• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2023, Vol. 41 ›› Issue (5): 865-873.

• 科技管理与知识管理 • 上一篇    下一篇

研发人员专利信息利用的影响因素研究

代志在1,朱雪忠1,徐晨倩2   

  1. 1. 同济大学
    2. 同济大学经济与管理学院
  • 收稿日期:2022-09-22 修回日期:2022-11-16 出版日期:2023-05-15 发布日期:2023-05-15
  • 通讯作者: 朱雪忠
  • 基金资助:
    国家重大科技产业项目知识产权安全风险监测预警与防控体系

Research on the influencing factors of utilization of patent information by R&D personnel

  • Received:2022-09-22 Revised:2022-11-16 Online:2023-05-15 Published:2023-05-15

摘要: 促进技术信息传播是专利制度的核心目标之一。然而,仅有少量文献为专利信息的披露效应提供了经验证据。现有文献与调查数据显示,部分研发人员并未将专利文献作为技术信息的主要来源,这与理论和制度预期相反。本研究基于计划行为理论与信息质量理论,对创新过程中研发人员的专利信息利用影响因素进行了探究。研究发现,行为意愿和知觉行为控制是专利信息利用行为的重要影响因素;行为态度、主观规范和知觉行为控制对专利信息利用意愿有正向影响;感知相关性、感知可靠性对行为态度有正向影响;而易于理解性与行为态度之间的关系并不显著。这一研究结果加深了现有研究对研发人员专利信息利用行为的理解,可为政府优化专利信息利用政策、完善专利披露相关制度提供指引。

Abstract: Promoting the dissemination of technical information is one of the core objectives of patent system. However, the available survey data show that some researchers do not use patent literature as a source of technical information during the innovation process, which is contrary to the theoretical and institutional expectations. The existing literature related to patent information utilization mainly focuses on the problems of the patent disclosure system, whether patents disclose useful information, as well as the disclosure effects of the patent system. Nevertheless, whether R&D personnel make use of patent information and why they use or do not use patents remained unexplored. This study investigated the factors influencing R&D personnel’s patent information utilization behavior by integrating the theory of planned behavior model and information adoption model. More specifically, the research questions include: (1) what are the factors that affect R&D personnel’s patent information utilization behavior? (2) How do these factors interact with each other? (3) What is the relative importance of these factors’ impact on the patent information utilization behavior. Through investigating R&D personnel in universities and companies, and adopt PLS-SEM model, this paper found that: (1) perceived relevance and perceived credibility have positive influence on attitude toward patent information utilization, while ease of understanding exerts no effect on patent information utilization; (2) attitude toward patent information utilization, subjective norm and perceived behavioral control have positive influence on behavioral intention. Among them, attitude toward patent information utilization is the most important variable in the formation of behavioral intention, followed by subjective norm and perceived behavioral control in sequence; (3) behavioral intention and perceived behavioral control are important influencing factors of patent information utilization behavior. These results deepen our understanding of R&D personnel’s patent information utilization decision and provides guidelines for the government to promote patent information utilization. To specify, first, policy makers should take measures to strengthen the quality review of patent disclosures and guide R&D personnel to develop a positive attitude toward the use of patent information. Moreover, the government should formulate structured policies to support the utilization of patent information and adopt standardized disclosure formats and language to enhance the ease of understanding of patent texts. Furthermore, the government can promote the formation of social norms of patent information utilization by R&D personnel through various means such as industry associations, academic conferences as well as case publicity. In addition, the government should improve the accessibility of patent information resources and enhance the patent information utilization ability of R&D personnel. Nevertheless, this study subjects to some limitation. First, the sample in this paper is not the result of strict sampling survey, and its statistical conclusions cannot be directly generalized to the whole country. In terms of research methods, this study is a static study using cross-sectional data, while a more robust causal mechanism can be found through longitudinal research design in the future. Finally, future studies can explore whether the heterogeneity exists among different groups, and thereby comprehend the influencing mechanism of heterogenous factors affect the use of patent information.