Journal of Managerial Psychology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
Purpose
Drawing
on
the
approach-avoidance
framework,
this
paper
examines
effects
of
artificial
intelligence
(AI)
usage
employee
proactive
behavior
and
deviant
by
focusing
mediating
role
AI-related
approach
motivation
avoidance
motivation.
Design/methodology/approach
Time-lagged
data
were
collected
using
a
field
survey
research
design.
The
participants
included
587
employees
from
over
dozen
Internet
companies,
technology
firms,
intelligent
medical
smart
city
companies
in
Beijing
Hebei,
China.
Findings
AI
is
positively
related
to
both
In
addition,
mediates
positive
relationship
between
behavior,
behavior.
Originality/value
First,
double-edged
sword
effect
usage,
reconciling
contradictory
findings
previous
providing
more
comprehensive
balanced
perspective
for
understanding
impacts
employees.
Second,
identified
as
two
novel
outcomes
usage.
Third,
further
extends
application
framework
management
literature.
Journal of Vocational Behavior,
Год журнала:
2024,
Номер
151, С. 103989 - 103989
Опубликована: Март 30, 2024
Our
paper
advances
the
embryonic
interest
of
combining
theoretical
frameworks
sustainable
career
and
ecosystem
into
a
theory
by
introducing
Artificial
Intelligence
(AI)
as
new
actor,
spotlighting
need
for
liminality
relationship
between
an
individual
practitioner,
presenting
conceptual
model.
We
begin
providing
brief
overview
theories,
culminating
in
recently
proposed
definition
ecosystem.
Second,
using
this
our
point
departure,
we
consider
perspectives
understanding
through
(a)
AI
actor
with
potential
to
disrupt
transform
(future)
labor
market
(b)
making
case
practitioner
relationship.
Third,
various
dimensions
analyzing
offer
conclude
future
research
agenda.
Conceptual
Paper.
British Journal of Management,
Год журнала:
2024,
Номер
35(4), С. 1680 - 1691
Опубликована: Апрель 11, 2024
Abstract
As
businesses
and
society
navigate
the
potentials
of
generative
artificial
intelligence
(GAI),
integration
these
technologies
introduces
unique
challenges
opportunities
for
human
resources,
requiring
a
re‐evaluation
resource
management
(HRM)
frameworks.
The
existing
frameworks
may
often
fall
short
capturing
novel
attributes,
complexities
impacts
GAI
on
workforce
dynamics
organizational
operations.
This
paper
proposes
strategic
HRM
framework,
underpinned
by
theory
institutional
entrepreneurship
sustainable
organizations,
integrating
within
practices
to
boost
operational
efficiency,
foster
innovation
secure
competitive
advantage
through
responsible
development.
Central
this
framework
is
alignment
with
business
objectives,
seizing
opportunities,
assessment
orchestration,
re‐institutionalization,
realignment
embracing
culture
continuous
learning
adaptation.
approach
provides
detailed
roadmap
organizations
successfully
GAI‐enhanced
environment.
Additionally,
significantly
contributes
theoretical
discourse
bridging
gap
between
adoption,
proposed
accounting
GAI–human
capital
symbiosis,
setting
stage
future
research
empirically
test
its
applicability,
explore
implications
understand
broader
economic
societal
consequences
diverse
multi‐disciplinary
multi‐level
methodologies.
Tourism Review,
Год журнала:
2023,
Номер
79(1), С. 219 - 233
Опубликована: Ноя. 22, 2023
Purpose
Artificial
intelligence
(AI)
and
big
data
analysis
may
further
enhance
the
automated
smart
features
of
tourism
hospitality
services.
However,
it
also
poses
new
challenges
to
human
resource
management.
This
study
aims
explore
direct
indirect
effects
employees’
AI
perception
on
career
resilience
informal
learning
as
well
mediating
effect
resilience.
Design/methodology/approach
paper
proposed
a
theoretical
model
perception,
with
perceived
antecedent
variable,
mediate
variable
endogenous
variable.
Targeting
employees
working
AI,
total
472
valid
were
collected.
Data
analyzed
using
structural
equation
modeling
AMOS
software.
Findings
indicated
that
positively
contributes
learning.
Apart
from
learning,
mediates
relationship
between
Originality/value
Research
findings
provide
both
practical
implications
by
revealing
impact
development,
leaning
activities,
explaining
how
transforms
nature
work
development
shedding
lights
management
in
field.
Journal of Vocational Behavior,
Год журнала:
2024,
Номер
153, С. 104011 - 104011
Опубликована: Июнь 27, 2024
As
artificial
intelligence
(AI)
use
expands
within
organizations,
its
influence
is
increasingly
permeating
careers
and
vocational
domains.
However,
there
a
notable
lack
of
structured
insights
regarding
AI's
role
in
shaping
individual
career
paths
across
stages.
To
address
this
gap,
we
undertook
systematic
literature
review
104
empirical
articles,
aiming
to
synthesize
the
scholarship
on
AI
context
careers.
Drawing
upon
stage
theory,
examine
implications
careers,
identify
key
barriers
enablers
area,
reveal
how
utilization
impacts
individuals'
competencies.
In
doing
so,
illustrate
actively
shapes
trajectories
dissect
these
effects
both
various
stages
situate
broader
research.
Adopting
sustainable
lens,
conclude
by
outlining
future
research
agenda
that
advocates
for
design
adoption
systems
promote
equitable
Behavioral Sciences,
Год журнала:
2025,
Номер
15(2), С. 128 - 128
Опубликована: Янв. 25, 2025
To
address
the
challenges
posed
by
AI
technologies,
an
increasing
number
of
organizations
encourage
or
require
employees
to
integrate
into
their
work
processes.
Despite
extensive
research
that
has
explored
applications
in
workplace,
limited
attention
been
paid
role
awareness
shaping
employees’
cognition,
interaction
behaviors
with
AI,
and
subsequent
impacts.
Drawing
on
self-construal
theory,
this
study
investigates
how
influences
in-role
extra-role
performance.
A
multi-time-point
analysis
data
from
353
questionnaires
reveals
affects
perceived
overqualification,
which
subsequently
reflection
usage
dependence
usage,
ultimately
Furthermore,
employee–AI
collaboration
moderates
relationship
between
overqualification.
This
elucidates
mechanisms
boundary
conditions
through
impacts
performance,
offering
a
more
comprehensive
perspective
providing
practical
implications
for
promoting
its
positive
effects
while
mitigating
negative
consequences.
