Personnel Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 20, 2024
Purpose
Drawing
on
the
integrative
perspective
of
technology
acceptance
model
(TAM)
and
theory
planned
behaviour
(TPB)
extending
it
further
by
examining
role
organisational
facilitators
perceived
HR
effectiveness
in
this
perspective,
we
examine
professionals’
AI-augmented
HRM
(HRM
(AI)
)
research.
Design/methodology/approach
The
data
(N=375)
were
collected
from
professionals
working
different
organisations
India.
Structural
equation
modelling
(SEM)
was
employed
to
analyse
data.
Findings
results
study
suggest
that
along
with
facilitator
antecedents
relevant
components
both
TAM
TPB,
also
enhanced
levels
professionals.
Practical
implications
research
findings
are
expected
contribute
understanding
factors
influence
organizations.
may
help
identify
can
enhance
adoption
implementation
Finally,
provides
a
composite
TAM-TPB
theoretical
framework
guide
future
HRM.
Originality/value
To
best
our
knowledge,
is
one
first
attempts
factor
effect
contextual
(i.e.
effectiveness)
TPB
equations.
Journal of Family Business Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
Purpose
To
describe
how
decision-making
in
the
selection
processes
of
managerial
successors
business
families
is
influenced
by
use
cutting-edge
technologies
such
as
AI.
Design/methodology/approach
Systematic
literature
review
65
articles
indexed
Scopus
and
main
specialized
journals
on
family
businesses.
Findings
The
integration
AI
algorithms,
specifically
procedures,
raises
major
questions
faces
legal
ethical
issues
that
affect
employee
performance,
moral
commitment
fairness
processes.
These
aspects
are
important
to
ensure
transparency,
accountability
they
provide
insight
into
practices
succession
challenges
possibility
using
signaling
games
addressing
gender
biases
information
asymmetries
have
been
reported
past
research
could
be
complemented
these
actions.
Research
limitations/implications
limitations
this
mainly
attributed
exclusive
a
single
database
(Scopus),
which
limit
access
relevant
literature;
Furthermore,
exclusion
certain
articles,
despite
focusing
prestigious
families,
may
overlooked
contributions;
20-year
scope
ended
February
August
2024
omits
subsequent
publications
enriched
findings
study.
Originality/value
best
author’s
knowledge,
study
first
its
kind
conduct
bibliometric
analysis
covering
line
successor
process
leveraged
new
AI,
an
aspect
has
little
addressed
literature.
In
addition,
work
traces
selection.
great
value
since
it
allows
illustrate
consistent
way
relationship
between
executive
affected
different
identify
gaps
make
strategic
decisions
regarding
management
successions
BFs.
provides
framework
for
future
area.
Organizations
with
effective
recruiting
strategies
are
able
to
hire
the
right
individuals
control
digital
world
and
develop
business
environment.
Therefore,
an
organization's
recruitment
strategy
is
most
important
factor
in
qualified
employees
who
will
be
efficient
accomplishing
their
job
goals.
Recruitment
seems
use
data
analysis
its
decision-making
process
as
it
a
key
function
of
organization.
Data
known
"Artificial
Intelligence"
plays
role
hiring
decisions.
In
basic
form,
artificial
intelligence
created
by
intelligent
machines
humans.
AI
acts
reacts
like
The
ultimate
goal
make
easier
for
computers
do
tasks
that
humans
normally
do.
takes
lead
unbelievable
speed
accuracy.
main
purpose
this
paper
investigate
how
influences
strategies.
study
also
sheds
light
on
companies
using
recruitment.
This
research
based
entirely
secondary
sources
information,
such
articles
concept,
various
books,
journal
papers,
websites
were
used
delve
deeper
into
idea.
International Journal of Information Management Data Insights,
Journal Year:
2024,
Volume and Issue:
4(2), P. 100275 - 100275
Published: Aug. 30, 2024
The
new
normal
has
transformed
IT
company
employees'
working
styles
and
patterns
to
accommodate
changing
business
demands.
It
brings
back
the
attention
required
for
self-health,
pandemic
demonstrated
importance
of
Health.
prominence
Gamification
its
adaptation
is
growing
in
education
learning
industries.
This
research
paper
aims
study,
analyze,
understand
users'
intention
use
gamified
health
monitoring
tools
or
applications
with
emerging
disruptions
post-pandemic
era.
study
gathered
data
from
Indian
users
as
primary
source,
where
participants'
backgrounds
were
Information
Technology
(IT)
companies,
survey
185
responses
online
Gen
Z
women.
shows
a
significant
association
between
engagement
approach
user
engage.
Considering
ongoing
uncertainty
work-from-home
hours
employees,
disruption
may
persist
while
creating
need
engagement.
Personnel Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 20, 2024
Purpose
Drawing
on
the
integrative
perspective
of
technology
acceptance
model
(TAM)
and
theory
planned
behaviour
(TPB)
extending
it
further
by
examining
role
organisational
facilitators
perceived
HR
effectiveness
in
this
perspective,
we
examine
professionals’
AI-augmented
HRM
(HRM
(AI)
)
research.
Design/methodology/approach
The
data
(N=375)
were
collected
from
professionals
working
different
organisations
India.
Structural
equation
modelling
(SEM)
was
employed
to
analyse
data.
Findings
results
study
suggest
that
along
with
facilitator
antecedents
relevant
components
both
TAM
TPB,
also
enhanced
levels
professionals.
Practical
implications
research
findings
are
expected
contribute
understanding
factors
influence
organizations.
may
help
identify
can
enhance
adoption
implementation
Finally,
provides
a
composite
TAM-TPB
theoretical
framework
guide
future
HRM.
Originality/value
To
best
our
knowledge,
is
one
first
attempts
factor
effect
contextual
(i.e.
effectiveness)
TPB
equations.
