Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 30
Опубликована: Авг. 14, 2024
Corporate
Social
Responsibility
(CSR)
and
Environmental,
Social,
Governance
(ESG)
concepts
have
undergone
significant
evolution
over
the
decades.
A
closer
look
at
of
these
on
a
country
basis
would
achieve
better
comprehension
nations'
standpoints
direction
in
which
CSR
ESG
are
advancing.
This
study
looks
thematic
trajectory
corporate
social
responsibility
environmental,
social,
governance
five
different
regions:
United
States,
Kingdom,
Italy,
China,
India.
Using
data
analysis
techniques
facilitated
by
R
software,
examines
patterns
from
2001
to
2024
identify
shifts
discourse.
We
find
that
developed
countries
focus
sustainability
reporting,
with
US
preferring
UK
Italy
progressing
toward
disclosure
practices.
The
emerging
markets
heavily
inclined
towards
ratings,
although
remains
be
nascent
stage.
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi,
Год журнала:
2025,
Номер
14(1), С. 180 - 191
Опубликована: Март 26, 2025
Bibliometric
analysis
is
a
popular
methodology
in
recent
years
that
provides
valuable
insights
for
literature
and
researchers
by
visualizing
interesting
trends,
relationship
patterns,
information
flow
research
areas.
This
study
aims
to
evaluate
the
publication
author
contributions,
institutional
collaborations,
citation
dynamics
of
this
field
examining
integration
Multi-Criteria
Decision
Making
(MCDM)
Artificial
Intelligence
(AI)
with
bibliometric
methods.
optimizes
complex
decision-making
processes
faster,
consistent,
effective
solutions.
The
was
performed
using
performance
science
mapping
techniques.
Data
were
collected
from
WoS
database
993
articles
covering
period
1992
2024
analyzed.
Co-citation,
keyword
co-occurrence,
co-authorship
analyses
visualized
VOSviewer
software.
Accordingly,
India,
China
Iran
stand
out
as
countries
most
publications,
while
Indian
Institute
Technology
has
highest
contribution.
‘Annals
Operations
Research’
‘Expert
Systems
Applications’
among
frequently
cited
journals.
University
Sydney
King
Abdulaziz
stood
collaboration.
study,
which
insights,
pioneering
performs
AI-MCDM
methods,
especially
terms
title
emphasis
some
findings
obtained.
Systems,
Год журнала:
2025,
Номер
13(5), С. 333 - 333
Опубликована: Май 1, 2025
The
tourism
industry’s
explosive
growth
has
triggered
severe
carbon
emission
issues,
making
enhancing
efficiency
(TCE)
a
pressing
concern
for
achieving
sustainable
development.
widespread
application
of
artificial
intelligence
(AI)
in
presents
new
opportunities.
This
study
applies
the
Environmental
Kuznets
Curve
(EKC)
theory
to
examine
pathways
and
mechanisms
AI’s
impact
on
TCE,
with
focus
China.
findings
reveal
that
AI
significantly
enhances
where
improvements
labor
productivity,
rationalization
industry
structure,
advancements
technology
are
key
channel
mechanisms.
Heterogeneity
tests
indicate
substantially
boosts
TCE
eastern
developed
regions
areas
deficient
resource
endowments.
Furthermore,
exhibits
significant
spatial
spillover
effects,
both
local
neighboring
regions’
TCE.
These
insights
provide
crucial
policy
implications
utilizing
promote
China’s
industry.
Polish Journal of Environmental Studies,
Год журнала:
2024,
Номер
33(5), С. 5677 - 5692
Опубликована: Июнь 26, 2024
The
Chinese
government
is
constantly
pursuing
a
green
transformation
of
its
industry
under
the
United
Nations
Sustainable
Development
Goals
(SDGs).At
same
time,
booming
digital
economy
has
brought
new
opportunities
and
challenges
to
government,
it
relevant
discuss
contribution
China's
development.In
this
study,
we
use
panel
data
for
247
cities
in
China
from
2011-2019.The
impact
on
total
factor
productivity
examined,
mechanism
technological
innovation
process
verified.It
been
found
that
can
promote
GTFP
positive
moderating
role
process.We
also
verify
threshold
effect
innovation,
be
inflated
when
reaches
corresponding
threshold.Of
course,
these
findings
pass
series
robustness
tests,
they
are
plausible.Accordingly,
put
forward
some
policy
recommendations
mitigate
possible
problems
reality
order
production
China.
Cogent Business & Management,
Год журнала:
2024,
Номер
11(1)
Опубликована: Фев. 8, 2024
This
scholarly
investigation
explores
the
complex
correlation
between
corporate
governance
and
artificial
intelligence
(AI),
recognizing
dynamic
nature
of
digital
revolution.
The
research
consists
two
primary
interactions:
initial
interaction
explicates
importance
governance,
subsequent
one
examines
incorporation
applications
into
frameworks.
By
utilizing
a
descriptive
analytical
approach,
this
study
extent
to
which
current
legal
frameworks
are
congruent
with
opportunities
challenges
presented
by
transformation.
function
AI
in
reducing
risks
associated
unethical
financial
managerial
practices
is
concern,
as
it
contributes
ethical
fortification
nations
businesses.
results
emphasize
criticality
for
organizations
strictly
comply
regulations,
highlighting
compliance
fundamental
element
demonstrating
well-being,
promoting
expansion,
fortifying
competitiveness
sphere.
findings
have
significant
ramifications
both
policymakers
organizations.
Policymakers
should
adopt
proactive
strategy
utilize
AI’s
capabilities,
improving
effectively
navigating
intricacies
age.
