International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 26
Опубликована: Дек. 6, 2024
Augmented
reality
(AR)
is
gaining
popularity
in
tourism
by
improving
immersive
experiences.
Therefore,
understanding
the
factors
influencing
perceptions
and
barriers
critical.
This
study
examines
visitors'
attitudes
decision
making
hesitation.
The
innovation
process
a
conceptual
model
for
comprehending
user
decisions
analyzing
AR
features
visitor
characteristics.
early
majority
of
users
completed
401
online
questionnaires.
causal
relationships
were
investigated
using
PLS-SEM
IPMA.
results
discovered
that
visual
appeal
environmental
embedding
influenced
attitudes.
found
low
tourist
memorability
affected
resistance
dimensions
perception
show
novelty
enjoyment
significantly
influence
Additionally,
we
hesitation
to
reuse
AR,
revisit
engage
EWOM.
IPMA
indicate
attitude
effective
crucial
reducing
present
novel
framework
integrates
domains
policy,
people
technology.
Behavioral Sciences,
Год журнала:
2025,
Номер
15(2), С. 165 - 165
Опубликована: Фев. 2, 2025
Artificial
intelligence
(AI)
technologies
have
profoundly
influenced
both
professional
environments
and
personal
lives.
In
the
rapidly
developing
sector
of
AI
education,
fostering
essential
literacy
among
university
students
has
become
vital.
Nevertheless,
factors
that
determine
remain
insufficiently
defined.
This
research,
grounded
in
self-determination
theory
(SDT),
seeks
to
investigate
relationships
three
components:
fulfillment
students’
psychological
needs,
self-regulated
learning
strategies
(SRLSs),
literacy.
The
aim
is
enhance
human
capital
efficiency
prepare
tackle
future
workplace
challenges
effectively.
To
examine
these
connections,
a
cross-sectional
survey
was
administered
1056
students.
findings
reveal
satisfying
needs—perceived
autonomy,
competence,
relatedness—plays
pivotal
role
advancing
Additionally,
four
SRLSs—cognitive
engagement,
metacognitive
knowledge,
resource
management,
motivational
beliefs—acted
as
mediators
between
needs
Consequently,
this
study
not
only
enhances
our
understanding
behavioral
development
during
their
engagement
with
education
but
also
provides
theoretical
support
practical
guidance
for
International Journal of Contemporary Hospitality Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 14, 2025
Purpose
This
study
aims
to
explore
the
impacts
of
service
industry
employees’
AI
awareness
on
their
voice
behavior
while
also
considering
dual
mediating
roles
efficacy
and
job
insecurity,
as
well
moderating
role
trait
competitiveness.
Design/methodology/approach
The
sample
comprises
data
from
a
two-wave
longitudinal
survey
203
employees
in
sector.
examined
all
hypotheses
using
Mplus
8.0.
Findings
confirms
that
sector
has
significant
negative
effects
both
promotive
prohibitive
behaviors.
Voice
can
mediate
impact
voice.
Both
insecurity
Furthermore,
competitiveness
weaken
efficacy.
Practical
implications
Managers
should
first
investigate
then
adopt
targeted
managerial
strategies
promote
behavior.
Originality/value
contributes
literature
related
consequences
by
linking
employee
this
deepens
our
understanding
how
affects
proposing
(i.e.
pathway)
safety
key
mechanisms.
Moreover,
advances
when
influences
identifying
Behavioral Sciences,
Год журнала:
2025,
Номер
15(2), С. 206 - 206
Опубликована: Фев. 13, 2025
As
the
application
of
artificial
intelligence
(AI)
in
workplace
increases,
investigating
its
impact
on
work
engagement
is
crucial
for
optimizing
human
resource
management
and
enhancing
organizational
productivity
competitiveness.
Based
Conservation
Resources
theory,
this
study
investigated
whether
AI
usage
exhibits
a
double-edged
sword
effect
examined
moderating
role
core
task
characteristics
substitution
relationship.
A
two-wave
was
conducted
among
279
employees
from
China,
Hayes's
PROCESS
macro
used
to
test
moderated
mediation
model.
