Information Systems Research
Vol. 23, No. 2, June 2012, pp. 376–396
ISSN 1047-7047 (print) ISSN 1526-5536 (online) http://dx.doi.org/10.1287/isre.1110.0373
© 2012 INFORMS
Institutional Contradictions and Loose Coupling:
Postimplementation of NASA’s Enterprise
Information System
Nicholas Berente
Terry College of Business, University of Georgia, Athens, Georgia 30602, berente@uga.edu
Youngjin Yoo
Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122, youngjin.yoo@temple.edu
T
hrough 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.
Key words : institutional pluralism; institutional contradiction; institutional logic; institutional theory; loose
coupling; loosely coupled; enterprise systems; ERP; NASA
History : Michael Myers, Senior Editor; Natalia Levina, Associate Editor. This paper was received on August
6, 2008, and was with the authors 19 months for 3 revisions. Published online in Articles in Advance
July 26, 2011.
A loosely coupled system is not a flawed system. It
is a social and cognitive solution to constant environ-
mental change Loose coupling is to social systems
as compartmentalization is to individuals, a means to
achieve cognitive economy and a little peace.
—Weick (2001, p. 44)
1. Introduction
If we are to take decades of social studies of enter-
prise system-related practices seriously, we might
conclude that enterprise resource planning (ERP) sys-
tems cannot possibly be successfully employed across
diverse organizational contexts (Pollock et al. 2007).
Such systems are premised on notions of standard-
ization, integration, and inscribing stable, generic
best practices across entire organizations; but no two
organizations are identical, their environments are
constantly changing, and they are comprised of dis-
similar groups with an array of potentially conflicting
goals and interests. These diverse communities are
notorious for idiosyncratically appropriating enter-
prise systems—partially, improvisationally, inconsis-
tently, or unfaithfully (e.g., Ciborra 2000, Scott and
Wagner 2003, Wagner and Newell 2004, Pollock
and Cornford 2004, Boudreau and Robey 2005)—
inevitably undermining the very premise of standard-
ization and integration on which the implementation
of enterprise systems are based. Thus we see a
number of failures in the literature (e.g., Lee and
Myers 2004, Barker and Frolick 2003, Al-Mashari
and Al-Mudimigh 2003). However, organizational vic-
tories with ERP are also evident in much of the
literature. ERP systems have been widely adopted
across a variety of organizations, and ERP-related
expenditures represent perhaps the single most signif-
icant portion of modern corporate information tech-
nology (IT) expenses (e.g., Davenport 1998, Weill
et al. 2002, Sambamurthy et al. 2003, Volkoff et al.
2005, Gattiker and Goodhue 2005, Srivardhana and
Pawlowski 2007). How is it, then, that ERP systems
can often be successful in practice, while their promise
is so obviously unachievable?
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