Journal of Work-Applied Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 20, 2025
Purpose
This
research
paper
explores
the
adoption
and
impact
of
Human
Resource
(HR)
Analytics
Artificial
Intelligence
(AI)
in
Information
Technology
(IT)
sector.
The
study
involves
interviews
with
HR
experts
IT
industry
to
understand
their
perceptions
experiences
these
technologies.
Design/methodology/approach
Data
were
collected
through
semi-structured
interviews,
which
fifteen
managers
interviewed.
Findings
findings
reveal
that
AI
significantly
functions,
capabilities,
decision-making
To
successfully
adopt
analytics
AI,
professionals
must
possess
technical
skills
such
as
data
analysis,
coding,
analytical
thinking,
design
domain
knowledge.
interviewees
also
highlighted
importance
connecting
initiatives
financial
outcomes,
creating
strategies,
contributing
processes,
aligning
activities
organizational
objectives.
Originality/value
incorporates
insights
on
challenges
adopting
along
strategies
overcome.
New Horizons in Adult Education and Human Resource Development,
Год журнала:
2024,
Номер
36(4), С. 248 - 262
Опубликована: Окт. 9, 2024
The
adoption
of
artificial
intelligence
(AI)
in
academia
is
an
emerging
field
interest.
However,
there
scant
literature
that
explores
the
phenomenon
AI
by
graduate
students
doctoral
education.
This
study
employs
collaborative
autoethnography
to
explore
and
better
understand
nuances
how
experience
technologies
within
academic
pursuits.
A
critical
analysis
data
revealed
collective
researcher-participant
experiences
offered
primary
overarching
theme
strategy,
with
four
distinct
subthemes:
fear,
resistance,
feasibility,
ethics.
findings
suggest
a
balanced
approach
depends
on
development
comprehensive
strategies
are
informed
deep
understanding
both
technological
capabilities
human
factors
involved.
We
urge
educators
involved
programs
think
critically
about
these
identified
themes.
For
students,
this
offers
valuable
insights
into
challenges
associated
integrating
formal
learning
environments,
potentially
enhancing
management
strategy
for
their
studies.
Educators
tasked
evaluating
coursework
may
develop
deeper
encounter
during
process.
Business Process Management Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 3, 2025
Purpose
The
purpose
of
the
paper
is
to
conduct
a
review
literature
on
human-robot
collaboration
across
different
functions
and
activities
human
resource
management
(HRM)
discuss
its
importance
for
change
readiness
in
organizations.
Design/methodology/approach
A
bibliometric
analysis
was
conducted
identify
emerging
research
themes
fields
resources
(HR)
robotics,
including
readiness.
Based
initial
results
analysis,
systematic
subsequently
performed
gain
more
specific
understanding
various
HRM
Findings
from
highlight
that
technological
progression
HRM,
such
as
AI-driven
staffing
training
techniques,
improves
effectiveness
personalization
but
raises
concerns
about
privacy
job
scrutiny.
AI
robotics
performance
evaluation
enhance
objectivity
reduce
subjectivity,
which
can
lead
disengagement.
Generational
differences,
cultural
factors
emotional
quotient
complicate
adopt
new
technologies.
emphasizes
balancing
with
employee
involvement
meaningfulness
ensure
successful
implementation
engagement.
Originality/value
This
synthesizes
existing
research,
literature,
theoretical
concepts
models,
best
practices
strategies
implementing
functions.
It
highlights
gaps
current
suggests
areas
future
advance
field
HRM.
By
doing
so,
this
enhances
while
offering
practical
insights
essential
effective
management.
Journal of Work-Applied Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 20, 2025
Purpose
This
research
paper
explores
the
adoption
and
impact
of
Human
Resource
(HR)
Analytics
Artificial
Intelligence
(AI)
in
Information
Technology
(IT)
sector.
The
study
involves
interviews
with
HR
experts
IT
industry
to
understand
their
perceptions
experiences
these
technologies.
Design/methodology/approach
Data
were
collected
through
semi-structured
interviews,
which
fifteen
managers
interviewed.
Findings
findings
reveal
that
AI
significantly
functions,
capabilities,
decision-making
To
successfully
adopt
analytics
AI,
professionals
must
possess
technical
skills
such
as
data
analysis,
coding,
analytical
thinking,
design
domain
knowledge.
interviewees
also
highlighted
importance
connecting
initiatives
financial
outcomes,
creating
strategies,
contributing
processes,
aligning
activities
organizational
objectives.
Originality/value
incorporates
insights
on
challenges
adopting
along
strategies
overcome.
