生产力
产业组织
网络动力学
业务
社交网络(社会语言学)
知识管理
社会网络分析
网络分析
营销
经济地理学
社会资本
经济
社会学
计算机科学
经济增长
工程类
社会化媒体
万维网
电气工程
离散数学
社会科学
数学
作者
Maxim Sytch,Adam Tatarynowicz
标识
DOI:10.5465/amj.2011.0655
摘要
Departing from prior research analyzing the implications of social structure for actors' outcomes by applying either an ego network or a global network perspective, this study examines the implications of network communities for the invention productivity of firms. Network communities represent dense and nonoverlapping structural groups of actors in a social system. A network community lens helps identify new ways to study firms' access to diverse knowledge inputs in a dynamic system of interorganizational relationships. Specifically, we examine how the membership dynamics of a network community affect the invention productivity of member firms by either enabling or constraining access to broad, diverse knowledge inputs. Our findings suggest, first, that a firm reaps the greatest invention benefits in a network community with moderate levels of membership turnover. Second, a firm attains the greatest invention productivity when its own rate of movement across different network communities is moderate. Third, we find that community members located in the core of their network community can benefit more from membership dynamics and prior community affiliations than those on its periphery. In empirical analyses, we use the evolving community structure of the network of interorganizational partnerships in the global computer industry over 1981–2001 to predict firms' patenting rates.
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