The International Journal of Human Resource Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 39
Опубликована: Дек. 27, 2024
The
integration
of
artificial
intelligence
(AI)
into
human
resource
management
(HRM)
represents
a
rapidly
evolving
area
practice
and
research.
This
review
aims
to
identify
nascent
AI
research
trends
within
HRM
capture
the
value
potential
technology.
We
outline
developmental
trajectory
in
discuss
implications
theories
on
organizations.
Based
co-word
network
analysis,
study
identifies
four
pathways
published
articles
related
HRM:
AI-enhanced
collaboration,
AI-driven
workplace,
AI-enabled
business
models,
AI-powered
innovation.
Finally,
we
highlight
promising
avenues
for
future
across
intersecting
domains
advance
understanding
this
era.
Technology in Society,
Год журнала:
2024,
Номер
78, С. 102662 - 102662
Опубликована: Июль 17, 2024
This
paper
explores
the
effects
of
integrating
Generative
Artificial
Intelligence
(GAI)
into
decision-making
processes
within
organizations,
employing
a
quasi-experimental
pretest-posttest
design.
The
study
examines
synergistic
interaction
between
Human
(HI)
and
GAI
across
four
group
scenarios
three
global
organizations
renowned
for
their
cutting-edge
operational
techniques.
research
progresses
through
several
phases:
identifying
problems,
collecting
baseline
data
on
decision-making,
implementing
AI
interventions,
evaluating
outcomes
post-intervention
to
identify
shifts
in
performance.
results
demonstrate
that
effectively
reduces
human
cognitive
burdens
mitigates
heuristic
biases
by
offering
data-driven
support
predictive
analytics,
grounded
System
2
reasoning.
is
particularly
valuable
complex
situations
characterized
unfamiliarity
information
overload,
where
intuitive,
1
thinking
less
effective.
However,
also
uncovers
challenges
related
integration,
such
as
potential
over-reliance
technology,
intrinsic
'out-of-the-box'
without
contextual
creativity.
To
address
these
issues,
this
proposes
an
innovative
strategic
framework
HI-GAI
collaboration
emphasizes
transparency,
accountability,
inclusiveness.
British Journal of Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
Abstract
While
artificial
intelligence
(AI)
requires
business
model
innovation,
it
simultaneously
poses
persistent
operational,
regulatory
and
strategic
challenges,
highlighting
the
importance
of
researching
AI
adaptation
to
appropriate
organizational
value.
is
not
monolithic,
its
nature
consequent
value
appropriation
processes
may
vary
due
external
factors
an
organization's
approach
innovation
resource
management.
Accordingly,
a
taxonomy
link
with
can
yield
theoretical
understanding
practical
implications
why
how
organizations
in
leveraging
human
management
shape
led
by
adaptation.
In
this
paper,
we
address
issue
applying
adaptive
structuration
theory
conducting
interviews
top
personnel
from
51
companies
based
India.
Based
on
our
findings,
develop
novel
(exploitive,
exploratory,
emancipatory
expedient),
structured
within
2
×
matrix
robust
dynamic
environment.
Journal of Business Logistics,
Год журнала:
2025,
Номер
46(1)
Опубликована: Янв. 1, 2025
ABSTRACT
The
Journal
of
Business
Logistics
has
been
the
top
location
for
publishing
logistics
and
supply
chain‐related
technological
research
over
forty
years.
With
digital
transformation,
reshoring
manufacturing,
labor
shortages,
decreasing
birth
rates,
aging
workforces,
companies
are
increasingly
adopting
artificial
intelligence‐supported
robotics
to
increase
ability
chains
react
quickly
effectively
changes
in
customer
demand,
market
conditions,
or
disruptions.
This
paper
analyzes
use
hardware
robots
across
fulfillment
process.
study
addresses
evolution
robotic
training
from
explicit
programming
machine
learning
continues
with
a
detailed
discussion
generative
learning.
We
then
provide
an
overview
key
driven
by
models
that
used
examines
challenges
robot
adoption
presents
organizations
concludes
directions
further
using
Theory
Resource
Orchestration.
Journal of Intellectual Capital,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 25, 2025
Purpose
The
rapid
evolution
of
artificial
intelligence
(AI)
is
revolutionizing
organizational
operations
and
altering
competitive
landscapes.
This
study
examines
the
influence
resources
on
AI
adoption
in
recruitment,
focusing
their
role
achieving
advantage
through
effective
implementation.
Design/methodology/approach
research
utilizes
a
cross-sectional
quantitative
approach,
applying
partial
least
squares
structural
equation
modeling
(PLS-SEM)
to
data
from
290
human
resource
(HR)
professionals.
It
grounded
resource-based
view
(RBV)
dynamic
capability
framework
(DCF).
