The Role of Artificial Intelligence in Sustainable Ocean Waste Tracking and Management: A Bibliometric Analysis
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 3912 - 3912
Опубликована: Апрель 26, 2025
The
application
of
artificial
intelligence
(AI)
in
monitoring
and
managing
ocean
waste
reveals
considerable
promise
for
improving
sustainable
strategies
to
combat
marine
pollution.
This
study
performs
a
bibliometric
analysis
examine
research
trends,
knowledge
frameworks,
future
directions
AI-driven
management.
delineates
key
themes,
prominent
journals,
influential
authors,
leading
nations
contributing
the
field
by
analysing
scientific
publications
from
major
databases.
Research
citation
networks,
keyword
analysis,
co-authorship
patterns
highlights
significant
topics
such
as
AI
algorithms
detection,
machine
learning
models
predictive
mapping
pollution
hotspots,
autonomous
drones
underwater
robots
real-time
findings
indicate
growing
global
focus
on
utilising
enhance
environmental
monitoring,
optimise
reduction
methods,
support
policy
development
ecosystems.
provides
comprehensive
current
landscape,
identifies
gaps,
underscores
importance
crucial
enabler
management,
offering
vital
insights
researchers,
industry
leaders,
policymakers
dedicated
preserving
health.
Язык: Английский
THE RELATIONSHIP MODEL OF FEAR OF COVID-19, TRAVEL ANXIETY, AND RISK ATTITUDE TOWARD TRAVEL INTENTION IN THE NEW NORMAL ERA: A STUDY OF MARINE TOURISM IN THE EASTERN SALIENT OF JAVA, INDONESIA
Jurnal Ekonomi Bisnis dan Kewirausahaan,
Год журнала:
2024,
Номер
12(3), С. 399 - 399
Опубликована: Март 14, 2024
The
COVID-19
pandemic
had
influenced
the
global
economy,
including
Indonesia’s
tourism
industry.
inability
to
mitigate
these
challenges
substantially
jeopardized
sustainability
of
tourism,
with
social
and
economic
consequences.
This
present
study
examines
a
case
marine
in
eastern
salient
Java,
one
most
popular
places
Java
Island,
determine
relationship
between
fear
COVID-19,
travel
anxiety,
risk
attitude
toward
intention.
employed
quantitative
method.
data
was
collected
through
surveys
distributed
online
via
google
form
analyzed
using
structural
equation
modeling
–
partial
least
square
(SEM-PLS)
SmartPLS
3.0.
results
show
that
has
positive
impact
on
but
not
attitude;
anxiety
both
intention;
intention,
does
not.
significant
while
no
These
findings
suggest
Ministry
Tourism
Creative
Economy
Republic
Indonesia
need
evaluate
monitor
operation
destinations,
as
well
continuing
disseminate
information
about
safe
during
new
normal
era.JEL:
Z33,
M31.
Язык: Английский
Sustainability in Business: Profitable Strategies for a Greener Future
Studies in systems, decision and control,
Год журнала:
2024,
Номер
unknown, С. 123 - 129
Опубликована: Янв. 1, 2024
Язык: Английский
Redefining Success of the Tourism Sector Through Technological Advancements
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 201 - 214
Опубликована: Окт. 15, 2024
This
study
focuses
on
the
transformational
impact
of
technology
tourism
sector.
The
contribution
digital
platforms,
social
media,
and
virtual
reality
destination
marketing
strategies
promotion
active
traveler
participation
is
explored
in
this
study.
role
smart
technologies
enhancing
personalization
improved
customer
service
sector
also
studied.
importance
inclusive
design,
assistive
technology,
accessibility
providing
equal
opportunities
to
individuals
with
disabilities
or
unique
needs
further
examined.
Besides,
considers
optimizing
operational
management
functions
within
includes
process
transformation
workflow
optimization,
performance
expectations,
ability
make
data-driven
decisions.
Furthermore,
reiterates
responsible
innovation
that
focused
sustainability,
inclusiveness,
ethical
equity
redefining
notion
success
times.
Язык: Английский