Generative AI insights in tourism and hospitality: A comprehensive review and strategic research roadmap
Tourism and Hospitality Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 24, 2024
This
study
used
bibliometric
analysis
and
a
systematic
literature
review
(SLR)
to
examine
how
the
tourism
hospitality
industries
use
generative
artificial
intelligence
(GAI),
identifying
developed
patterns,
theoretical
frameworks,
strengths
limitations,
future
research
challenges.
We
conducted
using
Scopus
database,
adhering
PRISMA
principles.
analyzed
sample
of
25
articles
published
between
2019
2023
through
narrative
synthesis
VOSviewer
software,
tool
for
visualizing
network
analysis.
The
USA,
China,
India,
Saudi
Arabia
are
major
countries
engaged
in
GAI
hospitality.
Significant
topics
emphasize
decision-making,
chatbots,
deep
learning,
sentiment
analysis,
mainly
Technology
Acceptance
Model
(TAM),
Stimulus-Organism-Response
(S-O-R),
Human-Computer
Interaction
(HCI)
frameworks.
applications
demonstrate
strength
improving
user
experience
operational
efficiency,
though
gaps
exist
scope,
ethics,
technology
performance,
collaboration
humans
AI.
study,
therefore,
provides
fundamental
foundation
understanding
current
status
by
pointing
out
some
trends
areas
that
require
further
investigation
ensure
responsible
effective
integration
AI
within
industry.
Язык: Английский
Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic
BMC Infectious Diseases,
Год журнала:
2024,
Номер
24(1)
Опубликована: Авг. 8, 2024
Assessment
of
artificial
intelligence
(AI)-based
models
across
languages
is
crucial
to
ensure
equitable
access
and
accuracy
information
in
multilingual
contexts.
This
study
aimed
compare
AI
model
efficiency
English
Arabic
for
infectious
disease
queries.
Язык: Английский
Mapping the evolution of GPT-4o innovations: An analytical exploration of progress, applications, and horizons
Revista Cientifica de Sistemas e Informatica,
Год журнала:
2025,
Номер
5(1), С. e881 - e881
Опубликована: Янв. 20, 2025
Artificial
intelligence
is
transforming
various
sectors,
with
OpenAI's
GPT-4o
as
a
key
innovation
in
natural
language
processing.
Its
impact
on
healthcare,
education,
and
business
makes
understanding
its
use
essential.
Clear
references
will
guide
development
application,
maximizing
transformative
potential.
This
research
employs
bibliometric
tools
to
analyze
the
adoption
evolution
of
GPT-4o.
By
examining
published
literature,
citation
networks,
keyword
co-occurrence
patterns,
it
identifies
application
domains,
emerging
trends,
collaborative
networks
driving
innovation.
The
study
highlights
GPT-4o’s
transition
from
theoretical
practical
implementation
across
disciplines.
findings
contribute
knowledge
GPT-4o,
offering
insights
into
applications
future
opportunities.
perspective
aids
researchers,
practitioners,
policymakers
leveraging
for
addressing
growth
areas
challenges,
underscores
need
strategic
utilization
maximize
potential
industries
society.
Язык: Английский
Generative AI capabilities for green supply chain management improvement: extended dynamic capabilities view
International Journal of Logistics Research and Applications,
Год журнала:
2025,
Номер
unknown, С. 1 - 28
Опубликована: Март 17, 2025
Язык: Английский
A comprehensive bibliometric analysis of speech acts in international journals (2013–2023)
Cogent Arts and Humanities,
Год журнала:
2024,
Номер
11(1)
Опубликована: Авг. 1, 2024
This
study
presents
a
comprehensive
bibliometric
analysis
of
speech
acts
within
international
scholarly
periodicals
spanning
over
period
11
years.
Employing
quantitative
approach,
the
utilizes
CiteSpace,
powerful
tool,
to
discern
and
examine
emerging
patterns,
novel
trends,
pivotal
themes
inherent
realm
as
portrayed
in
journals.
The
results
shed
light
on
nuanced
variations
these
across
various
regions,
including
China,
United
States,
England,
encompassing
spectrum
multidisciplinary
fields
such
Engineering,
psychology,
environmental
sciences,
linguistics,
literature.
While
prior
research
has
predominantly
focused
thematic
aspects
language,
philosophy,
this
emphasizes
emergence
new
trends
integrated
domains
artificial
intelligence
language
sciences.
Overall,
tends
highlight
need
integrate
approaches,
computer
science
deep
learning
with
linguistic
perspective
act
studies.
