Artificial Intelligence and Industry 4.0: Catalysts for Sustainable Organizational Development
Studies in computational intelligence,
Год журнала:
2025,
Номер
unknown, С. 231 - 245
Опубликована: Янв. 1, 2025
Язык: Английский
Artificial Intelligence and Big Data Analytics: Transforming Supply Chain and Sustainable Manufacturing to Achieve SDGs Agenda
Sustainable Business and Society in Emerging Economies,
Год журнала:
2025,
Номер
7(1)
Опубликована: Март 31, 2025
Purpose:
The
purpose
of
this
work
is
to
understand
the
changes
brought
by
artificial
intelligence
(AI)
and
big
data
analytics
(BDA)
supply
chain
management
(SCM)
sustainable
manufacturing
(SM)
in
developing
countries
context.
It
seeks
identify
key
enablers,
advantages,
challenges
implementing
those
technologies
toward
advancement
UN
SDGs.
Design/Methodology/Approach:
Cross-sectional
survey
research
method
was
adopted;
specifically,
structured
questionnaires
were
administered
356
mid
senior
level
managers
various
industrial
organizations
Pakistan.
Hypothesis
testing
done
using
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
determine
relations
between
four
variables,
namely:
AI,
BDA,
SCM,
manufacturing.
evaluation
such
drivers
also
involved
proving
demographic
organizational
factors
as
Technology
Maturity
Investment.
Findings:
This
study
further
shows
that
AI
BDA
improve
performance
sustainability.
can
be
pointed
out
has
strongest
direct
effect
on
environmental
efficiency
waste
saving.
But
there
are
certain
limit
adoption,
budget
issues,
lack
skilled
IT
people,
culture
goes
against
adoption.
Implications/Originality/Value:
paper
presents
important
implications
for
policy
makers
well
business
strategists.
require
investment
infrastructure
development
workforce
human
ability
cope
with
change
comes
implementation
these
Two
technologies.
Such
efforts
enhance
operational
reliability,
cost
effectiveness
sustainability
environment.
fills
a
gap
literature
providing
empirical
results
from
economy
setting.
helpful
expand
existing
information
about
Industry
4.0
offer
practical
recommendations
digitalization
emerging
economies.
Язык: Английский
A Comprehensive Analysis of Role of Eco-Innovation in Linking Strategic Green Marketing and Service Innovation to Sustainable Products
Rehana Kouser,
Khatiba Asmat Zahra,
Muhammad Abdul Basit Memon
и другие.
Sustainable Business and Society in Emerging Economies,
Год журнала:
2024,
Номер
6(2)
Опубликована: Июнь 30, 2024
Purpose:
This
research
seeks
to
establish
whether
strategic
green
marketing,
service
innovation
and
eco-innovation
can
be
used
in
the
improvement
of
sustainable
products
development
usage.
The
aims
at
responding
challenges
such
as
climate
change,
scarcity
resources
pollution
environment
while
satisfying
customer’s
need
for
environmentally
services.
Design/Methodology/Approach:
Quantitative
design
was
whereby
questionnaires
with
close
ended
questions
were
223
participants
from
different
organizations.
addressed
issue
marketing
aspect
services
innovation.
To
test
hypothesis
examine
marketing’s
impact
on
innovation,
eco-innovation,
product
development,
multiple
regression
mediation
analysis
employed.
Findings:
outcomes
show
that
effects
creation
when
facilitated
by
are
significant.
Green
backed
true
innovations,
improves
customers’
confidence.
Implications/Originality/Value:
paper
provides
suggestions
managers,
policymakers,
industry
players
regarding
establishment
sustainable,
credible,
friendly
business
strategies.
Thus,
these
notions
demonstration
interconnections
between
them
will
help
enhance
transition
a
more
economy.
Язык: Английский
Peran Artificial Intelligence (AI) dalam Proses Pengambilan Keputusan terhadap Kinerja Organisasi: Analisis SLR
Indo-Fintech Intellectuals Journal of Economics and Business,
Год журнала:
2024,
Номер
4(2), С. 516 - 524
Опубликована: Июнь 22, 2024
The
purpose
of
this
research
is
to
analyze
the
role
AI
in
decision-making
on
organizational
performance.
method
used
qualitative
with
secondary
data.
data
metadata
documents
found
Scopus
website.
was
analyzed
by
SLR
method.
results
study
show
that
can
help
identify
potential
solutions
predicting
problems
being
studied
testing
various
variables
and
conditions
simulation
activities.
also
improve
performance
through
integration
decision-making.
However,
not
all
roles
performed
humans
should
be
handled
AI,
such
as
customer
service.
use
agents
public
service
operators
compared
human
has
a
negative
impact
perception
mutuality
control
organization-public
relationship
Язык: Английский
Sustainable Entrepreneurship in the Digital Age: Navigating Green Technology, Corporate Social Responsibility, and Financial Sustainability
Gohar Mahmood,
Maria Shams Khakwani,
Muhammad Abdul Basit Memon
и другие.
Journal of Accounting and Finance in Emerging Economies,
Год журнала:
2024,
Номер
10(2)
Опубликована: Июнь 30, 2024
Purpose:
The
purpose
of
this
study
is
to
establish
the
correlation
between
green
technology,
CSR,
and
financial
sustainability
in
relation
sustainable
entrepreneurship
digital
economy.
emphasis
made
on
intermediary
position
technology
promoting
practices
given
business
context.
Design/Methodology/Approach:
uses
a
quantitative
method
where
target
population
203
respondents
sampled
from
different
industries.
Self-administered
questionnaires
with
structured
closed
questions
were
used
collect
data
structural
equation
modelling
analysis
was
applied.
findings
reveal
that
are
correlated
because
acts
as
moderator
enhances
effects
sustainability.
Findings:
Corporate
social
responsibility
also
critical
formulation
success.
mediating
function
illustrated
case
demonstrate
how
organizations
can
enhance
through
better
communication
operational
effectiveness
while
using
fewer
resources.
Implications/Originality/Value:
This
contributes
existing
literature
by
revealing
new
perspectives
firms
use
support
environmentally
friendly
technologies
CSR
improve
performance.
conclusion
indicates
which
engage
strategies
facilitated
solutions
likely
be
more
viable
long
run.
research
forms
part
ongoing
entrepreneurship.
Язык: Английский