-should-be computational models where the purpose is to explore new concepts, ideas, boundaries, and limitations going beyond what we know at the moment. Computational models complement well with other approaches: ethnographies, field studies, human subject lab studies, and surveys in novel triangulations. Triangulation of two or more complementary approaches permits us to broaden and deepen our understanding and insights.