Heliyon,
Journal Year:
2023,
Volume and Issue:
9(5), P. e16074 - e16074
Published: May 1, 2023
An
awareness
about
the
antecedents
and
behavioural
outcomes
of
trust
in
chatbots
can
enable
service
providers
to
design
suitable
marketing
strategies.
online
questionnaire
was
administered
users
four
major
banking
(SBI
Intelligent
Assistant,
HDFC
Bank's
Electronic
Virtual
ICICI
bank's
iPal,
Axis
Aha)
India.
A
total
507
samples
were
received
which
435
complete
subject
analysis
test
hypotheses.
Based
on
results,
it
is
found
that
hypothesised
antecedents,
except
interface,
design,
technology
fear
factors,
could
explain
38.6%
variance
chatbot
trust.
Further,
terms
explain,
9.9%
customer
attitude,
11.4%
intention,
13.6%
user
satisfaction.
The
study
provides
valuable
insights
for
managers
how
they
leverage
increase
interaction
with
their
brand.
By
proposing
testing
a
novel
conceptual
model
examining
factors
impact
its
key
outcomes,
this
significantly
contributes
AI
literature.
Journal of Decision System,
Journal Year:
2021,
Volume and Issue:
30(2-3), P. 150 - 171
Published: Jan. 6, 2021
This
study
proposes
a
new
model
of
technology
adoption
in
mobile
wallet
application
context,
which
includes
the
provider’s
reputation
and
profession,
trust,
perceived
value,
security
applications.
Based
on
survey
382
users,
structural
was
verified.
A
multi-group
analysis
conducted
to
verify
moderating
impact
profession.
Our
results
confirm
trust
security;
both
verified
as
antecedents
continuance
intention.
Besides,
profession
moderates
trust.
The
suggests
that
providers
focus
their
communication
strategy
build
maintain
In
addition
role
providers’
verifying
factor
enhancing
constitutes
main
originality
this
paper.
IEEE Access,
Journal Year:
2021,
Volume and Issue:
9, P. 162259 - 162275
Published: Jan. 1, 2021
The
use
of
personal
voice-assistants
like
Amazon
Alexa
and
Google
Assistant
has
been
on
the
rise
recently.
To
ensure
a
long-term
success
widespread
diffusion
these
products
it
is
important
to
evaluate
their
continued
usage
scenario
instead
initial
adoption
intention.
Majority
research
evaluating
continuance
do
so
via
an
expectation-confirmation
approach.
However,
in
this
work
user
engagement-based
approach
taken
for
utilitarian
hedonic
attitudes
users
towards
scenario.
This
augmented
with
additional
contextual
constructs
trust,
privacy
risk,
satisfaction.
At
present,
there
little
empirical
evidence
engagement
voice-assistants.
Moreover,
present
focuses
late
adopters
by
considering
two
unique
factors
(slowness
skepticism).
By
aspect
laggard
group,
current
findings
contribute
theory
providing
better
understanding
how
proposed
antecedents
determine
Data
collected
from
244
who
devices
daily
life
building
framework.
All
hypotheses
are
supported
except
effect
risk.
implications
both
practice
provided
based
findings.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(5), P. e16074 - e16074
Published: May 1, 2023
An
awareness
about
the
antecedents
and
behavioural
outcomes
of
trust
in
chatbots
can
enable
service
providers
to
design
suitable
marketing
strategies.
online
questionnaire
was
administered
users
four
major
banking
(SBI
Intelligent
Assistant,
HDFC
Bank's
Electronic
Virtual
ICICI
bank's
iPal,
Axis
Aha)
India.
A
total
507
samples
were
received
which
435
complete
subject
analysis
test
hypotheses.
Based
on
results,
it
is
found
that
hypothesised
antecedents,
except
interface,
design,
technology
fear
factors,
could
explain
38.6%
variance
chatbot
trust.
Further,
terms
explain,
9.9%
customer
attitude,
11.4%
intention,
13.6%
user
satisfaction.
The
study
provides
valuable
insights
for
managers
how
they
leverage
increase
interaction
with
their
brand.
By
proposing
testing
a
novel
conceptual
model
examining
factors
impact
its
key
outcomes,
this
significantly
contributes
AI
literature.