Findings
results
reveal
that
HR
competencies
open
innovation
significantly
capabilities,
which
are
essential
for
integration,
supported
by
financial
support
information
technology
(IT)
infrastructure.
These
capabilities
enable
adoption,
leading
advantage.
Research
limitations/implications
this
captures
current
landscape
providing
snapshot
present
scenario
rapidly
evolving
technological
environment.
Practical
implications
offers
professionals
managers
strategic
guidance
effectively
integrating
into
recruitment
processes.
By
enhancing
competencies,
fostering
collaboration
ensuring
sufficient
infrastructural
support,
organizations
can
navigate
challenges
secure
landscape.
Social
reduce
biases,
enhance
diversity
improve
fairness
standardized
assessments.
However,
as
technologies
evolve,
continuous
oversight
ensure
ethical
use
modify
systems
needed,
further
reducing
biases
addressing
societal
concerns
AI-driven
Originality/value
introduces
novel
underscores
importance
expertise
with
advanced
tools
successful
A
key
contribution
not
only
facilitate
integration
but
also
accuracy,
accountability
configure
most
suitable
collaborating
developers
meet
specific
needs
organization.
Advances in human resources management and organizational development book series,
Год журнала:
2025,
Номер
unknown, С. 157 - 188
Опубликована: Янв. 31, 2025
The
creation
of
generative
AI
is
transforming
human
aid
control
(HRM)
via
improving
employee
engagement
and
pleasure.
This
paper
explores
the
combination
AI-driven
tools
in
HRM,
highlighting
how
those
technology
personalize
worker
reviews,
automate
routine
obligations,
offer
actual-time
feedback.
end
result
an
extra
responsive
adaptive
place
job
that
fosters
higher
activity
satisfaction
stages.
However,
also
addresses
demanding
situations
related
to
integration,
such
as
making
sure
records
privateness
mitigating
ability
biases.
By
leveraging
successfully,
corporations
can
create
dynamic,
efficient,
worker-centric
HR
environment,
boosting
ordinary
organizational
performance
properly-being.
Personnel Review,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 31, 2025
Purpose
This
editorial
review
presents
a
bibliometric
account
of
the
convergence
fields
artificial
intelligence
(AI)
and
human
resource
management
(HRM)
an
overview
related
contributions
in
this
special
issue.
It
also
explores
expansive
area
where
research
on
AI
HRM
intersects,
domain
experiencing
rapid
growth
transformation,
faster
than
we
envisaged.
Design/methodology/approach
substantive
employs
range
analytical
tools
to
present
state
knowledge
topic
provides
Special
Issue.
Findings
A
thorough
examination
scholarly
publications
spanning
two
decades
illuminates
evolutionary
path
themes,
key
contributors,
seminal
works
emerging
trends
within
interdisciplinary
sphere.
Leveraging
co-word
analysis,
distill
essential
themes
insights
from
extensive
dataset
654
journal
curated
Web
Science
database.
Our
analysis
underscores
critical
domains,
highlighting
nuanced
interplay
between
AI.
Originality/value
By
integrating
findings
papers
Issue,
highlight
speculate
field
is
heading
scholars
have
crucial?
Opportunities
contribute
going
forward.
Journal of Management Studies,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 8, 2025
Abstract
Technological
developments
–
particularly
related
to
artificial
intelligence
(AI),
machine
learning,
and
digitalization
are
disrupting
the
workplace
in
unprecedented
ways,
professional
knowledge‐intensive
sectors.
Scholars'
views
on
implications
of
these
disruptions
range
from
optimism
pessimism
scepticism.
Disciplines
vary
how
extensively
they
have
considered
technological
developments.
With
much
prior
work
focusing
more
macro‐level
phenomena
effects,
role
institutions,
organizations
individuals
as
well
their
interrelatedness
remains
less
examined.
In
this
introductory
article
special
issue,
we
discuss
scope,
extent
new
domains
change
Future
Work
and,
especially,
AI.
We
also
reflect
consequences
changes
processes
mechanisms
through
which
will
manifest.
Then,
introduce
summarize
articles
included
issue
along
above
dimensions.
conclude
by
reflecting
overall
contribution
future
directions
for
examining
perspective
management
studies.
British Journal of Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 18, 2025
Abstract
The
role
of
human
resource
management
(HRM)
in
pro‐actively
driving
business
innovation
has
been
tenuous
at
best
the
past.
Most
innovations
have
happened
spite
of,
rather
than
because
HRM.
But
artificial
intelligence
revolution
through
which
we
are
currently
living
marks
an
alignment
between
technological
and
process
innovation,
likes
never
seen
before.
incorporation
new
technologies
into
practice
HRM
is
likely
to
lead
a
paradigm
‘people
management’,
broadly
construed.
We
explain
how
this
will
emerge
against
backdrop
three
papers
included
Special
Issue
on
organizational
forms,
model
