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Fig. 1.6 D&M model of IS success (adapted from DeLone and McLean 2003 )
adapted by the authors to include a more comprehensive perspective of system
quality and a more encompassing concept of organizational impact (described as
net bene
ts of the system) (see Fig. 1.6 ).
The authors argued that for a model of IS success to be truly useful, it had to
have as few variables as possible, so as to make it suitable for the great variety of
different realities and systems that exist in practice (DeLone and McLean 2003 ),
and this principle justi
es the model
'
s simplicity, which has made it one of the most
popular
approaches to IS success in research.
Seddon ( 1997 ) attempted to break down the simple concepts of the D&M model
by offering a slightly different perspective, particularly on the idea of use/user
satisfaction. The subsequent model, named the Seddon model, substituted the
concept of use by that of perceived usefulness, thus introducing expectations as key
variables in the process. Expectations about the net bene
and scrutinized
ts of future use of the
system will lead to use of the system (Seddon 1997 ). Use, in itself, is not a measure
of success but a behavior. User satisfaction, on the other hand, is in
uenced by a
great number of factors, including system quality, information quality, perceived
usefulness, individual net bene
ts, organizational net bene
ts, and societal net
bene
ts. Later adjustments of the Seddon model introduced the concepts of group
impact and external impact, to account for the in
uences that the user can be
subjected to from his/her peers or from his/her social context (Kurian et al. 2000 ).
Other authors have equally attempted to build on the D&M model, expanding or
breaking apart some of its essential concepts, particularly user satisfaction.
The 3D model (Ballantine et al. 1996 ) analyzed the concept of IS success as a
three-dimensional construct related to three different stages of IS development:
development, deployment, and delivery. Development pertains to the actual crea-
tion of the system (design, coding, etc.). For the system to be successfully deployed,
it has to cross a barrier called the implementation
filter, comprised mainly of factors
relating to the user
s expectations, involvement, experience, and possibility of
choice. After the system
'
'
is been deployed
used by its users
there is an integra-
tion
filter, where factors such as strategy, organizational culture, and organizational
structure will determine the degree to which the system
fits in with the existing
organization. Finally, for the system to be successfully delivered, it has to pass the
environmental
filter, where competitor movements and economic and political
contexts exert their in
uence (Ballantine et al. 1996 ).
 
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