Business Process Management Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 24, 2024
Purpose
With
the
development
of
digital
economy,
pressure
on
firms
to
transform
digitally
continues
increase.
The
top
management
team
(TMT)
is
subject
decision-making,
and
its
structure
expected
influence
process
outcome
corporate
transformation.
This
study
aims
explore
impact
TMT
transformation
from
perspectives
relationship-related
task-related
faultlines.
Design/methodology/approach
obtained
7,510
observations
belonging
1,971
publicly
listed
Chinese
manufacturing
between
2011
2019.
It
analyzed
above
data
with
ordinary
least
squares
fixed-effects
panel
regression
models
used
instrumental
variables
solve
potential
endogeneity
problems.
Findings
Drawing
social
categorization
theory
information
processing
concept
demographic
faultlines,
we
proposed
found
that
(i.e.
gender
age)
faultlines
within
a
may
hinder
while
education
level,
functional
background
tenure)
have
an
inverted
U-shaped
effect
In
addition,
posited
confirmed
market
competition
weakens
negative
but
strengthens
Originality/value
By
exploring
nuanced
roles
in
transformation,
our
enriches
research
antecedents
perspective
deepens
understanding
decision
for
this
extends
existing
claims
about
contrasting
thereby
enhancing
Further,
augments
knowledge
by
revealing
dynamics
providing
supportive
evidence
positive
function
firms.
also
offers
managerial
guidance
digitization
practice
optimization
internal
structures
TMTs.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 12, 2025
As
a
critical
aspect
of
the
industry
4.0
era,
application
artificial
intelligence
(AI)
is
significant
to
environmental
governance.
It
serves
as
crucial
driving
force
in
assisting
enterprises
transition
toward
low-carbon
practices.
This
paper
examines
China's
A-share
industrial
from
2011
2022,
constructs
and
trains
word
vector
model
extract
AI-related
terms,
impact
AI
applications
on
carbon
emission
intensity
these
investigated.
The
findings
reveal
that
enhancing
level
can
effectively
decrease
intensity.
Specifically,
1%
increase
leads
reduction
0.0395%
Further
analysis
indicates
diminish
their
by
optimization
supply
chain
green
technology
innovation.
Heterogeneity
suggests
utilizing
beneficial
for
reducing
manufacturing,
high-tech,
high-pollution
enterprises.
results
this
study
enrich
micro-level
research
relationship
between
intensity,
offering
valuable
insights
aiming
achieve
sustainable
development.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 4050 - 4050
Published: April 30, 2025
The
urgent
global
challenge
of
mitigating
climate
change
has
intensified
the
need
to
reduce
carbon
emissions.
China
significantly
contributes
greenhouse
gas
emissions,
placing
substantial
pressure
on
its
industrial
sector
shift
toward
a
low-carbon
economy.
However,
current
efforts
have
not
yet
achieved
adequate
progress
in
emission
reduction.
Digital
Transformation
(DT),
involving
integration
digital
technologies
into
business
operations,
offers
promising
pathway
for
sustainable
practices
and
reduction
Chinese
enterprises.
This
study
investigates
impact
DT
Carbon
Emissions
Intensity
(CEI)
using
data
from
listed
companies
(2013–2022)
explores
moderating
role
Environmental,
Social,
Governance
(ESG)
practices.
Findings
reveal
that
reduces
CEI,
with
green
technological
innovation
(GTI)
acting
as
key
intermediary.
ESG
moderates
both
direct
relationship
between
CEI
indirectly
influences
intermediary
variables
like
GTI,
further
affecting
CEI.
Heterogeneity
analysis
shows
effectively
curbs
capital-
technology-intensive
industries
China’s
eastern
western
regions,
though
is
weaker
elsewhere.
recommends
policymakers
promote
through
targeted
incentives,
boost
strengthen
oversight
disclosure.
These
measures
can
help
enterprises
leverage
digitalization
sustainability
advance
neutrality
goals.
insights
also
provide
valuable
recommendations
other
developing
nations
facing
similar
environmental
challenges
seeking
development
pathways.
E3S Web of Conferences,
Journal Year:
2024,
Volume and Issue:
515, P. 01010 - 01010
Published: Jan. 1, 2024
The
evolution
of
the
development
“low-carbon”
economy
concept,
its
concept
as
a
new
model
economic
and
ecological
regulation
is
considered
in
this
article.
scientific
research
allowing
to
open
main
mechanisms
methods
well
classify
indicators
resource
energy
efficiency
reveal
key
factors
forming
studied.
relevant
trends
are
systematized.
relevance
article
fact
that
conditions
serious
transformations
power
industry
whole
economy,
lever
gradual
transition
civilization,
providing
interaction
coordination
economic,
social
aspects.
According
results
conducted
conclusions
which
can
help
with
programmes
development,
projects
optimization
resource-and
efficiency,
actions
for
elimination
negative
influences
on
sphere,
created.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(18), P. 8242 - 8242
Published: Sept. 22, 2024
The
vigorous
development
of
the
digital
economy,
alongside
collaborative
promotion
enterprise
transformation
and
low-carbon
supply
chains,
has
emerged
as
a
critical
pathway
for
achieving
green
high-quality
in
enterprises.
In
this
paper,
we
utilize
mathematical
model
framework
to
empirically
investigate
mechanisms
impacts
on
effect
employing
data
from
A-share-listed
companies
spanning
2011
2021.
findings
indicate
that
(1)
enhancing
degree
can
significantly
decrease
carbon
emission
intensity
upstream
suppliers,
thereby
promoting
chains.
(2)
“Innovation-driven”
“structural
transformation”
are
vital
channels
by
which
promotes
reduction
(3)
diffusion
mechanism
demonstration
exhibit
heterogeneity
process
transformation,
driving
reductions
Technology Analysis and Strategic Management,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: June 2, 2024
Digital
transformation
serves
as
a
crucial
foundation
for
enterprises
to
achieve
business
and
trade
digitisation,
well
drive
industrial
upgrading
high-quality
economic
development.
This
paper
explores
the
impact
mechanism
of
'Specialized
New'
policy
on
enterprise
digital
transformation,
utilising
established
in
2019
quasi-natural
experiment
leveraging
data
from
China's
A-share
listed
companies
between
2017
2021.
We
employ
difference-in-differences
model
investigate
effects
underlying
mechanisms
transformation.
Our
results
demonstrate
that
significantly
promotes
process
Heterogeneity
analysis
reveals
has
more
pronounced
effect
non-state-owned
enterprises,
medium-sized
with
high
management
efficiency.
In-depth
mechanistic
tests
reveal
facilitates
through
three
pathways:
enhancing
research
development
capabilities,
introducing
government
subsidies,
reducing
financing
constraints.
The
is
relatively
new
less
researched,
so
findings
this
provide
valuable
insights
lessons
domestic
foreign
policymakers,
which
can
help
replication
subsequent
policies
enterprises.
