Unleashing the power of cloud adoption and artificial intelligence in optimizing resilience and sustainable manufacturing supply chain in the USA
Aamir Rashid,
No information about this author
Rizwana Rasheed,
No information about this author
Abdul Hafaz Ngah
No information about this author
et al.
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.
Language: Английский
Synergizing TQM, JIT, and Green Supply Chain Practices: Strategic Insights for Enhanced Environmental Performance
Aamir Rashid,
No information about this author
Rizwana Rasheed,
No information about this author
Noor Aina Amirah
No information about this author
et al.
Logistics,
Journal Year:
2025,
Volume and Issue:
9(1), P. 18 - 18
Published: Jan. 28, 2025
Background:
This
study
examined
the
role
of
total
quality
management,
just-in-time,
and
green
supply
chain
management
practices
to
improve
environmental
performance.
Methods:
Data
from
207
manufacturing
industry
respondents
a
developing
economy
were
tested
through
quantitative
method
using
PLS-SEM
with
help
SmartPLS
validate
measurement
model.
Results:
The
results
show
that
just-in-time
significantly
impacts
practices.
Similarly,
affects
However,
insignificantly
environment.
Likewise,
is
insignificant
negatively
Conclusion:
research
provides
practical
insight
practitioners
for
understanding
implementing
in
their
networks.
These
findings
support
strategic
use
promote
as
core
skill
are
also
helpful
practitioners,
policymakers,
industrialists.
enriches
literature
chain.
Language: Английский
Integrating environmental and entrepreneurship advocacy into enviropreneurship through green supply chain management, waste management, and green innovation: A study on SMEs of US
Rizwana Rasheed,
No information about this author
Aamir Rashid,
No information about this author
Noor Aina Amirah
No information about this author
et al.
Cleaner Engineering and Technology,
Journal Year:
2024,
Volume and Issue:
21, P. 100768 - 100768
Published: June 13, 2024
Many
entrepreneurs
across
the
US
are
key
players
in
building
a
greener
economy.
Their
agility
and
innovative
spirit
offer
source
of
potential
solutions.
This
is
especially
true
for
small
businesses,
which
can
quickly
adapt
to
sustainable
practices.
Therefore,
this
research
investigated
direct
indirect
(mediating)
roles
waste
management
green
innovations
supply
chain
enviropreneurship
performance,
transition
from
environmental
advocacy.
study
used
deductive
approach
with
quantitative
method.
A
survey
835
professionals
medium
enterprises
Structural
Equation
Modeling
technique
test
specific
hypotheses.
The
findings
unveiled
positive
significant
effect
exogenous
variables
on
endogenous
variables.
Besides
innovation,
mediation
was
found
between
relationships
entrepreneurship
performance.
highlights
strategies
boost
entrepreneurial
Green
practices
enhance
outcomes,
minimize
waste,
bolster
stakeholder
relationships,
lead
cost
savings,
improve
brand
reputation
regulatory
compliance.
identifies
areas
needing
improvement
supports
development.
Adhering
regulations
shows
commitment
sustainability
helps
avoid
legal
issues.
By
following
these
recommendations,
managers
foster
future
their
organizations.
presented
"enviropreneurship
performance"
as
factor
businesses
implementing
chains
It
proposes
an
model
that
connects
providing
important
insights
studies.
validated
concept
by
employing
Resource-based
View
testing
hypotheses
using
structural
equation
modeling,
enhanced
understanding
within
developed
Language: Английский
A nexus of multiple integrations and business performance through supply chain agility and supply flexibility: a dynamic capability view
Aamir Rashid,
No information about this author
Rizwana Rasheed,
No information about this author
Abdul Hafaz Ngah
No information about this author
et al.
Journal of Science and Technology Policy Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 20, 2024
Purpose
Manufacturing
capability
is
a
crucial
component
of
every
nation’s
economy
and
pharmaceuticals
are
frequently
significant
part
the
manufacturing
sector.
Pharmaceutical
supply
chains
essential
to
health-care
systems,
contributing
living
quality
shorter
hospital
stays.
This
study
aims
examine
role
multiple
integrations
on
business
performance
(BP)
through
chain
flexibility
(SCF)
agility
(SCA).
Design/methodology/approach
Data
was
collected
from
198
professionals
in
pharmaceutical
sector
developing
Pakistan.
The
sample
based
nonprobability
purposive
sampling
approach.
