Flexible Services and Manufacturing Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 30, 2024
Abstract
Industry
5.0
(I5.0)
marks
a
transformative
shift
toward
integrating
advanced
technologies
with
human-centric
design
to
foster
innovation,
resilient
manufacturing,
and
sustainability.
This
study
aims
examine
the
evolution
collaborative
dynamics
of
I5.0
research
through
bibliometric
analysis
942
journal
articles
from
Scopus
database.
Our
findings
reveal
significant
increase
in
research,
particularly
post-2020,
yet
highlight
fragmented
collaboration
networks
noticeable
gap
between
institutions
developed
developing
countries.
Key
thematic
areas
identified
include
human-robot
collaboration,
data
management
security,
AI-driven
sustainable
practices.
These
insights
suggest
that
more
integrated
approach
is
essential
for
advancing
I5.0,
calling
strengthened
global
collaborations
balanced
emphasis
on
both
technological
elements
fully
realize
its
potential
driving
industrial
provides
first
comprehensive
offering
valuable
researchers
practitioners.
Digital Discovery,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
AI-integrated
electrochemical
sensors
boost
peak
resolution
and
sensitivity,
enabling
precise
detection
of
electroactive
species
in
complex
matrices.
This
method
enhances
analytical
capabilities,
providing
an
analytically
robust
solution.
Advances in finance, accounting, and economics book series,
Год журнала:
2025,
Номер
unknown, С. 79 - 96
Опубликована: Янв. 31, 2025
This
chapter
investigates
the
extraordinary
job
of
computer-based
intelligence
in
current
business
conditions,
accentuating
its
effect
on
variety
and
advancement.
Simulated
advances
are
progressively
being
used
to
smooth
out
enrolment
processes,
alleviate
predispositions,
encourage
comprehensive
workplaces.
By
dissecting
huge
datasets
distinguishing
designs,
simulated
devices
upgrade
dynamic
employing,
execution
assessments,
group
elements,
prompting
more
impartial
practices.
The
discusses
important
theoretical
frameworks
that
support
integration
AI
promotion
workplace
diversity,
such
as
algorithmic
fairness
theory
diversity
inclusion
theory.
It
additionally
presents
contextual
analyses
fruitful
artificial
intelligence-driven
drives,
featuring
how
associations
like
IBM
Accenture
influence
foster
designated
systems
track
measurements.
Open Access Research Journal of Engineering and Technology,
Год журнала:
2024,
Номер
6(1), С. 039 - 051
Опубликована: Март 19, 2024
This
paper
delves
into
the
significance,
challenges,
and
potential
of
AI
applications
within
oil
gas
sector.
In
dynamic
landscape
operations,
efficiency
safety
stand
as
paramount
concerns.
Traditional
engineering
processes,
while
robust,
often
face
limitations
in
adapting
to
evolving
complexities
industry.
However,
advent
technologies
offers
a
paradigm
shift,
presenting
unprecedented
opportunities
for
optimization
risk
mitigation.
explores
multifaceted
role
processes
throughout
value
chain.
It
examines
how
AI,
encompassing
machine
learning,
deep
predictive
analytics,
empowers
decision-makers
with
real-time
insights,
optimizing
exploration,
production,
transportation,
refining
processes.
Efficiency
gains
are
witnessed
through
maintenance
strategies,
enabling
proactive
asset
management
minimizing
downtime.
Additionally,
AI-driven
process
techniques
enhance
resource
allocation,
streamlining
operations
maximizing
output
reducing
costs.
Moreover,
AI's
integration
fosters
culture
by
augmenting
assessment
hazard
identification
capabilities.
Through
advanced
algorithms,
systems
analyze
vast
datasets
detect
anomalies
predict
hazards,
intervention
accident
prevention.
journey
towards
is
not
without
challenges.
Technical
complexities,
regulatory
frameworks,
cyber
security
concerns
pose
significant
hurdles
that
require
careful
navigation.
ethical
considerations
surrounding
data
privacy
algorithmic
bias
necessitate
robust
governance
frameworks
ensure
responsible
deployment.
Looking
ahead,
delineates
future
trends
adoption
underscores
continued
innovation
disruption,
reshaping
workforce
dynamics
skill
requirements.
