Abstract：As a tool to improve public responsibility and improve government performance governance,government performance management is widely used in different countries and regions around the world.The era of big data has provided tools and thinking for government performance management innovation,and has attracted more and more attention from scholars.In order to better understand the current status of government performance management research in the era of big data and to further promote theoretical dialogue,this article systematically combs the relevant literature from the three dimensions of data status,practical exploration and research topics.The research found that data,as a resource linking performance management and governance elements,provides data,technology and thinking innovation for government performance management.It has achieved good results in public service and social governance practices,but there are also many problems,such as data island,inadequate collection and use of performance information and so on.The theoretical research focuses on the government performance data,evaluation and digital transformation of performance management,and further expands the research vision.However,existing research has some shortcomings in theoretical discussion and research level.In the future,it is necessary to microscopically explore the factors that affect data in government performance management,and systematically explore the coordination relationship between performance information,performance evaluation and digital transformation.At the same time,it is necessary to introduce a public value perspective to balance technical rationality and value rationality.
吴振其, 郭诚诚. 大数据时代政府绩效管理述评:实践、议题与展望[J]. 中国科技论坛, 2022(1): 172-179.
Wu Zhenqi, Guo Chengcheng. Review on Government Performance Management in the Big Data Era:Practice,Issues and Prospects. , 2022(1): 172-179.
[1] PENCHEVA I,ESTEVE M,MIKHAYLOV S J.Big data and AI——a transformational shift for government:so,what next for research[J].Public policy and administration,2018,35(2):1-21. [2] 黄其松,邱龙云,冯媛媛.大数据驱动的要素与结构:一个理论模型[J].电子政务,2020(4):49-57. [3] 司林波,刘畅.智慧政府治理:大数据时代政府治理变革之道[J].电子政务,2018(5):85-92. [4] 江小涓.大数据时代的政府管理与服务:提升能力及应对挑战[J].中国行政管理,2018(9):6-11. [5] CHADEFAUX T.Early warning signals for war in the news[J].Journal of peace research,2014,51(1):5-18. [6] 舍恩伯格,库克耶.大数据时代:生活、工作与思维的大变革[M].周涛,译.杭州:浙江人民出版社,2013. [7] 刘泽,陈升.大数据驱动下的政府治理机制研究——基于2020年后精准扶贫领域的返贫阻断分析[J].重庆大学学报(社会科学版),2020(5):216-229. [8] 胡税根,王汇宇,莫锦江.基于大数据的智慧政府治理创新研究[J].探索,2017(1):72-78,2. [9] MERGEL I,RETHEMEYER R K,ISETT K.Big data in public affairs[J].Public administration review,2016,76(6):928-937. [10] BEHN R D.The big questions of public management[J].Public administration review,1995,55(4):313-324. [11] 莫伊尼汗.政府绩效管理:创建政府改革的持续动力机制[M].尚虎平,杨娟,孟陶,译.北京:中国人民大学出版社,2020. [12] 田五星,王海凤.大数据时代的公共部门绩效管理模式创新——基于KPI与OKR比较的启示与借鉴[J].经济体制改革,2017(3):17-23. [13] LFGREN K,WEBSTER C.The value of big data in government:the case of‘smart cities’[J].Big data & society,2020,7(1):1-14. [14] BOVENS M,ZOURIDIS S.From street-level to system-level bureaucracies:how information and communication technology is transforming administrative discretion and constitutional control[J].Public administration review,2002,62(2):174-184. [15] DUNLEAVY P,MARGETTS H,BASTOW S,et al.New public management is dead-long live digital-era governance[J].Journal of public administration research and theory,2006,16(3):467-494. [16] 杨宏山.数据绩效分析与城市管理创新[J].中国行政管理,2008(6):102-105. [17] 胡税根,杨竞楠.发达国家数字政府建设的探索与经验借鉴[J].