A
five-point
Likert-scale
survey
used
analyzed
with
PLS-SEM
technique
using
SmartPLS
4.
Findings
found
that
process
integration
(PI)
does
not
affect
SCA,
whereas
relationship
measurement
positively
SCA.
SCA
impacts
BP.
In
contrast,
all
significantly
influenced
BP
except
for
PI.
Finally,
SCF
mediates
between
Originality/value
examined
relationships
BP,
directly
indirectly,
agility.
theory
dynamic
capabilities
has
been
applied
extended
increase
comprehensiveness
findings.
economy’s
industry
examined,
producing
empirical
evidence
results.
Language: Английский
Perceived Nepotism and Job Satisfaction: A Moderated Mediated Model of Supervisory Trust, Procedural, and Distributive Injustice
Rizwana Rasheed,
No information about this author
Olivier Roques,
No information about this author
Aamir Rashid
No information about this author
et al.
International Journal of Public Administration,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: Feb. 18, 2025
This
research
provides
an
in-depth
look
at
perceived
nepotism
and
organization
through
a
quantitative
survey
that
collects
data
from
434
employees
public
organizations.
The
results
stated
negatively
affects
employee
satisfaction
levels.
In
addition,
the
moderating
effect
of
supervisory
trust
indicated
helps
to
mitigate
negative
impact
on
job
satisfaction.
index
moderated
mediations
procedural
injustice
was
found
insignificant,
whereas
distributive
significant.
study
contributed
social
exchange
theory.
Language: Английский
Impact of supplier trust and integrated technology on supply chain resilience for sustainable supply chain in FMCG sector
Aamir Rashid,
No information about this author
Rizwana Rasheed,
No information about this author
Samar Rahi
No information about this author
et al.
Journal of Science and Technology Policy Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Purpose
The
Fast
Moving
Consumer
Goods
(FMCG)
sector
is
a
critical
component
of
the
global
economy,
providing
consumers
with
wide
range
products
that
are
consumed
daily.
However,
this
faces
vulnerability
during
disruptions.
Therefore,
research
amid
to
examine
effect
supplier
trust
and
integrated
technology
on
supply
chain
resilience
(SCR)
for
sustainable
chains
in
FMCG
sector.
Design/methodology/approach
Data
was
collected
from
409
respondents
United
States.
hypotheses
were
tested
using
Structural
Equation
Modeling
through
SmartPLS.
study
findings
found
all
direct
mediating
supported.
Findings
suggest
better
use
enhance
capability
an
organization
respond
It
makes
more
resilient.
Further,
SCR
brings
Similarly,
significant
mediator
relationships
between
independent
dependent
variables,
highlighting
importance
resilient
chains.
Originality/value
This
contributes
literature
variables
Dynamic
Capability
View
theory,
as
technologies
crucial
factors
building
has
several
managerial
implications,
including
managers’
need
prioritize
suppliers
facilitate
increased
information
sharing.
They
should
invest
sense,
forecast
be
proactive
and,
eventually,
chain.
Language: Английский
Understanding the electric vehicle consumers’ AWE experience and intention to recommend electric vehicles with the moderating effect of trust in sustainable manufacturers
Asia-Pacific Journal of Business Administration,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 28, 2025
Purpose
Though
studies
have
examined
the
consumer
behavior
towards
adoption
of
electric
vehicles,
however,
there
is
lack
empirical
research
work
that
unveils
factors
which
enrich
vehicle
consumers’
AWE
experience
in
post-adoption
setting.
To
fill
this
gap,
current
study
has
developed
a
framework
with
cognitive
and
investigates
experience.
Moreover,
moderating
effect
trust
sustainable
manufacturers
between
consumer’s
intention
to
recommend
vehicles
others.
Design/methodology/approach
The
grounded
quantitative
approach.
Consistent
methods,
hypotheses
are
conceptualized
then
verified
through
data.
Empirical
data
collected
from
237
users
using
purposive
sampling
Data
estimated
structural
equation
modeling
Findings
demonstrated
jointly
anticipated
emotions,
face
consciousness,
eco-friendly
labels,
perceived
enjoyment,
relative
advantage
environment
benefit
explained
large
variance
Rˆ2
75.3%
measuring
Nevertheless,
benefits
advantages
shown
size
fˆ2
predicting
moderation
analysis
confirmed
positive
social
circle.
