Current Issues in Tourism,
Год журнала:
2024,
Номер
unknown, С. 1 - 19
Опубликована: Ноя. 17, 2024
Researchers
are
increasingly
interested
in
consumer
acceptance
and
adoption
of
artificial
intelligence
devices,
but
an
integrated
approach
remains
underexplored.
This
study
uses
Stimulus-Organism-Response
theory
as
a
theoretical
framework,
builds
model
based
on
81
empirical
studies,
examines
the
role
macro-moderating
variables.
The
results
show
that
stimulus
factors
affect
consumers'
intentions
through
central
peripheral
pathways.
Notably,
identified
differences
impact
negative
positive
pointed
out
culture-related
macro-factors
play
limited
moderating
role.
Finally,
this
provides
suggestions
for
future
research
by
summarising
gaps
previous
practical
recommendations
stakeholders
hospitality
industry
conclusions.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 95368 - 95389
Опубликована: Янв. 1, 2024
The
increasing
integration
of
ChatGPT,
a
Generative
Artificial
Intelligence
(Gen-AI)
model,
into
educational
environments
has
sparked
substantial
ethical
concerns.
This
paper
addresses
the
crucial
question
whether
to
impose
restrictions
or
legislate
usage
Gen-AI,
with
ChatGPT
as
pivotal
case
study.
Through
systematic
literature
review
and
frequency
occurrence
analysis,
10
concerns
were
selected
for
further
analysis
using
Analytic
Hierarchy
Process
(AHP).
responses
expert
panels
show
that
top
concerns,
revealed
by
their
weights,
after
meeting
consistency
requirement,
include
copyright,
legal,
compliance
issues
(0.1731),
privacy
confidentiality
(0.1286),
academic
integrity
(0.1206),
incorrect
reference
citation
practices
(0.1111),
safety
security
(0.1050).
Evaluating
impact
these
on
policy
alternatives
(restriction
legislation),
findings
"Restriction"
received
higher
weight
(0.513712)
compared
"Legislation"
(0.485887).
Notably,
issues,
confidentiality,
emerged
factors
influencing
decision
between
restriction
legislation.
study
offers
valuable
insights
institutions
policymakers,
suggesting
need
inclusive
discussions,
pilot
programs
assess
impacts
critical
thinking,
development
clear
guidelines,
flexible
regulatory
frameworks,
awareness
campaigns,
potential
strategies
responsible
use.
Worldwide Hospitality and Tourism Themes,
Год журнала:
2024,
Номер
16(2), С. 232 - 247
Опубликована: Апрель 23, 2024
Purpose
Artificial
intelligence
is
one
of
the
most
significant
and
active
fields
study
in
last
few
years.
intelligence-derived
robotic
technologies
known
as
chatbots
are
gaining
interest
from
both
academic
industry
sectors.
By
analyzing
development
patterns
research
on
chatbot
phenomena
within
tourism
field,
this
seeks
to
develop
a
theoretical
framework
for
interaction
between
tourism.
Design/methodology/approach
The
Web
Science
(WoS)
database’s
33
articles
related
travel
hospitality
were
examined
2019
2024
using
VOSviewer
software
bibliometric
thematic
content
analysis.
Findings
Research
appears
be
its
early
stages.
factors
influencing
tourists'
intentions
use
have
been
thoroughly
researched;
attitudes,
perceptions
behavioral
destinations,
agencies
restaurant
patrons
regarding
examined,
it
was
found
that
quantitative
approach
dominant.
In
addition,
majority
studies
based
particular
theory
or
model.
Originality/value
This
first
attempts
directly
comprehend
depict
interconnected
structures
through
network
Furthermore,
study’s
findings
can
offer
academics
comprehensive
viewpoint
reference
manual
more
accurate
assessment
oversight
chatbot-tourism
interaction.
Regarding
lack
topic
fragmented
structure
exist,
imperative
provide
overview
roadmap
future
investigations
into
usage
sector.
Aslib Journal of Information Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 13, 2025
Purpose
Chatbots
are
increasingly
embodied
in
business
and
IS
contexts
to
enhance
customer
user
experience.
Despite
wide
interest
chatbots
among
academics,
surprisingly,
there
no
current
comprehensive
reviews
reveal
the
knowledge
structure
of
chatbot
research
such
areas.
Design/methodology/approach
This
study
employed
a
mixed-method
approach
that
combines
systematic
review
bibliometric
analysis
provide
synthesis
research.
The
sample
was
obtained
December
2023
after
searching
across
six
databases:
EBSCOhost,
PsycINFO,
Web
Science,
Scopus,
ACM
Digital
Library
IEEE
Computer
Society
Library.
Findings
reveals
major
trend
publication
trends,
countries,
article
performance
cluster
distribution
We
also
identify
key
themes
research,
which
mainly
focus
on
how
users
interact
with
their
consequences,
as
users’
cognition
behavior.
Moreover,
several
important
agendas
have
been
discussed
address
some
limitations
fields.
Originality/value
present
is
one
first
attempts
systematically
ongoing
map
fields,
makes
contributions
provides
useful
resources
for
future
practice.
International Journal for Tourism, Archaeology and Hospitality,
Год журнала:
2024,
Номер
4(1), С. 186 - 212
Опубликована: Янв. 1, 2024
This
paper
investigates
the
impact
of
AI-based
chatbot
technology
experiences
on
customer
loyalty
and
word-of-mouth
(WOM)
in
hotel
context.This
highlights
pivotal
role
satisfaction
as
a
mediation
boundary
underlying
linkages.Using
an
online
survey
Google
Form,
310
five-star
guests
within
Greater
Cairo
responded.Their
responses
were
analyzed
using
partial
least
squares
structural
equation
modeling
(PLS-SEM).This
employed
multidimensional
approach,
exploring
various
aspects
with
chatbots
their
subsequent
effects
outcomes.Findings
revealed
that
positively
affected
satisfaction.Besides,
WOM
by
satisfaction.Further,
partially
mediated
nexuses
between
both
WOM.Accorsingly,
this
contributes
valuable
insights
to
understanding
focal
shaping
perceptions
behaviors
hospitality
context.Therefore,
analyzing
feedback
will
allow
properties
improve
interactions
prospective
customers
better
match
preferences
encourage
satisfied
share
positive
online.Furthermore,
training
awareness
programs
can
help
maximize
potential
chatbots,
enhancing
immersive
experiences.Lastly,
implementing
personalization
strategies
(e.g.,
tailoring
based
guests'
preferences)
enhance
about
these
experiences.
