Authors :
Stefy Falentino Akuba, David Loei
Volume/Issue :
Volume 5 - 2020, Issue 3 - March
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/3biGt75
Abstract :
The development of auto repair booking
application service is highly dependent on the intention
to use of the consumers. This research aims to
investigate the relationship of self-efficacy, perceived
usefulness, perceived risk and perceived ease of use on
intention of use effects. The data were collected by
surveying 309 users of the auto repair booking
application service in Jakarta, Indonesia. The research
analysis used part least square-structural equation
modeling (PLS-SEM) through SmartPLS 3.2.7
application. The research results indicate that the
variables of perceived usefulness and perceived ease of
use have positive effect on continuance intention, while
perceived risk has negative effect. Mobile Self-Efficacy
has positive effect on perceived ease of use but does not
have an effect on perceived ease of use.
Keywords :
Self-Efficacy, Perceived Usefulness, Perceived Ease of Use, Intention To Use, Technology Acceptance Model, Perceived Risk
The development of auto repair booking
application service is highly dependent on the intention
to use of the consumers. This research aims to
investigate the relationship of self-efficacy, perceived
usefulness, perceived risk and perceived ease of use on
intention of use effects. The data were collected by
surveying 309 users of the auto repair booking
application service in Jakarta, Indonesia. The research
analysis used part least square-structural equation
modeling (PLS-SEM) through SmartPLS 3.2.7
application. The research results indicate that the
variables of perceived usefulness and perceived ease of
use have positive effect on continuance intention, while
perceived risk has negative effect. Mobile Self-Efficacy
has positive effect on perceived ease of use but does not
have an effect on perceived ease of use.
Keywords :
Self-Efficacy, Perceived Usefulness, Perceived Ease of Use, Intention To Use, Technology Acceptance Model, Perceived Risk
