International Journal of Contemporary Hospitality Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 13, 2024
Purpose
Although
artificial
intelligence
(AI)
is
an
essential
component
of
hospitality
in
the
technological
empowerment
era,
AI’s
effectiveness
as
attraction
this
context
remains
unclear.
Grounded
Herzberg’s
motivation
theory
and
complexity
theory,
study
aims
to
explore
configurational
paths
whereby
combinations
qualities
lead
success
for
different
types
AI-themed
hotels.
Design/methodology/approach
This
innovatively
blends
topic
modeling
fuzzy-set
qualitative
comparative
analysis
(fsQCA)
investigate
combined
produce
positive
guest
evaluations
12
hotels
evidenced
by
7,431
customer
reviews.
Findings
The
results
indicate
that
AI
could
serve
a
“theme”
attract
customers
under
certain
circumstances.
First,
“attractive”
“must-be”
are
first
identified
Furthermore,
6,
15
inspiring
favorable
luxury-independent,
budget-independent
chain
hotels,
respectively.
Technology-related
found
be
especially
attractive
luxury-independent
whereas
role
technology
minimal
budget
impact
salient
when
with
other
factors.
In
addition,
effect
price
differs
among
three
hotel
types.
Research
limitations/implications
expands
understanding
applications
within
exploring
comparing
its
attracting
across
various
It
also
provides
operational
strategies
adopting
tourism
sectors.
Originality/value
represents
early
attempt
integrate
fsQCA
clarify
customers’
perceptions
impacts
qualities.
findings
expand
on
Kano’s
model
classifying
technology-related
into
International Journal of Contemporary Hospitality Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 2, 2024
Purpose
This
study
aims
to
offer
an
overview
of
hospitality
and
tourism
research
on
artificial
intelligence
(AI)
its
impact
the
industry.
More
specifically,
this
examines
AI
trends
in
customer
service
experience
creation
delivery,
failure
recovery,
human
resources
organizational
behavior.
Based
review,
identifies
challenges
opportunities
provides
directions
for
future
studies.
Design/methodology/approach
A
narrative
synthesis
approach
was
used
review
various
aspects
Findings
applications
delivery
possible
effects
employees
organizations
are
viewed
as
a
double-edged
sword.
Although
use
offers
benefits,
there
also
serious
concerns
over
ethical
AI,
replacement
by
AI-powered
devices,
discomfort
among
customers
trust
toward
AI.
Originality/value
The
paper
updated
holistic
implications
different
facets
Challenges
discussed
foster
discussions
scholars
industry
professionals.
Journal of Islamic marketing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 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 Applied Research in Higher Education,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 14, 2024
Purpose
This
study
intends
to
extend
the
unified
theory
of
acceptance
and
use
technology
(UTAUT)
model
by
integrating
perceived
enjoyment
as
an
intrinsic
motivation
so
investigate
factors
influencing
Chinese
undergraduate
English
a
Foreign
Language
(EFL)
students'
intention
ChatGPT
for
learning.
Design/methodology/approach
A
cross-sectional
quantitative
survey
method
research
design
was
used
in
this
study.
Data
were
collected
from
432
students
at
two
universities.
The
data
analysis
carried
out
using
SmartPLS
4,
computer
software
that
employs
partial
least
squares
structural
equation
modelling
(PLS-SEM)
technique.
performed
stages,
including
assessment
reflective
measurement
model.
PLS
predict
utilized
assess
model’s
predicting
power.
Findings
showed
effort
expectancy,
performance
social
influence
positively
related
EFL
learners'
Perceived
mediated
relationships
between
learning
respectively.
Originality/value
Through
incorporating
into
UTAUT
explore
impact
learning,
has
extended
applicability
provide
insights
affecting
utilize
or
other
AI-based
technologies
International Journal of Tourism Research,
Journal Year:
2024,
Volume and Issue:
26(5)
Published: Sept. 1, 2024
ABSTRACT
This
paper
investigates
the
role
of
ChatGPT
in
informing
tourist
decision‐making
across
different
destination
contexts,
focusing
particularly
on
accessibility
and
diagnosticity
its
recommendations.
Specifically,
we
inform
our
analysis
with
tenets
Accessibility–Diagnosticity
Theory
(ADT),
to
draw
insights
into
ChatGPT's
capabilities
produce
contextually
relevant
personalised
travel
content.
Our
findings
reveal
a
sophisticated
multi‐dimensional
advisory
approach
characterised
by
three
themes:
‘Tailored
Engagement
Accessibility’,
‘Diagnosticity
Information’
‘Contextual
Variation
Criteria
Prioritisation.’
These
themes
their
intersections
highlight
potential
improve
offering
comprehensive
user‐centric
guidance.
Based
these
findings,
develop
model
dynamics
tourism
decision‐making,
which
illustrates
how
integrates
insights,
diagnostic
relevance
contextual
adaptation,
blueprint
for
leveraging
artificial
intelligence
enhancing
experience.
We
conclude
discussion
theoretical
practical
contributions
study.
