Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 163 - 186
Опубликована: Апрель 3, 2024
In
the
age
of
digital
transformation,
tourism
sector
is
actively
embracing
a
technological
revolution
that
reshaping
traveler's
journey.
The
rise
smart
technologies,
collectively
known
as
“Tourism
4.0,”
presents
opportunities
to
surpass
conventional
industry
boundaries.
These
advancements
revolutionize
every
facet
travel
experience.
This
transition
towards
intelligent
not
merely
technical
adjustment;
it
represents
comprehensive
reconfiguration
aimed
at
delivering
personalized,
transparent,
and
memorable
experience
travelers.
this
article,
authors
will
delve
into
key
dimensions
Tourism
4.0,
with
specific
emphasis
on
technologies.
They
explore
advantages
these
innovations
bring
while
identifying
potential
hurdles
could
impede
their
adoption.
However,
beyond
alluring
promises
advancements,
also
address
challenges
inherent
in
adoption
particularly
concerning
resistance
change
issues
related
privacy
travelers'
personal
data.
Agriculture,
Год журнала:
2023,
Номер
13(10), С. 2023 - 2023
Опубликована: Окт. 18, 2023
The
rapid
development
of
China’s
digital
economy
has
promoted
the
transformation
Chinese
society
and
become
a
new
driving
force
for
social
development.
Furthermore,
increasing
farmers’
income
is
central
task
“three
rural
issues”
project,
integrated
primary,
secondary,
tertiary
industries
an
important
way
to
revitalize
broaden
channels,
so
it
very
promote
industries.
In
context
economy,
great
significance
study
how
promotes
integration
Therefore,
this
analyzed
by
using
panel
data
regression
models
30
provinces
(municipalities
districts)
in
China
from
2011
2021.
results
show
that
(1)
there
significant
positive
relationship
between
level
rural–industrial
process
integration;
(2)
intermediary
effect
analysis
shows
as
integration,
scientific
technological
innovation
levels
human
capital
are
channels;
(3)
spatial
can
not
only
province
but
also
have
spillover
on
neighboring
provinces.
necessary
create
good
atmosphere
constantly
pay
attention
talent
training,
coordinated
regions
order
improve
contribute
revitalization
strategy.
Worldwide Hospitality and Tourism Themes,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 9, 2025
Purpose
This
paper
examines
the
overtourism
dilemma
by
understanding
new
trends
in
Asia’s
tourism
industry
post-epidemic
era.
It
aims
to
explore
a
more
sustainable
development
model
that
provides
stakeholders
with
excellent
cutting-edge
dynamics
develop
effective
marketing
and
management
strategies.
Design/methodology/approach
explores
emerging
Asia
post-pandemic
through
literature
review
based
on
secondary
data.
More
specifically,
systematic
was
employed
reviewing
journals
era
Scopus
scientific
database
over
past
four
years
(2020–2024).
Findings
Policy
trends,
urban
morphology,
branding
strategies
tourist
norms
significantly
influence
sentiment
of
overtourism.
Rather
than
restricting
number
tourists
as
significant
strategy,
debate
suggests
(local
governments,
destination
managers,
agencies)
can
effectively
address
creating
alternative
products,
optimising
flows,
upgrading
infrastructure
mitigate
impact
tourists,
capacity-based
visitor
deploying
technology
embedded
framework.
Practical
implications
advocates
for
multidimensional
strategy
vision
high-quality,
shared
various
agency
coalitions.
Originality/value
critically
overviews
against
Asian
The
emphasis
is
eventual
need
discussions
shift
towards
models
accommodate
changing
behaviour
under
norms.
proposes
interventions
would
benefit
stakeholders.
Journal of Hospitality Marketing & Management,
Год журнала:
2024,
Номер
33(7), С. 867 - 897
Опубликована: Апрель 10, 2024
This
study
examines
the
determinants
of
blockchain
technology
adoption
in
small
and
medium
hospitality
tourism
enterprises.
also
investigates
moderating
effect
optimism.
Results
from
a
sample
550
enterprises
indicate
that
technological
factors
(i.e.,
relative
advantage
compatibility),
organizational
top
management
support,
readiness,
employee
knowledge),
environmental
competitive
pressure,
customer
government
support)
positively
affect
intention
to
adopt
technology.
These
relationships
are
moderated
by
Interestingly,
perceived
complexity
cost
insignificant
adoption.
contributes
literature
explaining
underlying
mechanism
boundary
conditions
managers'
optimism)
under
which
technological,
organizational,
predict
among
Moreover,
findings
provide
implications
for
managers
adopting
implementing
technologies.
