Understanding network formation in strategy research: Exponential random graph models

摘要: Research summary: This article uses Exponential Random Graph Models (ERGMs) to advance strategic management research, focusing on an application board interlock network tie formation. Networks form as the result of actor attributes well through influence existing ties. Conventional regression models require assumptions independence between observations, and fail incorporate endogenous structural effects observed network. ERGMs represent a methodological innovation for formation research given their ability model along with processes. We illustrate these advantages by modeling among Fortune 100 firms. also demonstrate how offer significant opportunities extend strategy open new pathways in multiparty alliances, microfoundations interorganizational formation, multiplexity ties actors. Managerial Social networks are increasingly important business world, not only individuals but organizations. Firms can obtain information, resources, status external connections, understanding outside is goal research. Our paper helps this effort introducing tool social analysis, fields. provide example method, demonstrating companies when they hire common directors boards. Executives benefit from greater corporate relationships built allies competitors. Copyright © 2015 John Wiley & Sons, Ltd.