This
article
explores
how
implementing
IRPA
in
enterprises
could
have
a
revolutionary
effect.
Businesses
looking
to
maximize
efficiency
can
find
partnership
between
and
SAP
systems
be
wise
way
achieve
their
goals.
study
investigates
several
company
operations
including
payroll
processing,
human
administration,
financial
accounting
processes,
logistics
are
impacted
by
integration.
talk
the
benefits,
challenges,
best
practices
for
integrating
with
SAP,
offering
specific
instances
from
real-world
projects
that
highlight
effectiveness
of
this
relationship.
The
future
scope
IRPA-SAP
integration
looks
at
enhanced
analytics,
hyper-automation,
cutting-edge
cognitive
features,
broader
industry
applications,
growth
human-robot
cooperation.
A
thorough
analysis
highlights
tactics
businesses
may
use
SAP's
IRPA's
combined
power
accelerate
digital
transformation
peak
performance.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 37623 - 37636
Published: Jan. 1, 2023
Robotic
Process
Automation
(RPA),
which
automates
repetitive,
rule-based
operations,
is
becoming
a
crucial
component
of
today's
enterprises
as
they
compete
in
more
dynamic
business
contexts.
This
study
intends
to
provide
implications
on
the
Benefits
Realization
Key
Success
Factors
(BRKSFs)
appropriate
for
RPA
projects,
given
that
between
30%
and
50%
initiatives
fail.
The
methodology
this
comprises
three
stages:
identify
main
contributing
BRKSFs,
develop
hierarchical
relationship
model
real-world
examples
show
usability
BRKSFs
using
two
case
studies.
results
having
clear,
well-defined,
unchanging
process
most
important
BRKSF
because
its
strong
influence
over
other
factors.
Three
factors,
namely,
aligning
objective
initiative
with
organization's
strategic
objectives,
choosing
right
automation,
change
management,
have
lower
driving
powers
but
high
dependence
than
five
factors
both
are:
prioritizing
benefits
can
be
obtained
through
initiative,
performing
feasibility
study,
assembling
cross-functional
team,
team
leader
receiving
support
from
top
management.
sheds
light
interdependencies
academics
professionals,
enabling
them
determine
variables
need
considered
initiatives.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(21), P. 9648 - 9648
Published: Oct. 22, 2024
This
article
investigates
the
growing
integration
between
Artificial
Intelligence
(AI)
and
Robotic
Process
Automation
(RPA),
proposing
an
innovative
model
aimed
at
optimizing
operational
efficiency
of
organizations
balancing
social
environmental
impacts
arising
from
use
these
technologies.
The
research
identifies
a
significant
gap
in
literature
through
systematic
review,
revealing
need
for
greater
attention
to
implementation
AI
RPA.
Employing
approach
based
on
PICO
methodology
(Population,
Intervention,
Comparison,
Outcome),
this
study
justifies
formulation
hypotheses
choice
methodology,
ensuring
scientific
rigor.
proposed
considers
ethical
issues
such
as
privacy
cybersecurity
explores
challenges
associated
with
adoption
innovations.
discussion
includes
readiness
integrate
technologies,
highlighting
technical
cultural
limitations
that
may
influence
model’s
effectiveness.
theoretical
results
suggest
careful
can
optimize
resource
utilization,
promoting
balance
responsibility.
Furthermore,
presents
analysis
positive
impacts,
improved
efficiency,
negative
fear
job
displacement
RPA,
reinforcing
responsible
fosters
sustainability
digital
age.
Journal of Science and Technology Policy Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 4, 2025
Purpose
In
line
with
the
noticeable
trend
toward
automation
in
internal
audit
functions,
and
considering
Saudi
Arabia’s
Vision
2030,
which
prioritizes
technological
innovation,
purpose
of
this
study
is
to
explore
adoption
robotic
process
(RPA)
within
KSA’s
various
sectors
auditing
domain,
a
particular
emphasis
on
understanding
challenges
evaluating
impact
efficiency.
Design/methodology/approach
Using
quantitative
research
design,
uses
bootstrapping
approach
partial
least
squares
structural
equation
modeling
(PLS-SEM)
meticulously
analyze
data
collected
from
138
certified
auditors
around
KSA.
Findings
This
reveals
associations
between
regulatory
environment,
security,
vendor
reputation,
intention
adopt
RPA
Practical
implications
The
findings
offer
valuable
insights
for
auditors,
policymakers
industry
practitioners
involved
initiatives.
organizations
can
use
these
results
develop
informed
strategies
navigating
maximizing
benefits
implementation
functions.
Originality/value
contributes
significantly
existing
literature
by
delving
into
RPA,
efficiency,
specifically
context
KSA
–
an
area
that
has
not
been
extensively
studied.
