Several researchers have commented on the difficulty of applying the D&M IS Success
Model in order to define and operationalize IS success in specific research contexts.
This was not unexpected: “This success model clearly needs further development
and validation before it could serve as a basis for the selection of appropriate IS
measures” [8, p. 88]. Jiang and Klein [20] found that users prefer different success
measures, depending on the type of system being evaluated. Whyte et al. found that
“there are important differences deriving from organizational, user, and systems variations
which can modify the view as to which attributes (success measures) are important”
[55, p. 65]. Seddon et al. [42] make an important contribution by proposing a
two-dimensional matrix for classifying IS effectiveness measures based on the type
of system studied and on the stakeholder in whose interest the IS is being evaluated.
In this regard, we completely agree. As stated in the 1992 article, “no single variable
is intrinsically better than another, so the choice of success variables is often a function
of the objective of the study, the organizational context . . . etc.” [8, p. 80, emphasis
added].
Several researchers have commented on the difficulty of applying the D&M IS SuccessModel in order to define and operationalize IS success in specific research contexts.This was not unexpected: “This success model clearly needs further developmentand validation before it could serve as a basis for the selection of appropriate ISmeasures” [8, p. 88]. Jiang and Klein [20] found that users prefer different successmeasures, depending on the type of system being evaluated. Whyte et al. found that“there are important differences deriving from organizational, user, and systems variationswhich can modify the view as to which attributes (success measures) are important”[55, p. 65]. Seddon et al. [42] make an important contribution by proposing atwo-dimensional matrix for classifying IS effectiveness measures based on the typeof system studied and on the stakeholder in whose interest the IS is being evaluated.In this regard, we completely agree. As stated in the 1992 article, “no single variableis intrinsically better than another, so the choice of success variables is often a functionof the objective of the study, the organizational context . . . etc.” [8, p. 80, emphasisadded].
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