In
an
era
of
rapid
technological
advancement,
digital
transformation
is
crucial
for
high-tech
firms
to
remain
competitive
and
drive
innovation.
Digital
(DT)
necessitates
incorporating
various
technologies
enhance
a
firm’s
capacity
collect,
integrate,
process,
utilize
business
data.
Therefore,
this
study
aimed
identify
the
factors
influencing
DT
adoption
technology
in
context
firm
performance
(FP)
with
moderating
role
literacy
(DL).
This
analyses
key
technologies,
focusing
on
their
impact
FP
firms,
DL
as
factor.
The
significance
lies
its
comprehensive
analysis
perceived
ease
use,
time-saving,
security
risk,
financial
well
roles
driving
DT.
hypothesis
was
investigated
using
partial
least
squares
structural
equation
modeling
(PLS-SEM)
approach.
data
collected
from
521
respondents
through
self-administered
survey
firms.
results
describe
that
risk
have
significant
positive
relationship
Moreover,
partially
mediates
between
time-saving
FP.
study’s
practical
implications
emphasize
need
address
user
perceptions
risks
associated
implement
achieve
improved
successfully.
F1000Research,
Год журнала:
2024,
Номер
13, С. 1140 - 1140
Опубликована: Окт. 7, 2024
Background
This
study
aims
to
empirically
test
a
comprehensive
interrelationship
between
green
supply
chain
management
(GSCM),
technology
innovation
(GTI),
waste
(WM),
big
data
analytics
capability
powered
by
artificial
intelligence
(BDAC-AI),
and
their
collective
impact
on
sustainable
performance
(SP)
in
organizational
contexts.
Methods
was
conducted
Pakistan’s
food
processing
sector.
The
respondents
included
495
managers
working
the
industry.
A
structural
equation
modelling
(SEM)
approach
is
used
examine
direct
indirect
relationships
variables.
originality
of
this
lies
integration
acceptance
model
(TAM)
dynamic
theory
(DCT)
understand
practices
context
provided
model.
Results
highlights
that
GSCM,
GTI,
WM,
BDAC-AI
have
positive,
strong,
impacts
SP.
Furthermore,
GTI
WM
only
partially
mediate
link
GSCM
SP,
whereas
two
moderate
link.
In
addition,
had
moderating
effect
relationship
has
managerial
implications,
including
strategies
involve
use
theoretical
frameworks
for
technological
capabilities
support
initiatives.
However,
it
worth
noting
findings
provide
practical
contingency
businesses
interested
implementing
studies
effectively,
improving
technologies,
strengthening
capabilities.
Conclusions
extends
literature
establishing
operationalizing
adds
value
first
integrates
TAM
DCT
explain
operations
organizations.
existing
SC.
It
offers
through
which
can
be
operationalized
FS
sector.
Advances in human resources management and organizational development book series,
Год журнала:
2024,
Номер
unknown, С. 447 - 472
Опубликована: Окт. 22, 2024
In
the
age
of
Industry
5.0
(I
5.0),
manufacturing
SMEs
face
critical
challenge
balancing
technological
advancement
with
environmental
sustainability.
This
study
explores
intricate
relationships
between
technologies—specifically
Big
Data
Analytics
and
Artificial
Intelligence
(BDA-AI),
Human-Robot
Collaboration
(HRC),
Internet
Things
(IoT),
sustainable
practices
in
SMEs.
Drawing
on
data
from
466
across
key
industrial
regions,
we
employ
structural
equation
modeling
to
uncover
transformative
roles
Eco-Innovation.
Our
findings
reveal
that
Eco-Innovation
(Eco-Inn)
acts
as
a
pivotal
mediator,
translating
capabilities
into
enhanced
performance
(EP).
breaks
new
ground
by
examining
ethical
implications
within
5.0,
offering
insights
its
long-term
sustainability
impact.
By
integrating
resource-based
view
theory,
this
research
presents
novel
framework
for
digital
era.
Purpose
In
today’s
business
landscape,
drawing
upon
the
critical
role
of
environmental
sustainability,
this
study
investigates
intricate
relationship
between
green
human
resource
management
practices
(GHRMP),
big
data
analytics
capability
(BDAC),
competitive
advantage
(GCA)
and
performance
(EP),
further
moderated
by
managerial
concern
(MEC).
