Administrative Sciences,
Journal Year:
2025,
Volume and Issue:
15(4), P. 149 - 149
Published: April 18, 2025
This
study
explores
the
application
of
artificial
intelligence
(AI)
in
public
administration,
examining
its
potential
to
enhance
efficiency,
sustainability,
and
resilience
government
actions.
The
research
develops
a
theoretical
framework
assess
relationship
among
AI
integration,
governance
improvements,
economic
benefits,
as
measured
by
key
components
Digital
Economy
Society
Index
(DESI).
Utilizing
factor
analysis
ordinary-least-squares
(OLS)
regression,
this
provides
empirical
insights
into
how
AI-driven
applications
contribute
service
delivery
growth.
findings
highlight
that
has
improve
significantly.
Still,
transition
AI-enhanced
administration
is
accompanied
challenges
such
algorithmic
bias,
cybersecurity
risks,
workforce
adaptation,
ethical
issues.
emphasizes
need
for
robust
structures,
comprehensive
security
measures,
active
involvement
address
these
challenges.
By
proposing
clear
managing
contributes
literature
on
digital
transformation
sector
offers
actionable
policymakers
practitioners.
Future
should
examine
AI’s
broader
across
diverse
contexts,
ensuring
remains
aligned
with
democratic
values,
trust,
long-term
sustainability.
Future Transportation,
Journal Year:
2025,
Volume and Issue:
5(1), P. 8 - 8
Published: Jan. 14, 2025
Transportation
5.0
is
an
advanced
and
sophisticated
system
combining
technologies
with
a
focus
on
human-centered
design
inclusivity.
Its
various
components
integrate
intelligent
infrastructure,
autonomous
vehicles,
shared
mobility
services,
green
energy
solutions,
data-driven
systems
to
create
efficient
sustainable
transportation
network
tackle
modern
urban
challenges.
However,
this
evolution
of
also
intended
improve
accessibility
by
creating
environmentally
benign
substitutes
for
traditional
fuel-based
even
when
addressing
traffic
management
control
issues.
Consequently,
promote
synergy
sustainability,
the
diversified
nature
ought
be
efficiently
effectively
managed.
Thus,
study
aims
reveal
involvement
core
component
prediction
in
through
systematic
literature
review.
This
contemplates
causal
model
under
dynamics
modeling
order
address
solutions
movement
toward
sustainability
context
5.0.
From
review,
addition
developed
model,
it
identified
that
every
method
reduces
environmental
impact
while
increasing
passenger
convenience
overall
efficiency
transport
network,
greater
improvements
developing
nations.
As
variety
options,
including
electric
successfully
integrated,
will
eventually
enable
mobility,
multimodal
transit
options.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 407 - 407
Published: Jan. 18, 2025
Advanced
deep
learning
algorithms
play
a
key
role
in
optimizing
energy
usage
smart
cities,
leveraging
massive
datasets
to
increase
efficiency
and
sustainability.
These
analyze
real-time
data
from
sensors
IoT
devices
predict
demand,
enabling
dynamic
load
balancing
reducing
waste.
Reinforcement
models
optimize
power
distribution
by
historical
patterns
adapting
changes
real
time.
Convolutional
neural
networks
(CNNs)
recurrent
(RNNs)
facilitate
detailed
analysis
of
spatial
temporal
better
usage.
Generative
adversarial
(GANs)
are
used
simulate
scenarios,
supporting
strategic
planning
anomaly
detection.
Federated
ensures
privacy-preserving
sharing
distributed
systems,
promoting
collaboration
without
compromising
security.
technologies
driving
the
transformation
towards
sustainable
energy-efficient
urban
environments,
meeting
growing
demands
modern
cities.
However,
there
is
view
that
if
pace
development
maintained
with
large
amounts
data,
computational/energy
costs
may
exceed
benefits.
The
article
aims
conduct
comparative
assess
potential
this
group
technologies,
taking
into
account
efficiency.
