Bridging human resource development processes through generative Artificial Intelligence
Human Resource Development Quarterly,
Год журнала:
2024,
Номер
35(3), С. 247 - 256
Опубликована: Авг. 25, 2024
Abstract
This
editorial
article
examines
how
generative
Artificial
Intelligence
(GAI)
can
bridge
various
human
resource
development
(HRD)
processes.
As
GAI
adoption
increases
in
resources
practices,
understanding
its
potential
to
integrate
different
HRD
activities
becomes
more
important.
The
reviews
recent
literature
on
(AI)
applications
and
explores
GAI‐enabled
links
between
key
linkages
include
data‐driven
decision‐making,
real‐time
skill
gap
analysis,
job
crafting
with
GAI,
GAI‐supported
personalized
plans,
GAI‐powered
employee
sentiment
chatbots,
virtual
reality
simulations,
social
network
analysis
talent
organization
contexts.
By
highlighting
these
interconnections,
the
provides
insights
into
a
integrated
approach
HRD.
It
also
discusses
implications
for
practitioners
researchers,
analyzing
specific
of
recommending
future
research.
Язык: Английский
The synergy of human resource development (HRD) and artificial intelligence (AI) in today’s workplace
Human Resource Development International,
Год журнала:
2024,
Номер
27(4), С. 622 - 639
Опубликована: Июль 7, 2024
The
systematic
review
paper
examines
the
relationship
between
artificial
intelligence
and
human
resource
development
in
organisations.
study
aims
to
understand
AI's
symbiotic
role
improving
HRD
functions
like
training
development,
organisational
career
performance
management,
workforce
planning
last
two
decades.
It
highlights
how
AI
revolutionises
HRD,
including
learning
planning.
also
covers
plays
facilitating
adoption.
This
closes
gap
by
highlighting
benefits
of
this
relationship.
work
poses
crucial
research
questions
guide
future
investigations.
cover
is
essential
for
ensuring
smooth
adoption
boost
capital
focusing
on
can
strengthen
critical
functions.
By
employing
practices
improve
function,
increase
our
understanding
need
together
synergy.
Язык: Английский
Optimizing HR Operations With Generative AI
Advances in business strategy and competitive advantage book series,
Год журнала:
2025,
Номер
unknown, С. 195 - 218
Опубликована: Янв. 31, 2025
In
the
rapidly
evolving
landscape
of
healthcare,
optimizing
human
resource
(HR)
operations
is
crucial
for
maintaining
efficiency
and
improving
patient
care.
This
chapter
explores
strategic
integration
generative
artificial
intelligence
(AI)
into
HR
management,
focusing
on
its
transformative
potential
in
healthcare
sector.
By
leveraging
AI,
organizations
can
streamline
recruitment,
enhance
employee
engagement,
automate
routine
administrative
tasks,
leading
to
a
more
agile
responsive
function.
The
provides
comprehensive
overview
current
applications
AI
HR,
presents
case
studies
from
institutions,
discusses
ethical
considerations
challenges
associated
with
adoption.
Practical
recommendations
implementing
AI-driven
strategies
are
also
outlined,
offering
valuable
insights
leaders
aiming
foster
innovation
operational
excellence.
Язык: Английский
Identifying Enablers and Barriers to Using Artificial Intelligence in Human Resource Management Practices
Опубликована: Янв. 1, 2025
Язык: Английский
The Ethical Role of Generative Artificial Intelligence in Modern HR Decision-Making: A Systematic Literature Review
European Journal of Business Management and Research,
Год журнала:
2025,
Номер
10(1), С. 44 - 55
Опубликована: Янв. 23, 2025
The
rapid
development
of
generative
artificial
intelligence
(AI)
has
led
to
the
recognition
tools
like
ChatGPT
and
its
potential
transform
human
resource
(HR)
management
processes,
particularly
in
decision-making.
This
review
study
aims
assess
effectiveness
benefits
enhancing
HR
functions,
decision-making,
identify
any
challenges
ethical
considerations
involved.
