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Management of Technology in Disruptive Accumulation by Persistent Innovators : Study on innovation management of Japanese firms.

持续创新者颠覆性积累中的技术管理：日本企业创新管理研究。

基本信息

批准号：
16330076
负责人：
KODAMA Fumio
金额：
$ 9.15万
依托单位：
Shibaura Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

项目摘要

We have found that a standardized SGML data provided by the Japanese Patent Office should be useful for an analysis of a long term technological strategy of firms although it only accumulates bibliographic information. We got these data ready to an available format for studies and built relational database. The database which we built included much information such as patent citation, article citation (science linkage) besides a technology classification, a patent right maintenance period on the date of information, inventor information, applicant information, the number of claims, request for exam and registration, and so on. We analysed this data from various Viewpoints. Papers such as "Innovation and fundamental researches in a firm", "Analysis of propensity to patent and science-dependence of large Japanese manufacturers of electrical machinery", "Analysis of mainstream business recurrence and new technical uptake of Japanese firms", "Study on a diversification of research and development and relationship to knowledge proximity characteristics" are utilizing findings form a quantitative analysis of the data. We have examined in particular about a relationship of technology and science using evidences from patent data. Those results are summarized in "Measurement of science linkage in the field of important 4 fields", "Significant difference of dependence upon scientific knowledge among different technologies".Evidence based innovation study is seemed to be one of the emerging research foci in these days. Our databases should greatly contribute to an advancement of this research field.

我们发现，日本专利局提供的标准化SGML数据应该对企业的长期技术战略分析有用，尽管它只是积累书目信息。我们将这些数据整理成可用于研究的格式，并建立了关系数据库。该数据库除包含技术分类信息、专利权维护期限信息、发明人信息、申请人信息、权利要求数量、审查请求和注册请求等信息外，还包括专利引文、文献引文（科学链接）等信息。我们从不同的角度分析了这些数据。《企业的创新与基础研究》、《日本大型电机制造商的专利倾向与科学依赖分析》、《日本企业的主流业务重现与新技术吸收分析》、《研究开发的多元化及其与知识接近特征的关系研究》等论文均利用了数据的定量分析结果。我们利用专利数据中的证据特别研究了技术与科学的关系。这些结果总结在“4个重要领域领域的科学联系测度”、“不同技术之间对科学知识依赖的显著差异”。基于证据的创新研究似乎是当今新兴的研究热点之一。我们的数据库将为这一研究领域的发展做出巨大贡献。