Collaborative Research: DAT and MOD: The Division of Innovative Labor

合作研究：DAT 和 MOD：创新劳动的分工

• 批准号: 0830248
• 负责人: John Walsh
• 金额: $ 5.77万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0830248&HistoricalAwards=false
• 关键词: Collaborative; Research; DAT; MOD; Division

Innovation is becoming more open, often involving multiple organizations in a division of innovative labor (DoIL). The division of innovative labor in the economy is conceived of as the distribution across firms and other organizations of the following steps in the innovation process: 1) research/idea generation; 2) development; and 3) commercialization. Despite its importance, there is little broad-based, systematic evidence on the extent or nature of the DoIL, nor on its impact on firm performance or the rate of technical advance. The project collects the first systematic data on the DoIL for the United States by surveying over 20,000 firms in manufacturing and selected service industries,. The collected data quantifies key features of the DoIL. It also provides the basis for developing and empirically testing models of the DoIL and its effects on innovative performance. The project addresses a number of important questions, such as the extent to which startups, as compared to established firms, are generators of new ideas, the importance of universities as sources of industrial innovation, and the extent to which firms' use of external knowledge inputs increases their innovative performance. Finally, the research advances the economics of innovation by generating formal models that capture the DoIL and testing those models empirically.Broader Impacts: This project is the first national effort to collect data on innovative activity generally, going beyond R&D and patenting. It is an important addition to the data infrastructure required for a science of science and innovation policy. By generating new data on innovative activity, creating new metrics, and developing new models of the innovation process, the research also informs both public policy and firm strategy. The research should contribute to deliberations on intellectual property policy and policies on standards and cooperative research and development agreements that potentially affect the growth of technology markets and the DoIL. By highlighting the role of small firms, startups, and universities in the innovation process, the findings should also help inform federal support to university research and new firm formation. The project findings should also contribute to the federal government's ongoing efforts to improve its collection of data on industrial R&D and innovation. The research also contributes to the management of innovation by highlighting the returns to extramural knowledge sourcing, or strategic alliances formed to develop or commercialize new technologies.

创新变得越来越开放，常常使多个组织参与创新劳动（Doil）。 经济中创新劳动的划分被认为是创新过程中以下步骤的公司和其他组织之间的分布：1）研究/思想产生； 2）发展； 3）商业化。 尽管它的重要性很重要，但几乎没有关于二元的程度或性质的基于广泛的系统证据，也没有对公司绩效或技术进步速度的影响。 该项目通过调查了20,000多家制造业和选定的服务行业的公司，收集了美国DOIL的第一个系统数据。 收集的数据量化了多伊尔的关键特征。 它还为开发和经验测试多伊尔的模型及其对创新性能的影响提供了基础。 该项目解决了许多重要问题，例如与成熟的公司相比，初创公司是新思想的发生者，大学作为工业创新的重要性以及公司对外部知识投入的使用程度增加了其创新绩效的程度。最后，该研究通过产生捕获多伊亚利并经验测试这些模型的正式模型来推动创新的经济学。Boader的影响：该项目是总体上收集有关创新活动数据的第一个全国性努力，超越了研发和专利。这是科学与创新政策科学所需的数据基础架构的重要补充。 通过生成有关创新活动的新数据，创建新的指标并开发创新过程的新模型，该研究还为公共政策和公司战略提供了信息。 这项研究应促进有关知识产权政策以及有关标准和合作研究与发展协议的政策的审议，这些协议可能会影响技术市场和多伊尔的增长。 通过强调小公司，初创企业和大学在创新过程中的作用，这些发现还应帮助联邦政府对大学研究和新公司形成的支持。 该项目的发现还应为联邦政府持续的努力做出贡献，以改善其工业研发和创新数据的收集。 这项研究还通过强调旨在开发或商业化新技术的战略联盟的回报来促进创新的管理。