Collaborative Research--Content, Structure, and Governance in an Innovation Network: An Empirical Investigation

协作研究——创新网络中的内容、结构和治理：实证研究

• 批准号: 0323225
• 负责人: Ravindranath Madhavan
• 金额: $ 18.14万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2006-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0323225&HistoricalAwards=false
• 关键词: Collaborative; Research; Content; Structure; Governance

What factors make an innovation network effective? As both corporations and not-for-profit organizations increasingly embrace innovation networks, understanding how to manage such complex entities more effectively is crucial. However, given that the concept of an innovation network is a relatively recent phenomenon of interest in organization theory and strategy, the day-to-day mechanics of structuring and managing them optimally are yet to be fully explicated. The broader literature on organizational networks has focused on three primary elements: network structure (the pattern of interorganizational ties that constitute the network), network content (the resources that flow through the ties), and network governance (the set of formal and informal institutional and contractual ties that serve to keep the network functioning as a coherent whole). While each of these three elements is crucial to the effectiveness of an innovation network, they have hitherto been studied mostly in isolation from each other. In contrast, our primary research goal is to understand how network structure, content, and governance interact to jointly influence the effectiveness of an innovation network. Given that the influence of structure, content, and governance has been rarely examined jointly, our approach will be to develop, refine, and pilot-test a robust model of such joint influence in an appropriate innovation network. The empirical context for this stage of the study is Pratham, a Universal Primary Education network in India with an established track record as an innovator in the development and delivery of educational programs. The research effort will focus on three key data components: a detailed mapping of the network's 23 centers, with the goal of capturing the structure and content dimensions; a set of semi-structured interviews with network participants to identify the network governance; and a set of detailed analyses tracking how specific innovations have fared in each of the structure-content-governance configurations across the centers.

哪些因素使创新网络有效？随着公司和非营利组织越来越多地拥护创新网络，了解如何更有效地管理此类复杂实体至关重要。但是，鉴于创新网络的概念是组织理论和战略中感兴趣的现象，因此尚未完全阐明结构和管理它们的日常机制。关于组织网络的更广泛的文献集中在三个主要要素上：网络结构（构成网络的组织间关系模式），网络内容（通过纽带流动的资源）和网络治理（正式和非正式的机构和合同关系集合，这些纽带有助于保持网络作为连贯的整体发挥作用）。尽管这三个要素中的每个要素对于创新网络的有效性至关重要，但迄今为止，它们主要是彼此隔离的。相反，我们的主要研究目标是了解网络结构，内容和治理如何相互作用以共同影响创新网络的有效性。鉴于很少共同检查结构，内容和治理的影响，我们的方法将是在适当的创新网络中开发，完善和试点测试这种共同影响的强大模型。这项研究阶段的经验背景是Pratham，Pratham是印度的普遍初等教育网络，其既定记录是发展和提供教育计划的创新者。研究工作将集中在三个关键数据组件上：网络23个中心的详细映射，目的是捕获结构和内容维度；与网络参与者进行的一系列半结构化访谈，以识别网络治理；一组详细的分析跟踪跟踪特定创新的方式在整个中心的每个结构 - 政府构型中都表现出来。