EKOMA Jurnal Ekonomi Manajemen Akuntansi,
Год журнала:
2025,
Номер
4(3), С. 5054 - 5064
Опубликована: Март 4, 2025
Penelitian
ini
bertujuan
untuk
mengeksplorasi
bagaimana
peran
informasi
akuntansi
dan
manajemen
dalam
mendukung
pengambilan
keputusan
di
organisasi
atau
perusahaan.
Metode
yang
digunakan
adalah
Systematic
Literature
Review
(SLR),
memberikan
sintesis
dari
literatur
relevan
pada
periode
2018-2024.
melibatkan
analisis
10
artikel
terpilih
berdasarkan
kriteria
tertentu,
seperti
relevansi
terhadap
topik
ketersediaan
data.
Hasil
penelitian
menunjukkan
bahwa
memainkan
penting
strategis
dengan
menyediakan
data
akurat,
relevan,
tepat
waktu.
Selain
itu,
memungkinkan
perusahaan
mengelola
risiko,
merencanakan
strategi,
meningkatkan
efisiensi
operasional.
Tantangan
utama
memanfaatkan
terletak
keterbatasan
pengelolaan
kompleks,
terutama
tidak
rutin.
juga
mengungkapkan
dampak
signifikan
kecerdasan
buatan
(AI)
akurasi
akuntansi,
meskipun
menimbulkan
isu
etika
privasi
objektivitas.
adopsi
usaha
kecil
menengah
(UMKM)
terbukti
dapat
pertumbuhan
melalui
peningkatan
finansial
non-finansial.
menyimpulkan
integrasi
teknologi,
big
blockchain,
serta
pendekatan
berbasis
bukti
perlu
dioptimalkan
kualitas
organisasi.
Di
sisi
lain,
intuisi
mengandalkan
insting
manusia
masih
diperlukan
melengkapi
kekurangan
kondisi
ketidakpastian.
The Journal of Economic Perspectives,
Год журнала:
2017,
Номер
31(1), С. 117 - 140
Опубликована: Янв. 30, 2017
In
this
paper,
we
document
basic
facts
regarding
public
debates
about
controversial
political
issues
on
Chinese
social
media.
Our
documentation
is
based
a
dataset
of
13.2
billion
blog
posts
published
Sina
Weibo—the
most
prominent
microblogging
platform—during
the
2009–2013
period.
primary
finding
that
shockingly
large
number
highly
sensitive
topics
were
and
circulated
For
instance,
find
millions
discussing
protests,
these
are
informative
in
predicting
occurrence
specific
events.
We
an
even
larger
with
explicit
corruption
allegations,
predict
future
charges
individuals.
findings
challenge
popular
view
authoritarian
regime
would
relentlessly
censor
or
ban
Instead,
interaction
government
media
seems
more
complex.
Sustainability,
Год журнала:
2023,
Номер
15(19), С. 14165 - 14165
Опубликована: Сен. 25, 2023
Artificial
intelligence
(AI)
is
emerging
as
a
disruptive
force
in
many
sectors,
and
using
it
accounting
isn’t
an
exception.
This
conceptual
paper
explores
the
role
of
AI
accounting,
for
financial
reporting,
auditing,
decision-making
provides
accountants
opportunity
to
improve
efficiency,
accuracy,
decision
support.
AI,
through
data
analytics,
algorithms,
automation,
etc.
has
important
field
with
some
challenges
also.
The
study
also
highlights
implications
achieving
several
Sustainable
Development
Goals
(SDGs).
Firstly,
AI-driven
automation
can
restructure
activities,
reducing
time
resource
consumption,
contributing
SDG
8
(Decent
Work
Economic
Growth).
In
addition,
by
providing
real-time
analysis,
empowers
businesses
make
sustainable
decisions
based
on
data,
aligning
9
(Industry,
Innovation,
Infrastructure)
SDG-16
(Peace,
Justice,
Strong
Institutions)
17
(Partnerships
Goals).
policy
makers,
technology
developers,
institutions
business
firms.
International Journal of Ethics and Systems,
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 4, 2023
Purpose
This
study
aims
to
analyse
the
ethical
implications
associated
with
development
of
artificial
intelligence
(AI)
technologies
and
examine
potential
ramifications
AI
technologies.
Design/methodology/approach
undertakes
a
thorough
examination
existing
academic
literature
pertaining
considerations
surrounding
AI.
Additionally,
it
conducts
in-depth
interviews
individuals
explore
benefits
drawbacks
technology
operating
as
autonomous
agents.
A
total
20
semi-structured
were
conducted,
data
transcribed
using
grounded
theory
methodology.
