Journal of Association of Arab Universities for Tourism and Hospitality,
Journal Year:
2023,
Volume and Issue:
25(1), P. 208 - 226
Published: Dec. 1, 2023
This
research
aims
to
explore
the
relationship
between
green
marketing
and
hotel
image
in
Hurghada
Sharm
El
Sheikh.the
study
employed
snowball
sampling
approaches
collect
data
from
448
participants,
problem
represented
a
lack
of
information
regarding
effectiveness
improving
hotel's
repeat
business.The
paper
also
adds
what
is
already
known
about
literature.Additionally,
it
concentrates
on
customer
loyalty
hospitality
business
contributes
developing
related
areas.Three
hypotheses
were
examined,
all
which
gleaned
previous
literature
analysis.SPSS,
its
23rd
iteration,
was
used
conduct
statistical
analysis.The
done
December
2022
February
2023.Finally,
finds
that
there
significant
image,
but
no
loyalty.This
suggests
managers
should
encourage
actively
involving
visitors
establishment's
environmentally
conscious
activities
while
demonstrating
ways
individuals
may
contribute
positive
change.
Journal of Research in Interactive Marketing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 27, 2025
Purpose
This
study
investigated
consumer
perceptions
of
AI
chatbots
focusing
on
sentiment
analysis
across
Twitter
(X)
and
Reddit
during
ChatGPT3
through
ChatGPT4
launches.
It
identifies
user
sentiments:
positive,
negative,
or
neutral
explores
their
impact
chatbot
deployment
in
interactive
marketing.
The
goal
was
to
understand
engagement
dynamics
provide
insights
for
enhancing
marketing
strategies
interactions
with
chatbots.
Design/methodology/approach
Using
analysis,
this
research
examined
the
nature
scope
discussions
surrounding
methodological
approach
allowed
a
nuanced
understanding
predominant
neutral,
expressed
by
users
providing
into
interaction
patterns.
Findings
findings
reveal
diverse
range
sentiments
toward
ChatGPT
3,
reflecting
varying
degrees
acceptance
skepticism.
These
varied
are
crucial
organizations
shaping
strategies,
particularly
how
they
deploy
brand
interaction.
Practical
implications
Trust
positive
ChatGPT,
platforms
like
Reddit,
suggest
it
is
becoming
part
everyday
life.
However,
concerns
about
its
human
jobs
lack
emotional
intelligence
persist.
Users
still
weigh
benefits
drawbacks
negative
these
worries.
For
marketers,
presents
an
opportunity
differentiate
customer-facing
roles.
Addressing
risks
ethical
AI,
marketers
can
better
engage
consumers
refine
future
deployments,
ensuring
enhances
rather
than
detracts
from
customer
experience.
Originality/value
paper
makes
unique
contribution
existing
literature
demonstrating
perceptions,
mere
acceptance,
directly
influence
strategic
use
By
offers
deeper
social
media
that
campaigns
enhance
emerging
technologies
digital
landscape.
Computers in Human Behavior,
Journal Year:
2024,
Volume and Issue:
159, P. 108344 - 108344
Published: June 18, 2024
Conversational
AI
(CAI)
systems
which
encompass
voice-
and
text-based
assistants
are
on
the
rise
have
been
largely
integrated
into
people's
everyday
lives.
Despite
their
widespread
adoption,
users
voice
concerns
regarding
privacy,
security
trust
in
these
systems.
However,
composition
of
perceptions,
impact
technology
adoption
usage
relationship
between
perceptions
CAI
context
remain
open
research
challenges.
This
study
contributes
to
field
by
conducting
a
Systematic
Literature
Review
offers
insights
current
state
The
review
covers
application
fields
user
groups
sheds
light
empirical
methods
tools
used
for
assessment.
Moreover,
it
provides
reliability
validity
scales,
as
well
extensively
investigating
subconstructs
each
item
additional
concepts
concurrently
collected.
We
point
out
that
trust,
privacy
overlap
based
we
identified.
While
majority
studies
investigate
one
concepts,
only
few
were
found
exploring
jointly.
Our
aims
inform
directions
develop
use
reliable
scales
users'
contribute
development
trustworthy
International Journal of Information and Learning Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 30, 2024
Purpose
The
advent
of
artificial
intelligence
technologies,
exemplified
by
platforms
such
as
ChatGPT,
has
created
a
profound
global
impact,
with
particular
resonance
in
education.
