Review of Extant User
Acceptance Models
Desciption of Models
and Constructs
IS research has long studied towand why individuals adopt new information technologies. Within
this broad area of inquiry, there have been several
streams of research. One stream of research
focuses on individual acceptance of technology by
using intention or usage as a dependent variable
(e.g., Compeau and Higgins 1995b; Davis et al.
1989). Other streams have focused on
implementation success at the organizational level
(Leonard-Barton and Deschamps 1988) and tasktechnology fit {Goodhue 1995; Goodhue and
Thompson 1995), among others. While each of
these streams makes important and unique
contributions to the literature on user acceptance
of information technology, the theoretical models
to be included in the present review, comparison,
and synthesis employ intention and/or usage as
the key dependent variable. The goal here is to
understand usage as the dependent variable. The
role of intention as a predictor of behavior (e.g.,
usage) is critical and has been well-established in
IS and the reference disciplines (see Ajzen 1991;
Sheppard et al. 1988; Taylor and Todd 1995b)
Figure 1 presents the basic conceptual framework
underlying the class of models explaining individual acceptance of information technology that
forms the basis of this research. Our review resulted in the identification of eight key competing
theoretical models. Table 1 describes the eight
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