Findings
The
asserts
importance
fostering
an
environment
in
progress
suggests
avenues
for
further
investigation
field
ethics.
finds
privacy
security,
bias
fairness,
trust
reliability,
transparency
human–AI
interactions
major
concerns.
Research
limitations/implications
are
far-reaching
span
across
various
domains,
including
policy
development,
design
systems,
establishment
trust,
education
training,
public
awareness
research.
Notwithstanding
biases
inherent
purposive
sampling,
constantly
evolving
landscape
ethics
challenge
extrapolating
findings
all
applications
contexts,
limitations
may
still
manifest.
Originality/value
novelty
is
attributed
its
comprehensive
methodology,
which
encompasses
wide
range
stakeholder
perspectives
on
corporate
sector.
ultimate
goal
promote
systems
that
exhibit
responsibility,
accountability.
Technological Forecasting and Social Change,
Год журнала:
2023,
Номер
193, С. 122630 - 122630
Опубликована: Май 29, 2023
In
the
context
of
businesses
shifting
into
virtual
environment,
increasing
importance
IT
skills
as
a
result
acceleration
digitalization
accounting
on
one
hand,
and
overlapping
crises
other,
profession
was
forced
to
rapidly
adopt
innovative
digital
measures
meet
these
challenges.
Through
empirical
research
based
questionnaire
structured
four
categories
influencing
factors,
we
investigated
professional
accountants'
perceptions
their
readiness
for
further
training
in
light
new
labor
market
trends.
Our
analysis
reveals
that
adherence
digitization
are
influenced
by
several
factors.
First,
it
is
respondents'
ease
using
tools,
level
performance
achieved,
expected
effort
situational
factors
such
organizational
culture
regulatory
policies.
Second,
concerns
about
digitalization,
perceived
threats
associated
with
potential
job
losses
from
replacement
humans
artificial
intelligence
well
accidental
exposure
data
due
loss
control
therefore
causing
errors
measurement
reporting.
Journal of Applied Accounting Research,
Год журнала:
2023,
Номер
25(1), С. 81 - 104
Опубликована: Май 9, 2023
Purpose
Accounting
information
systems
are
mainly
rule-based,
and
data
usually
available
well-structured.
However,
many
accounting
yet
to
catch
up
with
current
technological
developments.
Thus,
artificial
intelligence
(AI)
in
financial
is
often
applied
only
pilot
projects.
Using
AI-based
forecasts
enables
proactive
management
detailed
analysis.
thus
far,
there
little
knowledge
about
which
prediction
models
have
already
been
evaluated
for
problems.
Given
this
lack
of
research,
our
study
aims
summarize
existing
findings
on
how
AI
used
forecasting
purposes
accounting.
Therefore,
the
authors
aim
provide
a
comprehensive
overview
agenda
future
researchers
gain
more
generalizable
knowledge.
Design/methodology/approach
The
identify
research
by
conducting
systematic
literature
review.
For
purpose,
Scopus
Web
Science
as
scientific
databases.
collection
resulted
final
sample
size
47
studies.
These
studies
were
analyzed
regarding
their
size,
period
machine
learning
algorithms.
Findings
identified
three
application
areas
presented
details
accuracy
methods
used.
Our
show
that
sociotechnical
still
missing.
also
develop
an
open
can
address
enable
frequent
efficient
use
Research
limitations/implications
Owing
rapid
development
algorithms,
results
state
research.
it
likely
new
algorithms
will
be
applied,
not
covered
interested
field
further.
Practical
implications
high
relevance
accounting,
several
potential
benefits
practitioners.
First,
different
cases.
Based
overview,
companies
evaluate
most
suitable
practical
needs.
Second,
practitioners
benchmark
what
achievable
should
strive
for.
Finally,
blind
spots
such
ensuring
employee
acceptance
companies.
consider
implement
successfully.
Originality/value
To
best
knowledge,
no
has
conducted
provided
aimed
bridge
gap.
Moreover,
cross-application
view
provides
general
insights
into
superiority
specific
Journal of Science and Technology Policy Management,
Год журнала:
2023,
Номер
unknown
Опубликована: Ноя. 24, 2023
Purpose
The
advent
of
artificial
intelligence
(AI)
in
the
accounting
landscape
marks
a
significant
shift,
promising
gains
efficiency
and
accuracy
but
also
eliciting
concerns
about
job
displacement
(JD)
broader
socio-economic
implications.
This
study
aims
to
provide
an
in-depth
understanding
how
AI’s
integration
contributes
JD,
reshapes
decision-making
processes
reverberates
across
economic
social
dimensions.