Practical
implications
present
investigated
unique
predictors,
hence
largely
contributes
literature.
Practically,
disclosed
benefits,
core
boost
promote
attitude
consumption.
Similarly,
recommended
enhance
This
indicates
pro-environment
market,
manufacturer’s
credibility
does
matter
products,
factor
needs
policy
maker’s
attention.
Originality/value
Prior
inspected
technology
either
initial
or
continuance
original
as
it
develops
rarely
studied
relation
vehicle.
included
path
recommend,
distinguishing
past
on
vehicles.
Language: Английский
Bon appetit! Factors influencing consumers’ repurchase intention at food trucks in Malaysia
Nur Sophia Alyssa Nazri,
No information about this author
Abdul Hafaz Ngah,
No information about this author
Samar Rahi
No information about this author
et al.
Journal of Foodservice Business Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 25
Published: Nov. 26, 2024
Despite
many
issues
in
food
truck
services,
customers
still
enjoy
at
trucks.
The
study
aimed
to
identify
factors
influencing
repurchase
intention
trucks
(FT),
while
using
quality
and
experience
as
stimuli,
cognitive
fluency,
hedonic
eating
value,
image
mediators
organism
within
the
S-O-R
framework.
Applying
a
snowball
sampling
method,
data
were
gathered
via
an
online
survey.
Out
of
324
completed
answers,
only
307
usable
for
further
analysis.
Partial
least
squares
structural
equation
modeling
with
SmartPLS
4
was
applied
analyze
data.
findings
confirmed
that
value
positively
influenced
consumers'
intention.
Furthermore,
also
mediated
relationship
between
provide
meaningful
information
FT
providers
craft
better
policy
marketing
strategy
on
how
enhance
among
their
current
customers,
which
will
lead
business
sustainability.
proposed
new
model
fluency
mediator,
is
novel
studies
where
used.
Language: Английский
Impact of Intellectual Capital on the Small and Medium Enterprises’ Innovation Activities in South-West Nigeria
Aderonke Julian Ojo,
No information about this author
Sakar Adegbola Adeyemo
No information about this author
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(4), P. 85 - 101
Published: July 1, 2024
This
study
examined
the
Impact
of
Intellectual
Capital
on
Innovation
activities
Small
and
Medium
Enterprises
(SMEs).
The
specific
objective
determined
effect
human
capital
product
innovation
assessed
impact
structural
process
innovation.
It
also
relational
service
population
consisted
twenty-three
thousand,
two
hundred
ninety
(23,290)
registered
SMEs
located
in
South-West
Nigeria.
sample
393
drawn
from
using
a
multi-stage
sampling
technique.
Structured
questionnaires
were
employed
to
collect
data
business
owners
managers
selected
manufacturing
services
sectors.
analysed
linear
multiple
regression
with
aid
SPSS
24.
Findings
indicate
that
all
three
dimensions
intellectual
–
human,
relational-
have
positive
significant
SME
products,
processes,
activities.
concluded
SMES
must
utilise
its
improve
capacities
for
innovation,
thereby
enhancing
level
competitiveness.
Language: Английский
Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Published: Dec. 12, 2024
The
rapid
expansion
of
the
mobile
gaming
industry
has
underscored
need
to
understand
user
sentiment,
with
social
media
platforms
like
X
(Twitter)
providing
key
insights.
This
study
applied
sentiment
analysis
English
and
Turkish
tweets,
utilizing
TEMSAP-CNNLSTM
model
a
hybrid
architecture
combining
Convolutional
Neural
Networks
(CNN)
Long
Short-Term
Memory
(LSTM)
networks
for
precise
classification
complex
textual
data.
model's
performance
was
benchmarked
against
traditional
machine
learning
methods,
including
Logistic
Regression,
Support
Vector
Machines
(SVM),
K-Nearest
Neighbors
(KNN).
Results
revealed
that
consistently
achieved
superior
performance,
highest
Accuracy,
Precision,
Recall,
F1-Score
across
both
datasets.
attained
96%
accuracy
on
training
datasets
93%
92%
test
datasets,
respectively.
These
findings
highlighted
capability
in
handling
data,
surpassing
approaches
while
demonstrating
robust
generalizability
languages.
offers
valuable
insights
game
developers
suggests
broader
applicability
other
industries
requiring
accurate
multilingual
contexts.
Language: Английский