International Journal of Contemporary Management,
Год журнала:
2024,
Номер
60(1), С. 280 - 289
Опубликована: Март 1, 2024
Abstract
Purpose
Nowadays
automation
of
business
processes
is
increasing
in
popularity
among
organizations.
The
undeniable
benefits,
like
freeing
up
the
potential
and
time
well-educated
employees
so
they
can
focus
on
more
valued
activities,
are
well
known.
With
growing
number
automated
processes,
optimization
bot
usage
has
become
a
significant
factor
reducing
costs.
This
paper
presents
an
analysis
supporting
proper
management
process
context
bots’
license
usage.
Design
goal
this
research
to
build
tool
that
allows
for
demand
supports
runs.
Findings
For
described
case,
estimated
minimum
licenses
ensure
would
run
stable
manner,
identified
periods
different
utilization
levels.
Practical
implication
cost
current
infrastructure.
It
continuous
improvement
with
balanced
levels
utilization.
Value
be
easily
adopted
setups
infrastructure
bring
about
benefits
optimization.
Applied Sciences,
Год журнала:
2025,
Номер
15(2), С. 854 - 854
Опубликована: Янв. 16, 2025
This
paper
proposes
a
sustainable
model
for
integrating
robotic
process
automation
(RPA)
and
machine
learning
(ML)
in
predictive
maintenance
to
enhance
operational
efficiency
failure
prediction
accuracy.
The
research
identified
key
gap
the
literature,
namely
limited
integration
of
RPA,
ML,
sustainability
manufacturing,
which
led
development
this
model.
Using
PICO
methodology
(Population,
Intervention,
Comparison,
Outcome),
study
evaluated
implementation
these
technologies
Alpha
Company,
comparing
results
before
after
model’s
adoption.
intervention
integrated
RPA
ML
improve
accuracy
optimize
operations.
Results
showed
100%
increase
mean
time
between
failures
(MTBF),
67%
reduction
repair
(MTTR),
37.5%
decrease
costs,
71.4%
unplanned
downtime
costs.
Challenges
such
as
initial
costs
need
continuous
training
were
also
noted.
Future
could
explore
big
data
AI
further
demonstrates
that
leads
improvements,
cost
reductions,
environmental
benefits,
contributing
industrial
Sensors,
Год журнала:
2025,
Номер
25(3), С. 765 - 765
Опубликована: Янв. 27, 2025
This
article
focuses
on
the
integration
of
Internet
Things
(IoT)
and
Robotic
Things,
representing
a
dynamic
research
area
with
significant
potential
for
industrial
applications.
The
(IoRT)
integrates
IoT
technologies
into
robotic
systems,
enhancing
their
efficiency
autonomy.
provides
an
overview
used
in
IoRT,
including
hardware
components,
communication
technologies,
cloud
services.
It
also
explores
IoRT
applications
industries
such
as
healthcare,
agriculture,
more.
discusses
challenges
future
directions,
data
security,
energy
efficiency,
ethical
issues.
goal
is
to
raise
awareness
importance
demonstrate
how
this
technology
can
bring
benefits
across
various
sectors.
Arab World English Journal,
Год журнала:
2024,
Номер
1(1), С. 197 - 209
Опубликована: Апрель 22, 2024
In
a
time
when
digital
technologies
are
changing
educational
paradigms,
this
study
delves
into
integrating
Artificial
Intelligence
chatbots
in
enhancing
English
as
foreign
language
essay
writing,
marking
significant
shift
pedagogy.
With
the
backdrop
of
increasing
reliance
on
technology
settings,
research
foregrounds
chatbots’
potential
to
revolutionise
traditional
teaching
methodologies.
This
article
aims
scrutinise
efficacy
these
assistants
augmenting
essay-writing
skills
learners,
underlining
importance
aligning
technological
advancements
with
needs.
By
investigating
incorporation
curriculum,
highlights
their
capacity
offer
immediate,
personalised
feedback,
fostering
learning
environment
that
supports
individual
learners’
needs
and
preferences.
The
central
inquiry
revolves
around
identifying
optimising
mechanisms
through
which
can
contribute
developing
writing
proficiency
among
students.
