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Politics, Complexity, and Systems Implementation

Critically Exposing Power

Datos Bibliográficos

ID12169754
AutoresKonrad Peszynski (0000-0003-2295-7850, MIT University, autor de correspondencia), Konrad J Peszynski (RMIT University), Brian Corbitt (RMIT University), Brian J Corbitt (RMIT University)
Año2006
Volumen24
Número3
Páginas326-341
Fecha de publicación2006-07-17
Open AccessSí
TipoARTICLE
RevistaSocial Science Computer Review (JOURNAL)
Identificadores de la revistaISSN: 0894-4393 • E-ISSN: 1552-8286
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/0894439306287977
OpenAlexW1990738848
IdiomaEN
Referencias citadas27

This article identifies the role of power and politics in systems implementation under a critical epistemology. Research in information systems has typically adopted a positivist or interpretive approach. This article highlights the use of the critical epistemology, providing a case study exploring the power and politics in the systems implementation process. Previous implementation studies that have investigated human and political factors involved in systems implementation have taken a simplistic view of power and politics. A critical, poststructuralist view of power provides a lens for observing the selection and implementation of an enterprise-wide learning management system. Such an approach has important implications for research methods as the critical epistemology needed is challenged by acceptance of bias and the need to expose it as an important factor in explaining success and/or failure in systems implementation. This article illustrates how useful a critical approach is in seeking out the real impact of power and politics in systems implementation and offers an alternative perspective that provides more insight into the observed process

Critical success factor · Critical theory · Economics · Epistemology · Knowledge management · Lens (geology · Management science · Perspective (graphical · Political science · Politics · Positivism · Power (physics · Process (computing · Selection (genetic algorithm · Sociology · Through-the-lens metering · Complex Systems and Decision Making · Computer Science · Engineering · Information Systems Theories and Implementation · Open Source Software Innovations · Artificial Intelligence

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