Context:
The
adoption
of
emerging
technologies
such
as
Artificial
Intelligence
(AI),
Machine
Learning
(ML),
Robotic
Process
Automation
(RPA),
and
Mining
(PM)
is
transforming
business
process
management
(BPM)
mainly
its
automation
process,
enhancing
operational
efficiency
in
services
industrial
processes,
promoting
innovation.
Problem:
integration
with
BPM
faces
organizational
technical
challenges,
including
workforce
adaptation,
resistance
to
change
high
costs,
limiting
potential
increase
productivity.
Solution:
This
article
aims
investigate
analyze
the
approaches
structures
that
enable
BPM,
addressing
key
questions
interest
regarding
their
impact,
implementation,
effectiveness
settings.
Information
Systems
Theory:
research
was
based
on
aegis
Diffusion
Innovations
Theory,
exploring
how
drive
innovations
accelerating
reorganization.
Method:
We
conducted
a
systematic
mapping
studies
published
between
2019
2024,
quantitative
analysis
selected
studies.
Summary
Results:
highlighted
AI,
RPA,
most
cited
automation.
However,
gaps
were
identified
technologies,
pointing
out
challenges
opportunities
for
improvement.
Contributions
Impact:
provides
insights
into
adaptation
change.
Its
findings
foster
artifacts
IT
managers
professionals,
efficiency,
competitiveness,
innovation
new
academic
research.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 34
Published: May 2, 2025
Robotic
Process
Automation
facilitates
the
automation
business
processes
that
are
repetitive,
rule-based,
use
structured
digital
data,
time-sensitive
and
often
seasonal,
involve
out-of-hours
jobs,
prone
to
errors
if
executed
by
human
operators,
may
require
regulatory
compliance.
In
this
chapter,
an
adapted
model,
RPA
decision
matrix,
has
been
presented
determine
automatability
of
a
process.
A
brief
overview
classifications
various
bot
types
given
understand
its
evolutionary
path.
The
study
in
chapter
is
scoping
review
involving
white
literature
from
Scopus
gray
sources.
“Authority,
Accuracy,
Coverage,
Objectivity,
Date,
Significance”
(AACODS)
framework
was
used
for
selection
literature.
narrative
synthesis
selected
done
answer
five
research
questions
evolution
RPA,
analysis
value
proposition,
challenges
faced
implementation,
factors
critical
success,
finally,
trajectory
it
taking
into
future.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 137025 - 137052
Published: Jan. 1, 2023
Establishing
a
well-functioning
Supply
Chain
Management
(SCM)
system
is
paramount
during
challenging
times
such
as
pandemics,
natural
disasters,
and
international
conflicts.
The
complexity
of
global
supply
chains
necessitates
efficient
systems,
procedures,
personnel
to
ensure
optimal
results.
Poor
coordination
among
entities
can
lead
increased
counterfeit
products,
ocean
transportation
costs,
more
expensive
freight
brokerage,
bottlenecks
in
cargo
flow,
congestion,
complications
product
accountability.
To
smooth
hassle-free
operation,
it's
essential
maintain
unambiguity
accuracy
throughout
every
process.
Therefore,
it
vital
have
effective
place
for
SCM.
challenges
encountered
SCM
be
effectively
tackled
by
utilizing
blockchain
technology.
architecture
technology
characterized
its
distributed,
decentralized
robust
safety
measures,
which
guarantee
the
integrity
data
storage
distribution
across
meticulously
organized
ledger.
Users
confidently
rely
on
this
innovative
design's
transparency,
reliability,
safety.
Implementing
carries
immense
potential
bolstering
privacy
measures
diverse
sectors,
including
agriculture,
healthcare,
Goods
Services
Tax
(GST),
academics,
e-voting
automobile.
This
investigation
delves
into
practical
applications
It
thoroughly
analyses
existing
research
literature
uncover
latest
advancements
future
breakthroughs
area.
Journal of Communications Software and Systems,
Journal Year:
2024,
Volume and Issue:
20(2), P. 215 - 225
Published: May 28, 2024
Robotic
Process
Automation
(RPA)
is
a
cutting-edge
technology
that
empowers
software
robots
to
perform
repetitive
digital
tasks
based
on
predefined
rules.
Traditionally,
these
are
carried
out
by
humans
interacting
with
various
applications
through
mouse
and
keyboard
actions.
RPA
excel
at
emulating
human
actions
exceptional
precision,
speed,
consistency.
has
gained
widespread
popularity
across
industries
for
its
capacity
streamline
business
processes,
increase
productivity,
reduce
operational
costs.
In
educational
settings,
becoming
an
integral
part
of
broader
transformations.
