Organizing the Firm for Innovation: A Bridge Between Innovation Strategy and Implementation

创新是企业增长的重要源泉，无论是开发需要雇用更多员工的新产品，还是引入允许扩展到不同市场的新服务。公司面临的一个关键挑战，也是本研究的目标，是更好地了解组织选择如何与项目成功的可能性相关。这些选择包括，例如，是否为项目经理提供具体目标和一般目标、将项目分配给现有组织单位和新组织单位、授予项目经理的自主权程度，以及项目执行所需的所有资源是最初分配还是随着里程碑的满足而逐步分配。对这些选择的影响的研究将有助于指导战略决策以及与项目实施相关的管理实践。参与科学技术资助的政策制定者和项目管理者将深入了解企业如何有效组织创新。该研究是与一系列不同行业的领先企业一起进行的。每个参与组织都选择了成功和失败的项目进行研究，以确保项目结果的变化。该研究包括开发一种调查工具，该工具将应用于参与公司的 100 多个项目。统计分析将检查组织选择与创新项目结果之间的关系。独特的实证设置与多种数据收集方法相结合，将为学术研究、行业实践和创新政策做出重大贡献。

Innovation is an important source of growth for firms, whether it entails the development of new products that require hiring more employees or the introduction of new services that allow for expansion into different markets. A key challenge facing firms, and the goal of this research, is to better understand how organization choices are related to the likelihood of project success. These choices include, for example, whether project managers are provided specific versus general goals, the assignment of projects to existing vs new organizational units, the degree of autonomy granted to project managers, and whether all the resources needed for project execution are allocated initially or over time as milestones are met. Research on the impact of these choices will assist in guiding strategic decisions as well as management practice related to project implementation. Policy makers and program administrators involved in the funding of science and technology will gain insight into how firms effectively organize for innovation.The research is conducted with leading firms across a range of different industries. Each of the participating organizations has selected projects for the study that are succeeding as well as failing in order to ensure variation in project outcomes. The research includes the development of a survey instrument that will be administered to over 100 projects across the participating firms. Statistical analyses will examine the relationships between organizational choices and innovation project outcomes. The unique empirical setting, when combined with multiple methods of data collection, will make a significant contribution to academic scholarship, industry practice, and innovation policy.