文章摘要
董京祥.组态视角下我国下一代图书馆服务平台应用现状与发展策略研究[J].数字图书馆论坛,2026,22(2):53~62
组态视角下我国下一代图书馆服务平台应用现状与发展策略研究
Application Status and Development Strategy of Next-Generation Library Service Platforms in China from the Perspective of Configuration
投稿时间:2025-09-11  
DOI:10.3772/j.issn .1673-2286.2026.02.006
中文关键词: 高校图书馆;图书馆服务平台;路径依赖;TOE框架;定性比较分析
英文关键词: University Library; Library Service Platform; Path Dependence; TOE Framework; Qualitative Comparative Analysis
基金项目:
作者单位
董京祥 东北林业大学图书馆 
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中文摘要:
      从组态视角探索制约下一代图书馆服务平台(Library Service Platform,LSP)推广应用的核心要素及其作用机制,为推进图书馆智慧化转型提供理论支持与实践参考。本研究选取147所“双一流”高校图书馆为研究样本,基于路径依赖理论,结合TOE(Technology-Organization-Environment)框架,从技术、组织、环境3个维度归纳LSP应用的关键影响因素,并运用模糊集定性比较分析方法对LSP应用进行组态分析。共识别出3条LSP应用组态路径:技术-组织协同型、技术主导-环境抑制型和混合适配型。其中技术锁定与组织惯性是阻碍LSP推广的主要因素,而环境因素的作用则存在条件性和不对称性。建议从规范标准与体系更新、能力提升与结构重塑、制度供给与生态优化等方面进行改进。
英文摘要:
      Exploring the core elements and mechanisms that constrain the promotion and application of the next-generation library service platforms(LSP) from a configurational perspective provides theoretical support and practical guidance for advancing the intelligent transformation of libraries. The study selects 147“double first-class” university libraries as the research samples. Based on path dependence theory and the TOE framework, key influencing factors for LSP application are summarized across three dimensions: technology, organization, and environment. Fuzzy-set qualitative comparative analysis is employed to conduct a configurational analysis of LSP application. The results show three LSP application configurational paths: technology-organization synergy type, technology-dominated-environment-suppressive type, and mixed-adaptation type.Among them, technology lock-in and organizational inertia are the core factors hindering LSP promotion, while the role of environmental factors is characterized by conditionality and asymmetry. It is recommended to make improvements in aspects such as standardization and system updates, capacity building and structural reorganization, and institutional supply and ecological optimization.
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