Different subsets of social networks may explain knowledge sharing outcomes in different ways. One subset may counteract another subset, and one subset may explain one outcome but not another. We found support for these arguments in an analysis of a sample of 121 new-product development teams. Within-team and interunit networks had different effects on the outcomes of three knowledge-sharing phases: deciding whether to seek knowledge across subunits, search costs, and costs of transfers. These results suggest that research on knowledge sharing can be advanced by studying how multiple networks affect various phases of knowledge sharing.

A ddressing the call for a deeper understanding of ambidexterity at the individual level, we propose that managers' networks are an important yet understudied factor in the ability to balance the trade-off between exploring for new business and exploiting existing business. Analyses of 1,449 ties in the internal and external networks of 79 senior managers in a management consulting firm revealed significant differences in the density, contact heterogeneity, and informality of ties in the networks of senior managers who engaged in both exploration and exploitation compared with managers that predominately explored or exploited. The findings suggest that managers' networks are important levers for their ability to behave ambidextrously and offer insights into the microfoundations of organizational ambidexterity.

This paper explores how individual managers in multinational firms utilize their informal relations to create new knowledge. Specifically, how does the density of informal networks affect an actor's ability to access and integrate diverse information and consequently that actor's innovation performance? The arguments are developed using the setting of 79 senior partners in a global management consulting firm and tested on a dataset of 1,449 informal relationships. I distinguish between internal, external, local, and global relations and find that this separation permits a more nuanced understanding of the effect of network structure on innovation performance. Specifically, I argue that the most effective network strategy is contingent upon the context in which the partners operate. The findings show that partners operating in homogeneous contexts, where the primary challenge is to access diverse information, benefit from low-density networks. In contrast, when crossing both firm and geographic boundaries, partners with dense networks have higher innovation performance. I argue that in such heterogeneous contexts, dense network interactions facilitate partners' ability to integrate the diverse information to which they are exposed.

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This paper explores how individual managers in multinational firms