Язык: Английский
Unveiling the bright side and dark side of AI-based ChatGPT : a bibliographic and thematic approach
Journal of Decision System,
Год журнала:
2024,
Номер
unknown, С. 1 - 27
Опубликована: Окт. 11, 2024
The
current
research
endeavour
aims
to
examine
the
most
recent
advancements
pertaining
AI-powered
ChatGPT
in
scholarly
literature.
Moreover,
this
examines
both
positive
and
negative
aspects
of
utilisation
across
several
sectors
including
business,
research,
society.
data
was
collected
from
Scopus,
using
Preferred
Reporting
Items
for
Systematic
Meta-Analysis
(PRISMA)
methodology.
process
scientific
mapping
carried
out,
wherein
biblometric
thematic
analysis
conducted.
results
suggest
that
there
is
a
significant
amount
being
conducted
on
subject,
particularly
fields
healthcare
education.
Thematic
reveals
wide
range
issues,
examination
impact
technology
decision-making
processes
address
complex
business
challenges.
Theoretical
perspectives
underscore
significance
ethical
deliberations,
regulatory
structures,
interdisciplinary
cooperation,
user
instruction
advancement
implementation
Artificial
Intelligence
systems.
Язык: Английский
Transforming Education with AI: A Systematic Review of ChatGPT's Role in Learning, Academic Practices, and Institutional Adoption
Results in Engineering,
Год журнала:
2024,
Номер
unknown, С. 103837 - 103837
Опубликована: Дек. 1, 2024
Язык: Английский
Leveraging ICT and Generative AI in Higher Education for Sustainable Development: The Case of a Lebanese Private University
Administrative Sciences,
Год журнала:
2024,
Номер
14(10), С. 251 - 251
Опубликована: Окт. 8, 2024
This
study
investigates
the
interaction
of
information
and
communication
technology
(ICT)
higher
education
in
driving
sustainable
development,
with
a
special
emphasis
on
rising
significance
generative
AI
tools
such
as
ChatGPT.
quantitative
study,
conducted
Lebanese
private
university,
looks
into
impact
ICT,
specifically
AI,
promoting
sustainability
education.
A
questionnaire
was
distributed
to
university
instructors
determine
how
these
technologies
contribute
practices
academic
environments.
The
results,
which
were
evaluated
using
descriptive
statistics
correlation
analysis,
show
that
ICT
tools,
professional
instructor
upkeep
educational
infrastructure
all
considerably
Lebanon’s
development.
Furthermore,
integrating
processes
has
potential
improve
personalized
learning,
resource
efficiency,
content
production,
goals.
concludes
by
exploring
findings’
broader
implications,
acknowledging
their
shortcomings,
suggesting
future
research
possibilities.
Язык: Английский
Bibliometric Analysis of Studies on Chat GPT with Vosviewer
Black Sea Journal of Engineering and Science,
Год журнала:
2024,
Номер
7(6), С. 1194 - 1203
Опубликована: Окт. 9, 2024
Chat
GPT,
which
suddenly
entered
our
lives
at
the
end
of
2022,
is
a
large
language
model
and
has
attracted
attention
people
from
all
walks
life.
Following
this,
researchers
have
also
conducted
studies
in
many
areas
related
to
Chat-GPT
literature.
For
this
purpose,
bibliometric
data
different
types
works
scanned
Web
Science
database
published
between
2020-2024
was
taken
as
basis.
When
we
look
distribution
415
GPT
according
publication
years,
it
seen
that
most
were
produced
2024
(222
works),
2023
(186
works)
each
other
years
(2
works).
It
there
been
concentration
last
two
years;
authors
who
are
Viroj
Wiwanitkit,
Wisit
Cheungpasitporn
Jerome
R.
Lechien;
The
type
mainly
journal
article
(286),
paper
(48),
early
appearance
(45),
review
(30)
letter(6);
top
five
research
fields
examined,
found
computer
science
(101),
general
medicine
(50),
educational
(32),
surgery
(26);
leadership
publications
by
country
with
publishers
USA
(123),
China
(47),
India
(33);
primarily
English
(405),
Spanish
(6),
Portuguese
(3);
SCI-E
(227),
ESCI
(115),
SSCI
(45)
indexes
predominate.
frequently
used
keywords
following
leading
expressions:
“artificial
intelligence”
101
occurrences,
“Chat
gpt”
90
“large
models”
43
“chat
42
“ai”
29
“chat-gpt”
27
“chatbot”
17
occurrences.
Язык: Английский