Sustainability,
Год журнала:
2024,
Номер
16(5), С. 1790 - 1790
Опубликована: Фев. 22, 2024
Digital
transformation
systems
generate
a
substantial
volume
of
data,
creating
opportunities
for
potential
innovation,
particularly
those
driven
by
artificial
intelligence.
This
study
focuses
on
the
intricate
relationship
between
intelligence
and
innovation
as
foundational
elements
in
digital
framework
sustained
growth
operational
excellence.
provides
holistic
perspective
cultivation
pillars
AI-powered
highlighting
their
pivotal
role
revolutionizing
industries,
including
healthcare,
education,
finance,
manufacturing,
transportation,
agriculture.
The
work
emphasizes
key
essential
fostering
monitoring
performance
measurement
to
use
power
present,
continuous
learning
data
analytics
insights,
predictive
analytics,
innovative
product
development.
investigates
how
these
serve
foundation
groundbreaking
advancements,
driving
efficiency,
enhancing
decision-making
processes,
creativity
within
organizations.
explores
significance
learning,
interdisciplinary
collaboration,
industry
partnerships
nurturing
thriving
ecosystem.
By
understanding
harnessing
fundamental
elements,
businesses
can
navigate
complexities
age,
that
not
only
optimizes
processes
but
also
enhances
overall
human
experience,
ushering
new
era
technological
excellence
societal
progress.
Sustainability,
Год журнала:
2023,
Номер
15(18), С. 13506 - 13506
Опубликована: Сен. 9, 2023
The
United
Nations
Development
Summit
in
2015
adopted
the
“2030
Agenda
for
Sustainable
Development”,
establishing
a
framework
Goals
(SDGs)
with
aim
of
achieving
coordinated
economic,
social,
and
ecological
development
worldwide
by
2030.
“environmental,
governance”
(ESG)
approach
is
important
within
concept
SDGs
subject
increasing
attention
from
scholars.
Despite
China’s
significant
contributions
to
SDGs,
it
still
faces
numerous
challenges
terms
environmental
governance
development.
With
ongoing
digital
technology,
many
Chinese
enterprises
aspire
harness
dividends
transformation
order
achieve
SDGs.
In
this
study,
we
help
companies
understand
how
they
can
improve
their
ESG
performance
through
transformation.
We
use
sample
A-share
listed
China
2011
2020
construct
index
profiling
frequency
digital-related
words
companies’
annual
reports
using
textual
analysis.
Furthermore,
empirically
examine
direct
effect
on
level
disclosure
explore
mediating
dynamic
capabilities
impact
performance.
Empirical
testing
reveals
that
indeed
has
positive
enterprises’
performance,
technology
innovation
enhance
such
as
green
innovation,
social
responsibility,
operational
management.
findings
indicate
need
actively
develop
promote
technologies
obtain
benefits
transformation,
company
executives
including
advanced
decision-making
processes
an
effort
management
efficiency,
thereby
improving
Digital
transformation
systems
generate
a
substantial
volume
of
data,
creating
opportunities
for
potential
innovation,
particularly
those
driven
by
artificial
intelligence.
This
study
focuses
on
the
intricate
relationship
between
intelligence
and
innovation
as
foundational
elements
in
digital
framework
sustained
growth
operational
excellence.
provides
holistic
perspective
cultivation
pillars
AI-powered
highlighting
their
pivotal
role
revolutionizing
industries,
including
healthcare,
education,
finance,
manufacturing,
transportation,
agriculture.
The
work
emphasizes
key
essential
fostering
monitoring
performance
measurement
to
use
power
present,
continuous
learning
data
analytics
insights,
predictive
analytics,
innovative
product
development.
investigates
how
these
serve
foundation
groundbreaking
advancements,
driving
efficiency,
enhancing
decision-making
processes,
creativity
within
organizations.
explores
significance
learning,
interdisciplinary
collaboration,
industry
partnerships
nurturing
thriving
ecosystem.
By
understanding
harnessing
fundamental
elements,
businesses
can
navigate
complexities
age,
that
not
only
optimizes
processes
but
also
enhances
overall
human
experience,
ushering
new
era
technological
excellence
societal
progress.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 18451 - 18472
Опубликована: Янв. 1, 2024
Digital
government
has
become
a
key
strategic
choice
for
achieving
sustainable
development
globally.
How
governments
can
effectively
promote
digital
transformation
and
is
major
issue
that
needs
to
be
addressed.
