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care professionals (Chau & Hu, 2001) and use of
EDSS (Workman, 2005). Collectively, these stud-
ies suggest that the TPB perspective is reasonable,
though it does not add significantly to explained
variance except when fully integrated with TAM
(Riemenschneider, Harris, & Mykytyn, 2003).
Attitude and control beliefs are consistently and
significantly related to adoption intention. The
role of normative beliefs is mixed and suggests
a weaker effect than the others.
Our extended conceptual model is shown in
Figure 2. The model extends DTPB by including
more concepts related to non-instrumental influ-
ences on technology adoption, and by including
a more complex web of relationships among the
antecedents. We adopted DTPB as the founda-
tion for our model, rather than TAM, as DTPB
represents a more general theoretical model. To
highlight the differences between DTPB and our
model, we provide a brief overview of our model
and then describe the rationale for the hypoth-
esized relationships in more detail.
Intention to use Microsoft Access (the target
system) is influenced by affect (attitude), social
factors (subjective norms), and perceived behav-
ioral control. Consistent with TAM (e.g., Davis
et al., 1989; Taylor & Todd, 1995a), intention is
also hypothesized to be influenced directly by
perceived usefulness. Affect is influenced by
three factors, two of which (perceived usefulness
and perceived ease of use) were predicted in the
original TAM (Davis et al., 1989) and in DTPB
Figure 2. Research model
Personal
Innovativeness
with IT
Computer
Self Efficacy
h8
h5
h3
h2
h4
h9
h7
Social
Factors
Ease of
Use
h1
Perceived
Behavioral
Control
h6
Affect
Perceived
Usefulness
h10
Future
Intention
Note: Dotted lines represent relationships previously established by DTPB (Taylor & Todd, 1995a) and TAM (Davis, et al,
1989)
 
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