Smart Cities,
Journal Year:
2025,
Volume and Issue:
8(1), P. 16 - 16
Published: Jan. 21, 2025
The
rapid
urbanization
and
pursuit
of
sustainability
have
elevated
shared
mobility
as
a
cornerstone
smart
cities.
Among
its
modalities,
scooter-sharing
has
gained
popularity
for
convenience
eco-friendliness,
yet
it
faces
significant
adoption
barriers.
This
study
investigates
the
challenges
to
systems
within
cities,
focusing
on
Silesian
region
Poland
case
study.
It
aims
identify
region-specific
barriers
opportunities
in
Central
Eastern
Europe
provide
insights
into
long-term
development
trends
potential
challenges.
Using
comprehensive
statistical
methods,
including
factor
analysis
regression
models,
this
identifies
key
such
insufficient
bike
paths,
poor
path
conditions,
inadequate
signage,
fleet
maintenance
issues,
complex
rental
processes.
External
factors
like
adverse
weather
heavy
traffic,
coupled
with
health
safety
concerns,
further
hinder
adoption,
particularly
among
vulnerable
populations.
Additionally,
explores
future
scooter-sharing,
emphasizing
role
advanced
technologies,
adaptive
urban
planning,
sustainable
management
ensuring
feasibility.
Drawing
global
studies,
underscores
need
tailored
infrastructural
investments,
management,
user-centric
policies
align
city
goals
sustainability,
accessibility,
improved
mobility.
These
findings
offer
actionable
policymakers
service
providers
striving
integrate
evolving
landscape
Foods,
Journal Year:
2024,
Volume and Issue:
13(18), P. 2948 - 2948
Published: Sept. 18, 2024
This
paper
reviews
the
digital
transformation
of
grocery
shopping,
focusing
on
technological
innovations
that
have
redefined
consumer
experiences
over
past
decades.
By
analyzing
both
academic
literature
and
up-to-date
information
from
websites,
study
provides
a
review
evolution
shopping
traditional
methods
to
modern,
technology-driven
approaches.
The
categorizes
developments
into
two
primary
areas:
in-store
online
shopping.
In-store
has
progressed
interactions
implementation
self-service
checkouts,
handheld
scanners,
mobile
apps,
AI-based
solutions,
including
augmented
reality
(AR)
facial
recognition.
first
area
which
are
solutions.
aims
highlight
revolution
in
perspective,
present
most
significant
achievements,
outline
future
possibilities
for
further
advancements
this
field.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(12), P. 5061 - 5061
Published: June 14, 2024
The
development
of
sustainable
smart
cities
(SSCs)
is
pivotal
for
contemporary
urban
expansion,
as
highlighted
by
numerous
international
frameworks
and
scholarly
studies.
This
study
focused
on
Saudi
Arabia
to
identify
assess
the
key
challenges
impeding
evolution
intelligent
environments.
By
categorizing
hierarchically
analyzing
these
impediments,
research
isolates
most
significant
barriers
SSC
advancement.
A
total
18
obstacles
were
identified,
organized
into
four
categories,
reviewed
using
existing
literature.
Semi-structured
interviews
conducted
with
stakeholders
engaged
in
executing
initiatives,
enriching
from
a
practical
perspective.
Additionally,
survey
ranked
barriers,
revealing
that
social
economic
factors
pose
challenges,
followed
governance
legal,
technology,
environment.
findings
this
offer
critical
insights
policymakers
governments
mitigate
efforts.
Energies,
Journal Year:
2024,
Volume and Issue:
17(21), P. 5341 - 5341
Published: Oct. 27, 2024
The
rapid
urbanization
and
technological
advancements
of
the
recent
decades
have
increased
need
for
efficient
sustainable
transportation
solutions.
This
study
examines
acceptance
smart
systems
(STSs)
among
residents
in
Polish
cities
explores
impact
these
on
energy-saving
behaviors.
