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EXPLORING THE LOCUS OF INVENTION: THE DYNAMICS OF NETWORK COMMUNITIES AND FIRMS' INVENTION PRODUCTIVITY

机译:探索发明的地方:网络社区的动态和企业的发明生产率

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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.
机译:不同于先前的研究通过应用自我网络或全球网络的角度分析了社会结构对行为者结果的影响,本研究考察了网络社区对企业发明生产率的影响。网络社区代表社会系统中参与者的密集且不重叠的结构性群体。网络社区的镜头有助于确定新方法,以研究企业在动态的组织间关系系统中获得各种知识输入的途径。具体来说,我们研究了网络社区的成员资格动态如何通过启用或限制对广泛多样的知识输入的访问来影响成员公司的发明生产率。我们的发现表明,首先,公司在会员流失中等的网络社区中获得了最大的发明收益。其次,当一家公司在不同网络社区中的移动速度适中时,其发明生产率最高。第三,我们发现位于网络社区核心的社区成员比其外围社区成员可以从成员动态和先前的社区隶属关系中受益更多。在实证分析中,我们使用1981-2001年间全球计算机行业组织间伙伴关系网络的不断发展的社区结构来预测公司的专利率。

著录项

  • 来源
    《Academy of Management Journal》 |2014年第1期|249-279|共31页
  • 作者

    MAXIM SYTCH; ADAM TATARYNOWICZ;

  • 作者单位

    University of Michigan;

    Tilburg University;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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