Analyzing E-Government as a Paradigm Shift

This paper analyses e-government and attempts to show that it is a major paradigm shift in the way that government and public administration are to function. To shed light on this major breach, an analysis is performed regarding the types of information that have been produced and used by the state through time, as well as the methods employed for information processing and dissemination of information in three stages, tribal, massive and configurational. The paper reviews the effects of information technology on general organization by structuring these effects in four stages: islands of automation, automated process chains, business reengineering through IT and total reinvention. It then analyses the fourth stage as it applies to government and public administration in particular. The major changes brought upon government and public administration through IT in this fourth phase appear to have profound effects forcing even a reconsideration of what public administrations should produce and why. For this new era, an organizational, information systems and political paradigm for public administration is proposed.

[1]  E. Sam Overman The New Sciences of Administration: Chaos and Quantum Theory , 1996 .

[2]  David McLellan,et al.  Karl Marx: Selected Writings , 1977 .

[3]  J. Steward,et al.  Theory of Culture Change: The Methodology of Multilinear Evolution , 1990 .

[4]  M. Vitkin The asiatic mode of production , 1981, A Primer on Chiefs and Chiefdoms.

[5]  B. Malinowski The Primitive Economics of the Trobriand Islanders , 1921 .

[6]  James Gleick Chaos: Making a New Science , 1987 .

[7]  Theodore Lewis Becker Quantum Politics: Applying Quantum Theory to Political Phenomena , 1991 .

[8]  Vassilios Peristeras,et al.  Building an Enterprise Architecture for Public Administration: A High Level Data Model for Strategic Planning , 2001, ECIS.

[9]  Richard Fikes,et al.  The Ontolingua Server: a tool for collaborative ontology construction , 1997, Int. J. Hum. Comput. Stud..

[10]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[11]  Ronald N. Ashkenas,et al.  The boundaryless organization : breaking the chains of organizational structure , 1995 .

[12]  J. Alexander,et al.  Images of Organization , 1988 .

[13]  Rob Kling,et al.  Learning from Social Informatics: Information and Communication Technologies in Human Contexts , 2000 .

[14]  Ian Roxborough,et al.  The Asiatic Mode of Production , 1977 .

[15]  Euel Elliott,et al.  Nonlinear dynamics, complexity and public policy , 1999 .

[16]  Michael Smithson,et al.  Fuzzy Set Analysis for Behavioral and Social Sciences , 1986 .

[17]  L. Douglas Kiel,et al.  Managing Chaos and Complexity in Government: A New Paradigm for Managing Change, Innovation, and Organizational Renewal , 1994 .

[18]  Peter Stecher,et al.  Building Business and Application Systems with the Retail Application Architecture , 1993, IBM Syst. J..

[19]  Ralph Stacey,et al.  Managing the unknowable : strategic boundaries between order and chaos in organizations , 1992 .

[20]  F. Glen The social psychology of organizations , 1976 .

[21]  H. Zimmermann Fuzzy sets, decision making, and expert systems , 1987 .

[22]  Nærings og handelsdepartementet Comments from the Norwegian Government: eEurope - An Information Society for all , 2000 .

[23]  Piero Risoluti Fuzzy Sets, Decision Making, and Expert Systems , 2004 .

[24]  William J. Kettinger,et al.  Process Think: Winning Perspectives for Business Change in the Information Age , 1999 .

[25]  J. Fleck Learning by trying: the implementation of configurational technology☆ , 1994 .

[26]  Eileen M. Milner,et al.  Managing Information and Knowledge in the Public Sector , 2000 .

[27]  Michael X Cohen,et al.  A Garbage Can Model of Organizational Choice. , 1972 .

[28]  Peter Gyngell,et al.  Process Innovation: Reengineering Work through Information Technology , 1994 .

[29]  J. Friedman System, structure, and contradiction in the evolution of "Asiatic" social formations , 1979 .

[30]  Margaret J. Wheatley,et al.  A Simpler Way , 1996 .

[31]  Walter J.M. Kickert,et al.  Fuzzy Theories on Decision Making: A Critical Review , 1979 .

[32]  Toby J. Tetenbaum Shifting paradigms: From Newton to Chaos , 1998 .

[33]  Thomas H. Davenport,et al.  Process Innovation: Reengineering Work Through Information Technology , 1992 .

[34]  A. Scheer Business Process Engineering: Reference Models for Industrial Enterprises , 1994 .

[35]  D. Edge,et al.  The social shaping of technology , 1988 .

[36]  James W. Marcum Crisis and Renewal: Meeting the Challenge of Organizational Change , 1995 .

[37]  I. N. Marshall,et al.  The quantum self: Human nature and consciousness defined by the new physics , 1990 .

[38]  Jane P. Laudon,et al.  Management Information Systems: Organization and Technology in the Networked Enterprise , 1999 .