Embracing
only
drives
operational
excellence
but
also
propels
industry
sustainable
resilient
Journal of Infrastructure Policy and Development,
Год журнала:
2025,
Номер
9(1), С. 9417 - 9417
Опубликована: Янв. 14, 2025
This
project
analyzes
the
evolution
of
manufacturing
sector
in
Portugal
from
2009
to
2021,
focusing
on
variations
number
active
companies
across
various
subcategories,
such
as
food,
textiles,
and
metal
product
industries.
The
goal
this
analysis
is
understand
dynamics
growth
contraction
within
each
sector,
providing
insights
for
adjust
their
market
operational
strategies.
Key
objectives
include
analyzing
overall
companies,
identifying
subcategories
with
notable
changes,
a
comprehensive
observed
trends
patterns.
study
based
data
PORDATA
2024,
research
employs
temporal
trend
analysis,
linear
quadratic
regression,
Pareto
representation
identify
patterns
decline.
By
comparing
annual
data,
uncovers
periods
decline,
allowing
deeper
understanding
sector’s
dynamics.
findings
also
highlight
economic
crises
during
Covid-19
pandemic,
recommendations
action
are
presented
support
businesses
resilience
continuity.
These
results
valuable
sectors
analyzed
policy
makers,
guiding
strategic
decisions
navigate
complexities
ensuring
long-term
organizational
sustainable
success.
Frontiers in Artificial Intelligence,
Год журнала:
2025,
Номер
7
Опубликована: Янв. 15, 2025
The
rapid
adoption
and
evolving
nature
of
artificial
intelligence
(AI)
is
playing
a
significant
role
in
shaping
the
music
streaming
industry.
AI
has
become
key
player
transforming
digital
industry,
particularly
enhancing
user
experiences
driving
subscription
growth.
Through
automation,
platforms
personalize
recommendations,
optimize
offerings,
improve
customer
support
services.
This
article
reviews
consumer
behaviors
on
(DMSP),
with
focus
recommendation
algorithms,
dynamic
pricing
models,
marketing
future
Potential
challenges
related
to
privacy,
ethics,
algorithmic
biases
are
also
discussed,
showcasing
how
revolutionizing
Asia-Pacific Journal of Business Administration,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 26, 2025
Purpose
Artificial
intelligence
(AI)
applications
enable
entrepreneurs
in
small
and
medium-sized
enterprises
(SMEs)
to
make
strategic
decisions
based
on
more
accurate
predictions
modeling
scenarios
achieve
operational
efficiency
profitability.
This
research
aims
investigate
the
role
of
AI
enhancing
decision-making
(SDM)
through
mediating
digital
leadership
(DL).
Design/methodology/approach
The
sample
included
306
Omani
from
SMEs
randomly
sampled
collect
data
different
SME
industrial
incubators.
To
test
hypotheses,
structural
equation
(SEM),
regression
confirmatory
factor
analysis
Process
V4
DL
were
used.
Findings
Results
reveal
that
have
a
positive
significant
impact
SDM
DL.
Furthermore,
has
SDM.
results
also
enhances
relationship
between
SMEs.
Originality/value
provides
evidence
regarding
Arabian
context
ability
application
adoption
improve
productivity
sustainability
economic
sector.
Advances in business strategy and competitive advantage book series,
Год журнала:
2025,
Номер
unknown, С. 71 - 98
Опубликована: Янв. 3, 2025
Artificial
Intelligence
(AI)
is
transforming
the
way
businesses
work,
driving
a
fundamental
instability
in
traditional
business
paradigms.
This
chapter
addresses
role
of
AI
model
innovation,
investigating
how
companies
employ
technologies
to
enhance
decision-making,
optimize
processes,
and
generate
new
value
propositions.
By
integrating
into
may
change
from
static,
linear
models
dynamic,
data-driven
strategies,
allowing
for
better
scalability
agility.
Through
series
case
studies
examples,
illustrates
significant
sectors
industries
where
AI-driven
have
arisen.
It
also
covers
barriers
adoption,
including
technological,
ethical,
organizational
hurdles,
offers
insights
future
trends
developing
landscape
AI-powered
transformations.
