Robotic
Process
Automation
(RPA)
is
a
repetitive
process
automation
methodology
working
on
top
of
all
the
already
defined
systems
present
in
any
organization
[1]
[2].
The
RPA
technology
mimics
humans
by
with
multiple
user
interfaces
and
applications.
It
increases
efficiency
integrating
existing
able
them
to
work
as
system.
use
case
being
widely
explored
across
different
business
processes,
including
processing
employees'
payments,
hiring
inventory
management,
etc.
industries
such
FMCG,
outsourcing,
healthcare
much
more.
But
application
lagging
behind
Customer
Query
Management
automated
Banking
sector.
importance
customer
query
management
banking
sector
for
satisfaction
studied.
This
study
proposes
framework
managing
queries
using
developing
layer
which
works
but
will
integrate
into
whole
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.
Management,
Год журнала:
2025,
Номер
1, С. 17 - 42
Опубликована: Март 20, 2025
<b>Research
background
and
purpose:</b>
The
Automation
of
Office
Work
finds
extensive
application
in
enterprise
management
support
areas,
including
finance,
sales
customer
service,
accounting,
warehouse
operations,
logistics,
more.
However,
implementing
automation
is
not
solely
about
improving
efficiency
or
enhancing
working
conditions.
Many
enterprises
encounter
challenges
related
to
investment
start-up
costs,
ongoing
expenses,
opportunity
costs
such
as
changes
employee
behaviour
their
approach
work.
aim
this
article
identify
assess
the
key
that
may
face
when
Work.
<b>Design/methodology/approach:</b>
To
achieve
aim,
survey
research
was
conducted
first
quarter
2024
with
a
sample
109
enterprises.
A
statistical
analysis
collected
data
performed
using
Statistica
software.
<b>Findings:</b>
study
confirmed
stated
hypotheses.
Regarding
H1,
implementation
represent
particularly
significant
challenge
automation.
These
encompass
initial
investments,
expenses
for
maintenance,
training,
adaptation
business
processes,
all
which
significantly
impede
efficient
utilization
Robotic
Process
platforms.
H2
also
confirmed,
indicating
direct
impact
on
human
factors
job
satisfaction,
engagement,
creativity.
<b>Value
added
limitations:</b>
revealed
can
reduce
interpersonal
interactions
among
employees,
weakening
social
bonds
potentially
leading
burnout.
mitigate
these
negative
effects,
balanced
prioritizes
development
satisfaction
essential.
subject
several
limitations
influence
its
results
interpretations:
(1)
selection
bias
–purposive
financially
stable
companies;
(2)
Exclusion
MicroEnterprises;
(3)
Overemphasis
Certain
Legal
Forms;
(4)
Focus
Established
Markets
Business Process Management Journal,
Год журнала:
2024,
Номер
30(8), С. 232 - 259
Опубликована: Июль 4, 2024
Purpose
Many
organizations
currently
transition
towards
digitalized
process
design,
execution,
control,
assurance
and
improvement,
the
purpose
of
this
research
is
to
empirically
demonstrate
how
data-based
operational
excellence
techniques
are
useful
in
environments
by
means
optimization
a
robotic
automation
deployment.
Design/methodology/approach
An
interpretive
mixed-method
case
study
approach
comprising
both
secondary
Lean
Six
Sigma
(LSS)
project
data
together
with
participant-as-observer
archival
observations
applied.
A
report,
per
DMAIC
phase
(1)
objectives,
(2)
main
deliverables,
(3)
results
(4)
key
actions
leading
achieving
presented
presented.
Findings
Key
findings
comprise
importance
understanding
acquire
prepare
large
system
generated
need
for
better
system-generated
database
validation
mechanisms.
Finally
contextual
LSS
lead
emphasized,
foundational
curriculum
developments
order
be
effective
environments.
Originality/value
This
provides
rich
prescriptive
demonstration
methodology
implementation
RPA
deployment
one
few
empirical
demonstrations
based
problem
solving
industry
4.0
contexts.
The
paper
investigates
the
nuances
of
RPA
risk
management,
detailing
difficulties,
tendencies,
and
approaches
organizations
must
adopt
to
integrate
into
their
operations
successfully.
From
automation
optimization,
RPA's
impact
on
industry
workflow
is
revolutionary.
However,
introduces
a
spectrum
technical,
operational,
business,
compliance
risks
alongside
its
benefits.
Amidst
intricate
landscape
RPA,
this
sheds
light
key
risks.
