Digitalization practices, data analytics, and artificial intelligence among public hospitals: Basis for smarter hospital management system framework
Fang Li
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International Journal of Research Studies in Management,
Journal Year:
2025,
Volume and Issue:
13(2)
Published: March 20, 2025
Language: Английский
The exploitation of data to support decision-making in healthcare: a systematic literature review and future research directions
Management Review Quarterly,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 3, 2025
Language: Английский
Explaining the Adoption of Chatbots: The Experience of Malaysian Government Agencies
International Journal of Public Administration,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: Oct. 10, 2024
This
research
aims
to
investigate
the
elements
motivating
Malaysian
Government
Agencies
(MGA)
adopt
chatbots.
Using
a
snowball
sampling
technique,
sum
of
262
valid
questionnaires
were
gathered.
Most
direct
effect
toward
intention
supported.
The
mediation
analysis
revealed
positive
mediating
role
OR
in
relationship
between
BDA,
OLC
and
GP
with
Support
moderated
study
highlighted
how
TOE
Framework
can
effectively
pinpoint
factors
that
impact
chatbots
within
MGA.
Language: Английский
Trends of Social Anxiety in University Students of Pakistan Post-COVID-19 Lockdown: A Healthcare Analytics Perspective
Ikram E. Khuda,
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Azeem Aftab,
No information about this author
Sajid Hasan
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et al.
Information,
Journal Year:
2024,
Volume and Issue:
15(7), P. 373 - 373
Published: June 28, 2024
This
paper
disseminates
our
research
findings
that
we
conducted
on
university
students
in
the
years
2021,
2022,
and
2023,
with
year
2021
taken
as
base
year.
Our
mined
excavated
a
concealed
prevalence
of
social
anxiety
an
important
crucial
facet
study
Pakistan.
Using
Liebowitz
Social
Anxiety
Scale
(LSAS),
found
significant
increase
level
among
past
three
after
COVID-19
lockdown.
data
showed
‘very
severe
anxiety’
soared
up
to
52.94%
2023
from
just
5.98%
showing
net
47.06%.
Statistical
analyses
demonstrate
noteworthy
differences
overall
levels
students,
reaching
significance
at
5%
discernable
upward
trend
anxiety.
We
also
employed
predictive
analytics,
including
binary
classifiers
generalized
linear
models
95%
confidence
interval,
identify
individuals
risk.
highlights
dynamic
shift
escalating
thus
emphasizing
its
awareness,
which
is
significantly
for
timely
intervention,
potentially
preventing
symptom
escalation
improving
outcomes.
Language: Английский
Measuring the global scientific literature on big data analytics in the LIS: the blending approach of altmetrics and bibliometrics
Javaid Ahmad Wani,
No information about this author
Ikhlaq ur Rehman,
No information about this author
Shabir Ahmad Ganaie
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et al.
Information Discovery and Delivery,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 30, 2024
Purpose
This
study
aims
to
measure
scientific
literature
on
the
emerging
research
area
of
“big
data”
in
field
“library
and
information
science”
(LIS).
Design/methodology/approach
used
“bibliometric
method”
for
data
curation.
Web
Science
altmetric.com
were
used.
Data
analysis
visualisation
done
using
three
widely
powerful
analytics
software,
R-bibliometrix,
VOSviewer
Statistical
Package
Social
Sciences.
Findings
revealed
most
preferred
venues
publication.
Furthermore,
this
highlighted
an
association
between
Mendeley
readers
publications
citations.
it
was
evident
that
overall
altimetric
attention
score
(AAS)
does
not
influence
citation
publications.
Other
fascinating
findings
moderate
collaboration
patterns
overall.
big
(BD)
output
LIS
sector
are
continually
increasing.
Practical
implications
related
BD
techniques
can
serve
as
helpful
researchers,
practitioners
policymakers.
Originality/value
contributes
current
knowledge
accumulation
by
its
unique
manner
blending
two
approaches,
bibliometrics
altmetrics.
Language: Английский
Exploring the effects of big data analytics capability on service innovation performance of manufacturing enterprises
Nian Liu,
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Zhaoquan Jian,
No information about this author
Yanxia Tan
No information about this author
et al.
Technology Analysis and Strategic Management,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Dec. 18, 2024
Manufacturing
enterprises
are
actively
using
big
data
analytics
to
pursue
service
innovation
opportunities
for
sustainable
development.
However,
the
mechanisms
underlying
this
influence
require
further
discussion.
Based
on
dynamic
capability
theory,
study
aims
investigate
how
affects
performance
of
manufacturing
by
exploring
mediating
effect
resource
bricolage
and
moderating
roles
various
learning
orientation
factors
(learning
commitment,
open-mindedness
shared
vision).
The
hypotheses
were
tested
questionnaire
from
245
in
China.
results
show
that
enables
manufacturers
improve
their
both
directly
via
bricolage.
In
addition,
boosts
performance,
while
commitment
vision
do
not.
Our
enriches
servitization
literature,
offers
practical
guidance
Chinese
want
engage
digital
era.
Language: Английский