The
findings
indicated
that
(1)
enhances
by
increasing
psychological
availability
indirectly
increases
suppressing
alienation;
(2)
diminishes
inhibiting
(3)
overall,
tends
suppress
alienation,
demonstrating
an
empowering
effect.
However,
under
conditions
high
substitution,
can
increase
revealing
potential
negative
effects.
enrich
our
understanding
complex
offer
valuable
insights
managers
improve
employee
experiences
era.
Abstract
As
artificial
intelligence
(AI)
technologies
continue
to
reshape
modern
workplaces,
concerns
have
emerged
about
their
potential
negative
impact
on
employees’
performance
and
well-being,
referred
as
“AI
anxiety.”
Drawing
social
cognitive
theory,
this
study
examines
how
environmental
factors—in
particular,
norms
management
commitment—shape
responses
AI
anxiety
influence
creativity
at
work.
By
exploring
different
coping
triggered
by
anxieties,
research
highlights
the
complex
interplay
between
individuals’
perceptions,
organizational
context,
creative
outcomes.
The
findings
expand
current
understanding
of
illustrating
supportive
factors
can
encourage
more
adaptive
responses,
ultimately
enhancing
potential.
These
insights
not
only
contribute
academic
literature
but
also
provide
practical
guidance
for
organizations
aiming
build
resilient
innovative
workforces
capable
thriving
in
an
era
rapid
technological
advancement.
The Bottom Line Managing Library Finances,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 4, 2025
Purpose
Today,
the
widespread
use
of
robotic
technologies
in
service
sector
has
created
need
for
a
deeper
understanding
factors
affecting
human−robot
collaboration.
By
examining
such
as
robot
awareness,
change-oriented
leadership
and
employee
motivations
(approach
avoidance)
within
framework
protection
motivation
theory
(PMT),
this
study
aims
to
provide
insights
into
psychological
organizational
that
influence
employee−service
(E-SR)
This
also
sheds
light
on
how
collaboration
influences
employees’
intentions
robots
their
actual
usage
behavior,
ultimately
contributing
developing
more
effective
strategies
integrating
environments.
Design/methodology/approach
The
220
valid
questionnaires
collected
from
employees
were
analyzed
using
partial
least
squares
structural
equation
modeling.
Findings
found
approach
have
significant
positive
effects
E-SR
In
contrast,
avoidance
did
not
show
effect
addition,
was
shown
significantly
affect
robots,
which
turn
impacted
behavior.
Practical
implications
findings
offer
valuable
industrial
leaders
policymakers,
suggesting
enhancing
could
improve
sector.
fostering
environments
where
awareness
are
emphasized,
organizations
can
engagement
with
thereby
optimizing
automation.
Originality/value
contributes
literature
by
applying
PMT
understand
It
uniquely
explores
role
shaping
collaborative
interactions
provides
empirical
evidence
connection
between
collaboration,
behavior
adoption.
Personnel Review,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 7, 2024
Purpose
Human
Resource
Management
(HRM)
is
a
critical
organizational
function,
which
has
continued
to
evolve.
We
aim
explore
how
different
HRM
will
be
in
the
workplace
of
future
and
why,
from
both
strategic
practical
perspectives.
present
discuss
core
practices,
such
as
recruitment,
selection
training,
well
peripheral
activities,
monitoring
health
safety,
diversity
management,
reflecting
on
they
may
transform
future.
Design/methodology/approach
This
conceptual
thought
piece,
building
Substitution,
Augmentation,
Modification
Redefinition
(SAMR)
model,
offer
futuristic
view
era
AI.
Findings
Discussing
contemporary
challenges
Artificial
Intelligence,
we
predict
lead
what
term
Cyborging
HRM.
Practical
implications
study
can
help
HR
managers
practitioners
prepared
for
AI-embedded
systems
For
academics,
it
offers
an
innovative
framework
establish
writing
AI
era.
Originality/value
pushing
profession
have
undergo
revolutionary
rather
than
evolutionary
transformation
order
remain
necessary
valuable
function
organizations.
Our
elaboration
SAMR
model
suggested
should
worthwhile
organizations,
management
wider
society.
