Research and Technology Partnerships: Quantifying Strategic Relationships

研究和技术合作伙伴关系：量化战略关系

• 批准号: 0738112
• 负责人: Nicholas Vonortas
• 金额: $ 34.55万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0738112&HistoricalAwards=false
• 关键词: Research; Technology; Partnerships; Quantifying; Strategic

This study defines, creates and broadly interprets a large international database of inter-organizational collaborative agreements. The database focuses on research and technology partnerships (RTPs), which constitute an important subset of all innovation-based strategic alliances focusing primarily on the generation, exchange, adaptation, and exploitation of technical knowledge.Building upon network analysis to understand RTPs as an element of the innovation system, the study: (1) sets forth a taxonomy of the potential scope of inter-organizational activities that fall under the rubric of RTPs (e.g., formal/informal, equity/non-equity, subsidized/non-subsidized, national/international, horizontal/non-horizontal) and formulate policy-related questions that can be addressed if data were available; (2) develops a data collection and database formation technique based on input, output, and outcome indicators; (3) creates a U.S.-based database of national and international RTPs that is structured specifically for addressing policy questions related to the role of alliance networks in information flows among organizations and sectors in the economy and across economies; (4) links the database to other available data sources that can be utilized to address networks in information flows; (5) defines and validate from the database science and engineering indicators related to RTPs useful for policy purposes; and (6) advises the NSF on possible survey questions relevant for the collection of information on RTPs. Building on network methodology, the study relies on popular press information, as well as on financial disclosures and co-patenting activity, to identify RTPs and to construct the database. The analytical techniques that are used to construct the database, and thus to facilitate interpretation of the data, draw from evaluation methodology as related to networks. Of particular importance is the identification of inputs related to the formation of an RTP, innovation-related outputs from the RTP, and the spillover outcomes associated with those outputs. Based on extant models of the innovation process and the role of policy in that process, a set of science and technology indicators is developed from the data, and the relationship of those indicators to the knowledge base of industries and the complexity of their technologies is investigated statistically to validate the policy relevance of the database.The final products from the study will be widely disseminated through various channels. The most important and long-lasting one will be a specially designed website for the RTP database, including facilities to access a standard menu of indicators and visual aids as well as the possibility for downloading data with specific queries. Another important channel will be the planned international expert workshop where the database will be rolled out, major analytical questions will be debated, and future steps will be discussed. A third channel of dissemination will be through teaching, doctoral and masters dissertations, presentations to academic and policy forums, and publications in economics, business, and policy journals.

这项研究定义，创建并广泛解释了组织间协作协议的大型国际数据库。 The database focuses on research and technology partnerships (RTPs), which constitute an important subset of all innovation-based strategic alliances focusing primarily on the generation, exchange, adaptation, and exploitation of technical knowledge.Building upon network analysis to understand RTPs as an element of the innovation system, the study: (1) sets forth a taxonomy of the potential scope of inter-organizational activities that fall under the rubric of RTPs （例如，正式/非正式，股权/非股权，补贴/非补贴，国家/国际，水平/非居民），并提出与政策相关的问题，如果有可用的数据，可以解决这些问题； （2）根据输入，输出和结果指标，开发数据收集和数据库形成技术； （3）创建一个基于美国的国家和国际RTP的数据库，该数据库是专门针对解决与联盟网络在组织和经济中各个经济体之间信息流中的作用相关的政策问题的； （4）将数据库链接到其他可用的数据源，这些数据源可用于解决信息流中的网络； （5）从与RTP相关的数据库科学和工程指标定义和验证对政策目的有用； （6）就与RTP的信息收集有关的可能的调查问题建议NSF。在网络方法论的基础上，该研究依赖于流行的新闻信息，以及财务披露和共同尊重活动，以识别RTP并构建数据库。 用于构建数据库的分析技术，从而促进与网络相关的评估方法中借鉴数据的解释。 特别重要的是鉴定与RTP形成，与创新相关的输出以及与这些输出相关的溢出结果相关的输入。 基于创新过程的现有模型和政策在该过程中的作用，从数据中开发了一组科学和技术指标，这些指标与行业知识基础的关系以及其技术的复杂性的关系得到了统计研究，以验证数据库的政策相关性。研究的最终产品将主要通过各种通道分发。最重要，最持久的网站将是一个专门设计的RTP数据库网站，包括访问指标和视觉辅助设备菜单的设施，以及使用特定查询的数据下载数据的可能性。另一个重要的渠道将是计划中的国际专家研讨会，该研讨会将在该研讨会上推出，将讨论重大的分析问题，并将讨论未来的步骤。传播的第三个渠道将是通过教学，博士学位和硕士学位论文，对学术和政策论坛的演讲以及经济学，商业和政策期刊的出版物。