International Journal of Research in Business and Social Science (2147-4478),
Год журнала:
2023,
Номер
12(9), С. 99 - 112
Опубликована: Дек. 18, 2023
Technological
advancements
in
automation,
artificial
intelligence
(AI),
and
robotics
have
completely
changed
the
service
industries,
including
hospitality
sector.
This
study
aims
to
investigate
fundamental
elements
that
impact
acceptance
(or
rejection)
of
assistants'
services.
research
employed
semi-structured
interviews
gather
insights
from
both
individuals
who
use
AI
services
hotels
those
do
not.
Based
on
Behavioral
Reasoning
Theory,
this
is
empirically
tested
by
with
intended
respondents.
examines
"reasons
for"
against"
using
assistant
hotel.
Technology
anxiety,
privacy
concern,
prior
experience,
task
complexity
are
against,"
while
performance
expectancy,
effort
social
influence,
facilitating
conditions,
humanness,
presence,
perceived
interaction
enjoyment,
cuteness,
trust
for."
found
negatively
affect
attitude
adoption
intention,
positively
them.
Theory
used
for
first
time
evaluate
Bangladeshi
hotel
consumers'
intentions.
As
a
new
technology,
assistants
provide
better
understanding
user
usage.
Furthermore,
offers
essential
facts
regarding
utilization
technology
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 13
Опубликована: Июнь 7, 2024
The
rapid
emergence
of
Generative
Artificial
Intelligence
(GAI)
heralds
a
significant
shift,
opening
new
frontiers
in
how
education
is
delivered.
This
groundbreaking
wave
technological
advancement
poised
to
redefine
traditional
learning,
promising
enhance
the
educational
landscape
with
unprecedented
levels
personalized
learning
and
accessibility.
Despite
GAI's
progressive
infiltration
into
various
strata,
limited
empirical
research
exists
on
its
impact
students'
performance.
Drawing
Theory
Planned
Behavior
(TPB)
Behavioral
Reasoning
(BRT),
this
study
investigates
determinants
affecting
use
ChatGPT
influence
data
were
collected
from
357
university
students
analyzed
using
PLS-SEM
technique.
results
supported
role
positively
In
addition,
showed
that
reasons
for
against
adoption
are
pivotal
shaping
attitudes.
found
be
significantly
affected
by
attitudes,
subjective
norms,
perceived
behavioral
control.
Besides
theoretical
contributions,
findings
offer
implications
stakeholders
underscore
necessity
institutions
foster
conducive
environment
GAI
adoption,
addressing
ethical
technical
concerns
optimize
experiences.
Sustainability,
Год журнала:
2024,
Номер
16(8), С. 3172 - 3172
Опубликована: Апрель 10, 2024
This
study
investigates
the
perceptions
of
employees
in
hotel
industry
Republic
Serbia
regarding
acceptance
and
importance
artificial
intelligence
(AI).
Through
a
modified
UTAUT
model
application
structural
equation
analysis
(SEM),
we
investigated
key
factors
shaping
AI
acceptance.
Research
results
show
that
behavioral
intention
habit
significant
positive
impact
on
usage
behavior,
while
facilitating
conditions
have
limited
but
measurable
intention.
Other
factors,
including
social
influence,
hedonic
motivation,
performance
expectancy,
effort
minimal
influence
examined
variables.
The
reveals
crucial
mediating
role
intention,
effectively
bridging
gap
between
various
predictors
thereby
highlighting
its
significance
broader
context
technology
adoption
industry.
primary
goal
study,
which
closes
research
gaps,
as
well
manner
it
uses
specific
statistical
to
accomplish
this
goal,
shows
how
innovative
work
is.
method
not
only
broadens
field’s
understanding
also
offers
valuable
insights
for
sustainable
development
practices
hospitality
sector
Serbia.
In
alignment
with
Saudi
Vision
2030’s
strategic
objectives
to
diversify
and
enhance
the
tourism
sector,
this
study
explores
integration
of
Artificial
Intelligence
(AI)
in
Al-Baha
district,
a
prime
tourist
destination
Arabia.
Our
research
introduces
hybrid
AI-based
framework
that
leverages
sentiment
analysis
assess
satisfaction,
capitalizing
on
data
extracted
from
social
media
platforms
such
as
YouTube.
