The impact of migration on intellectual capital: exploring the mediating role of digitalization, and institutional quality
Cogent Social Sciences,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: April 12, 2025
Language: Английский
Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems
Marek Nagy,
No information about this author
Marcel Figura,
No information about this author
Katarína Valašková
No information about this author
et al.
Mathematics,
Journal Year:
2025,
Volume and Issue:
13(6), P. 981 - 981
Published: March 17, 2025
In
Industry
4.0,
predictive
maintenance
(PdM)
is
key
to
optimising
production
processes.
While
its
popularity
among
companies
grows,
most
studies
highlight
theoretical
benefits,
with
few
providing
empirical
evidence
on
economic
impact.
This
study
aims
fill
this
gap
by
quantifying
the
performance
of
manufacturing
in
Visegrad
Group
countries
through
PdM
algorithms.
The
purpose
our
research
assess
whether
these
generate
higher
operational
profits
and
lower
sales
costs.
Using
descriptive
statistics,
non-parametric
tests,
Hodges–Lehmann
median
difference
estimate,
linear
regression,
authors
analysed
data
1094
enterprises.
Results
show
that
significantly
improves
performance,
variations
based
geographic
scope.
Regression
analysis
confirmed
as
an
essential
predictor
even
after
considering
factors
like
company
size,
legal
structure,
Enterprises
more
effective
cost
management
net
were
likely
adopt
PdM,
revealed
decision
tree
analysis.
Our
findings
provide
benefits
algorithms
their
potential
enhance
competitiveness,
offering
a
valuable
foundation
for
business
managers
make
informed
investment
decisions
encouraging
further
other
industries.
Language: Английский
Life-Cycle Assessment in Agri-Food Systems and the Wine Industry—A Circular Economy Perspective
Foods,
Journal Year:
2025,
Volume and Issue:
14(9), P. 1553 - 1553
Published: April 28, 2025
Rapid
population
growth,
climate
change,
and
resource
depletion
pose
significant
challenges
to
global
food
production,
demanding
sustainable
solutions.
A
Life-Cycle
Assessment
(LCA)
provides
a
structured
framework
for
evaluating
the
environmental
impact
of
systems
throughout
their
entire
life
cycle.
This
review
examines
how
an
LCA
can
be
integrated
with
circular
economy
principles
address
sustainability
challenges,
optimize
use,
minimize
waste
in
alcoholic
beverage
production.
systematic
applications
agri-food
sector
was
conducted,
analyzing
studies
published
across
different
regions.
The
selection
criteria
included
relevance
strategies,
valorization
approaches,
assessing
impacts
using
methodologies.
analysis
explores
explicitly
synergy
between
wine
production
within
broader
system,
considering
shared
opportunities
optimization.
Key
methodologies
include
cradle-to-grave
assessments
evaluation
waste-to-resource
technologies.
findings
demonstrate
that
effectively
identifies
critical
hotspots,
enabling
implementation
eco-design
recovery
practices.
Circular
such
as
use
renewable
energy,
precision
agriculture,
nutrient
recovery,
significantly
enhance
sustainability.
However,
gaps
remain
accounting
social
regional
variability,
well
integrating
advanced
When
combined
principles,
actionable
insights
policy
development
Advancing
fostering
multi-stakeholder
collaboration
are
essential
creating
resilient
environmentally
responsible
systems.
Language: Английский
The Synergy Between Human Factors, Public Digitalization and Public Administration in the European Context.
Journal of Open Innovation Technology Market and Complexity,
Journal Year:
2024,
Volume and Issue:
10(4), P. 100424 - 100424
Published: Nov. 13, 2024
Language: Английский