Journal of theoretical and applied electronic commerce research,
Journal Year:
2024,
Volume and Issue:
19(3), P. 2377 - 2399
Published: Sept. 7, 2024
A
consumption-driven
economy
refers
to
an
economic
growth
model
primarily
driven
by
domestic
consumption
and
is
a
common
goal
for
the
of
various
countries.
To
explore
impact
industrial
digitalization
on
economy,
this
paper
conducts
empirical
study
based
data
from
31
provinces
in
China
2013
2021.
The
test
results
indicate:
first,
significantly
promotes
development
mainly
reflected
improvement
foundation
levels,
but
shows
no
significant
effect
improving
structure.
Second,
mechanism
analysis
show
that
can
promote
fostering
innovation
advancing
Third,
heterogeneity
reveal
promotion
exists
only
eastern
central
not
western
China,
indicating
underdeveloped
areas
cannot
exert
positive
economy.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 430 - 430
Published: Jan. 19, 2025
(1)
Background:
Digital
transformation
is
critical
in
further
developing
the
energy
supply
chain.
The
attainment
of
successive
levels
digital
maturity
by
chain
participants
translates
into
numerous
benefits
related
to
efficiency,
cost,
and
effectiveness
flows
implemented.
However,
increasing
degree
digitalisation
automation
generates
an
increased
risk
cyberattacks
other
challenges
operation
smart
grid.
This
paper
presents
results
a
literature
review
describing
phenomenon
(2)
Methods:
was
performed
using
two
methods.
First,
systematic
conducted
PRISMA
method.
due
unsatisfactory
results,
this
supplemented
search
supporting
narrative
review.
(3)
Results:
Analysing
identified
publications
made
it
possible
distinguish
nine
leading
research
trends
These
were
characterised
based
on
described
all
articles
classified
corresponding
categories.
(4)
Conclusions:
presented
provide
interesting
material
for
building
resilience
selected
Industry
4.0
tools
assessing
managing
risks
associated
with
sector.
SEISENSE Journal of Management,
Journal Year:
2024,
Volume and Issue:
7(1), P. 135 - 152
Published: Sept. 2, 2024
Purpose
-
Artificial
intelligence
is
profoundly
transforming
the
digital
creative
industry,
becoming
a
key
force
in
industrial
upgrading
through
technology
integration,
innovation
drive
and
productivity
improvement.
Methods-
This
study
uses
variety
of
methods,
including
literature
review,
questionnaire
survey,
in-depth
interview
data
analysis,
to
systematically
examine
application
effect
AI
industry.
The
structural
equation
model
used
verify
hypothesized
relationship,
role
promoting
development
results
catalysis
are
comprehensively
analyzed.
Research
results-
research
that
importantly
promotes
technological
inside
improves
general
overall
performance
path
coefficient
incredibly
substantial,
fit
good,
which
verifies
effective
position
integration
development.
not
only
competitiveness
but
also
provides
robust
support
for
personalization
excessive
quality
products.
Originality-
paper
demonstrates
remarkable
originality
theoretical
framework
construction,
empirical
exploration
practical
challenges
this
deeply
analyzes
multiple
mechanisms
providing
new
ideas
specific
quantitative
evidence
related
fields.
Implications
Practitioners
need
actively
accept
era,
optimize
workflows,
enhance
production
efficiency
constantly
their
talents
cross-area
information
capabilities.
Policymakers
should
formulate
focused
policies
promote
vast
deep
technologies
industries.
