Management Decision,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Purpose
Digital
transformation
(DX)
is
advancing
in
the
post-pandemic
era,
yet
regional
disparities
remain
pronounced.
This
uneven
distribution
may
be
attributed
to
cities’
doing
business
environment.
As
environment
comprises
various
components,
we
aim
explore
how
these
components
interact
affect
local
firms'
DX,
thereby
identifying
which
configurations
of
contribute
DX.
Design/methodology/approach
The
our
study
contains
seven
components:
public
services,
government,
legal,
innovation,
market,
human
resources
and
financial
services
environments.
We
adopt
a
fuzzy-set
qualitative
comparative
analysis
approach
determine
necessary
sufficient
conditions
for
high-level
sample
consists
enterprises
listed
on
China
Science
Technology
Innovation
Board.
Findings
Firstly,
single
component
unnecessary
firms
produce
high-
or
non-high-level
Secondly,
four
explain
DX
three
general
types:
(1)
dominated
by
cost
hypothesis,
(2)
synergised
resource
hypotheses
(3)
hypothesis.
Thirdly,
configurational
paths
generating
firms’
are
asymmetric
only
one
configuration
will
lead
Originality/value
presents
ground-breaking
exploration
mechanisms
driving
terms
city-level
its
dual
functions.
Additionally,
elucidate
reasons
development.
SAGE Open,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 1, 2025
As
an
important
driving
force
for
economic
growth,
digital
trade
provides
opportunities
urban
green
development.
Using
city-level
data
in
China
from
2005
to
2020,
we
take
the
cross-border
e-commerce
comprehensive
pilot
zone
(CBEC)
as
a
policy
shock
construct
spatial
difference-in-difference
(SDID)
model,
which
is
adapted
quantitatively
examine
carbon
reduction
effects
and
impact
mechanisms
of
CBEC
policy.
The
results
confirm
that
implementation
significantly
reduces
emissions
(CE)
cities
about
4.5%,
mainly
due
resource
allocation
efficiency
promotion,
industrial
structure
upgrading,
technology
boosting.
Meanwhile,
there
significant
spillover
effect,
resulting
3.9%
CE
decrease
neighboring
cities.
In
addition,
has
more
effect
resource-based
high-degree
information
Our
provide
evidence
accelerate
development
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(7), P. e28572 - e28572
Published: March 22, 2024
Green
product
innovation
(GPDI)
is
crucial
for
addressing
ecological
issues
and
essential
enterprises'
green
operations
long-term
growth.
Digitization
offers
new
possibilities
enhancing
corporate
practices.
Nevertheless,
previous
studies
have
predominantly
addressed
the
association
between
overall
digitalization
innovation,
research
on
outcome
of
specific
digital
technology
categories
lacking.
Within
this
framework,
study
broadens
investigation
into
connection
distinct
technologies
innovation.
The
period
2013–2022
was
selected
as
sample
observation
period,
with
companies
listed
China's
A-share
market
objects.
fixed-effects
model
applied
to
investigate
impact
artificial
intelligence
(AI)
firms'
GPDI
while
exploring
interaction
effect
organizational
capital.
findings
indicate
that
AI
beneficial
in
businesses.
This
enhanced
by
employee
board
human
capital
but
diminished
social
These
results
remained
valid
after
two-stage
least
squares
regression.
utilization
resource-based
view
dynamic
capacity
theory
business
implementation.
Furthermore,
it
extends
resulting
provides
a
enhancement
pathway
GPDI.
has
significant
theoretical
practical
implications.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 14, 2024
Abstract
With
advanced
science
and
digital
technology,
transformation
has
become
an
important
way
to
promote
the
sustainable
development
of
enterprises.
However,
existing
research
only
focuses
on
linear
relationship
between
a
single
characteristic
transformation.
In
this
study,
we
select
data
Chinese
A-share
listed
companies
from
2010
2020,
innovatively
use
machine
learning
method
explore
differences
in
predictive
effects
multi-dimensional
features
enterprises
based
Technology-Organization-Environment
(TOE)
theory,
thus
identifying
main
drivers
affecting
fitting
models
with
stronger
effect.
The
study
found
that:
first,
by
comparing
traditional
regression
models,
it
is
that
prediction
ability
ensemble
earning
generally
higher
than
tradition
measurement
method.
For
sample
selected
research,
XGBoost
LightGBM
have
strong
explanatory
high
accuracy.
Second,
compared
technical
driving
force
environmental
force,
organizational
greater
impact.
Third,
among
these
characteristics,
equity
concentration
executives’
knowledge
level
dimension
greatest
impact
Therefore,
enterprise
managers
should
always
pay
attention
decision-making
role
level.
This
further
enriches
literature
enterprises,
expands
application
economics,
provides
theoretical
basis
for
enhance
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(2), P. 463 - 463
Published: Jan. 9, 2025
The
high-quality
development
of
urban
innovation
provides
important
support
for
implementing
new
concepts,
constructing
patterns,
and
promoting
development.
Based
on
the
Technology–Organization–Environment
(TOE)
theoretical
analysis
framework,
this
paper
takes
19
first-tier
cities
30
second-tier
as
research
samples,
explores
multiple
path
combinations
business
environment
from
a
configuration
perspective,
uses
fsQCA
method.
results
show
that
following
are
true:
(1)
ecology
is
sole
necessary
condition
development;
(2)
efficient
financial
services
comprehensive
market
size
play
crucial
role
in
enabling
to
achieve
(3)
there
three
configurations
driving
development,
namely
“Balanced
Synergy
Pathway”,
“Organizational
“Technological
Pathway”.
This
study
impact
coupling
innovation,
reveals
diverse
relationships
has
practical
significance
policies
cities.