This
research
aims
to
integrate
the
information
systems
success
(ISS)
model
stimulus-organism-response
(SOR)
paradigm
explore
how
quality
and
service
individually,
jointly,
congruently,
incongruently
affect
higher
education
students’
trust
satisfaction,
continuance
usage
intention.
Design/methodology/approach
We
employed
sophisticated
methodology
-
polynomial
regression
response
surface
analysis
conducted
our
study
sample
468
students
selected
Vietnam
using
three-phase
stratified
random
sampling
approach
evaluate
hypotheses
developed.
Findings
findings
indicate
that
both
influence
directly
positively
Moreover,
balance
between
can
increase
level
intention
continue
it.
Nevertheless,
significant
incongruity
will
likely
reduce
service.
Originality/value
is
one
first
offer
shred
empirical
evidence
about
interact
congruently
each
other
trigger
ChatGPT.
It
thus
offers
valuable
insights
for
leveraging
benefits
mitigating
potential
challenges
associated
adopting
this
innovative
technology
educational
settings.
Journal of Global Information Management,
Journal Year:
2024,
Volume and Issue:
32(1), P. 1 - 22
Published: June 30, 2024
This
study
expands
the
limited
research
on
chatbots
by
integrating
factors
from
unified
technology
acceptance
and
use
of
(UTAUT)
model
readiness
index
(TRI)
framework
to
explain
individuals'
trust
in
within
an
online
shopping
context.
According
our
findings,
customer
characteristics
(innovativeness
optimism)
positively
affect
customers'
expectations
(effort
as
well
performance
expectations),
whereas
discomfort
negatively
impacts
effort
but
does
not
significantly
expectations.
In
addition,
results
indicate
that
expectancy
will
impact
their
this
technology.
These
outcomes
highlight
importance
individual's
personality
his
which
lead
The
provide
insights
into
building
chatbots,
thus
increasing
willingness
them.
International Journal of Innovation Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Purpose
Using
artificial
intelligence
technologies
in
customer
service
through
chatbots
is
revolutionizing
companies’
commercial
practices
and
business
models.
This
study
explores
the
role
of
experience
drivers
using
chatbot
services
engagement
behavior
intention.
The
mediating
relationship
between
intention
was
also
explored.
Design/methodology/approach
For
this
purpose,
a
sample
1,319
Portuguese
consumers
their
online
purchases
collected.
A
quantitative
methodology
applied
with
partial
least
squares
method.
Findings
results
reveal
that
directly
positively
influence
but
not
However,
there
positive
on
when
mediated
by
engagement.
Originality/value
contributes
to
developing
social
exchange
resource
theories
experience.
In
addition,
it
allows
companies
infer
practical
implications
for
obtaining
sustainable
competitive
advantages
implementing
technology.
Administrative Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 157 - 157
Published: April 25, 2025
This
study
investigates
the
factors
in
acceptance
of
artificial
intelligence
(AI)-based
chatbot
application
Sri
Lanka’s
government
administration
services,
which
can
be
applied
to
developing
countries,
using
an
extended
technology
model
(extended
TAM)
as
a
new
research
framework
by
adding
external
constructs
such
trust,
design/appearance,
and
social
influence
(TAM).
Considering
sustainable
implementation
AI,
it
is
critical
understand
user
perspectives
given
expanding
intricate
integration
AI
operations.
Based
on
previous
research,
this
provides
structured
survey
find
out
respondents’
thoughts
chatbots
enhance
service
delivery.
With
valid
sample
size
207
responses
obtained
from
Lanka,
data
were
analyzed
covariance-based
structural
equation
(CB-SEM)
test
hypothesized
relationships.
The
findings
revealed
that
(SI)
has
positive
significant
impact
trust
(TR).
Also,
design
(AD)
have
perceived
ease
use
(PE),
turn
positively
influenced
usefulness
(PU)
then
PE
attitude
(AT)
toward
behavioral
intention
(BI)
accept
applications
administrative
services.
Therefore,
proved
effect
highlights
importance
those
policy
implementations
for
future
AI-driven
digital
initiatives.
