图书情报工作 ›› 2020, Vol. 64 ›› Issue (2): 30-37.DOI: 10.13266/j.issn.0252-3116.2020.02.004

• 专题:政府开放数据用户行为与服务研究 • 上一篇    下一篇

基于用户敏感度的政府开放数据服务失误补救时机策略研究

姜慧1,2, 段尧清1,3   

  1. 1. 华中师范大学信息管理学院 武汉 430079;
    2. 山东工商学院管理科学与工程学院 烟台 264000;
    3. 湖北省数据治理与智能决策研究中心 武汉 430079
  • 收稿日期:2019-05-15 修回日期:2019-09-04 出版日期:2020-01-20 发布日期:2020-01-20
  • 作者简介:姜慧(ORCID:0000-0002-8093-5636),讲师,博士研究生,E-mail:helenjianghui@126.com;段尧清(ORCID:0000-0002-8991-5842),教授,博士生导师。
  • 基金资助:
    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。

Research on the Recovery Timing Strategy of Government Open Data Service Failure Based on User Sensitivity

Jiang Hui1,2, Duan Yaoqing1,3   

  1. 1. Central China Normal University, School of Information Management, Wuhan 430079;
    2. Shandong Technology and Business University, School of Management Science and Engineering, Yantai 264000;
    3. Hubei Data Governance and Intelligent Decision Research Center, Wuhan 430079
  • Received:2019-05-15 Revised:2019-09-04 Online:2020-01-20 Published:2020-01-20

摘要: [目的/意义] 随着政府开放数据运动在全球范围内的兴起,"政府开放数据"已成为多学科的交叉研究热点,但较少文献探讨政府数据开放后的服务失误问题,这将影响政府开放数据的效果。[方法/过程] 聚焦政府开放数据服务的失误补救问题,探讨数据质量视角下的政府开放数据服务失误类型,构建基于用户敏感度的政府开放数据服务失误补救时机策略模型,并采用拉格朗日乘数法对模型求解。[结果/结论] 模型求解与算例分析结果表明,补救时机、用户对开放数据的敏感度和用户对失误补救的敏感度对政府开放数据服务失误补救时机策略有重要影响。政府部门应充分重视用户敏感度,选择恰当的补救时机,及时进行失误补救。

关键词: 政府开放数据, 数据质量, 失误补救, 用户敏感度

Abstract: [Purpose/significance] With the rise of the government open data movement in the global scope, "open government data" has become a multi-disciplinary cross-research hotspot, but there is less literature to discuss the problem of service failure after the opening of government data. This will affect the effectiveness of government open data.[Method/process] This paper focused on the problem of the service failure recovery of government open data, explored the types of the service failure of government open data from the perspective of data quality, constructed a model of recovery timing of the government open data failure based on the user sensitivity and used Lagrange multiplier method to find the optimal solution of the model.[Result/conclusion] The result of model solution and examples analysis indicate that the recovery timing, the user sensitivity to open data and the user sensitivity to failure recovery have important implications for the government's recovery strategy of open data service failure. Government departments should give full attention to the sensitivity of users, choose appropriate recovery time and recovery timely.

Key words: government open data, data quality, failure recovery, user sensitivity

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