| 政府开放数据公众初始接受行为影响因素结构关系研究 |
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| 引用本文： | 段尧清,周密,尚婷.政府开放数据公众初始接受行为影响因素结构关系研究[J].图书情报工作,2020,64(2):4-12. |
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| 作者姓名： | 段尧清 周密 尚婷 |
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| 作者单位： | 1. 华中师范大学信息管理学院 武汉 430079;
2. 湖北省数据治理与智能决策研究中心 武汉 430079 |
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| 基金项目： | 本文系国家社会科学基金重点项目"基于全生命周期的政府开放数据整合利用机制与模式研究"（项目编号：17ATQ006）研究成果之一。 |
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| 摘 要： | 目的/意义] 厘清政府开放数据公众初始接受行为影响因素层级关系,有助于提高政府开放数据公众接受度与使用效率,为我国政府开放数据相关政策的制定与完善提供理论支持。方法/过程] 基于情境理论和专家调查法提炼出影响政府开放数据公众初始接受行为的13个因素,利用解释结构模型辅助建模,构建政府开放数据公众初始接受行为影响因素的关系结构模型。结果/结论] 结果显示,政府开放数据公众初始接受行为影响因素的关系结构模型包含5个层级,可划分为3个层次：表象层、中间层与根本原因层。表象层包括系统资源、任务紧急程度与平台操作;中间层包括需求明确程度、任务主题、信息意识、信息知识、信息能力;根本原因层包括文化程度、年龄、政策法规、社会影响与平台设计。
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| 关 键 词： | 政府开放数据 公众初始接受行为 解释结构模型 情境理论 |
| 收稿时间： | 2019-05-15 |
Research on the Structural Relationship of the Influencing Factors of the Initial Public Acceptance Behavior of Government Open Data |
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| Duan Yaoqing,Zhou Mi,Shang Ting.Research on the Structural Relationship of the Influencing Factors of the Initial Public Acceptance Behavior of Government Open Data[J].Library and Information Service,2020,64(2):4-12. |
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| Authors: | Duan Yaoqing Zhou Mi Shang Ting |
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| Institution: | 1. School of Information Management, Central China Normal University, Wuhan 430079;
2. Hubei Data Governance and Intelligent Decision Research Center, Wuhan 430079 |
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| Abstract: | Purpose/significance] The hierarchical relationship of the factors affecting the initial public acceptance behavior of government open data is clarified, which can improve the public acceptance and use efficiency of government open data. It can also provide theoretical support for the formulation and improvement of the government's open data related strategy.Method/process] Based on the situational theory, 13 factors affecting the initial public acceptance behavior of government open data were extracted by the expert survey method. Using the model of interpretation structure model, the relationship structure model of the factors affecting the public acceptance of government open data was constructed.Result/conclusion] The results show that, the relationship structure model of the public acceptance of government open data includes 5 levels, which can be divided into 3 levels:representation layer, intermediate layer and fundamental layer. The representational factors include system resources, task urgency, and platform operations; the intermediate factors include requirements clarity, task topics, information awareness, information knowledge and information capabilities; the fundamental factors include education, age, policies and regulations, social influence and platform design. |
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| Keywords: | government open data initial public acceptance behavior interpretation structure model situational theory |
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