Sustainability,
Год журнала:
2023,
Номер
15(14), С. 10911 - 10911
Опубликована: Июль 12, 2023
This
study
examines
the
influence
of
various
attributes
smart
tourism
technologies
(STTs)
on
tourists’
intentions
to
revisit
locations
and
engage
in
word-of-mouth
(WOM)
activities
regarding
emerging
rural
tourist
destinations
Iran.
A
sample
590
tourists
who
visited
these
following
COVID-19
pandemic
participated
study.
The
findings
reveal
that
three
STTs,
namely,
informativeness,
accessibility,
interactivity,
positively
contribute
memorable
experiences
(ME).
Furthermore,
ME,
satisfaction,
willingness
WOM
recommendations
are
identified
as
predictors
intention
destinations.
also
reveals
user
competence
serves
a
mediator
between
STTs
(informativeness,
interactivity)
ME.
Specifically,
with
greater
skills
knowledge
using
tend
have
more
discusses
both
theoretical
practical
implications
findings.
Journal of Tourism Theory and Research,
Год журнала:
2025,
Номер
11(1), С. 1 - 8
Опубликована: Янв. 26, 2025
This
study
explores
the
transformative
role
of
technology
in
tourism
industry
post-Covid-19,
focusing
on
opportunities
and
challenges.
Using
a
qualitative
research
approach,
in-depth
interviews
with
22
professionals
reveal
significant
shifts
towards
digital
solutions.
The
findings
highlight
acceleration
transformation,
enhancing
customer
experience,
operational
efficiency,
competitive
advantage.
Technologies
such
as
virtual
reality,
artificial
intelligence,
data
analytics
have
become
essential,
offering
immersive
experiences
personalized
services.
However,
challenges
high
implementation
costs,
skills
gaps,
privacy
concerns
persist.
underscores
critical
ensuring
resilience
sustainability
sector
rapidly
evolving
environment.
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
ABSTRACT
Social
media
has
emerged
as
a
powerful
catalyst
in
promoting
sustainable
tourism
development
(STD)
by
raising
awareness,
attracting
tourists,
fostering
community
engagement,
and
shaping
policy
decisions,
particularly
developing
regions
like
Khyber
Pakhtunkhwa
(KPK),
Pakistan.
However,
the
combined
influence
of
social
usage,
non‐governmental
organization
(NGO)
support,
STD
remains
underexplored.
This
study,
grounded
organizational
learning
theory,
explores
how
NGO
collaboration
contribute
to
ecotourism
The
socioeconomic
framework
Pakistan,
KPK
region,
forms
background
against
which
local
dynamics
shape
such
processes.
A
cross‐sectional
survey
was
conducted,
collecting
data
from
482
respondents
sector,
providing
valuable
insights
into
region's
socio‐economic
context.
approach
captures
diverse
stakeholder
perceptions
within
sector.
findings
reveal
that
significantly
influences
policy,
advancing
STD.
Moreover,
support
(NGS)
serves
crucial
moderating
factor,
enhancing
role
effective
policies.
research
offers
leveraging
partnerships
promote
practices,
presenting
practical
implications
for
policymakers,
practitioners,
researchers
dedicated
environmental
sustainability.
In
particular,
this
study
highlights
infrastructural
technological
challenges
applying
effectively
countries.
unique
contribution
is
its
focus
on
media's
region—a
context
largely
underrepresented
existing
literature.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 15, 2025
With
the
rapid
advancement
of
information
and
communication
technologies,
smart
tourism
has
become
a
crucial
means
for
improving
quality
services
enhancing
economic
efficiency
in
sector.
This
work
proposes
an
analysis
method
based
on
artificial
neural
network
to
predict
tourist
behavior
patterns
through
big
data
analysis,
thereby
optimizing
allocation
resources.
The
begins
by
collecting
various
types,
including
basic
visitor
information,
consumption
records,
satisfaction
evaluations,
from
well-known
destination
as
research
samples.
By
carefully
configuring
parameters
such
learning
rate,
batch
size,
optimizers,
develops
efficient
model.
Experimental
validation
using
real-world
demonstrates
that
model
excels
across
several
performance
metrics,
accuracy,
recall,
precision,
F1
score,
shows
significant
advantages
over
traditional
statistical
methods.
In
addition,
survey
results
show
users
are
highly
satisfied
with
personalized
service
recommendations,
resource
optimization,
overall
user
experience,
75%
expressing
satisfaction.
not
only
makes
academic
contribution
field
but
also
potential
experience.