Information Technology Reference
In-Depth Information
Figure 14.3
A Model of Individual Interaction with IT (IIIT)
Affective Reaction Toward Using IT
Perceived
Affective
Quality
Perceived
Playfulness
Cognitive
Absorption
Perceived
Enjoyment
Trait
IS Use
Computer
Anxiety
Attitude
Satisfaction
Flow
Computer
Playfulness
Behavior
Intention
Personal
Innovativeness
of IT
Usage
Cognitive Reaction Toward Using IT
Computer
Self-efficacy
Perceived
Ease of Use
Perceived
Usefulness
et al.'s model (1991). Although less important than PU, PEOU has been confirmed to significantly
influence users' behavioral intention or actual usage behaviors (e.g., Davis, 1989; Taylor and Todd,
1995; Taylor and Todd, 1995; Venkatesh and Davis, 2000; Venkatesh et al., 2003).
PU and PEOU are two major cognitive determinants of users' adoption of information technolo-
gies, while other factors are supposed to influence users' behavioral intention or actual usage via
these two factors (Davis, 1989). Computer self-efficacy (CSE) also is believed to play an important
role in individuals' decision making. CSE is closely related to affect factors such as affect and anx-
iety, and other cognitive concepts such as PU (Compeau et al., 1999) and PEOU (Venkatesh, 2000).
A Model of Individual Interaction with IT (IIIT)
Based on the above examination, an IT-specific model of an individual's interacting with IT can
be constructed by applying the abstract model IIO shown in the section “Theoretical Grounds and
an Abstract Model.” The final dependent variables are the same: behavioral intention to use IT
and usage of IT. For the affective reactions, all existing terms but the two “affects” are relatively
recognizable and studied in IS. These terms are used as they were defined. Figure 14.3 depicts the
IT-specific model, which denotes individual interaction with IT (IIIT).
Our main goal here is to illustrate the big picture of important contributors to individual inter-
action with IT. Therefore, we focus on the relationships among the clusters of components such as
traits, affective reaction, cognitive reaction and behavioral intention/usage. Due to the scope of this
paper, we omit the specific relations among specific affective reactions and among cognitive reac-
tions, even though existing studies provided empirical evidence showing the existence of these
relations. For example, studies have identified that computer self-efficacy influences perceived
ease of use and perceived usefulness (Compeau and Higgins, 1995; Compeau and Higgins, 1995).
The main idea of IIIT is that personal traits influence both affective and cognitive reactions
toward using IT; affective and cognitive reactions influence each other, and together they deter-
mine IT use intention and behavior. The specific propositions in the abstract model of IIO should
be applicable here in the IIIT model. In the next section, relationships among the related concepts
are analyzed to confirm and validate the general propositions.
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