Through
comprehensive
review,
paper
presents
insights
pedagogical
benefits
challenges
using
chatbots,
including
role
promoting
learner
autonomy,
accommodating
diverse
styles,
providing
safe
space
for
linguistic
experimentation.
findings
underscore
transformative
education,
advocating
paradigmatic
towards
more
interactive,
responsive,
learner-centred
approaches.
review
not
only
reaffirms
significance
but
also
opens
new
avenues
experiences
learners
Systems,
Год журнала:
2025,
Номер
13(2), С. 87 - 87
Опубликована: Янв. 31, 2025
In
today’s
rapidly
evolving
digital
landscape,
organizations
are
increasingly
seeking
systemic
approaches
to
optimize
their
financial
operations,
particularly
in
invoice
processing.
Traditional
methods
of
management,
which
heavily
reliant
on
manual
labor,
not
only
incur
significant
costs
but
also
contribute
inefficiencies,
delays,
and
resource
wastage.
This
article
presents
an
integrated
framework
that
combines
DevOps
methodologies
machine
learning
(ML)
transform
processing
into
a
scalable
sustainable
operation.
By
leveraging
system
dynamics
automation,
the
proposed
Proof
Concept
(PoC)
addresses
interconnected
challenges,
such
as
reducing
labor
dependency,
enhancing
operational
intelligence,
minimizing
environmental
impact.
The
PoC
includes
dynamic
model
training,
testing,
deployment,
monitoring,
enabling
adaptive
resilient
solutions
aligned
with
business
needs.
Findings
from
survey
highlight
potential
these
streamline
processes,
reduce
errors,
utilization
while
identifying
barriers
widespread
adoption.
combining
ML’s
predictive
power
DevOps’
agility,
advances
automation
provides
path
toward
operations
data-driven
economy.
ITM Web of Conferences,
Год журнала:
2025,
Номер
76, С. 01005 - 01005
Опубликована: Янв. 1, 2025
RPA
also
known
as
Robotic
Process
Automation
is
revolutionizing
the
way
businesses
operate
by
automating
mundane
tasks,
increasing
operational
efficiency,
and
lowering
overall
cost.
Yet,
researchers
study
theoretical
benefits
prevalent
in
State
of
Art,
without
validating
them
empirically,
or
studying
their
impact
across
industries
long
term.
About
This
aspires
to
fill
these
gaps,
offering
a
data
challenge-driven
scalable
framework
adoption.
In
this
study,
we
incorporate
real-world
perspectives,
AI-supported
automation,
process
mining
methods
quest
for
optimization,
differing
from
earlier
investigations.
long-term
return
on
investment,
workforce
collaboration,
ethical
auditing,
security
challenges
responsibility
automation.
We
present
adaptive
SMEs
well
large
enterprises.
addition,
our
research
findings
prove
that
AI-enabled
increases
efficiency
helps
firms
enhance
decision-making
with
aid
machine
learning
(ML)
natural
language
processing
(NLP).
proposes
detailed
roadmap
sustainable
intelligent
automation
business
processes
considering
scalability,
security,
compliance,
integration.
Revista de Gestão e Secretariado (Management and Administrative Professional Review),
Год журнала:
2025,
Номер
16(3), С. e4777 - e4777
Опубликована: Март 26, 2025
O
estudo
investiga
a
interação
entre
instituições,
atores
estratégicos
e
inovação
no
contexto
do
empreendedorismo
institucional,
empregando
meta-análise
para
sintetizar
diversas
perspectivas
aprofundar
compreensão
das
dinâmicas
em
ambientes
fortemente
influenciados
por
instituições.
A
pesquisa
não
apenas
enriquece
teoria
mas
também
oferece
insights
profissionais
acadêmicos
interessados
promover
organizações.
Utilizando
uma
abordagem
metodológica
que
incluiu
revisão
sistemática
de
artigos,
seleção
estudos
análise
redes
artigos
com
auxílio
ferramentas
computacionais,
o
revelou
predominância
caso
conteúdo
estatística
descritiva.
Os
principais
conceitos
explorados
foram
isomorfismo
dinâmico
trabalho
institucional.
No
entanto,
os
resultados
destacaram
incipiência
fragmentação
da
na
área,
pouca
conexão
trabalhos
autores.