Additionally,
seeks
establish
a
hybrid
framework
that
combines
AI-driven
decision-making
with
oversight.
A
systematic
literature
was
conducted
using
PRISMA
guidelines,
selecting
50
articles
from
Scopus
Google
Scholar
databases.
includes
synthesis
analysis
publication
trends
keyword
key
themes
such
as
ChatGPT’s
impact
on
management.
reveals
can
streamline
improve
communication,
support
personalized
learning
eventually
contributing
enhanced
performance
engagement.
However,
technology
requires
input
for
moral
judgment
empathy,
presenting
resistance
adoption,
algorithmic
bias,
data
privacy
concerns.
uniquely
contributes
by
providing
role
proposing
addresses
AI’s
limitations
through
guidelines
findings
emphasize
need
empirical
research
larger,
diverse
settings
future
enhancements
contextual
understanding
HR.
Язык: Английский
Yapay Zekâ ve Örgüt Temelli Araştırmaların Potansiyel Eğilimleri Üzerine Bibliyometrik Bir Analiz
Bulletin of Economic Theory and Analysis,
Год журнала:
2024,
Номер
9(3), С. 669 - 698
Опубликована: Окт. 31, 2024
Yapay
zekâ
teknolojilerinin
örgütler
ve
örgütlü
yaşam
üzerindeki
etkisi,
iş
dünyasının
akademik
çalışmaların
ana
meselelerinden
biri
haline
gelmiştir.
zekânın
örgüt
çalışmalarında
giderek
daha
fazla
yer
bulduğu
özellikle
veri
analizi,
karar
verme
süreçleri
insan
kaynakları
yönetimi
alanlarında
örgütlerin
performansını
artırma
potansiyeline
sahip
olduğu
görülmektedir.
Bu
bağlamda,
çalışmada,
yapay
temelli
araştırmaların
mevcut
potansiyel
eğilimlerini
tespit
etmek,
çalışmaları
arasındaki
kesişim
noktalarını
araştırılmayı
bekleyen
alanları
keşfetmek
hedeflenmiştir.
araştırmalarını
konu
eden
yayın
atıf
trendleri,
anahtar
kavramlar
etkileşimler
üzerinden
bibliyometrik
bir
analiz
yapılmıştır.
RStudio
tabanlı
Biblioshiny
programı
kullanılarak
yapılan
analiz,
Web
of
Science
tabanından
alınan
1085
makale
gerçekleştirilmiştir.
örgütsel
alanda
kullanımıyla
ilgili
yayınların
atıfların
arttığı,
bu
teknolojilerin
süreçlerine
entegrasyonunun
stratejik
yenilikleri
destekleyebileceği
görüşü
yayınlarda
öne
çıkmaktadır.
Ayrıca,
uygulamalarının
etik
şeffaf
şekilde
yönetilmesi
gerekliliği
vurgulanmaktadır.
Çalışma,
çalışmalarının
kesişimindeki
literatüre
sistematik
bakış
sunarak,
alandaki
tartışmalara
mütevazi
katkı
sağlamakta
gelecekteki
araştırmalar
için
referans
kaynağı
olarak
kullanılabilecek
öneriler
sunmaktadır.
Ethical Frameworks for Use in Artificial Intelligence Systems
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 122 - 154
Опубликована: Авг. 21, 2024
The
chapter
examines
the
ethical
landscape
of
AI,
focusing
on
development
and
deployment
Responsible
AI
systems.
increased
systems
powered
by
artificial
intelligence
technologies
necessitates
making
work
more
predictable,
trustworthy,
ethical.
such
require
use
AI.
A
healthcare
system,
for
example,
is
a
classic
system
where
used
in
collaborations
decision-making.
Studying
allows
us
to
understand
historical
context
evolution
Ethics
challenges
risks
associated
with
Ethical
frameworks
six
assurance
goals,
existing
guidelines,
core
principles
behind
them.
Future
considerations
further
research
that
emerge
because
evolving
concerns
potential
misuse
are
discussed.
Язык: Английский