Journal of Manufacturing Technology Management,
Journal Year:
2024,
Volume and Issue:
35(7), P. 1329 - 1353
Published: June 27, 2024
Purpose
Recent
disruptions
have
sparked
concern
about
building
a
resilient
and
sustainable
manufacturing
supply
chain.
While
artificial
intelligence
(AI)
strengthens
resilience,
research
is
needed
to
understand
how
cloud
adoption
can
foster
integration,
collaboration,
adaptation
manufacturing.
Therefore,
this
study
aimed
unleash
the
power
of
AI
in
optimizing
resilience
performance
through
collaboration
adaptive
capabilities
at
firms.
Design/methodology/approach
This
followed
deductive
approach
employed
quantitative
method
with
survey
technique
collect
data
from
its
target
population.
The
used
stratified
random
sampling
sample
size
1,279
participants
working
diverse
industries
across
California,
Texas
New
York.
Findings
investigated
companies
make
their
chains
more
sustainable.
findings
revealed
that
integrating
enhance
adaptability,
leading
better
(hypotheses
H1-H7,
except
H5).
Additionally,
utilizing
helps
improve
further
strengthening
sustainability
(H8-H11).
Interestingly,
found
internal
integration
alone
does
not
significantly
impact
(H5).
suggests
external
factors
are
critical
fostering
within
chain
during
disruptions.
Originality/value
dives
into
complex
world
interconnected
(formative
constructs
higher
order)
influencing
chains.
Using
advanced
modeling
techniques,
it
highlights
powerful
cloud-based
integration.
Cloud-based
unlock
significant
improvements
for
manufacturers
decision-makers
by
enabling
information
processes
dynamic
capability
theory.
Journal of Manufacturing Technology Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 20, 2024
Purpose
This
study
explores
the
impact
of
digital
technologies
and
digitalization
management
on
performance
in
Lithuanian
manufacturing
firms,
aiming
to
unravel
dynamics
between
technology
adoption
managerial
capabilities
enhancing
performance.
Design/methodology/approach
Employing
partial
least
squares
structural
equation
modeling
(PLS-SEM),
research
analyzes
data
from
a
survey
506
focusing
their
strategies
outcomes.
Findings
The
findings
reveal
that
while
alone
do
not
directly
influence
performance,
significantly
mediates
this
relationship,
highlighting
pivotal
role
practices
maximizing
benefits
technologies.
Research
limitations/implications
acknowledges
limitations
its
scope,
primarily
which
may
affect
generalizability
other
sectors
or
geographical
contexts.
Practical
implications
offers
valuable
insights
for
practitioners
managers,
underscoring
importance
strategic
leveraging
enhanced
providing
roadmap
more
effective
transformation
practices.
Originality/value
elucidates
intricate
technologies,
revealing
mediating
management.
It
notably
demonstrates
contrary
expectations,
essential
function
harnessing
Industrial Management & Data Systems,
Journal Year:
2023,
Volume and Issue:
124(2), P. 820 - 858
Published: Dec. 12, 2023
Purpose
This
study
aims
to
investigate
the
factors
influencing
adoption
of
data
analytics
in
performance
management.
By
examining
role
organizational
and
environmental
contexts,
this
contributes
existing
literature
by
proposing
a
novel
detailed
technology-organization-environment
(TOE)
model
for
complex
interplay
between
firm
characteristics
analytics.
The
results
offer
valuable
insights
practical
implications
organizations
seeking
leverage
effective
Design/methodology/approach
research
draws
upon
set
encompassing
over
21,869
companies
operating
across
all
European
Union
member
states.
A
multilevel
logistic
regression
was
developed
evaluate
influence
on
likelihood
adopting
organizations.
Findings
findings
indicate
that
lack
awareness
benefits
its
application
address
specific
business
challenges
is
significant
barrier
adoption.
Organizational
such
as
variable-pay
systems,
employee
training,
hierarchical
structures
frequency
monetary
rewards,
also
Research
limitations/implications
informs
managers
about
strategic
capabilities
management
improved
intelligence
driving
culture.
Practical
helps
understand
management,
leading
fostering
data-driven
culture
five
key
areas:
structural
alignment,
decision-making,
resource
allocation,
improvement
change
Originality/value
advances
TOE
theory,
making
it
more
complete
framework,
particularly
applicable
It
identifies
main
play
crucial
process.
Benchmarking An International Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 9, 2024
Purpose
The
present
study
investigated
organizational
resilience
(OR)
in
the
United
Arab
Emirates
(UAE’s)
energy
sector
to
identify
impactful
technological
and
human
variables
assess
hermeneutic
effect
of
digital
transformation
on
value
co-creation
OR.
also
investigates
mediating
role
a
few
covariates
Design/methodology/approach
questionnaire
was
sent
out
311
professionals
sector,
all
affiliated
with
governmental
organizations,
using
quota
sampling.
A
total
206
collated
responses
corresponding
tested
regarding
influences
transformation,
employee
resilience,
innovation
readiness,
cyber
OR
were
analyzed
structural
equation
modeling.
Accordingly,
model
eight
constructs
their
27
indicators
tested.
Findings
Instituting
flexibility
adaptability
advancements,
as
well
found
enhance
transformation.
sense
self-efficacy
who
participated
led
them
develop
readiness
thus
embrace
creativity
encourage
while
maintaining
collaborative
efforts
customers
stakeholders.
This
mediated
several
variables,
such
importance
managers'
understanding
customer
needs,
preferences
pain
points,
which
involves
actively
seeking
valuing
feedback
inform
decision-making.
Practical
implications
When
iterative
prototyping,
continuous
learning,
are
integrated
into
an
organization’s
culture,
they
create
robust
foundation
for
customer-centric
mindset.
mindset
becomes
ingrained
how
employees
approach
work
make
purposeful
decisions.
Originality/value
drew
empirical
insights
UAE’s
from
resource-based
theory
perspective.
By
identifying
potential
vulnerabilities
implementing
appropriate
mitigation
measures,
organizations
can
reduce
likelihood
impact
disruptions,
ultimately
help
maintain
satisfaction
loyalty.
Journal of Manufacturing Technology Management,
Journal Year:
2023,
Volume and Issue:
34(9), P. 139 - 162
Published: Aug. 8, 2023
Purpose
The
purpose
of
this
paper
is
to
investigate
and
quantify
the
impact
product
complexity,
including
architectural
on
operator
learning,
productivity
quality
performance
in
both
assembly
disassembly
operations.
This
topic
has
not
been
extensively
investigated
previous
research.
Design/methodology/approach
An
extensive
experimental
campaign
involving
84
operators
was
conducted
repeatedly
assemble
disassemble
six
different
products
varying
complexity
construct
learning
curves.
Data
from
experiment
were
analysed
using
statistical
methods.
Findings
human
factor
increases
superlinearly
with
increasing
products,
i.e.
centralised
distributed
architectures,
disassembly,
regardless
level
overall
complexity.
On
other
hand,
decreases
as
increases.
intrinsic
characteristics
architecture
are
reasons
for
difference
factor.
Practical
implications
results
study
suggest
that
considering
particularly
design
planning
manufacturing
processes
can
optimise
performance,
inform
decisions
about
improving
Originality/value
While
research
focussed
effects
process
time
defect
generation,
amongst
first
an
campaign.
