An introduction to genetic algorithms
An introduction to genetic algorithms
Adaptation on rugged landscapes
Management Science
Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Organizational Design, Information Transfer, and the Acquisition of Rent-Producing Resources
Computational & Mathematical Organization Theory
The Coevolution of New Organizational Forms
Organization Science
Reproducing Knowledge: Replication Without Imitation at Moderate Complexity
Organization Science
Adaptation as Information Restriction: The Hot Stove Effect
Organization Science
Being Efficiently Fickle: A Dynamic Theory of Organizational Choice
Organization Science
Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies
Organization Science
Recombinant Uncertainty in Technological Search
Management Science
Imitation of Complex Strategies
Management Science
From T-Mazes to Labyrinths: Learning from Model-Based Feedback
Management Science
Speed and Search: Designing Organizations for Turbulence and Complexity
Organization Science
A Behavioral Theory of the Firm---40 Years and Counting: Introduction and Impact
Organization Science
Small Worlds and Regional Innovation
Organization Science
Geography, Networks, and Knowledge Flow
Organization Science
Organizational Learning: From Experience to Knowledge
Organization Science
The effects of network characteristics on performance of innovation clusters
Expert Systems with Applications: An International Journal
Parametric interdependence, learning-by-doing, and industrial structure
Computational & Mathematical Organization Theory
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The classic trade-off between exploration and exploitation in organizational learning has attracted vigorous attention by researchers over the last two decades. Despite this attention, however, the question of how firms can better maintain the balance of exploration and exploitation remains unresolved. Drawing on a wide range of research on population and organization structure, we argue that an organization divided into semi-isolated subgroups may help strike this balance. We simulate such an organization, systematically varying the interaction pattern between individuals to explore how the degree of subgroup isolation and intergroup connectivity influences organizational learning. We also test this model with a range of contingency variables highlighted in the management research. We find that moderate levels of cross-group linking lead to the highest equilibrium performance by enabling superior ideas to diffuse across groups without reducing organizational diversity too quickly. This finding is remarkably resilient to a wide range of variance in factors such as problem complexity, environmental dynamism, and personnel turnover.