Network Learning: The Effects of Partners' Heterogeneity of Experience on Corporate Acquisitions

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Abstract
To examine the effects of interorganizational network structures on acquisition decisions, we propose a model whereby firms learn by sampling the diverse experiences of their network partners. We tested this model by examining the effect of diversity of network partners' experience on firms' acquisition decisions, using data on acquisition premiums and acquirers' stock market performance from 1986 to 1997. Results show that firms tied to others with heterogeneous prior premium experience tend to pay less for their acquisitions and have better-performing acquisitions than those tied to others with homogeneous experience. Firms also pay lower premiums when their network partners (1) have completed deals of diverse sizes, (2) have unique information, and (3) are themselves of diverse sizes. Firms that have multiplex relationships with their partners receive even more benefit. The results extend prior research on networks and learning by showing that collective network experience affects firms' decision quality.