探索,2021(1):77-86. [18] GAMAGE P.New development:leveraging‘big data’analytics in the public sector[J].Public money & management,2016,36(5):385-390. [19] REDDEN J.Democratic governance in an age of datafication:lessons from mapping government discourses and practices[J].Big data & society,2018,5(2):1-13. [20] NG R.Cloud computing in Singapore:key drivers and recommendations for a smart nation[J].Politics and governance,2018,6(4):39-47. [21] 龚艺巍,谢诗文,施肖洁.云技术赋能的政府数字化转型阶段模型研究——基于浙江省政务改革的分析[J].现代情报,2020,40(6):114-121,128. [22] 许峰.地方政府数字化转型机理阐释——基于政务改革“浙江经验”的分析[J].电子政务,2020(10):2-19. [23] 马亮.数据驱动与以民为本的政府绩效管理——基于北京市“接诉即办”的案例研究[J].新视野,2021(2):50-55,120. [24] ALLARD S W,WIEGAND E R,SCHLECHT C,et al.State agencies'use of administrative data for improved practice:needs,challenges,and opportunities[J].Public administration review,2018,78(2):240-250. [25] DESOUZA K C,JACOB B.Big data in the public sector:lessons for practitioners and scholars[J].Administration & society,2017,49(7):1043-1064. [26] MOHAN R,TIKOO M,CAPELA S,et al.Increasing evaluation use among policymakers through performance measurement[J].New directions for evaluation,2006,(112):89-97. [27] MUNTEANU I,NEWCOMER K.Leading and learning through dynamic performance management in government[J].Public administration review,2020(4):316-325. [28] MERGEL I,RETHEMEYER R K,ISETT K.Big data in public affairs[J].Public administration review,2016,76(6):928-937. [29] 马亮.大数据时代的政府绩效管理[J].理论探索,2020(6):14-22. [30] 尚虎平.我国政府绩效评估的总体性问题与应对策略[J].政治学研究,2017(4):60-70,126-127. [31] 张红春.从小数据到大数据:政府绩效信息失真的治理路径转轨[J].甘肃行政学院学报,2019(5):24-34,125-126. [32] VAN DOOREN W,BOUCKAERT G,HALLIGAN J.Performance management in the public sector[M].London:Routledge,2015. [33] MOYNIHAN D P,HAWES D P.Responsiveness to reform values:the influence of the environment on performance information use[J].Public administration review,2012,72(S1):S95-S105. [34] HAMMERSCHMID G,VAN DE WALLE S,STIMAC V.Internal and external use of performance information in public organizations:results from an international survey[J].Public money & management,2013,33(4):261-268. [35] HONDULA D M,KURAS E R,LONGO J,et al.Toward precision governance:infusing data into public management of environmental hazards[J].Public management review,2018,20(5):746-765. [36] 庄国波,时新.大数据时代政府绩效评估的新领域与新方法[J].理论探讨,2019(3):166-171. [37] 罗敏,李文军,刘欣.信息技术驱动政府绩效评估的创新转向[J].中国科技论坛,2020(3):8-15. [38] VYDRA S,KLIEVINK B.Techno-optimism and policy-pessimism in the public sector big data debate[J].Government information quarterly,2019,36(4):1-10. [39] MACIEJEWSKI M.To do more,better,faster and more cheaply:using big data in public administration[J].International review of administrative sciences,2016,83(1):120-135. [40] DALTON C M,TAYLOR L,THATCHER J.Critical data studies:a dialog on data and space[J].Big data & society,2016,3(1):1-9. [41] MERGEL I,RETHEMEYER R K,ISETT K.Big data in public affairs[J].Public administration review,2016,76(6):928-937. [42] 李文彬,谢昕.大数据技术与预算绩效管理质量提升研究[J].学习论坛,2020(4):38-45. [43] PANAGIOTOPOULOS P,KLIEVINK B,CORDELLA A.Public value creation in digital government[J].Government information quarterly,2019,36(4):1-8. [44] 王学军.我国政府绩效管理的治理转型[J].理论探索,2020(6):5-13. [45] AJZEN I.The theory of planned behavior[J].Organizational behavior and human decision processes,1991,50(2):179-211. [46] KROLL A.Explaining the use of performance information by public managers:a planned-behavior approach[J].The american review of public administration,2015,45(2):201-215.
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