Journal of Computer Information Systems,
Год журнала:
2024,
Номер
unknown, С. 1 - 16
Опубликована: Июнь 13, 2024
Boutique
hotels
are
highly
desirable
due
to
their
personalized
service.
However,
studies
have
not
examined
differentiating
factors
of
boutique
that
could
explain
the
nuances
this
profitable
niche
in
hospitality
industry.
It
is
also
difficult
ascertain
customers'
needs
through
feedback
and
surveys
as
they
do
explicitly
highlight
reasons
for
satisfaction
or
dissatisfaction.
In
study,
we
attempt
assess
12,949
user
reviews
collected
from
TripAdvisor
understand
drivers
stay
experience
satisfaction.
We
use
a
natural
language
processing
(NLP)-based
methodology
extract
important
themes
information
predict
star
ratings.
This
paper
demonstrates
ease
booking
an
determinant
satisfaction;
while
service,
facilities/amenities,
major
causes
dissatisfaction
guests.
Further,
compared
US
UK
markets
discovered
market
favors
experiences
prefers
more
amenities.
Journal of Retailing and Consumer Services,
Год журнала:
2022,
Номер
70, С. 103157 - 103157
Опубликована: Окт. 6, 2022
The
COVID-19
pandemic
has
triggered
a
set
of
government
policies
and
supermarket
regulations,
which
affects
customers'
grocery
shopping
behaviours.
However,
the
specific
impact
on
retailers
at
customer
end
not
yet
been
addressed.
Using
text-mining
techniques
(i.e.,
sentiment
analysis,
topic
modelling)
time
series
we
analyse
161,921
tweets
from
leading
UK
supermarkets
during
first
lockdown.
results
show
causes
change
in
each
how
perception
changes
according
to
supermarkets'
response
actions.
Drawing
social
media
crisis
communication
framework
Situational
Crisis
Communication
theory,
this
study
investigates
whether
responding
helps
retail
managers
better
understand
their
customers.
uncover
that
customers
experiencing
certain
interactions
may
evaluate
attributes
differently,
resulting
varying
levels
information
collection,
companies
could
benefit
engaging
with
As
new
variants
keep
appearing,
emerging
managerial
problems
put
businesses
risk
for
next
crisis.
Based
analysis
consumer
perceptions,
identifies
topics
sector
context
develop
sub-dimensions
service
quality
assessment
into
four
categories:
physical
aspects,
reliability,
personal
interaction,
policies.
This
reveals
use
data
behaviour
sustain
competitiveness
by
upgrading
strategies
provision.
It
also
sheds
light
future
researchers
can
leverage
power
multiple
methodologies.
Journal of Retailing and Consumer Services,
Год журнала:
2022,
Номер
67, С. 102964 - 102964
Опубликована: Фев. 21, 2022
This
study
explores
the
influence
of
intra-pandemic
perceptions
on
travellers'
post-pandemic
hotel
booking
behaviour
among
crisis-resistant
travellers
and
crisis-sensitive
groups.
It
also
examines
moderating
role
mortality
threats
religiosity
these
behaviours.
We
collected
quantitative
data
utilising
survey
method
via
questionnaires
to
address
various
levels
research.
used
PLS-SEM
evaluate
our
proposed
model.
from
1580
who
had
booked
hotels
in
Egypt.
Our
indicated
that
perception
has
a
stronger
effect
behaviours
if
are
less
religious
feel
deeply
threatened
by
idea
their
own
level
mortality.
Moreover,
it
revealed
association
with
planned
for
chose
cancel
plans.
emergency
public
information
plays
critical
influencing
behaviour.
offers
effective
strategies
aid
hospitality
tourism
practitioners
when
risky
threating
situations
such
as
COVID-19
arise,
specifically
period
response
recovery.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery,
Год журнала:
2024,
Номер
14(5)
Опубликована: Июль 4, 2024
Abstract
The
application
of
machine
learning
techniques
in
the
field
tourism
is
experiencing
a
remarkable
growth,
as
they
allow
to
propose
efficient
solutions
problems
present
this
sector,
by
means
an
intelligent
analysis
data
their
specific
context.
increase
work
requires
exhaustive
through
quantitative
approach
research
activity,
contributing
deeper
understanding
progress
field.
Thus,
different
approaches
will
be
analyzed,
such
planning,
forecasting,
recommendation,
prevention,
and
security,
among
others.
As
result
analysis,
other
findings,
greater
impact
supervised
tourism,
more
specifically
those
based
on
neural
networks,
has
been
confirmed.
results
study
would
researchers
not
only
have
most
up‐to‐date
accurate
overview
but
also
identify
appropriate
apply
domain
interest,
well
similar
with
which
compare
own
solutions.
This
article
categorized
under:
Application
Areas
>
Society
Culture
Technologies
Machine
Learning
Business
Industry
