Impact assessment of digital transformation on the green innovation efficiency of China's manufacturing enterprises
Environmental Impact Assessment Review,
Journal Year:
2023,
Volume and Issue:
105, P. 107373 - 107373
Published: Dec. 8, 2023
Language: Английский
Application of big data technology in enterprise information security management
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 6, 2025
This
study
aims
to
explore
the
application
value
of
big
data
technology
(BDT)
in
enterprise
information
security
(EIS).
Its
goal
is
develop
a
risk
prediction
model
based
on
analysis
enhance
protection
capability
enterprises.
A
system
that
can
monitor
and
intelligently
identify
potential
risks
real-time
constructed
by
designing
complex
network
algorithms
machine
learning
models.
For
different
types
threats,
uses
feature
engineering
training
processes
extract
key
indicators
optimize
performance.
The
experimental
results
show
has
excellent
performance
test
set,
its
Area
Under
Curve
reaches
0.95,
indicating
good
differentiation
ability
high
accuracy.
In
addition,
multi-class
identification
task,
achieves
an
average
precision
0.87.
Compared
with
traditional
method,
it
remarkably
improved
early
warning
accuracy
response
speed
enterprises
various
incidents.
Therefore,
this
confirms
effectiveness
feasibility
applying
BDT
EIS
management,
successfully
provides
strong
technical
support
for
protection.
Language: Английский
Digital innovation and sustainable accounting practices: A systematic literature review through the governance context
Journal of Governance and Regulation,
Journal Year:
2025,
Volume and Issue:
14(1), P. 38 - 48
Published: Jan. 1, 2025
The
digital
revolution
has
brought
about
a
significant
change
in
the
way
accounting
and
auditing
procedures
are
conducted,
marking
noteworthy
paradigm
shift
(Pizzi
et
al.,
2021).
Businesses
experience
changes
as
result
of
incorporating
new
ideas
or
technologies
into
their
current
processes.
This
study
aims
to
assess
effects
innovation
on
sustainable
practices,
by
utilizing
systematic
literature
review
approach.
research
covers
published
articles
during
last
two
decades
(2003–2023),
search
methodology
employs
Scopus,
PubMed,
IEEE
Xplore,
Google
Scholar,
ResearchGate.
findings
reveal
that
leads
efficient
accounts
management
with
authenticity,
reliability,
credibility,
transparency
whole.
Companies
need
use
cutting-edge
an
adaptive
era
progresses
order
thrive
continuously
changing
evolving
environment.
Large-scale
data,
analytics
cloud
computing,
artificial
intelligence
(AI),
blockchain
technology
virgin
fields
for
future
directions
practice.
prevailing
viewpoint
is
optimistic,
indicating
presents
more
opportunity
rather
than
threat.
Language: Английский
The butterfly effect of cloud computing on the low-carbon economy
Yan Chen,
No information about this author
R Zhang,
No information about this author
Jiayi Lyu
No information about this author
et al.
Technological Forecasting and Social Change,
Journal Year:
2024,
Volume and Issue:
204, P. 123433 - 123433
Published: May 4, 2024
Language: Английский
Management of Enterprise Based on Innovative Technologies for Data Processing
Published: Jan. 1, 2024
Language: Английский
Optimization of Workflow Execution in Cloud Computing Environments
Revista Ciencia y Tecnología,
Journal Year:
2024,
Volume and Issue:
20(4), P. 11 - 21
Published: Dec. 28, 2024
This
study
focused
on
the
digitization
of
critical
processes
at
National
University
Trujillo
(UNT),
specifically
in
issuance
certificates
with
digital
signature
and
graduation
procedures,
selected
for
their
academic
relevance.
A
hybrid
system
private
cloud
server
cluster
was
implemented,
using
a
quasi-experimental
design
control
group
an
experimental
group.
Statistical
analysis
performed
Student's
t-tests
Mann-Whitney
tests,
Minitab
software.
Statistically,
sample
30
measurements
used,
which
is
sufficient
distribution
mean
to
approximate
normal
as
this
case,
useful
applying
T-Student
test.
The
results
showed
significant
reduction
processing
times.
In
signature,
average
time
decreased
from
10.94
days
2.21
days,
51.08
27.98
days.
addition,
user
satisfaction
increased
2
4
both
processes.
support
effectiveness
computing
transformation
Universidad
Nacional
de
Trujillo,
can
serve
model
other
institutions
field.
Language: Английский