[目的/意义]研究政府开放数据用户信息采纳，有利于增强数据的可读性与可及性，触发用户集中注意力，为深入挖掘数据价值提供理论参考。[方法/过程]以SOR为分析架构，整合叙事传输、感知价值、信任及注意力基础观理论，解析叙述内容、叙述结构、数据呈现方式等叙述要素，探索用户注意力分配集中度的调节效应，构建政府开放数据用户信息采纳意愿的影响因素理论假设模型，通过调查572名政府开放数据用户，对模型进行实证验证。[结果/结论]政府开放数据的叙述内容、结构和呈现方式正向影响认知信任与感知价值，感知价值正向影响认知信任，二者均正向影响用户信息采纳意愿，并在刺激维度影响采纳意愿的过程中起中介作用；注意力分配集中度正向调节认知信任和感知价值对用户信息采纳意愿的影响。

[Purpose/significance] Researching the adoption of government open data user information is conducive to enhancing the readability and accessibility of data, triggering users to focus their attention, and providing theoretical references for in-depth data value mining. [Method/process] Using the SOR (Stimulus-Organism-Response) frame⁃work as the analytical structure, and integrating the theories of narrative transportation, perceived value, trust, and at⁃tention-based view, this study analyzes narrative elements such as narrative content, structure, and data presentation methods, explores the moderating effect of attention allocation concentration, constructs a theoretical hypothesis model of factors influencing the willingness of government open data user information adoption, and empirically verifies the model through a survey of 572 government open data users. [Result/conclusion] The study shows that the narrative content, structure, and presentation methods of government open data positively affect cognitive trust and perceived val⁃ue, and perceived value positively affects cognitive trust. Both cognitive trust and perceived value positively affect user
information adoption willingness and play a mediating role in the process of influencing adoption willingness through the stimulus dimension. Attention allocation concentration positively moderates the impact of cognitive trust and per⁃ceived value on user information adoption willingness.