As
conclusões
apontam
necessidade
mais
adotem
diferentes
metodologias,
além
um
fortalecimento
diálogo
pesquisadores
avanço
campo.
Além
disso,
evidenciou-se
as
instituições
impõem
regras,
podem
estimular
inovação,
enquanto
agência
estratégica
revela
têm
capacidade
adaptar-se
às
pressões
institucionais,
criando
espaço
práticas
inovadoras.
International Journal of Software Science and Computational Intelligence,
Год журнала:
2025,
Номер
17(1), С. 1 - 19
Опубликована: Март 27, 2025
This
paper
presents
a
systematic
literature
review
on
Intelligent
Process
Automation
(IPA),
focusing
its
role
in
modernizing
business
operations.
It
explores
the
integration
of
AI,
including
machine
learning
and
robotic
process
automation,
their
combined
impact
improving
efficiency
supporting
human-centric
tasks.
The
examines
synergy
between
AI
human
expertise,
highlighting
how
this
collaboration
enhances
decision-making,
reduces
errors,
speeds
up
task
execution.
also
investigates
digital
assistants
within
IPA
framework
redefine
operational
processes,
supported
by
case
studies
empirical
research.
addresses
challenges
ethical
concerns
related
to
integration,
offering
insights
risk
management
use.
In
conclusion,
it
emphasizes
paradigm
shift
created
AI-driven
IPA,
optimizing
processes
cognitive
tasks,
contributing
ongoing
discussion
about
AI's
transformative
human-machine
collaboration.
Economics & Sociology,
Год журнала:
2025,
Номер
18(1), С. 149 - 173
Опубликована: Март 1, 2025
The
study
investigates
the
role
of
digital
transformation,
including
artificial
intelligence
and
other
technologies,
in
logistics
enterprises.
It
aims
to
assess
impact
technologies
on
supply
chain
efficiency.
multiple
linear
regression
analysis
was
used
identify
most
critical
for
efficiency
dimensions
measured
by
enterprises'
performance
indicators.
data
collected
from
surveying
106
respondents
Kazakhstani
companies
processed
using
SPSS
software
program.
overall
Cronbach's
alpha
value
0.90
both
variables
demonstrates
a
high
internal
consistency
between
all
13
research
results
show
that
field
are
Barcode
GPS.
In
addition,
RFID
were
found
be
affect
chain’s
findings
related
revealed
following:
1)
average
growth
rate
production
costs
estimated
at
0.27,
indicating
moderate
growth;
2)
level
information
support
evaluated
about
0.27;
3)
document
turnover
has
an
0.31,
which
indicates
some
delay
processes;
4)
availability
innovative
0.28.
Thus,
observed
correlation
technology
usage
frequency
positive
outcomes
highlights
strategic
importance
investing
right
tools
drive
operational
excellence
chain.
Systems,
Год журнала:
2025,
Номер
13(4), С. 265 - 265
Опубликована: Апрель 8, 2025
This
study
explores
the
adoption
of
data-driven
approaches
to
business
process
management
(BPM)
by
micro,
small,
and
medium
enterprises
(MSMEs),
which
are
crucial
for
economic
growth
job
creation
but
often
face
challenges
in
adopting
advanced
technologies.
The
research
aims
understand
perceived
benefits
persistent
barriers
that
MSMEs
encounter
when
implementing
BPM.
A
critical
review
academic
literature
was
conducted,
focusing
on
factors
influencing
adoption,
benefits,
existing
challenges.
Literature
consistently
highlights
such
as
optimization,
informed
decision
making,
customer
personalization,
operational
efficiency,
adaptability,
risk
mitigation,
automation,
organizational
culture
transformation,
innovation,
transparency.
However,
also
identifies
significant
challenges,
including
technological
infrastructural
limitations,
resource
constraints,
training
skill
gaps,
cultural
resistance,
data
quality
issues,
difficulties
implementation
change
management,
analytical
technical
complexities.
These
findings
emphasize
that,
while
BPM
offers
substantial
opportunities
improve
competitiveness
successful
requires
careful
consideration
these
multifaceted
development
tailored
strategies
overcome
them.
