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WP-01-09

Social Networks and Knowledge Transfer in Debt
Markets: An Embeddedness Approach

Brian Uzzi and Ryon Lancaster

Abstract

As a complement to the learning literature that focuses on the benefits of formal governance arrangements within and between firms for knowledge transfer, we investigate how informal social relationships and networks promote learning and knowledge transfer. Drawing on social embeddedness theory, we argue that embeddedness creates unique transfer and learning benefits between transactors that facilitate the transfer of private information and motivate exchange partners to ascertain mutual gains through Pareto improved exchanges. We examined our argument in the context of lending transactions among midmarket banks and firms — a lucrative yet understudied financial market. To develop our framework, we conducted original fieldwork at 11 Chicago banks and then examined its representativeness using statistical analyses of two national random samples of small- to medium-sized business. We find that firms tied to their lender through embedded ties and with a network of bank ties that is composed of a complementary mix of embedded and arm’s-length ties are less likely to have collateral taken, pay large spreads, or both, as conditions of their loans. These results indicate that informal social relationships and networks can provide important conduits for interfirm knowledge transfer and learning that are absent in either formal governance mechanisms within or between firms.

Brian Uzzi, Kellogg Graduate School of Management and Department of Sociology, Northwestern University
Ryon Lancaster, Kellogg Graduate School of Management and Department of Sociology,
Northwestern University



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