Business Process Management Journal,
Год журнала:
2024,
Номер
30(6), С. 2184 - 2209
Опубликована: Июль 8, 2024
Purpose
This
study
explored
how
COVID-19
moderated
the
relationship
between
organizational
learning
capabilities
(OLCs),
technological
innovation
(TI),
supply
chain
management
(SMC)
processes
and
enterprise
performance
(EP).
It
aimed
to
give
ideas
on
organizations
could
change
do
well
during
big
disruptions.
Design/methodology/approach
Design:
A
structured
questionnaire
served
as
data
collection
tool,
employing
a
stratified
sampling
technique.
Partial
least
squares
(PLS)
was
utilized
for
processing.
Information
gathered
from
automobile
industry
in
Xian,
China,
providing
an
in-depth
understanding
of
variables
under
examination.
Findings
The
discovered
that
changed
learning,
TI,
SCM
EP
interacted.
Some
had
trouble
keeping
up
with
innovation,
but
others
used
them
make
their
stronger,
leading
better
performance.
Also,
different
effects
were
seen
various
industries
organizations.
Practical
implications
provided
practical
managers,
policymakers
practitioners.
emphasized
fostering
OLCs
TI
crucial
resilience
disruptions
like
COVID-19.
Strategic
investments
highlighted
mitigate
seize
opportunities.
Additionally,
context-specific
approaches
underscored
navigating
pandemic-induced
challenges.
Originality/value
enhanced
existing
literature
by
analyzing
link
EP.
Through
diverse
methodologies
contexts,
it
offered
fresh
insights
into
dynamic
responses
disruptions,
advancing
both
theoretical
knowledge
field.
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(2)
Опубликована: Март 25, 2025
This
study
examines
how
social
public
opinion
affects
technology
governance
in
order
to
examine
the
ways
which
digital
transformation
various
government
agencies.
Our
method
breaks
out
precise
effects
of
on
different
departments
and
their
contributions
overall
governmental
efficiency,
contrast
earlier
research
that
frequently
sees
as
a
single
entity.
We
evaluate
extent
from
2013
2023
using
text
analysis
empirical
models,
results
show
these
changes
improve
efficiency.
also
demonstrate
important
it
is
coordinate
initiatives
increase
not
only
presents
novel
theoretical
framework
for
comprehending
government,
but
makes
practical
suggestions
allocating
resources
efficiently
possible
planning
projects
would
advance
government.
For
efficient
enormous
volume
debate
platforms,
sophisticated
Natural
Language
Processing
(NLP)
approaches
are
needed.
In
capture
both
contextual
meanings
sequential
dependencies
data,
this
suggests
hybrid
model
combines
BERT
LSTM.
The
uses
LSTM
(Long
Short-Term
Memory)
remember
patterns
sentiment
evolution
(Bidirectional
Encoder
Representations
Transformers)
deep
semantic
comprehension.
sheds
light
influences
policies
tactics
by
analyse
case
studies
AI
ethics,
data
privacy,
platform
laws.
Corporate Social Responsibility and Environmental Management,
Год журнала:
2024,
Номер
31(5), С. 3836 - 3854
Опубликована: Март 18, 2024
Abstract
Corporate
environmental,
social,
and
governance
(ESG)
performance
is
gaining
significance
in
global
sustainable
development.
Corporations
can
improve
ESG
through
digital
technology
innovation
(DTI).
However,
few
studies
systematically
examined
the
relationship
between
DTI
performance.
This
study
uses
patent
application
data
as
a
proxy
for
to
provide
empirical
evidence.
Analysis
of
Chinese
A‐share
firms
from
2009
2021
shows
that
significantly
improves
performance,
particularly
small‐sized
non‐state‐owned
firms.
Mediation
analysis
indicates
promotes
by
increasing
internal
control
quality
human
capital.
Institutional
environment
government
attention
optimization
enhances
DTI's
promotion
effect
on
Firms
with
advanced
transformation
better
DTI.
The
findings
expand
theoretical
understanding
role
corporate
sustainability
practical
insights
into
how
managers
leverage
opportunities
strengthen
Business Ethics the Environment & Responsibility,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 10, 2025
ABSTRACT
In
the
era
of
digital
economy,
important
issue
for
enterprises
is
how
to
achieve
optimal
performance
by
balancing
development
technology
and
undertaking
responsibility.
Based
on
distinctiveness
theory,
we
explore
balance
tension
between
political
strategy
competitive
from
perspective
corporate
responsibility
firm
performance.
Observing
data
such
as
annual
reports,
patent
application
information,
operating
conditions
Chinese
A‐share
listed
companies
2009
2021
reveals
impact
responsibility,
substantive
symbolic
The
research
results
show
that
innovation
superior
in
promoting
Mechanism
analysis
shows
satisfies
firm's
positively
impacts
through
management
empowerment.
contrast,
improves
empowering
workforce.
Further
find
moderates
negatively
relationship
This
study
incorporates
into
a
unified
framework,
which
provides
new
interpretative
path
improving
contributes
practical
references
firms
“win‐win”
situation
competitiveness
social
value.
American Journal of Economics and Sociology,
Год журнала:
2024,
Номер
83(4), С. 709 - 736
Опубликована: Апрель 15, 2024
Abstract
This
study
examines
the
impact
and
its
mechanisms
of
green
finance
on
economic
growth
by
using
reform
innovation
pilot
zone
(GFRIPZ)
as
a
quasi‐natural
experiment.
Based
panel
data
30
provinces
in
China
from
2011
to
2019,
we
employ
difference‐in‐differences
(DID)
model
find
that
GFRIPZ's
construction
has
positive
effect
growth,
resulting
real
GDP
2.2%
zones.
Mechanism
analysis
shows
GFRIPZ
policy
promotes
stimulating
technological
increasing
fiscal
expenditures.
Further,
moderating
result
reveals
more
powerful
environmental
regulation,
better
policy.
Additionally,
heterogeneity
indicates
can
contribute
accelerating
Zhejiang,
Jiangxi
Xinjiang.
Our
findings
provide
latest
empirical
evidence
well
cross‐references
for
policymakers
scientifically
execute
monetary
policies
effectively
balance
development
growth.
Sustainability,
Год журнала:
2024,
Номер
16(11), С. 4421 - 4421
Опубликована: Май 23, 2024
Resolving
the
conflict
between
economic
growth
and
ecological
sustainability
is
crucial
when
transitioning
from
traditional
development
towards
a
sustainable
green
model.
In
this
context,
super-NSBM
model
was
applied
to
measure
efficiency
of
innovation
technology
research
development.
Additionally,
it
achievement
transformation
among
30
Chinese
provinces.
This
evaluation
conducted
for
period
2011
2021,
utilized
two-stage
value
chain
perspective.
The
entropy
method
used
comprehensively
calculate
digital
economy
index,
impact
on
effect
empirically
explored
using
SDM.
findings
revealed
following:
Firstly,
both
exhibited
significant
spatial
characteristics.
Secondly,
had
positive
not
only
in
local
region
but
also
neighboring
regions.
conclusion
remained
valid
throughout
series
robustness
tests.
Thirdly,
terms
regional
heterogeneity,
eastern
non-resource-based
regions
greater
dividends
than
central,
western,
resource-based
regions;
therefore,
more
significant.
Lastly,
intellectual
property
protection
data
factor
endowment
exerted
moderating
effects
influence
efficiency.
conclusions
provide
theoretical
backing
empirical
proof
mechanism
its
Policy
implications
are
suggested
based
these
findings,
such
as
reinforcing
digitalization,
establishing
targeted
policies,
fostering
favorable
external
environment
conducive
technological
innovation.
