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Issue No.06 - Nov.-Dec. (2013 vol.15)
pp: 43-48
Rhoda C. Joseph , Pennsylvania State University Harrisburg
Norman A. Johnson , University of Houston
The big data phenomenon is growing throughout private and public sector domains. Profit motives make it urgent for companies in the private sector to learn how to leverage big data. However, in the public sector, government services could also be greatly improved through the use of big data. Here, the authors describe some drivers, barriers, and best practices affecting the use of big data and associated analytics in the government domain. They present a model that illustrates how big data can result in transformational government through increased efficiency and effectiveness in the delivery of services. Their empirical basis for this model uses a case vignette from the US Department of Veterans Affairs, while the theoretical basis is a balanced view of big data that takes into account the continuous growth and use of such data. This article is part of a special issue on big data and business analytics.
Information management, Data handling, Data storage systems, Electronic government, Standards organizations, Government, Big data,t-government, big data, analytics, e-government
Rhoda C. Joseph, Norman A. Johnson, "Big Data and Transformational Government", IT Professional, vol.15, no. 6, pp. 43-48, Nov.-Dec. 2013, doi:10.1109/MITP.2013.61
1. T.H. Davenport, “What Do We Talk About When We Talk About Analytics?” Enterprise Analytics, T.H. Davenport ed., Pearson Education, 2013, pp. 9-18.
2. A. McAfee, and E. Brynjolfsson, “Big Data: The Management Revolution,” Harvard Business Rev., vol. 90, no. 10, 2012, pp. 59-68.
3. A. Ghoneim, Z. Irani, and S. Sahraoui, “Guest Editorial,” European J. Information Systems, vol. 20, no. 3, 2011, pp. 303-307.
4. C.W. Copeland, The Federal Workforce: Characteristics and Trends CRS Report for Congress, Apr. 2011; .
5. B. Franks, “Analytics on Web Data: The Original Big Data,” Enterprise Analytics, T.H. Davenport ed., Pearson Education, 2013, pp. 47-70.
6. V. Weerakkody, and C.G. Reddick, “Public Sector Transformation through E-Government,” Public Sector Transformation through E-Government Experiences from Europe and North America, V. Weerakkody, and C.G. Reddick eds., Taylor & Francis, 2013, pp. 1-8.
7. K. Siau, and Y. Long, “Synthesizing E-Government Stage Models: A Meta-Synthesis Based on Meta-Ethnography Approach,” Industrial Management & Data Systems, vol. 105, nos. 3 and 4, 2005, pp. 443-458.
8. J. Feller, P. Finnegan, and O. Nilsson, “Open Innovation and Public Administration: Transformational Typologies and Business Model Impacts,” European J. Information Systems, vol. 20, no. 3, 2011, pp. 358-374.
9. F.V. Morgeson III and S. Mithas, “Does E-Government Measure Up to E-Business? Comparing End User Perceptions of US Federal Government and E-Business Web Sites,” Public Administration Rev., vol. 69, no. 4, 2009, pp. 740-752.
10. V. Jordan, “Overproduction and Business Organization,” The Menace of Overproduction, S. Hamlin ed., Books for Libraries Press, 1969, pp. 131-142.
11. P. Hegseth, and P. Rieckhoff, “No Medal for Veterans Affairs,” The Wall Street J.,17 Oct. 2012.
12. “Department of Veterans Affairs (VA) Strategic Plan to Eliminate the Compensation Claims Backlog, Veterans Benefits Administration,”25 Jan. 2013, pp. 1-20; VA_Strategic_Plan_to_Eliminate_the_Compensation_Claims_Backlog.pdf .
13. J. Manyika et al., Big Data: The Next Frontier for Innovation, Competition, and Productivity, McKinsey Global Inst., 2011; big_data_the_next_frontier_for_innovation .
14. Demystifying Big Data: A Practical Guide to Transforming the Business of Government, TechAmerica Foundation: Federal Big Data Commission, 2012; .
15. J.C. Bertot, P.T. Jaeger, and J.M. Grimes, “Promoting Transparency and Accountability through ICTs, Social Media, and Collaborative E-Government,” Transforming Government: People, Process and Policy, vol. 6, no. 1, 2012, pp. 78-91.
16. G. Mone, “Beyond Hadoop,” Comm. ACM, vol. 56, no. 1, 2013, pp. 22-24.
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