It
offers
evidence-based
policy
recommendations
mitigate
adverse
outcomes.
Design/methodology/approach
Leveraging
cross-sectional
survey
disseminated
through
Facebook,
this
research
used
snowball
sampling
target
diverse
cohort
professionals.
collected
data
were
subjected
meticulous
analysis
descriptive
regression
models,
facilitated
by
SmartPLS
4
software.
Findings
revealed
correlation
between
increasing
role
heightened
rate
JD.
found
that
is
not
isolated;
it
has
tangible
repercussions
on
paradigms,
well-being,
professional
work
dynamics
structures.
These
insights
corroborate
existing
frameworks,
including,
limited
to,
theories
technological
unemployment
behavioural
adjustments.
Research
limitations/implications
Although
providing
valuable
insights,
acknowledges
limitations
such
as
restricted
sample
size,
nature
inherent
biases
self-reported
data.
Future
could
aim
extend
these
initial
findings
adopting
longitudinal
approach
potentially
integrating
external
sources.
Practical
implications
As
AI
technology
becomes
increasingly
ingrained
practices,
there
urgent
need
for
coordinated
action
among
stakeholders.
Policy
include
focused
efforts
talent
retention,
investment
upskilling
programs
establishment
support
mechanisms
those
adversely
affected
adoption.
Originality/value
By
synthesising
range
theoretical
perspectives,
comprehensive
exploration
multi-dimensional
impacts
profession.
stands
out
its
nuanced
examination
JD
implications,
thereby
contributing
both
academic
discourse
formulation.
serves
call
action,
highlighting
strategies
exploit
potential
benefits
protect
workforce
from
disruptive
impact.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
For
the
past
several
years,
internal
audit
functions
(IAFs)
have
been
significantly
increasing
their
digitization
efforts
to
enhance
efficiency
and
effectiveness
of
IAF.
The
introduction
ChatGPT
has
increased
potential
for
IAFs
a
more
significant
impact;
however,
there
is
little
guidance
on
how
can
influence
day-to-day
work
auditors.
This
paper
demonstrates
with
specific
examples
be
used
all
aspects
process.
While
not
comprehensive
in
nature,
detailed,
illustrative
should
help
auditors
see
actionable
steps
they
take
efficient
effective
thus
add
value
organizations.
Finally,
it
helps
researchers
identify
avenues
future
research.
Computer Science & IT Research Journal,
Год журнала:
2023,
Номер
4(2), С. 54 - 68
Опубликована: Ноя. 25, 2023
This
research
paper
explores
the
integration
of
Artificial
Intelligence
(AI)
into
Information
Technology
(IT)
audits,
analyzing
current
practices,
training
requirements,
and
prospects.
The
literature
review
traces
historical
evolution
IT
emphasizing
transformative
impact
AI.
discussion
on
skill
requirements
outlines
evolving
role
auditors
strategies
for
equipping
them
with
essential
competencies.
Recommendations
emphasize
continuous
learning,
ethical
considerations,
collaboration,
envisioning
a
future
where
adeptly
leverage
AI
to
enhance
efficiency
strategic
value
audits
within
organizations
Keywords:
Intelligence,
Audits,
Governance,
Machine
Learning,
Auditing
Practices,
Skill
Development
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Март 11, 2024
Abstract
Artificial
intelligence
(AI)
can
support
the
company’s
internal
audit
function
(IAF)
by
delivering
substantial
strategic
oversight,
minimizing
manual
procedures,
and
making
possible
additional
value-added
auditing
service.
Currently,
there
are
research
gaps
in
literature,
such
as
limited
studies
on
topic,
low
AI
adoption
rates
IAF
across
different
countries
regions,
a
shortage
of
comprehensive
frameworks
for
effectively
using
IAF.
Hence,
this
review
work
aims
to
fill
gap
offering
an
outline
avenues
topic
literature
suggesting
new
compressive
framework
effective
use
This
paper
undertakes
systematic
(SLR)
approach
aspires
highlight
state
IAF,
deliver
insight
scholars
industry
experts
issue,
reveal
implications
technology.
Moreover,
quickly
make
artificial
functions,
CACS
was
recommended
with
attributes
commitment,
access,
capability,
skills
development
(CACS).
provides
significant
contributions
guiding
future
directions
theoretical
foundations
field.
On
practical
level,
will
help
auditors
assess
understand
potential
advantages
risks
implementing
their
organization’s
For
regulators,
should
prove
useful
updating
regulations
context
advanced
technology
ensuring
compliance
practices
evolving
Organizations
also
benefit
from
decide
whether
investments
justified.
made
initial
extensive
SLR
basis
developing
accounting.