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、创建并广泛解释了一个大型国际组织间合作协议数据库。该数据库侧重于研究和技术伙伴关系 (RTP)，它构成了所有基于创新的战略联盟的重要子集，主要关注技术知识的生成、交换、适应和利用。基于网络分析来理解 RTP 作为一个要素关于创新系统，该研究：（1）对属于 RTP 范畴的组织间活动的潜在范围进行分类（例如，正式/非正式、股权/非股权、补贴/非补贴、国家/国际、横向/非横向）并制定在有数据的情况下可以解决的政策相关问题； (2) 开发基于输入、输出和成果指标的数据收集和数据库形成技术； (3) 创建一个位于美国的国家和国际 R​​TP 数据库，该数据库专门用于解决与联盟网络在经济组织和部门之间以及跨经济体信息流中的作用相关的政策问题； (4) 将数据库链接到可用于解决信息流网络问题的其他可用数据源； (5) 从数据库中定义和验证与 RTP 相关的、对政策目的有用的科学和工程指标； (6) 就与 RTP 信息收集相关的可能调查问题向 NSF 提供建议。该研究以网络方法为基础，依靠流行的新闻信息以及财务披露和共同专利活动来识别 RTP 并构建数据库。 用于构建数据库并从而促进数据解释的分析技术借鉴了与网络相关的评估方法。 特别重要的是确定与 RTP 形成相关的投入、RTP 的创新相关产出以及与这些产出相关的溢出结果。 基于创新过程的现有模型以及政策在该过程中的作用，从数据中制定了一套科学技术指标，并研究了这些指标与行业知识库及其技术复杂性的关系通过统计来验证数据库的政策相关性。研究的最终产品将通过各种渠道广泛传播。最重要和最持久的网站将是专门为 RTP 数据库设计的网站，包括访问标准指标菜单和视觉辅助工具的设施，以及下载带有特定查询的数据的可能性。另一个重要渠道将是计划举办的国际专家研讨会，届时将推出数据库，讨论主要分析问题，并讨论未来的步骤。第三种传播渠道是通过教学、博士和硕士论文、学术和政策论坛的演讲以及经济、商业和政策期刊上的出版物。