Design/methodology/approach
This
employs
a
quantitative
approach
using
latest
version
SmartPLS
4
4.0.9.6
on
sample
467
participants
representing
diverse
range
manufacturing
SMEs.
Data
were
collected
from
managers
directors
structured
questionnaire
analyzed
structural
equation
modeling
(SEM).
contributes
to
existing
knowledge
integrating
GHRMP
BDAC
within
GCA
framework,
providing
comprehensive
understanding
how
these
enhance
SME`s
sustainability.
Findings
The
findings
provide
valuable
insights
into
sector,
aiming
SMEs'
advantage.
Implementing
fosters
awareness
workforce,
building
allows
for
effectively
translating
that
actionable
insights,
maximizing
potential
achieving
GCA.
Furthermore,
recognizing
MEC’s
moderating
strengthens
positive
outcomes
associated
with
confirm
are
resources
key
drivers
contributing
in
sustainability
enterprises.
Practical
implications
For
SMEs,
our
suggest
strategically
not
only
boosts
stewardship
but
also
improves
operational
efficiency
market
positioning.
research
outlines
steps
SMEs
achieve
targets
while
enhancing
profitability.
provides
strategic
decision-making
policy
formulation,
aiding
navigating
complexities
sustainable
development
effectively.
Originality/value
robust
theoretical
explanation
HRM
help
gain
competitiveness.
implication
reveals
implementing
advanced
more
likely
draws
support
resource-based
view
(RBV)
theory,
positing
firm’s
stems
its
unique
capabilities
difficult
competitors
imitate
or
substitute.
Businesses,
Год журнала:
2024,
Номер
4(4), С. 632 - 695
Опубликована: Ноя. 14, 2024
Big
Data
(BD)
has
emerged
as
a
pivotal
tool
for
small
and
medium-sized
enterprises
(SMEs),
offering
substantial
benefits
in
enhancing
business
performance
growth.
This
review
investigates
the
impact
of
BD
on
SMEs,
specifically
focusing
improvement,
economic
performance,
revenue
The
objective
this
systematic
is
to
evaluate
drivers
barriers
adoption
SMEs
assess
its
overall
operational
efficiency
outcomes.
A
comprehensive
93
research
papers
published
between
2014
2024
was
conducted
using
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
framework.
methodology
included
detailed
analysis
approaches,
addressing
biases
gaps
literature.
led
significant
improvements
efficiency,
generation,
competitiveness.
However,
studies
reveal
persistent
challenges,
such
limited
financial
resources
technical
expertise.
identified
reporting
bias,
with
47%
quantitative
methods,
28%
employing
case
studies,
mixed-method
qualitative
underrepresented
(22%
17%,
respectively).
imbalance
highlights
potential
overreliance
which
may
limit
depth
insights
gained.
While
offers
considerable
driving
innovation
competitiveness
current
methodological
resource-related
crucial
fully
harness
benefits.
Future
should
focus
diverse
approaches
provide
holistic
understanding
BD’s
SMEs.
In
an
era
of
rapid
technological
advancement,
digital
transformation
is
crucial
for
high-tech
firms
to
remain
competitive
and
drive
innovation.
Digital
(DT)
necessitates
incorporating
various
technologies
enhance
a
firm’s
capacity
collect,
integrate,
process,
utilize
business
data.
Therefore,
this
study
aimed
identify
the
factors
influencing
DT
adoption
technology
in
context
firm
performance
(FP)
with
moderating
role
literacy
(DL).
This
analyses
key
technologies,
focusing
on
their
impact
FP
firms,
DL
as
factor.
The
significance
lies
its
comprehensive
analysis
perceived
ease
use,
time-saving,
security
risk,
financial
well
roles
driving
DT.
hypothesis
was
investigated
using
partial
least
squares
structural
equation
modeling
(PLS-SEM)
approach.
data
collected
from
521
respondents
through
self-administered
survey
firms.
results
describe
that
risk
have
significant
positive
relationship
Moreover,
partially
mediates
between
time-saving
FP.
study’s
practical
implications
emphasize
need
address
user
perceptions
risks
associated
implement
achieve
improved
successfully.