The
related
work
discussed
in
this
paper
highlights
commonly
utilized
automate
administrative
university
staff,
teachers,
occasionally
students,
while
potential
the
learning
process
remain
largely
unexplored.
Addressing
research
gap,
we
introduce
innovative
approach
leverage
informal
learning.
Our
method
focuses
automating
course
search
e-learning
platforms.
proposed
algorithm
includes
interaction
platform
interface,
extraction
essential
details,
storing
retrieved
data,
generating
structured
reports,
all
communicating
systems.
Subsequently,
present
solution
developed
approach,
along
outcomes,
evaluation,
discussion
findings.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 9753 - 9753
Published: Nov. 8, 2024
Intelligent
Robotic
Process
Automation
(IRPA)
combines
Artificial
Intelligence
(AI)
and
(RPA)
to
automate
complex
unstructured
tasks,
improve
decision-making,
cope
with
changing
scenarios.
A
process
analysis
framework
for
IRPA
adoption
was
developed
by
identifying
key
factors
through
a
literature
review
semi-structured
expert
opinion
survey.
The
employed
experts
in
the
survey
comprised
RPA/IRPA
consultants,
initiative
team
leaders,
developers
three
years
or
more
experience.
For
initial
factor
collection
phase,
there
were
total
of
eighteen
(18)
responses,
evaluation
twenty-six
(26)
used
collect
responses.
Identified
shortlisted
evaluated
using
Relative
Importance
Index
(RII)
analysis.
study’s
findings
are
presented
Causal-Loop
Diagram
(CLD)
illustrate
relationships
between
factors.
provides
practical
guidance
organizations
planning
adopt
IRPA,
informing
resource
allocation,
strategy
development.
final
highlights
importance
accuracy,
level
human
involvement
task,
standardization
as
main
primary
successful
adoption.
Three
major
secondary
identified:
digital
data
input,
integration
existing
systems,
cost
adopting
new
technologies.
This
research
contributes
added
value
knowledge
serves
foundation
future
Journal of Global Information Management,
Journal Year:
2024,
Volume and Issue:
32(1), P. 1 - 24
Published: Nov. 29, 2024
Digital
transformation
(DT)
and
automation
technologies
have
significantly
impacted
logistics
supply
chain
management
(LSCM),
enhancing
business
performance.
Efforts
to
automate
processes
alongside
machine
robotic
aim
improve
reliability,
consistency,
efficiency,
cost-effectiveness.
While
existing
research
has
explored
specific
aspects
of
DT
process
(RPA),
the
deployment
implementation
RPA
as
a
service
(RPAaaS)
in
LSCM
are
under-explored.
This
study
focuses
on
aims
organisational
associated
with
DT.
A
systematic
review
identifies
five
knowledge
clusters
regarding
for
LSCM.
Real-life
cases
third-party
company
highlight
challenges
opportunities
related
deployment.
Insights
timing
choice
RPAaaS
platform
facilitate
enterprises
discussed.
paper
provides
extensive
theoretical
insights
into
offers
practical
guidance
streamlined
implementation.
Stratejik Yönetim Araştırmaları Dergisi,
Journal Year:
2024,
Volume and Issue:
7(2), P. 84 - 141
Published: May 6, 2024
Tedarik
zincirleri
müşteri
değeri
odaklı
işbirlikçi
ağlardır.
Bu
nedenle
değer
zincirlerinde
esneklik
ve
dayanıklılık
kavramlarının
doğasının
anlaşılması
değişen
perspektiflerinin
anlaşılmasına
bağlıdır.
Müşteri
yaklaşımlarının
işletmelerin
uzun
vadeli
performans
düzeyleri
üzerindeki
etkileri,
süreçlerin
oluşum
sürecinde
kurulan
ilişkilerin
kritik
hale
gelmesine
neden
olmaktadır.
çalışmanın
temel
amacı
geleneksel
olarak
firma
düzeyinde
ele
alınan
kavramlar
olan
“Esneklik”
“Dayanıklılık”
tedarik
zinciri
alınmasının
ardındaki
teorik
arka
planı
incelemek
güncel
yazında
öne
çıkan
eğilimleri
bu
plan
ışığında
değerlendirmektir.
sayede
gelecekte
alan
ön
plana
çıkması
muhtemel
konu
başlıkları
üzerine
bir
tartışma
sahası
oluşturmak
amaçlanmıştır.
Çalışma
sonunda
açıkça
ortaya
çıkmıştır
ki
işletme
başarısını
amaçlarının
ne
olması
gerektiğini
inceleyen
yaklaşımları
yürütülmekte
kavramının
yönetim
alınmasını
teşvik
etmektedir.