The efficiency of urban public transport and its impact on environmental sustainability
Sustainable Technology and Entrepreneurship,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100097 - 100097
Published: Jan. 1, 2025
Language: Английский
La nueva dimensión de las empresas de movilidad. Capacidades dinámicas, sostenibilidad y digitalización
Suma de Negocios,
Journal Year:
2025,
Volume and Issue:
16(34), P. 10 - 20
Published: Jan. 1, 2025
Introduction/Objective:
the
mobility
sector
underwent
a
rapid
transformation
driven
by
adoption
of
green
vehicles,
advanced
connectivity
systems,
and
innovative
service
models.
Grounded
in
Dynamic
Capabilities
Theory,
Triple
Bottom
Line,
Sustainability-Oriented
Innovation,
this
study
examined
how
automobile
manufacturers
implemented
new
business
models
linked
to
autonomous,
electric,
connected,
shared
vehicles.
It
also
evaluated
impact
digitalization
sustainability
on
these
transformations.
Methodology:
researchers
conducted
case
four
traditional
companies
within
automotive
sector.
Results:
findings
showed
that
not
only
transformed
but
redefined
While
analyzed
adopted
proposed
models,
data
management,
acquisition,
interconnectivity
emerged
as
critical
factors.
Conclusions:
suggested
three
dimensions
Line
were
insufficient
for
analyzing
sector,
proposing
Technology
fourth
pillar.
Additionally,
all
studied
demonstrated
varying
levels
Innovation
collaborative
innovation,
highlighting
strategic
importance
partnerships.
Resumen:
Introducción/objetivo:
el
de
la
movilidad
está
experimentando
una
transformación
acelerada
impulsada
por
adopción
vehículos
verdes,
sistemas
avanzados
conectividad
y
modelos
servicio
innovadores.
Este
estudio,
fundamentado
en
teoría
las
capacidades
dinámicas,
triple
resultado
innovación
orientada
sostenibilidad,
analiza
cómo
los
fabricantes
automóviles
están
implementando
nuevos
negocio
vinculados
autónomos,
eléctricos,
conectados
compartidos,
evaluando
además
impacto
digitalización
sostenibilidad
estas
transformaciones.
Metodología:
se
llevó
cabo
un
estudio
caso
cuatro
empresas
tradicionales
del
automotriz.
Resultados:
hallazgos
revelan
que
no
solo
ha
transformado
negocio,
sino
también
redefinido
Aunque
analizadas
han
adoptado
considerados,
gestión,
adquisición
e
interconexión
datos
destacan
como
factores
clave.
Conclusiones:
resultados
sugieren
tres
dimensiones
son
insuficientes
para
analizar
empresarial,
lo
propone
incluir
tecnología
cuarto
eje.
Asimismo,
todas
estudiadas
evidencian
distintos
niveles
colaborativa,
destacando
importancia
estratégica
colaboraciones.
Cyber Security for Cyber-Physical Systems in Critical Infrastructures: Bibliometrics Analysis and Future Directions
IEEE Transactions on Engineering Management,
Journal Year:
2024,
Volume and Issue:
71, P. 15405 - 15421
Published: Jan. 1, 2024
Language: Английский
A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility
Mathematics,
Journal Year:
2024,
Volume and Issue:
12(8), P. 1199 - 1199
Published: April 17, 2024
As
a
famous
population-based
metaheuristic
algorithm,
genetic
algorithm
can
be
used
to
overcome
optimization
complexities.
A
adopts
probabilistic
transition
rules
and
is
suitable
for
parallelism,
which
makes
this
attractive
in
many
areas,
including
the
logistics
supply
chain
sector.
To
obtain
comprehensive
understanding
of
development
area,
paper
presents
bibliometric
analysis
on
application
chains
using
data
from
1991
2024
Web
Science
database.
The
authors
found
growing
trend
number
publications
citations
over
years.
This
serves
as
an
important
reference
researchers
by
highlighting
research
such
multi-objective
optimization,
metaheuristics,
sustainability
issues
logistics,
machine
learning
integration.
also
underlines
importance
Non-Dominated
Sorting
Genetic
Algorithm
II
(NSGA-II),
sustainability,
learning,
variable
neighborhood
search
near
future.
integration
with
potential
gap
filled
limitations
algorithms,
long
computational
time,
difficulties
obtaining
optimal
solutions,
convergence
chains.
Language: Английский
The road to smart airports: Bibliometric analysis of digital transformation by using R language
İhsan Emrecan Şahin,
No information about this author
Vildan Durmaz
No information about this author
Work,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 28
Published: June 20, 2024
BACKGROUND:
The
accumulated
knowledge
has
led
to
a
state
of
misunderstanding
about
the
precise
meanings
digitalization,
and
framework
define
smart
airports
is
still
missing.
OBJECTIVE:
This
study
aims
reveal
current
status
future
direction
digital
transformation
in
academic
literature
provide
comprehensive
definition
for
airports.
METHODS:
identified
keywords
were
searched
Web
Science
database
covering
years
1989-2024
total
372
studies
found.
These
then
analyzed
using
Bibliometrix
(R
package).
RESULTS:
We
determined
that
most
influential
source
on
themes
Journal
Air
Transport
Management,
collaboration
index
three.
While
conferences
are
productive
sources
this
field,
journals
mostly
cited
studies.
Academic
typically
employ
evaluate
“performance”
“model,”
“impact”
“air,”
“economic
development”
“location”
tandem,
despite
distinction
between
technological
managerial
issues.
CONCLUSION:
In
light
findings,
airport
can
be
“an
ecosystem
where
personalized
service
provided
users
by
Industry
4.0
technologies
basis
big
data
analysis
real-time
sharing
objects;
digitalization
turned
into
holistic
organizational
culture
starting
from
top
management
cover
all
personnel;
decision-making
process
carried
out
autonomously
within
entire
operation
network;
main
goal
competitive
advantage
high-level
user
experience
uninterruptedly.”
Language: Английский