The Shift in Thinking in Evidence-based Government Policymaking Incorporates Massive Data Analysis in the Public Sector
Keywords:
big data analysis, democratic governance, electronic governance, Evidence-based policymaking, Technological optimismAbstract
With the rapid development of Information and Communication Technologies (ICTs), democratic countries are more optimistic about the impact of ICTs on democratic governance. However, even the atmosphere of Technological optimism is filled, it does not necessarily respond to the major problems that the real government faces. Many studies have shown that the changes and effects brought about by an electronic government reform in the past decade or more may be smaller than we eagerly expected. The key lies in the changes in electronic governance. The problem of the corresponding combination of technology and the public domain is often overlooked, and the current most ardent trend of influential data is no exception; therefore, this article believes that the reform of big data analysis is not promising if it wants to be technological innovation. Deceived by the theory, you need to interact with the evidence-based government. Evidence-based government combined with three in-depth dialogues on management approach, governance structure, and policy framework, to achieve the purpose of public sector reform in concept, planning, and implementation, this article finally originates from New York City’s Performance Statistics System as an example, discusses the prerequisites for a successful big data application plan, including a clear range of management options, governance structure changes that are both the internal and external, and specific and complete application of policy areas waiting for 3 items, let the technology of big data analysis not only be fully integrated with the domain knowledge of democratic governance but also truly meet the expectations of those who are optimistic about technological change and make a positive contribution to government reform.
References
Barber, Benjamin R. 2000/2001. Which Technology for Which Democracy? Which Democracy for Which Technology? International Journal of Communications Law and Policy, 6(Winter): 1-8.
Behn, Robert D. 2014. The PerformanceStat Potential: A Leadership Strategy for Producing Results. New York: Brookings Institution Press and Ash Center for Democratic Governance and Innovation at Harvard Kennedy School of Government.
Bertot et al. 2014. Big Data, Open Government, and e-government: Issues, Policies, and Recommendations. Information Polity 19: 5-16.
Boyd et al. 2012. Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon.Information, Communication & Society, 15(5): 662-679.
Chen et al. 2009. Civil investigation under evidence-based public administration: Views, methods, and practical significance of the first Taiwanese experience. Journal of Public Administration 31: 187-225.
Chen et al. 2011. Use geographic visualization technology to explore spatial knowledge of traffic flow data. Journal of Geography 62: 1-18.
Chen et al. 2014. Big Data for Digital Government: Opportunities, Challenges, and Strategies. International Journal of Public Administration in the Digital Age ?IJPADA? 1(1): 1-14.
Clark et al. 2015. The Technology Effect: How Perceptions of Technology Drive Excessive Optimism,” Journal of Business Psychology, February: 1-16.
Demirkan et al. 2013. Leveraging the Capabilities of Service-oriented Decision Support Systems: Putting Analytics and Big Data in Cloud. Decision Support Systems 55: 412-421.
Desouzaet al. (2017). Big Data in the Public Sector: Lessons for Practitioners and Scholars. Administration & Society, 49(7), 1043–1064.
Dumbill, Edd. 2012. What is Big Data: An Introduction to the Big Data Landscape.
Ekbia, H., M., et al. 2015. Big Data, Bigger Dilemmas: A Critical Review. Journal of the Association for Information Science and Technology 66(8): 1523-1545.
Honavar et al. 2014. The Promise and Potential of Big Data: A Case for Discovery Informatics. Review of Policy Research 31(4): 326-330.
Huang Yijun. 2012. Big Data: The next war between government and enterprises. World Magazine 495: 50-56.
Leavitt et al. 1958. Management in the 1980s. Harvard Business Review, November- December: 41-48.
Learmonth et al. 2006. Evidence-based Management: The Very Idea. Public Administration 84(2): 245-266.
Lewis et al. 2013. Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods. Journal of Broadcasting & Electronic Media 57(1): 34-52.
Liao et al. 2013. Use huge amounts of data to practice good governance: the feasibility study on the introduction of online public opinion into government decision-making analysis (research report commissioned by the Research Development Evaluation Committee of the Executive Yuan RDEC-MIS-102-003) Taipei: Research and Development Evaluation Committee of the Executive Yuan.
Lin et al. 2013. Massive data analysis and GIS application value creation. National Land Information System Communication 88: 12-20.
Liu et al. 2015. The Evolution of Information and Communication Technology in Public Administration. Public Administration and Development 35(2): 140-151.
Lu et al. 2013. Application of massive data analysis in the field of medical care. Taiwan Medicine Formosan J Med 17: 652-61.
Lyon, David. 2014. Surveillance, Snowden, and Big Data: Capacities, Consequences, Critique. Big Data & Society 1: 1-13.
McNeely et al. 2014. The Big ?Data? Bang: Policy, Prospects, and Challenges. Review of Policy Research 31(4): 304-310.
Nickerson et al. 2014. Political Campaigns and Big Data. Journal of Economic Perspectives 28(2): 51-74.
O’Malley, Martin. 2014. Doing What Works: Governing in the Age of Big Data. Public Administration Review, 74(5): 555– 556.
Sanderson, I. 2002. Evaluation, Policy Learning, and Evidence-based Policy Making. Public Administration 80(1): 1- 22.
Stewart, R. 2002. Evidence-based Management: A Practical Guide for Health Professionals. Abingdon: Radcliffe Medical Press.
Tankersley et al. 2013. Can We Have an Evidence-based Government?
Urahnet al. 2014. Evidence-based Policymaking: A Guide for Effective Government. The Pew-MacArthur Results First Initiative.
Washington, Anne. 2014. Government Information Policy in the Era of Big Data. Review of Policy Research 31(4): 319-325.
Wu Zongzhe. 2014. Cases of school application in the era of huge data (Big Data) —On school evaluation and diagnosis analysis. Taiwan Education Review Monthly 3 (7): 31-34.
Xiao et al. 2014. The government applied a huge amount of data to improve the feasibility study of public service and policy analysis (research report commissioned by the Research Development Evaluation Committee of the Executive Yuan RDEC-MIS-103-003). Taipei: Research and Development Evaluation Committee of the Executive Yuan.
Zhan et al. 2013. Application of geographic information system in infectious epidemiology. National Land Information System Communication 88: 21-31.
Zhou et al. 2010. Investigation and Research on Trends of Internet Public Opinions on Major Government Issues-Taking the Death Penalty as an Example (Research Report 0992466052 commissioned by the Research Development Evaluation Committee of the Executive Yuan) Taipei: Research and Development Evaluation Committee of the Executive Yuan.
Zhou et al. 2011. The Construction and Empirical Research of the Analysis Mechanism of Internet Public Opinion (Research Report Commissioned by the Research Development Evaluation Committee of the Executive Yuan RDEC-MIS-100-003). Taipei: Research and Development Evaluation Committee of the Executive Yuan.
Zikopouloset al. 2013. Harness the Power of Big Data. New York: The McGraw-Hill Companies.

