THE ROLE OF AFFECT IN INFORMATION SYSTEMS RESEARCH - Human-Computer Interaction and Management Information Systems: Foundations - page 298

Table 14.4

The Impacts of Traits on Affective Reactions Toward Using IT

Article ID Trait (IV) Affective Reaction (DV) P1-1 Supported?

Agarwal and Karahanna (2000) CPS Cognitive absorption Yes

PIIT Cognitive absorption Yes

Martocchio and Webster (1992) CPS Positive mood Yes

Thatcher and Perrewe (2002) Trait anxiety Computer anxiety Yes

PIIT Computer anxiety Yes

Webster and Martocchio (1992) CPS Computer anxiety Yes

Webster and Martocchio (1995) CPS Flow Yes

Sun and Zhang (2004) CPS Perceived enjoyment Yes

IV: Independent variable. DV: Dependent variable. CPS: Computer playfulness. PIIT: Personal innovativeness
in IT.

Table 14.5

The Impacts of Traits on Cognitive Reactions

Article ID Trait (IV) Cognitive Reaction (DV) P1-2 Supported?

Hackbarth et al. (2003) CPS PEOU Yes

Karahanna et al. (2002) PIIT Relatively advantages of GSS Yes

Venkatesh (2000) CPS PEOU Yes

Sun and Zhang (2004, Model 2) CPS PEOU Partial yes

CPS: Computer playfulness. PEOU: Perceived ease of use. PIIT: Personal innovativeness in IT.

Examination of the Relationships in IIIT

The Impacts of Traits

Table 14.4 summarizes empirical findings on relationships between traits and affective reactions;
Table 14.5 shows relationships between traits and cognitive reactions. These results are compared
to the general propositions derived from the IIO model. Developed based on the empirical evi-
dence and the general propositions, these IT-specific propositions can guide additional empirical
studies and practice on the role of affect in the IS field.
Table 14.4 posits that a user's trait variables, computer playfulness, and personal innovativeness
in IT can predict his or her affective reaction. Agarwal and Karahanna (2000) tested the impacts
of both of the two trait variables on the users' affective reaction named cognitive absorption using
the World Wide Web as the target technology.
Computer playfulness may predict users' perceptions, especially PEOU, in that those people
who are more playful with information technologies in general are expected to indulge in using a
new IT just for the sake of using it, rather than for the specific positive outcomes associated with
use (Venkatesh, 2000). These “playful” users tend to underestimate the difficulties of using a new