Using
extended
Unified
Theory
Acceptance
Use
Technology
(UTAUT2)
model,
which
includes
propensity
to
save
energy,
this
research
seeks
understand
determinants
STS
adoption.
primary
was
conducted
using
Computer-Assisted
Web
Interviewing
(CAWI).
sample
controlled
gender
place
residence.
A
471
individuals
meeting
criteria
living
a
city
with
over
200,000
solutions
Poland
were
selected
from
panel.
SmartPLS
4
software
used
analyze
collected
data.
findings
reveal
that
energy
significantly
influences
perceived
usefulness,
ease
use,
social
influence,
hedonic
motivation
toward
STSs.
Perceived
usefulness
use
found
be
strong
predictors
intention
STSs,
while
costs
had
negative
it.
also
identified
moderating
role
personal
innovativeness
mitigating
cost
concerns.
These
insights
underscore
importance
emphasizing
conservation
benefits
user-friendly
features
promoting
concludes
aligning
innovations
user
motivations
can
enhance
adoption
solutions,
contributing
smarter
more
urban
environments.
Smart Cities,
Journal Year:
2025,
Volume and Issue:
8(1), P. 26 - 26
Published: Feb. 10, 2025
In
the
biodiversity
and
climate
emergency,
a
holistic
approach
is
needed
for
development
of
smart
cities.
This
perspective
paper
proposed
novel
conceptual
framework
nature-positive
cities
in
socio-technical-ecological
system
(STES),
which
bridged
gap
between
technological
advancement
ecological
principles
within
existing
city
approach,
enabling
to
transition
towards
biodiversity-led
paradigm.
Based
on
recent
literature
cities,
this
combines
with
capabilities
Nature
4.0,
using
tools
such
as
AI,
sensors,
IoT,
big
data
analytics,
machine
learning.
The
shows
that
green
spaces
have
already
been
developed
worldwide;
therefore,
education
personnel
working
local
government
effectively
use
new
technology.
presents
examples
how
technologies
can
be
utilised
urban
maximise
ecosystem
services
biodiversity.
Finally,
it
provides
recommendations
areas
future
research,
concluding
call
specific
policy
interventions
facilitate
Electronics,
Journal Year:
2025,
Volume and Issue:
14(4), P. 809 - 809
Published: Feb. 19, 2025
Smart
homes
have
become
an
important
part
of
our
daily
lives,
changing
habits
to
make
them
easier
live
with
in
a
sustainable
way.
This
study
highlights
context-sensitive
system
that
continuously
adapts
the
user’s
current
activities
and
physiological
order
preserve
physical
mental
health
while
achieving
sustainability
goals.
The
uses
Internet
Things
(IoT)
sensors
smart
home
devices
measure
indicators
such
as
activity,
heart
rate,
stress
levels,
sleep
quality.
Based
on
these
real-time
measurements,
device
offers
personalized
recommendations
for
healthier
lifestyle,
activity
reminders,
management
techniques,
quality
adjustments.
By
balancing
novelty
precision
its
recommendations,
model
aims
actively
involve
users
without
overloading
them,
thus
promoting
gradual
lasting
behavioral
changes.
architecture
also
incorporates
multi-criteria
evaluation
measures,
including
accuracy
novelty-based
diversity,
ensure
optimized
user
experience
is
both
accurate
adaptable.
paper
proposes
advanced
recommendation
enhanced
monitoring
by
integrating
decision-making
contextual
awareness
multi-objective
results.
proposed
makes
personal
dynamic
categorization,
using
different
kinds
notifications:
reminder
exercise,
health,
how
handle
stress.
approach
targeted
be
scalable
adaptive
real-world
conditions
enhance
overall
effectiveness
strategies
preventive
healthcare.
use
IoT
will
help
presenting
sound
framework
interventions,
enabling
engagement
better
outcomes.
