算法驱动的数智时代，提升图书情报人员算法素养对强化算法治理与智慧服务转型至关重要。揭示技术身份对算法素养的影响路径，能够为国家培育人才与算法风险防控提供新视角。文章基于适应性结构化理论与技术接受模型，构建了包含技术身份影响因素与算法素养测度的评价体系；通过问卷调查收集数据，并利用SPSS进行实证分析与假设检验。研究发现：技术身份对算法素养呈现显著正向影响。其中，使用前提通过使用预期、应用状态及计划创新的中介作用间接影响算法素养，且部分中介变量在影响路径中起完全中介作用，而应用状态则对算法意识存在负向影响。

In the era of algorithm-driven digital intelligence, enhancing the algorithmic literacy of library and information professionals is crucial for strengthening algorithm governance and advancing the transformation toward smart services. Revealing the pathways through which technological identity influences algorithmic literacy can provide new perspectives for national talent cultivation and algorithmic risk prevention. Integrating adaptive structuration theory and the technology acceptance model, an evaluation framework was constructed that includes factors influencing technological identity and measures of algorithmic literacy. Data were collected through questionnaire surveys and empirically analyzed using SPSS for hypothesis testing. The study found that technological identity significantly and positively influences algorithmic literacy. Among these pathways, usage preconditions indirectly affect algorithmic literacy through the mediating roles of usage expectations, application status, planned innovation, and certain mediating variables play a complete mediating role in the influence paths. While application status has a negative impact on algorithmic awareness.