Risks and Benefits of Future Travel with Hyperloop: A Multi-Analytical Approach
Journal of Travel Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 23, 2025
Despite
significant
government
investment
in
Hyperloop
transportation
across
various
countries,
research
on
its
potential
advantages
and
drawbacks
from
the
tourist’s
perspective
remains
scarce.
Guided
by
prospect
theory,
this
study
examines
perceptions
behaviors
of
frequent
(
n
=
386)
occasional
214)
travelers
regarding
technology,
using
multiple
analytical
methods
such
as
partial
least
squares
structural
equation
modeling
(PLS-SEM),
multi-group
analysis
(MGA),
fuzzy-set
Qualitative
Comparative
Analysis
(fsQCA),
artificial
neural
networks
(ANN).
The
explores
how
four
perceived
benefits
(economic,
environmental,
socio-cultural,
time-saving)
risks
(functional,
physical,
psychological,
financial
concerns)
influence
travelers’
intentions
to
use
for
tourism.
PLS-SEM
MGA
analyses
indicate
that
prioritize
time-saving,
while
economic,
socio-cultural
benefits,
functional
decisions.
Additionally,
fsQCA
findings
identify
distinct
benefit-risk
combinations
affecting
travel
decisions,
deep
learning
models
highlight
critical
factors
predicting
adoption.
This
provides
theoretical
insights
practical
strategies
integrating
into
tourism
planning
management.
Язык: Английский
Making tourism smart in the age of artificial intelligence
Current Issues in Tourism,
Год журнала:
2025,
Номер
unknown, С. 1 - 5
Опубликована: Фев. 5, 2025
Язык: Английский
Digital happiness in tourism: towards a conceptual framework
Current Issues in Tourism,
Год журнала:
2025,
Номер
unknown, С. 1 - 10
Опубликована: Янв. 17, 2025
This
research
note
scrutinises
the
ambivalent
dimensions
of
digital
technology
within
realm
tourism,
highlighting
its
complex
interaction
with
physical
engagement.
By
exploring
existing
literature
on
evolving
landscape
tourism
experiences
through
an
interdisciplinary
approach,
this
paper
recognises
that
current
analysis
use
in
often
remains
biased
and
narrow.
Furthermore,
despite
ongoing
debates
surrounding
well-being,
discussions
have
been
largely
restricted
to
utility,
emotional
use,
moderation
resources.
Drawing
philosophical
insights
from
Chinese
classic
I-Ching,
which
offers
a
holistic
understanding
happiness
contemporary
era
domain,
provides
comprehensive
theoretical
blueprint
for
tourism.
robust
framework
aims
elucidate
harmonious
integration
elements
into
landscape.
Язык: Английский
Embracing sustainable diversity climates in hospitality and tourism: insights from prospective employees on human–robot collaboration
Journal of Sustainable Tourism,
Год журнала:
2025,
Номер
unknown, С. 1 - 21
Опубликована: Фев. 11, 2025
As
service
robots
increasingly
collaborate
with
human
employees
in
hospitality
and
tourism,
understanding
their
complex
interactions
is
crucial.
This
study
explores
prospective
employees'
perceptions
of
sustainable
diversity
climates
involving
human–robot
collaboration
using
the
Modified
Model
Goal-Directed
Behavior
(MMGB).
A
research
model
integrating
attitude,
subjective
norms,
expectancy,
perceived
behavioral
control,
desire
was
tested
through
an
online
survey
492
potential
US
employees.
Generalized
Linear
Modeling
fuzzy-set
Qualitative
Comparative
Analysis
were
applied
to
find
solutions
for
better
climates.
Results
show
that
these
factors
influence
sustainable-behavioral
intentions,differing
according
groups
development
goals
(SDGs).
Three
SDG
(efficient
allocation,
fair
distribution,
scale)
found
have
distinctiveness
similarities.
Our
findings
suggest
communicating
MMGB's
initiatives,
fostering
innovation,
tailoring
recruitment
strategies
sustainability-oriented
segments
are
key
cultivating
inclusive,
future-oriented
workplaces.
Язык: Английский
ChatGPT and Tourist Decision‐Making: An Accessibility–Diagnosticity Theory Perspective
International Journal of Tourism Research,
Год журнала:
2024,
Номер
26(5)
Опубликована: Сен. 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.
Язык: Английский
Good deeds deserve good outcomes: Leveraging generative artificial intelligence to reduce tourists' avoidance of ethical brands embracing stigmatized groups
Annals of Tourism Research,
Год журнала:
2024,
Номер
110, С. 103889 - 103889
Опубликована: Дек. 11, 2024
Язык: Английский
Synthetic WOM? The Emergence of Generative Artificial Intelligence-Induced Recommendations
Journal of Computer Information Systems,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Окт. 25, 2024
This
paper
examines
how
Generative
Artificial
Intelligence
(GAI)
influences
word-of-mouth
(WOM)
in
travel
and
hospitality,
focusing
on
synthetic
WOM
(syWOM).
It
explores
GAI-driven
reshapes
traveler
interactions
decision-making
an
experience-centric
industry.
Using
a
literature
review
conceptual
analysis
approach1,
this
study
the
integration
of
GAI
tools,
such
as
ChatGPT,
to
enhance
experiences.
The
presented
highlights
GAI's
potential
inducing
syWOM
its
effects
perceptions
behaviors.
Additionally,
it
addresses
emerging
role
WOM,
emphasizing
need
for
further
research
impact
planning
engagement.
presents
fresh
view
interaction
with
travel,
aiming
inform
future
practical
applications
personalized
Язык: Английский