| 李楠,樊可.高校知识产权信息服务高质量发展组态路径研究[J].数字图书馆论坛,2024,20(11):72~82 |
| 高校知识产权信息服务高质量发展组态路径研究 |
| Configuration Paths of High-Quality Development of Intellectual Property Information Service in Universities |
| 投稿时间：2024-09-19 |
| DOI：10.3772/j.issn.16732286.2024.11.008 |
| 中文关键词: 知识产权信息服务；影响因素；组态分析；模糊集定性比较分析 |
| 英文关键词: Intellectual Property Information Service; Influencing Factor; Configuration Analysis; fsQCA |
| 基金项目: |
| 作者 | 单位 | | 李楠 | 华东理工大学科技信息研究所 | | 樊可 | 华东理工大学科技信息研究所 |
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| 摘要点击次数: 65 |
| 全文下载次数: 122 |
| 中文摘要: |
| 基于对全国41家高校知识产权信息服务中心的服务调研，采用模糊集定性比较分析方法开展知识产权信息服务组态路径研究。在信息生态学分析框架下，归纳知识产权信息服务生态系统的相关要素，提取需求信息搜集、信息资源保障、服务团队业务能力、用户服务感知、政策与经济环境、管理与制度环境等条件变量，并将服务广度、深度、丰富度作为反映服务质量测度的结果变量。研究发现，当前高校知识产权信息服务实践可总结为环境驱动型、用户主导型以及均衡发展型3种典型服务组态，分别具有独特的发展规律，其中服务团队的专业化程度、用户需求的有效获取以及用户的良好服务体验对于服务质量具有重要影响。研究旨在弥补已有研究缺乏对多要素组合的整体考量与系统化设计的局限，为不同资源条件的服务主体提升服务质量提供针对性对策建议。 |
| 英文摘要: |
| Based on the service research of intellectual property information service centers in 41 universities in China, the fuzzy set qualitative comparative analysis method is used to carry out the research on the configuration paths of intellectual property information service. Under the framework of information ecology analysis, this paper summarizes the relevant elements of intellectual property information service ecosystem, and extracts the conditional variables such as demand information collection, information resource guarantee, service team business ability, user service perception, policy and economic environment, and management and institutional environment. Meanwhile, this paper takes service breadth, depth, and richness as the result variables reflecting service quality measurement. The research finds that the current practice of intellectual property information service in universities can be summarized into three typical service configuration paths: environment-driven, user-led, and balanced development, which have unique development laws respectively. Among them, the degree of specialization of service team, the effective acquisition of user needs, and the good service experience of users have an important impact on the quality of service. This study effectively makes up for the lack of overall consideration and systematic design limitations of multi-factor combination analysis in existing research, and provides targeted countermeasures and suggestions for service providers with different resource conditions to improve service quality. |
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