秘书 ›› 2023, Vol. 41 ›› Issue (2): 55-67.

• 公共管理 • 上一篇    下一篇

大数据与公共管理交叉研究的发展轨迹与主题布局——基于2013—2021年国家社科、自科基金资助项目的分析

谭天姝, 张廷君, 徐海霞   

  • 出版日期:2023-03-15 发布日期:2023-03-29
  • 作者简介:谭天姝,福建师范大学政治发展与地方治理研究中心研究人员。研究方向:政府绩效与管理创新。张廷君(通讯作者),福建师范大学文化旅游与公共管理学院教授、硕士生导师。研究方向:政府绩效与管理创新。徐海霞,福建师范大学政治发展与地方治理研究中心研究人员。研究方向:政府绩效与管理创新。
  • 基金资助:
    教育部人文社会科学研究青年基金项目“大数据时代公共服务质量评价与预警的动态治理机制研究”(20YJC630213);福建网龙计算网络信息技术有限公司与福建师范大学合作课题“大数据与城市公共服务绩效管理”(HJ-716);福建师范大学新文科与改革实践委托项目“新文科建设背景下公共管理高质量人才培养的改革与实践”(W202112)

Development Trajectory and Theme Layout of Interdisciplinary Research on Big Data and Public Administration in China—Based on Analyses of the National Social Science and Natural Science Foundation of China from 2013 to 2021

TAN Tianshu, ZHANG Tingjun, XU Haixia   

  • Online:2023-03-15 Published:2023-03-29

摘要: 本文以2013—2021年间国家社会科学、国家自然科学基金项目中大数据与公共管理交叉研究项目为研究对象, 分析此类交叉研究项目的数量、类别、主持单位、主题分布状况。研究发现,大数据与公共管理交叉研究的发展轨迹对国家宏观政策有较强的回应性。进一步,借助波士顿矩阵对该领域的研究主题进行导入期、成长期、成熟期、缩减期四个维度的布局分析,结果显示,医疗卫生管理、公共安全与应急管理、舆情管理等主题处于该领域的成熟、成长期,是交叉研究的热点。同时,一些实力较强的科研团队已完成了从科研“拓荒”到科研“集聚”的过渡,形成了一批特色鲜明、具有影响力的研究成果。据此,研究提出促进大数据与公共管理交叉研究持续深化与转型升级的相关建议。

关键词: 大数据, 公共管理, 国家社会科学基金, 国家自然科学基金

Abstract: This research takes the interdisciplinary research projects of big data and public administration of the National Social Sciences and National Natural Science Foundation of China from 2013 to 2021 as research objects, and analyzes the number, categories, hosts and theme layout of this interdisciplinary research projects. It is found that the development trajectory of the interdisciplinary research on big data and public administration has a strong response to national policies. The research further uses the Boston matrix to analyze the theme layout of this interdisciplinary research projects from four dimensions, namely, the introduction period, the growth period, the maturity period and the reduction period. The results show that medical and health management, public security and emergency management, public opinion management and other themes are in the mature and growth period of this interdisciplinary research field, moreover, they are the research hotspots of this interdisciplinary research field. Meanwhile, some strong research teams have completed the transition from pioneering to agglomeration and made distinctive and influential research achievements in this interdisciplinary research field. Based on this, suggestions are put forward to promote the continuous deepening and transformation and upgrading of interdisciplinary research on big data and public administration.

Key words: big data, public administration, The National Social Science Foundation of China, The National Natural Science Foundation of China