Of
these,
the
stunted
of
in
developing
countries
more
notable
issue.
To
this
end,
"Pressure-Action-Resources"
analytical
framework
was
constructed
based
on
"Pressure-Response"
model.
Using
31
provinces
(cities
districts)
China
between
2015
2021
as
research
sample,
dynamic
QCA
method
used
analyze
multifaceted
paths
drive
government.
The
results
study
show
(1)
influence
single
condition
an
obvious
asymmetric
causality
effect.
Technology
management
capabilities
data
open
are
gradually
be-coming
necessary
further
characteristic
"multiple
concurrency"
multiple
equivalent
paths.
Among
them,
there
three
types
driving
high-level
government,
namely,
Timely
Transformation
model,
"Pressure-Resource"
Pro-active
(3)
Each
driver
pathway
clearly
influenced
by
strategy
public
health
emergencies
at
certain
points
time.
(4)
Substitution
effects
some
conditions.
Under
conditions,
attention
technology
substituted
each
other.
In
addition,
under
pressure
intergovernmental
competition
other
with
combination
conditions
citizen
demand
attention.
above
findings
enrich
perceptions
existing
provide
useful
insights
into
how
better
implement
policies.
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 2667 - 2667
Опубликована: Март 24, 2024
Enterprise
digital
transformation
stands
as
a
pivotal
driving
force
for
urban
economic
sustainable
development.
Investigating
the
role
of
government
policies
in
fostering
growth
through
enterprise
is
essential
guiding
governments
more
targeted
pursuit
development
policies.
Utilizing
establishment
big
data
administration
bureau
quasi-natural
event
and
leveraging
on
A-share
listed
companies
from
2012
to
2022,
this
study
scrutinizes
whether
construction
effectively
stimulates
and,
consequently,
promotes
Benchmark
regression
results
unequivocally
demonstrate
that
significantly
propel
transformation.
Mechanism
analysis
elucidates
facilitates
by
enhancing
business
environment
mitigating
influence
information
search
costs.
Heterogeneity
underscores
factors
such
city’s
area
location,
administrative
level,
level
policy
effects.
Notably,
impact
pronounced
central
western
cities,
provincial
capitals,
cities
with
lower
Economic
consequence
reveals
play
crucial
enterprises.
Heliyon,
Год журнала:
2024,
Номер
10(8), С. e29040 - e29040
Опубликована: Апрель 1, 2024
Many
studies
have
examined
the
influence
of
digital
technologies,
such
as
robots
and
artificial
intelligence,
on
enterprise
labor,
but
few
investigated
underlying
mechanisms
impact
paths
empowerment
labor
employment.
Therefore,
this
study
uses
data
manufacturing
enterprises
listed
China's
Shanghai
Shenzhen
A-share
markets
from
2011
to
2020,
applies
a
panel
fixed
effect
model
test
relationship
between
employment,
relationship.
We
find
that
increases
However,
effects
are
heterogeneous:
firms
with
better
corporate
governance,
more
competitive
industry,
less
favorable
regional
business
environments
motivated
optimize
structure
their
resources.
Through
robustness
mediation
test,
we
can
improve
human
capital
by
increasing
economies
scale
managerial
efficiency,
especially
employment
R&D
innovation
personnel
management
personnel;
it
also
affect
amount
improving
total
factor
productivity.
International Journal of Finance & Economics,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 10, 2025
ABSTRACT
In
the
context
of
frequent
trade
frictions
and
geopolitical
conflicts,
increase
in
economic
policy
uncertainty
highlights
application
value
digital
technologies.
Digital
finance
business
development
originates
from
applying
achievements
financial
technology
innovation
is
also
rooted
specific
environments.
This
work
explores
relationship
between
regional
finance.
Using
data
2011
to
2021
across
30
Chinese
regions,
we
discover
that
positively
impacts
there
heterogeneity.
Economic
effectively
drives
government
investment.
Meanwhile,
investment
plays
a
mediating
role
According
threshold
regression
test,
uncertainty's
impact
on
demonstrates
double
effect
dependent
level.
As
levels
rise,
promoting
gradually
strengthens.
Further
analysis
reveals
has
significant
spatial
positive
correlation
can
drive
neighbouring
areas
through
spillover
effect.
Consequently,
institutions
should
actively
develop
strengthen
their
risk
resilience
face
shocks
uncertainty.
Simultaneously,
may
facilitate
orderly
healthy
augmenting
investment,
optimising
layout
infrastructure,
boosting
interregional
collaboration.