Lost in transition?: How network structure affects knowledge loss in interpersonal knowledge-sharing ties

In this paper, we study knowledge loss as a theoretical concept novel to the knowledge transfer literature by focusing on 3,429 knowledge sharing ties among 330 employees in a data solution company and considering network features associated with incomplete transfers of knowledge from a source to a recipient. Results indicate that that while strength of direct ties does reduce the amount of knowledge lost in interpersonal exchanges, network range (i.e. ability to connect with otherwise disconnected others) increases it. Tie strength further moderates the relationship between network range and knowledge loss. By observing a ?cost? to network range in terms of lost knowledge, we suggest that more attention should be paid not only to the advantages, but also to the liabilities associated with different network positions. Theoretical and practical implications for knowledge management are discussed.