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 Business Research,
Год журнала:
2023,
Номер
161, С. 113828 - 113828
Опубликована: Март 16, 2023
In
this
research,
we
present
a
model
of
innovative
healthcare
solutions
as
an
interactive
outcome
high-involvement
work
systems
and
technologically-mediated
relational
coordination.
Adopting
the
grounded
theory
approach
conducting
in-depth
interviews,
investigate
these
dimensions
using
data
from
four
case
studies
in
context
technology
adoption
industry
emerging
markets.
First,
show
how
coordination
via
disruptive
technologies,
like
online
analytics,
digitalization,
artificial
intelligence
data-driven
decision-making,
promotes
quality
interactions
contexts
vis-à-vis
face-to-face
social
exchanges.
Further,
improves
employee
trust,
improving
individual
performance
functional
effectiveness
outcomes.
Finally,
affects
speed
richness
shared
among
employees.
This
phenomenon
enables
employees
to
take
optimal
decisions
learn
improve
iteratively.
Journal of Organizational Change Management,
Год журнала:
2023,
Номер
36(7), С. 1222 - 1241
Опубликована: Ноя. 23, 2023
Purpose
AI
is
an
emerging
tool
in
HRM
practices
that
has
drawn
increasing
attention
from
researchers
and
practitioners.
While
there
little
doubt
AI-enabled
exerts
positive
effects,
it
also
triggers
negative
influences.
Gaining
a
better
understanding
of
the
dark
side
holds
great
significance
for
managerial
implementation
enriching
related
theoretical
research.
Design/methodology/approach
In
this
study,
authors
conducted
systematic
review
published
literature
field
HRM.
The
enabled
to
critically
analyze,
synthesize
profile
existing
research
on
covered
topics
using
transparent
easily
reproducible
procedures.
Findings
used
algorithmic
features
(comprehensiveness,
instantaneity
opacity)
as
main
focus
elaborate
effects
Drawing
inconsistent
literature,
distinguished
between
two
concepts
comprehensiveness:
comprehensive
analysis
data
collection.
differentiated
into
instantaneous
intervention
interaction.
Opacity
was
delineated:
hard-to-understand
hard-to-observe.
For
each
feature,
study
connected
organizational
behavior
theory
elaborated
potential
mechanism
HRM's
employees.
Originality/value
Building
upon
identified
secondary
dimensions
features,
behind
This
elaboration
establishes
robust
foundation
advancing
AI-enable
Furthermore,
discuss
future
directions.
Human Resource Development International,
Год журнала:
2024,
Номер
27(3), С. 428 - 451
Опубликована: Май 6, 2024
As
a
result
of
the
rapid
development
technologies,
artificial
intelligence
(AI)
is
changing
human
experiences
and
workplaces
in
ways
that
we
are
not
prepared
for.
Recognized
as
double-edged
tool,
AI
has
brought
both
positive
negative
outcomes
to
organisations
employees.
With
its
increasing
popularity
workplace
our
daily
practice,
how
use
intelligently
responsibly
become
top
concern
raised
by
academics
practitioners.
In
this
article,
discuss
desired
unintended
consequences
documented
current
literature,
examine
ethical
concerns,
identify
solutions.
We
propose
'keeping
HRD
loop'
means
addressing
challenges
associated
with
offer
new
conceptual
framework
tool
for
reference.
Integrating
general
principles
guidelines
developed
Academy
HRD,
map
out
an
boundary
consisting
nine
human-centred
suggest
sample
six
interventions
can
facilitate
responsible
practices
productive
human-machine
interfaces.
By
bringing
perspectives
into
domain
hope
bring
considerations
forefront
decision-making
stimulate
more
interest
interdisciplinary
research
academic-industry
collaboration.
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.
