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To manage your alert preferences, click on the button below. Manage my AlertsIn the same way businesses use big data to pursue profits, governments use it to promote the public good.
Accenture. Build It and They Will Come? Chicago, 2012; http://www.accenture.com/SiteCollectionDocuments/PDF/Accenture-Digital-Citizen-FullSurvey.pdf
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Chen, H., Chiang, R.H.L., and Storey, V.C. Business intelligence and analytics: From big data to big impact. MIS Quarterly 36, 4 (Dec. 2012), 1165--1188.
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IBM. IBM's Smarter Cities Challenge: Syracuse. Dec. 2011; http://smartercitieschallenge.org/city_syracuse_ny.html
McAfee, A. and Brynjolfsson, E. Big data: The management revolution. Harvard Business Review (Oct. 2012), 61--68.
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Ohlhorst, F.J. Big Data Analytics: Turning Big Data Into Big Money. John Wiley & Sons, Hoboken, NJ, 2013.
Plant, R. CISPA: Information without representation? Big Data Republic, Apr. 24, 2013; http://www.bigdatarepublic.com/author.asp?section_id=2635&doc_id=262480
President's Council of Advisors on Science and Technology. Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology. Washington, D.C., Dec. 2010; http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-nitrd-report-2010.pdf
President's Council on National ICT Strategies. Establishing a Smart Government by Using Big Data. Washington, D.C., Nov. 7, 2011.
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United Nations. E-government Survey 2012: E-government for the People, 2012; http://www.un.org/en/development/desa/publications/connecting-governments-to-citizens.html
U.S. Government. Data.gov; http://www.data.govZikopoulos, P.C., Eaton, C., DeRoos, D., Deutsch, T., and Lapis, G. Understanding Big Data: Analytics for Enterprise-Class Hadoop and Streaming Data. McGraw-Hill, New York, 2012.
IMMS '18: Proceedings of the 1st International Conference on Information Management and Management Science
Big data has a potential to transform traditional government system to data-driven e-government system by utilizing modern analytical techniques. The aim of this article is to explore the applicability of big data for ensuring e-government. An extensive .
E-government is a new phenomenon that improves public services provision to citizens, improves public sector performance, and enriches the political arena. Such ambitious objectives are not fully investigated in the literature, where most research .
Reviewer: Ganapathy Mani
Big data analysis is used in both public and private sectors. This article aims to differentiate between the uses of big data analytics in these sectors. The authors argue that, compared to the private sector application of big data, the public sector may need a new set of strategies to implement big data applications. The authors make an obscure comparison of public and private sector attributes. For decision making, for example, the authors attribute short-term decision making to the private sector and long-term decision making to the public sector. But, in reality, both short- and long-term decision making can be applied to both public and private sectors. Likewise, the authors generalize that government applications only apply to a large segment of the population, whereas they can affect a narrow segment of the population in much the same way as a private company (for example, a particular department within the government). The article provides a detailed analysis of the big data practices of governments across several countries, from the US to Australia, and includes proposals such as real-time analysis and global collaboration to improve and increase big data analysis to benefit the public. Although the article is well written and includes an extensive analysis, it would have had farther-reaching implications if the authors had considered more inclusive attribute classification between private and public sectors. Online Computing Reviews Service
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