Integrating insights from cognitive psychology into current network theory on the social capital of brokering and closed networks, we argue that cognitive style is a critical contingency explaining the relation between social network position and innovative performance. Based on a "complementary fit" argument, we posit that a social network rich in structural holes enhances the innovative performance of employees with an Adaptive cognitive style; however, individuals with an Innovative cognitive style are most innovative when embedded in a closed network of densely interconnected contacts. Using data on the individual cognitive style and complete workplace social network of all employees within a small design and manufacturing firm (N=68), we show that our theorized contingency mechanism accounts for a large share of empirical variation in employee innovative performance over and above existing social network explanations.
AcknowledgmentWe would like to thank Stefano Brusoni, Martin Goossen, Gudela Grote, Eric Quintane, and participants in the 1st Workshop on the Micro-foundations of Social Networks (CBS, Denmark), for their comments and suggestions. We are grateful to Valentina Iannuzziello, who provided research assistance during the data collection and initial phase of this project as part of her final MA thesis. Finally, we thank the editor and three anonymous reviewers for their thorough and constructive feedback.
Abstract:Integrating insights from cognitive psychology into current network theory on the social capital of brokering and closed networks, we argue that cognitive style is a critical contingency explaining the relation between social network position and innovative performance. Based on a "complementary fit" argument, we posit that a social network rich in structural holes enhances the innovative performance of employees with an Adaptive cognitive style; however, individuals with an Innovative cognitive style are most innovative when embedded in a closed network of densely interconnected contacts. Using data on the individual cognitive style and complete workplace social network of all employees within a small design and manufacturing firm (N=68), we show that our theorized contingency mechanism accounts for a large share of empirical variation in employee innovative performance over and above existing social network explanations.