Abstract：With the advancement of technology and development of society， “public governance reform driven by big data” has become a hot topic for public management scholars. Since 2013， the first year of big data recognized by the academia， the domestic academia has exported a large amount of research on “public governance reform driven by big data”. Now it is time for a scientific evaluation and review to respond to new demands on theoretical research by the practice of “public governance reform driven by big data”. Using CiteSpace visual analysis software， we conduct a quantitative analysis on literature concerning “public governance reform driven by big data” in the 2013-2020 China Academic Journals Network Publishing Library （CNKI） CSSCI journals and the Chinese Core Journal Sources， and find that hotspots in this research field mainly focus on governance paradigms， technological rationality， value rationality； in terms of the main thread of research， while the research enthusiasm for related topics such as “e-government， cloud computing， and government networks” is decreasing， the enthusiasm for such topics as “path， targeted poverty alleviation， and open government data is increasing”. We also find that research on “big data-driven-public governance reform” as a whole shows the characteristics of returning to humanism in research theme， pursuing pragmatism in research content， and moving towards the “fourth paradigm” in research methods. In the future， the research on “big data-driven-public governance reform” will focus more on technology in research content and pay more attention to social reality in research theme.
马海韵, 袁园. 大数据驱动下公共治理变革研究综述——基于2013-2020年CSSCI及核心期刊来源的文献计量分析[J]. 北京交通大学学报(社会科学版), 2022, 21(2): 143-154.
MA Hai-yun, YUAN Yuan. Research Review on Public Governance Reform Driven by Big Data: Bibliometric Analysis Based on 2013-2020 CSSCI and Chinese Core Journal Sources. journal6, 2022, 21(2): 143-154.
2022, Vol. 21 