It
offers
practical
strategies
for
tackling
them,
enabling
confidently
unlock
automation's
transformative
power.
Trends
like
advanced
analytics
fusion,
AI-driven
analysis,
blockchain
utilization
will
likely
influence
future
management.
In
addition,
discusses
evolving
challenges,
including
ethical
issues,
breakneck
technology
evolution,
digital
security
dangers.
Using
an
in-depth
examination
prepares
ever-changing
environment
with
informed
decisions
proactive
measures.
Heliyon,
Год журнала:
2023,
Номер
9(7), С. e18041 - e18041
Опубликована: Июль 1, 2023
Automation
is
a
concept
that
has
been
previously
introduced
in
organizations
as
means
to
improve
their
processes.
However,
Robotic
Process
(RPA)
an
emerging
method
automate
processes
with
software,
which
the
industry
calls
robots.
These
robots
perform
repetitive
and
low-complexity
tasks
performed
by
humans
front
of
computer
known
most
commonly
used
feature
company
nowadays.
Using
Design
Science
Research
methodology
build
up
this
article,
it
argued
RPA
being
idly
compared
its
full
potential
would
entail
using
process
improvement
techniques
before
applying
automation
itself.
Thus,
article
proposes
new
approach
through
use
Lean
techniques.
This
assesses
two
market
leaders
RPA.
It
suggests
framework
activities
for
are
investing
want
take
advantage
capabilities
currently
offered
technology.
The
majority
demonstration
proposal
was
carried
out
Portuguese
private
bank
three
Depending
on
different
cases,
had
overall
positive
evaluation
field
or
simulations.
Comparing
projects
number
resources
(time,
FTE)
needed
carry
business
processes,
latter
presented
values
were
significantly
lower
and,
consequently,
satisfactory.
Robotic
Process
Automation
(RPA),
Artificial
Intelligence
(AI),
and
Blockchain
(BC)
applications
are
several
of
the
widely
sought
components
Fourth
Industrial
Revolution
(4IR).
As
with
any
nascent
technology,
security
challenges
arise
expose
their
vulnerabilities,
impacting
national
governments,
businesses,
individuals.
This
paper
produced
a
systematic
literature
review
to
identify
primary
technical
regarding
RPA
Intelligent
(IA)
its
implementation
within
business
organizations.
The
found
eight
significant
in
literature.
Robust
logging,
auditing,
access
control
were
most
frequently
discussed
challenges.
Based
on
results,
BC
technologies
have
considerable
potential
be
viable
solution
address
IA’s
logging
auditing
mitigate
data
leakage
digital
fraud
Electronics,
Год журнала:
2024,
Номер
13(4), С. 769 - 769
Опубликована: Фев. 15, 2024
Ensuring
RPA
(robotic
process
automation)
security
is
a
critical
aspect
when
developing
and
operating
automated
software
robots.
One
of
the
key
steps
for
secure
robots
design
stage:
identification
specification
requirements
system,
description
system
precedents,
interaction
between
classes
involved
in
robot
being
created,
etc.
Designs
using
security-oriented
formal
modeling
languages,
such
as
UMLsec
extension
UML,
involve
not
only
visual
representation
diagrams
but
also
possibility
to
focus
attention
on
issues.
However,
currently,
scientific
community,
there
no
stereotypes
specialized
robots—a
mechanism
expanding
unified
language
that
would
explicitly
reflect
specific
problem
subject
area.
In
this
article,
we
propose
UMLRPAsec-extension
can
be
used
model
context.
Proceedings of International Conference on Artificial Life and Robotics,
Год журнала:
2024,
Номер
29, С. 534 - 540
Опубликована: Фев. 22, 2024
This
study
focuses
on
the
challenges
and
potential
for
Intelligent
Document
Processing
(IDP)
with
Artificial
Intelligence
(AI)
to
manage
unstructured
data.A
large
amount
of
data
in
many
different
forms,
such
as
information
from
IoT,
cybersecurity
more
are
produced
during
this
modern
Digital
Age
which
has
been
widely
distributed
through
a
wide
range
unformatted
formats.IDP
utilizes
AI
technologies
like
Machine
Learning
(ML),
Natural
Language
(NLP),
Computer
Vision
(CV),
aim
converting
into
structured,
usable
information.The
IDP,
explored
findings
discussion
section
that
emphasizes
its
capability
automatically
perform
redundant
tasks,
reduce
operating
costs
well
improve
employee
productivity.