This
seeks
improve
quality
experiences
augment
business
value
within
region.
By
analyzing
sentiments
expressed
user-generated
content,
proposed
AI
system
provides
real-time
insights
into
preferences
experiences,
enabling
targeted
interventions
improvements.
The
conducted
experiments
demonstrated
framework’s
efficacy
identifying
positive,
neutral
negative
sentiments,
Multinomial
Naive
Bayes
classifier
showing
superior
performance
terms
precision
recall.
These
results
indicate
significant
potential
for
transform
practices
Al-Baha,
offering
enhanced
visitors
driving
economic
sustainability
sector
line
national
vision.
underscores
transformative
refining
operational
strategies
aligning
them
evolving
expectations,
thereby
supporting
broader
goals
2030
industry.
Journal of Islamic marketing,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 10, 2025
Purpose
The
purpose
of
this
paper
is
to
investigate
the
impact
artificial
intelligence
(AI)-enabled
Conversational
Agents
(AICAs)
on
religious
tourists’
experiences.
It
explores
how
AICA
attributes
influence
cognitive
and
affective
states
these
evaluations,
in
turn,
affect
their
memorable
tourism
experiences
(MRTEs)
continuous
use
intentions
AICAs.
Design/methodology/approach
Drawing
stimulus-organism-response
model
Technology
Readiness
Index,
authors
propose
a
new
theoretical
framework
examine
relationships
among
(stimuli),
evaluations
(organism),
behavioral
responses
(MRTEs
intentions).
conceptual,
with
supported
through
comprehensive
literature
review.
Findings
posits
that
attributes,
such
as
informativeness,
accessibility,
empathy
personalization,
shape
These
MRTEs,
influencing
willingness
continue
using
AICAs
future
Additionally,
technology
readiness
posited
moderate
relationship
between
evaluations.
Recommendations
are
made
research
can
be
conducted
test
proposed
conceptual
model.
Originality/value
This
enhances
AI
by
examining
AICAs’
exploring
multidimensional
nature
adoption.
provides
foundation
for
empirical
research.
offers
insights
operators
service
providers,
guiding
strategic
enhance
MRTEs
while
respecting
sacred
spiritual
journeys.
inform
development
more
effective
culturally
sensitive
AI-driven
solutions
contexts.
Journal of Lifestyle and SDGs Review,
Год журнала:
2025,
Номер
5(3), С. e05440 - e05440
Опубликована: Март 10, 2025
Objective:
This
study
examines
the
application
of
Behavioral
Reasoning
Theory
(BRT)
framework
in
e-business
adoption
within
small
and
medium-sized
enterprises
(SMEs)
food
beverage
(FnB)
sector.
It
aims
to
address
gaps
understanding
how
cognitive
reasoning
influences
technology
adoption,
particularly
emerging
economies.
research
aligns
with
sustainable
development
goal
no
poverty
by
exploring
digital
transformation
SMEs
can
drive
economic
growth
job
creation,
fostering
financial
stability
among
business
owners
workers.
Furthermore,
it
supports
Industry,
Innovation,
Infrastructure
emphasizing
role
platforms
strengthening
resilience
competitiveness,
while
advocating
for
partnerships
goals
through
collaboration
between
policymakers,
providers,
industry
stakeholders
enhance
adoption.
Method:
A
bibliometric
analysis
a
systematic
literature
review
(SLR)
were
conducted
on
519
peer-reviewed
articles.
Articles
selected
based
relevance
BRT,
SMEs,
focus
identifying
frameworks,
trends,
existing
gaps.
Results
Discussion:
While
there
is
growing
interest
BRT
studies,
especially
markets,
limited
links
FnB
SMEs.
Only
nine
studies
applied
broadly,
minimal
negligible
attention
Research
Implications:
Insights
from
this
guide
policymakers
providers
design
frameworks
addressing
SMEs'
specific
challenges
adopting
e-business.
emphasizes
potential
creating
targeted
training,
support
systems,
strategies
Originality/Value:
first
systematically
applications
sector,
highlighting
significant
providing
roadmap
future
practical
applications.
underscores
untapped
advance
