Understanding E-government benefits an examination of leading-edge local governments

American Review of Public Administration

Volumn 37, Issue 2, 2007, Pages 178-197

  Brown, Mary Maureen ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Development stages; e government; Information technology; Local government

Indexed keywords

EID: 34248588057     PISSN: 02750740     EISSN: 15523357     Source Type: Journal    
DOI: 10.1177/0275074006291635     Document Type: Article

References (31)

1. Ahl, V., & Allen, T. F. H. (1996). Hierarchy theory, a vision, vocabulary and epistemology. New York: Columbia University Press.
2. Attewell, P., & Rule, J. (1984). Computing and organizations: What we know and what we don't know. Communications of the ACM, 27, 1184-1192.
3. Comfort, L. (1994). Self organization in complex systems. Journal of Public Administration Research and Theory, 4, 393-410.
4. Dooley, K. (1997). A complex adaptive systems model of organizational change. Nonlinear Dynamics, Psychology and the Life Sciences, 1, 69-97.
5. Fountain, J. (2001). Building the virtual state: Information technology and institutional change. Washington, DC: Brookings Institution.
6. Garson, G. D. (2005) Handbook of public information systems (2nd ed.). New York: Marcel Dekker.
7. Gersick, C. J. (1991). Revolutionary change theories: A multilevel exploration of the punctuated equilibrium paradigm. Academy of Management Review, 16, 10-36.
8. Hiller, J. S., & Belanger, F. (2001). Privacy strategies for electronic government. In M. A. Abramson & G. E. Means (Eds.), E-government 2001 (pp. 162-198). New York: Rowman & Littlefield.
9. Ho, A. T. (2002). Reinventing local governments and the e-government initiative. Public Administration Review, 62, 434-444.
10. International City/County Management Association. (2000). Digital Government Survey. Washington, DC: ICMA/PTI.
11. International City/County Management Association. (2002). Digital Government Survey. Washington, DC: ICMA/PTI.
12. International City/County Management Association. (2004). Digital Government Survey. Washington, DC: ICMA/PTI.
13. Kaufman, S. A. (1992). Origins of order: Self organization and selection in evolution. Oxford, UK: Oxford University Press.
14. Kiel, L. D. (1994). Managing chaos and complexity in government. San Francisco: Jossey-Bass.
15. Layne, K., & Lee, J. (2001). Developing fully functional e-government: A four-stage model. Government Information Quarterly, 18(2), 122-136.
16. Lindbloom, C. E. (1959). The science of muddling through. Public Administration Review, 19(2), 79-88.
17. McGrath, J. E., & Tschan, F. (2004). Dynamics in groups and teams: Groups as complex action systems. In M. S. Poole & A. Van de Ven (Eds.), Handbook of organizational change and innovation (pp. 50-72). Oxford, UK: Oxford University Press.
18. Moon, M. J. (2001). The evolution of e-government among municipalities: Rhetoric or reality? Public Administration Review, 62, 424-434.
19. Moon, M. J., & de Leon, P. (2001). Municipal reinvention: Managerial values and diffusion among municipalities. Journal of Public Administration Research and Theory, 11, 327-351.
20. Norris, D. F., & Moon, M. J. (2005). Advancing e-government at the grassroots: Tortoise or hare? Public Administration Review, 65, 64-75.
21. Northrop, A. (2003). E-government: The URBIS cities revisited. Retrieved December 20, 2004, from http://www.crito.uci.edu/ITG/
22. Northrop, A., Kraemer, K. L., Dunkle, D., & King, J. L. (1990). Payoffs from computerization: Lessons over time. Public Administration Review, 50, 505-514.
23. Overman, E. S. (1996). The new science of management: Chaos and quantum theory and method. Journal of Public Administration Research and Theory, 6(1), 75-89.
24. Poole, M. S., & Van de Ven, A. H. (1989). Toward a general theory of innovation. In A. Van de Ven, H. Angle, & M. S. Poole (Eds.), Research on the management of innovation (pp. 637-662). New York: Ballinger, Harper and Row.
25. Poole, M. S., Van de Ven, A. H., Dooley, K., & Holmes, M. E. (2000). Organizational change NS innovation processes: Theory and methods for research. Oxford, UK: Oxford University Press.
26. Rogers, E. (1995). Diffusion of innovations (5th ed.). New York: Free Press.
27. Simon, H. A. (1997). Administrative behavior (4th ed.). New York: Free Press.
28. Thompson, J. D. (1967). Organizations in action. New York: McGraw-Hill.
29. Tushman, M. L., & Romanelli, E. (1985). Organizational evolution: A metamorphosis model of convergence and reorientation. In B. Staw & L. Cummings (Eds.), Research in organizational behavior (pp. 171-122). Greenwich, CT: JAI.
30. Walker, D. (2001, July 11). E-government in the information age: The long view. Statement presented to E-Gov 2001 Conference, 2001. Retrieved November 20, 2002, from http://www.gao.gov/cghome/ia/egov.htm
31. West, D. (2005). E-government and the transformation of service delivery and citizen attitudes. Public Administration Review, 64(1), 15-27.