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Institutional contradictions and loose coupling : postimplementation of NASA's enterprise information system

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Berente, Nicholas and Yoo, Youngjin (2011) Institutional contradictions and loose coupling : postimplementation of NASA's enterprise information system. Information Systems Research, Volume 23 (Number 2). pp. 376-396. doi:10.1287/isre.1110.0373 ISSN 1047-7047.

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Official URL: http://dx.doi.org/10.1287/isre.1110.0373

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Abstract

Through a grounded analysis of the National Aeronautics and Space Administration (NASA's) enterprise information system (IS) implementation in the months immediately following the go-live, we show how NASA can be characterized as an institutionally plural organization, rife with diverse institutional logics, some consistent and some contradictory to each other. The enterprise system is introduced in accordance with the logic of managerial rationalism, but some of the institutional logics that organizational actors draw upon and reproduce contradict the logic of managerial rationalism in certain situations. In these situations, organizational actors loosely couple elements of their practices from the practices implied by the enterprise system, thus satisfying the demands associated with both institutional fields. We identify four generalizable forms of loose coupling that result from these institutional contradictions: temporal, material, procedural, and interpretive, and discuss their effects on both the system implementation and local practices. Further, we show how, through the use of institutional logics, researchers can identify fundamental institutional contradictions that explain regularities in the situated responses to enterprise system implementations—regularities that are consistently identified in the literature across a variety of organizational contexts.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Warwick Business School > Entrepreneurship, Innovation & Management
Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: Information Systems Research
Publisher: Institute for Operations Research and the Management Sciences
ISSN: 1047-7047
Official Date: 2011
Dates:
DateEvent
2011Published
Volume: Volume 23
Number: Number 2
Number of Pages: 20
Page Range: pp. 376-396
DOI: 10.1287/isre.1110.0373
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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