情报科学 ›› 2024, Vol. 42 ›› Issue (8): 109-117.

• 业务研究 • 上一篇    下一篇

活动理论视角下高校图书馆专利情报服务框架设计与应用

  

  • 出版日期:2024-08-01 发布日期:2024-11-05

  • Online:2024-08-01 Published:2024-11-05

摘要: 【目的/意义】高校是创新主体,高校图书馆开展高质量的专利情报服务对助力高校科研创新具有重要意 义。【方法/过程】文章基于活动理论内涵构建了高校图书馆专利情报服务框架,分析其主体、客体、工具、共同体、分 工、规则六大要素内涵,生产、交流、共享、协作四个子系统的具体内容及其在专利情报分析过程中的角色变化,并 结合工作实例展示了该服务框架在专利情报服务过程中的应用。【结果/结论】实践表明活动理论视角下专利情报 服务框架解决了现有专利情报服务中的工作角色不明、规则不清、交流不畅、服务质量不高的问题,充分发挥共同 体各要素优势,提高了专利情报工作中各方参与者的协同度,提升了服务效率及质量。【创新/局限】基于活动理论 优化了专利情报服务工作模式,实现了交流协商全程化、资源共享动态化、任务分配合理化、服务管理规范化,提升 了服务满意度。未来在更多专利情报分析或共性问题相似的服务中应用,持续优化模式。

Abstract: 【Purpose/significance】Universities are the main body of innovation, and it is of great significance for university libraries to carry out high-quality patent information services to help university scientific research and innovation【. Method/process】Based on the activity theory, this paper constructs the patent information service framework of university library, analyzes the content of six ele⁃ ments: subject, object, tool, community, division of labor and rules, and the specific content of four subsystems: production, communi⁃ cation, sharing and collaboration and their role changes in the process of patent information analysis. The application of the service framework in the process of patent information service is demonstrated by a working example【. Result/conclusion】The practice shows that the patent information service framework from the perspective of activity theory solves the problems of unclear role, unclear rules, poor communication and low service quality in the existing patent information service, gives full play to the advantages of various ele⁃ ments of the community, improves the degree of collaboration of all participants in the patent information work, and improves the ser⁃ vice efficiency and quality.【Innovation/limitation】Based on the activity theory, the patent information service working mode is opti⁃ mized, the communication and negotiation process is realized, the resource sharing is dynamic, the task allocation is rationalized, the service management is standardized, and the service satisfaction is improved. In the future, it will be applied in more patent intelli⁃ gence analysis or services with similar common problems, and continue to optimize the model.