Exploring Nurses’ Quit Intentions: A Structural Equation Modelling and Mediation Analysis Based on the JD-R and Social Exchange Theories
Healthcare,
Год журнала:
2025,
Номер
13(7), С. 692 - 692
Опубликована: Март 21, 2025
Understanding
how
work
environments
affect
nurses'
turnover
intentions
is
crucial
for
improving
retention
and
organizational
stability.
Research
on
factors
influencing
nursing
in
Italy
limited
despite
its
significant
impact
healthcare
sustainability
today.
This
study
aims
to
identify
the
individual,
interpersonal,
job-related
quit
among
nurses,
examining
mediating
role
of
job
satisfaction.
Guided
by
Job
Demands-Resources
(JD-R)
theory
Social
Exchange
Theory
(SET),
this
cross-sectional
applied
structural
equation
modelling
(SEM)
analyse
theoretical
relationships.
Researchers
collected
data
between
August
2022
December
2023
via
an
online
survey
sent
nurses
different
settings
across
Italy.
tested
a
hypothesised
mediation
model
using
SEM
analysis,
demonstrating
good
fit
indices.
A
total
1745
responded.
The
findings
reveal
that
high
demands-physical,
mental,
emotional
workloads-were
significantly
associated
with
increased
dissatisfaction
intentions.
Conversely,
resources,
including
decision-making
autonomy,
inspiring
leadership,
positive
leader-member
exchanges,
were
linked
greater
satisfaction
retention.
Contrary
expectations,
did
not
mediate
relationship
demands/resources
could
be
explained
strong
direct
effect
Additionally,
younger
more
likely
report
higher
Identifying
potential
quitters
at
early
stage
essential
organizations.
contributing
nurse
developing
effective
strategies.
emphasizes
need
organizations
prioritize
supportive
enhance
well-being,
Язык: Английский
Transformational leadership: emerging lines of research
Deleted Journal,
Год журнала:
2024,
Номер
3
Опубликована: Дек. 30, 2024
Introduction:
Keeping
a
team
united
involves
applying
incentives
to
keep
collaborators
linked
the
organization
and
following
an
effective
communication
process
influence
people
achieve
goals
positively.
This
work
aims
carry
out
bibliometric
analysis
of
transformational
leadership
know
emerging
lines
research.Methods:
The
study
is
mixed
type;
it
has
qualitative
quantitative
part.
part
review
publications
keywords
in
order
generate
clusters
related
current
research.
analyzing
trend
papers
by
year,
author,
author
affiliation,
country,
area.
Results:
author's
mapping
occurrence
formed
three
clusters.
first
cluster,
identified
with
red,
"Transformative
leadership."
second
green,
"Types
third
color
blue,
"Emotional
intelligence
leader."Conclusions:
opens
range
opportunities
for
developing
other
studies
invites
researchers
develop
new
projects
that
explore
Work
Engagement,
Green
Transformational
Leadership,
Job
Performance,
Psychological
Empowerment.
Язык: Английский