International Hospitality Review,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 30, 2024
Purpose
This
study
aims
to
evaluate
Artificial
Intelligence
(AI)
research
in
the
hospitality
industry
based
on
service
AI
framework
(mechanical-thinking-feeling)
and
highlight
prospective
avenues
for
future
inquiry
this
growing
domain.
Design/methodology/approach
paper
conceptualizes
timely
concepts
supported
by
spanning
multiple
domains.
Findings
introduces
a
novel
classification
domain
of
research.
encompasses
prediction
pattern
recognition,
computer
vision,
NLP,
behavioral
research,
synthetic
data
generation.
Based
classification,
identifies
elaborates
upon
five
emerging
topics,
each
linked
corresponding
set
questions.
These
focal
points
encompass
realms
interpretable
AI,
controllable
ethics,
collaborative
Originality/value
viewpoint
provides
foundational
directional
compass
within
industry.
It
pushes
forward
with
balanced
approach
leveraging
augment
human
potential
enrich
customer
experiences.
Both
agenda
would
contribute
body
knowledge
that
will
guide
toward
where
technology
coalesce
create
unparalleled
value
all
stakeholders.
Tourism Management,
Год журнала:
2023,
Номер
100, С. 104798 - 104798
Опубликована: Июнь 10, 2023
Despite
the
increased
recognition
of
importance
images
as
a
rich
data
source,
full
potential
to
advance
tourism
and
hospitality
knowledge,
both
conceptually
theoretically,
has
yet
be
fully
tapped.
This
study
provides
critical
review
image
analytics,
examining
its
broad
implications
for
research.
paper
offers
progress
definitions,
features
related
theories,
well
presents
methodological
framework
conducting
image-related
studies,
complementing
dominant
textual
analysis
used
in
The
makes
contributions
literature
by
developing
point
reference
application
analytics
studies.
International Journal of Contemporary Hospitality Management,
Год журнала:
2023,
Номер
35(8), С. 2929 - 2943
Опубликована: Янв. 23, 2023
Purpose
This
work
consists
of
a
critical
reflection
on
the
extent
to
which
hospitality
and
tourism
management
scholars
have
accurately
used
term
“analytics”
its
five
types
(i.e.
descriptive,
exploratory,
predictive,
prescriptive
cognitive
analytics)
in
their
research.
Only
analytics,
latest
most
advanced
type,
is
based
artificial
intelligence
(AI)
requires
machine
learning
(ML).
As
analytics
constitutes
cutting
edge
industry
application,
this
study
aims
examine
depth
has
been
covered
literature.
Design/methodology/approach
systematic
literature
review
(SLR)
topic
“analytics”.
The
SLR
findings
were
complemented
by
results
an
additional
search
query
“machine
learning”
“deep
that
was
as
robustness
check.
Moreover,
triangulated
with
recent
reviews
related
topics
(e.g.
big
data
AI)
generate
insights.
Findings
show
that:
there
growing
accelerating
body
research
analytics;
lacks
consistent
use
terminology
definitions
analytics.
Specifically,
publications
rarely
scientific
different
types;
although
AI
ML
are
key
enabling
technologies
for
did
not
explicitly
link
these
terms
distinguish
from
other
forms
do
rely
ML.
In
fact,
“cognitive
analytics”
apparently
missing
Research
limitations/implications
generates
set
eight
theoretical
three
practical
implications
advance
methodological
recommendations
further
Originality/value
To
best
authors’
knowledge,
first
critically
examines
general,
particular,
Journal of Travel Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 28, 2025
Images,
with
their
direct
content
experience,
have
become
essential
in
tourists’
narratives
of
accommodation
sharing.
Although
visual
plays
an
important
role
influencing
user
decisions,
research
on
hotel
images
often
neglects
the
significance
sensory
elements.
Sensory
elements
help
shape
perceptions
and
evaluations
experiences.
This
study
explores
how
marketing
review
affect
sales
from
a
perspective.
The
employs
combination
hybrid
machine
vision
econometric
methods
to
examine
visual,
tactile,
auditory,
smell
influence
sales.
These
results
reveal
relationship
among
images,
discrepancies,
primary
theoretical
this
is
analyzing
image
sales,
providing
unique
perspective
for
tourist
decision-making
strategies.
Information Systems Research,
Год журнала:
2023,
Номер
34(4), С. 1641 - 1663
Опубликована: Фев. 28, 2023
Customer-generated
images
(CGIs)
are
posted
by
customers
on
e-commerce
platforms,
and
they
usually
appear
in
the
review
sections
together
with
text
ratings
provided
having
purchase
experiences.
Despite
their
prevalent
adoption
effect
of
CGIs
customers’
postpurchase
satisfaction
remains
unclear.
We
find
that
lead
to
a
decline
subsequent
compared
product
not
exposed
CGIs.
Furthermore,
high
CGI
aesthetic
quality
exacerbate
negative
effect,
whereas
reviewers’
face
disclosure
can
alleviate
effect.
Through
cross-product
analyses,
we
is
more
prominent
for
experience
goods
(e.g.,
women’s
dresses)
than
search
lightning
cables).
Results
from
laboratory
experiment
show
participants
significantly
higher
expectation
disconfirmation
when
reading
reviews
ratings,
uncertainty
reduction
insignificant,
which
collectively
explains
theoretical
perspective.
These
findings
suggest
platforms
retailers
should
be
aware
potential
rating
dynamics
take
appropriate
measures
circumvent
it.
