The Effect of Human Resource Analytics on Organizational Performance: Insights from Ethiopia
Shimelis Adugna Tessema,
Shuai Yang,
Chiyin Chen
и другие.
Systems,
Год журнала:
2025,
Номер
13(2), С. 134 - 134
Опубликована: Фев. 18, 2025
Strategic
human
resource
management
plays
a
crucial
role
in
fostering
long-term
organizational
performance
through
data-driven
decision-making.
Human
Resource
Analytics
(HRA),
using
advanced
business
intelligence
and
integrated
reporting
tools,
provides
insights
that
optimize
decision-making
strategy
alignment.
Despite
its
potential,
the
impact
of
HRA
on
remains
insufficiently
explored.
This
study
addresses
this
gap
by
examining
effects
Ethiopian
organizations.
A
quantitative
research
design
was
employed,
utilizing
survey
method
to
collect
data
from
269
valid
responses
across
55
organizations
Addis
Ababa,
Ethiopia.
Structural
Equation
Modeling
(SEM)
via
SmartPLS
3.0
software
used
for
analysis.
The
findings
reveal
significantly
enhances
performance,
with
relationship
mediated
strategic
alignment
between
HR
goals.
Additionally,
firm
size
found
moderate
larger
firms
deriving
greater
benefits.
results
suggest
serves
as
powerful
driver
enhanced
potentially
reaping
even
benefits
implementation.
These
also
underscore
importance
leveraging
improved
particularly
context
organizations,
where
adoption
is
still
evolving.
offers
practical
implications
seeking
enhance
workforce
strategies.
Язык: Английский
The Relationship Between Talent Development Analytics and Performance of State Universities in Zimbabwe
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 369 - 394
Опубликована: Фев. 21, 2025
Talent
development
analytics
is
a
relatively
new
concept,
so
more
studies
have
been
needed
on
the
topic
The
few
existing
focused
various
contexts,
such
as
mining,
travel,
and
SMEs,
they
excluded
university
context.
However,
universities
drive
world
economy
by
contributing
through
research,
innovation,
industrialization.
objectives
of
this
study
will
be
to
determine
relationship
between
performance
four
dimensions
talent
analytics:
recruitment,
training,
reward,
management
analytics.
population
was
Women's
University
in
Africa
Zimbabwe
Open
staff
which
850.
A
sample
size
265
utilized
for
study.
five-point
Likert
scale
questionnaire
distributed
respondents
Google
Forms.
SPSS
version
30.0
used
data
analysis
because
tool
efficient
effective
quantitative
analysis.
emphasizes
use
attain
competitive
advantage.
Язык: Английский