Barriers and Enablers of AI Adoption in Human Resource Management: A Critical Analysis of Organizational and Technological Factors
Information,
Год журнала:
2025,
Номер
16(1), С. 51 - 51
Опубликована: Янв. 15, 2025
This
paper
examines
the
key
factors
recognized
as
transformative
in
field
of
human
resource
management
(HRM)
and
explores
their
influence
on
global
adoption
artificial
intelligence
(AI).
While
AI
holds
significant
promise
for
enhancing
HRM
efficiency,
employee
engagement,
Decision
Making,
its
implementation
presents
a
range
organizational,
technical,
ethical
challenges
that
organizations
worldwide
must
navigate.
Change
aversion,
data
security
worries,
integration
expenses
are
major
roadblocks,
but
strong
digital
leadership,
company
culture,
advancements
NLP
machine
learning
enablers.
complex
analysis
questions
common
perception
only
disruptive
by
delving
into
relationship
between
power
dynamics,
corporate
technology
infrastructures.
In
this
paper,
we
bring
together
research
from
several
fields
to
help
scholars
practitioners
understand
nuances
HRM,
with
an
emphasis
importance
inclusive
methods
frameworks.
Язык: Английский
Gap Analysis in Strategic Upskilling: The Impact of Artificial Intelligence on Hris Practices and Workforce Development
Опубликована: Янв. 1, 2025
Язык: Английский
Trust influence on AI HR tools perceived usefulness in Swiss HRM: the mediating roles of perceived fairness and privacy concerns
AI & Society,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
Язык: Английский
The impacts of artificial intelligence (AI) driven hiring processes on job applicants’ experience: a comparative study between New Zealand and India
SN Business & Economics,
Год журнала:
2025,
Номер
5(3)
Опубликована: Фев. 11, 2025
Язык: Английский
Skill Development Challenges in the Era of Artificial Intelligence (AI)
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 189 - 218
Опубликована: Окт. 31, 2024
Artificial
Intelligence
(AI)
is
taking
us
by
storm,
and
Human
Resources
functions
are
no
exception.
Future
of
work
for
nearly
40%
the
companies
in
algorithms
(AI).
Al
most
powerful
acronym
that
pulls
every
human
resource
professional
into
challenge.
Almost
33%
employees'
jobs,
roles,
tasks
to
be
augmented
AI
near
future
prediction
Deloitte.
This
paper
analyses
Skill
development
challenges
developing
countries
like
India
handle
related
training
conducting
meta
Analysis
presents
suggestive
measures
counter
these
challenges.
The
aim
comprehend
issues
surrounding
vocational
education
putting
Learner
first.
It
suggests
implementation
planned
activities
with
augmentation
initiatives
reskill,
right
skill
align
those
skills
emerging
jobs.
Язык: Английский
Transformative AI in human resource management: enhancing workforce planning with topic modeling
Cogent Business & Management,
Год журнала:
2024,
Номер
11(1)
Опубликована: Ноя. 26, 2024
This
study
explores
the
transformative
role
of
artificial
intelligence
(AI)
in
human
resource
management
(HRM),
focusing
on
key
functions
such
as
recruitment,
retention,
and
performance
management.
A
comprehensive
review
was
carried
out
PRISMA
framework
BERTopic
model
AI
HRM‑related
keywords.
The
resulting
publications
were
analyzed
to
extract
meaningful
topics.
AI‑driven
tools
streamline
candidate
screening
interview
analysis,
significantly
enhancing
hiring
efficiency
decision‑making
accuracy.
Concerns
about
algorithmic
bias
highlight
need
for
robust
governance
frameworks
ensure
transparency
fairness
processes.
emphasizes
importance
aligning
adoption
with
Organizational
Development
principles
foster
inclusivity
organizational
justice.
integration
facilitates
real‑time,
objective
assessments,
although
overreliance
technologies
can
affect
employee
trust
engagement.
Despite
these
advances,
highlights
ethical
concerns
surrounding
data
privacy
potential
bias.
Addressing
challenges
requires
implementation
promote
AI‑HRM
applications.
Strategically,
transforms
HR
from
a
reactive
function
proactive,
data‑driven
partner
aligned
long‑term
goals.
Successful
depends
mechanisms
that
uphold
standards,
trust,
transparency,
enabling
organizations
fully
leverage
AI's
workforce
Язык: Английский
Veränderungen der Personalentwicklung durch den Einsatz von KI-Systemen
Marina Klostermann,
Britta Kirchhoff
Springer eBooks,
Год журнала:
2024,
Номер
unknown, С. 395 - 415
Опубликована: Ноя. 12, 2024
Effect of HRM exogenous influences on job satisfaction: AI triggered downsizing, following Covid-19 hybrid work culture, & profession difficulties
Journal of Infrastructure Policy and Development,
Год журнала:
2024,
Номер
8(15), С. 9675 - 9675
Опубликована: Дек. 13, 2024
This
study
employed
a
deductive
approach
to
examine
external
HRM
factors
influencing
job
satisfaction
in
the
post-pandemic
hybrid
work
environment.
Explores
intermediary
functions
of
age,
gender,
and
experience
this
particular
The
data-gathering
procedure
consisted
conducting
semi-structured
interviews
with
carefully
chosen
50
managers
representing
various
sectors,
industries,
organizations,
professions.
applied
was
adopted
allow
systematic
unbiased
investigation
mediating
variables.
used
SPSS
25
Smart
PLS
4
analyze
model,
enhancing
understanding
challenges
constantly
evolving
workplace.
findings
offer
valuable
insights
for
HR
experts
businesses,
highlighting
value
comprehending
what
methods
components
influence
optimize
employee
well-being
productivity.
provides
recommendations
designed
contentment
AI-evolving
professional
atmosphere,
shedding
light
on
importance
supportive
leadership
strategies,
particularly
during
AI-triggered
downsizing.
Additionally,
we
welcome
new
era
push
forward
integrating
managing
AI
tools
technologies
automate
decision-making
data
processing.
Results
propose
that
Exogenous
influences
human
resource
management
(HRM)
manager
considerably.
Specifically,
downsizing
caused
by
found
have
negative
consequences,
whereas
diversity
restructuring
favorable
effects.
Gender
recognized
as
crucial
factor
outcomes,
then
age
years
most
visible
effect.
Язык: Английский