WSEAS TRANSACTIONS ON SYSTEMS,
Год журнала:
2024,
Номер
23, С. 490 - 498
Опубликована: Дек. 31, 2024
his
research
aims
to
design
a
decision
support
system
(DSS)
modeling
for
predicting
the
best
employees
in
Company.
This
will
use
SAW
(simple
additive
weighting)
method.
has
helped
facilitate
process
of
assessing
and
selecting
at
can
minimize
injustice
employees.
It
even
saves
an
HRD
manager's
time
determining
ranking
is
expected
provide
effective
efficient
solution
employee
candidates
who
deserve
rewards.
specific
this
case
study
not
necessarily
suitable
other
organizations
that
may
have
their
own
assessment
criteria
(apart
from
SMART:
Specific,
Measurable,
Achievable,
Relevant,
Timely.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 59 - 92
Опубликована: Апрель 8, 2025
Artificial
Intelligence
(AI)
is
transforming
financial
risk
management,
employing
sophisticated
computational
methods
to
assess,
forecast,
and
reduce
risk.
This
chapter
discusses
the
potential
of
AI
change
how
institutions
manage
risk,
its
applications,
advantages,
challenges
implementation.
While
enables
precision
in
assessment
decision-making,
adoption
introduces
complex
ethical,
technical,
regulatory
challenges.
The
discussion
focuses
on
practical
implications,
new
approaches,
forward-looking
aspects
for
AI-based
management
systems.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Янв. 17, 2025
This
study
aims
to
explore
the
impact
of
artificial
intelligence
(AI)
and
automation
on
service
industries,
focusing
their
role
in
enhancing
operational
efficiency
decision-making
processes.
Utilizing
a
qualitative
methodology,
research
incorporates
expert
interviews,
case
studies,
secondary
data
reviews
gather
comprehensive
insights
into
current
applications
challenges
associated
with
AI
adoption.
The
findings
reveal
that
significantly
improves
customer
engagement,
streamlines
workflows,
enables
predictive
analytics,
thereby
fostering
better
business
outcomes.
However,
also
highlights
concerns
regarding
ethical
implications
workforce
displacement.
conclusions
emphasize
necessity
for
organizations
balance
technological
integration
human
oversight
reskilling
initiatives,
ensuring
sustainable
transition
an
AI-driven
landscape.
contributes
deeper
understanding
how
can
be
effectively
leveraged
sectors
while
addressing
potential
challenges.
Advances in human resources management and organizational development book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Дек. 27, 2024
This
chapter
focuses
on
decision
support
systems
(DSS)
based
artificial
intelligence
to
improve
work
related
well-being.
Concerning
well-being,
organizations
have
begun
appreciate
the
need
care
for
employees'
mental
and
physical
health,
AI
technologies
provide
way
of
approaching
problem.
The
system
includes
predictive
models,
feedback,
machine
learning
note
stress
causes
mood
changes.
Collect
health
sentiment
data
from
communication
interfaces,
human-wearable
devices,
engagement
surveys.
They
detect
stress,
also
recognize
possible
problem
areas
before
climax
problem,
so
that
necessary
measures
can
be
taken.
DSS
may
promote
general
well-being
employees
increase
organizational
performance
development.
efficient
use
analytical
techniques
enables
ensure
they
adapt
strategies
improving
standards
among
while
at
workplace.
Standards
Behaviour and Information Technology,
Год журнала:
2024,
Номер
unknown, С. 1 - 30
Опубликована: Ноя. 26, 2024
The
increasing
integration
of
artificial
intelligence
(AI)
in
managerial
decision-making
organisations
raises
questions
regarding
responsibilities.
We
explore
how
managers
attribute
responsibility
joint
scenarios
where
they
receive
advice
from
either
AI
agents
or
human
consultants.
Our
empirical
approach
combines
a
mixed-design
vignette
study,
providing
insights
into
managers'
attribution,
with
qualitative
data
on
manager
perceptions
agent
capabilities.
This
enhances
our
understanding
processes
involving
agents.
findings
highlight
that
agency
are
not
harmony
when
there
negative
consequences.
gap
between
being
responsible
and
assuming
is
critical
to
understand
given
perceived
be
their
decisions
greatly
affect
individuals.
work
also
presents
three
propositions
guide
future
research
the
discrepancies
feeling
responsible.
WSEAS TRANSACTIONS ON SYSTEMS,
Год журнала:
2024,
Номер
23, С. 490 - 498
Опубликована: Дек. 31, 2024
his
research
aims
to
design
a
decision
support
system
(DSS)
modeling
for
predicting
the
best
employees
in
Company.
This
will
use
SAW
(simple
additive
weighting)
method.
has
helped
facilitate
process
of
assessing
and
selecting
at
can
minimize
injustice
employees.
It
even
saves
an
HRD
manager's
time
determining
ranking
is
expected
provide
effective
efficient
solution
employee
candidates
who
deserve
rewards.
specific
this
case
study
not
necessarily
suitable
other
organizations
that
may
have
their
own
assessment
criteria
(apart
from
SMART:
Specific,
Measurable,
Achievable,
Relevant,
Timely.
