The TQM Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Purpose
In
today’s
competitive
business
landscape,
organizations
are
increasingly
recognizing
the
strategic
advantage
of
implementing
sustainable
practices
to
gain
a
edge.
This
study
aims
investigate
effect
green
artificial
intelligence
(AI)
on
achieving
advantage,
examining
mediating
roles
organizational
learning,
product
innovation
and
process
innovation.
Additionally,
research
explores
moderating
role
perceived
climate
in
relationship
between
AI
these
factors.
Design/methodology/approach
examined
companies
Isfahan,
Iran,
that
have
varying
levels
adoption
within
their
processes.
The
target
population
consisted
148
senior
managers
from
companies.
uses
structural
equation
modeling
examine
proposed
model.
Findings
Green
positively
impacted
learning
but
not
addition,
results
showed
had
positive
effects
advantage.
Finally,
did
play
Practical
implications
Organizations
should
prioritize
initiatives,
foster
culture
invest
achieve
growth
outpace
competitors
environmentally
conscious
marketplace.
Originality/value
positions
itself
at
forefront
It
offers
unique
framework
by
combined
AI,
both
Advances in human resources management and organizational development book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 109 - 132
Published: Feb. 7, 2025
Although
artificial
intelligence
has
driven
digital
transformation
in
several
countries
and
sectors,
many
large
companies
are
still
lagging
behind
adopting
these
technologies.
In
fact,
business
managers
remain
unaware
of
the
strategic
role
AI
can
play.
Therefore,
explaining
potential
its
implications
could
be
a
viable
solution
to
address
this
issue.
context,
chapter
explores
how
enhance
organizational
performance
by
developing
dynamic
capabilities.
Using
survey-based
approach,
we
collected
data
from
multinational
firms
Tunisia
examine
indirect
effect
adoption
on
performance.
Data
was
gathered
226
analyzed
through
structural
equation
modeling.
Our
findings
reveal
that
positively
impacts
three
key
capabilities:
exploration
innovation,
decision-making
speed,
exploitation
innovation.
These
results
highlight
benefits
firms,
fostering
capabilities
that,
turn,
Sustainable Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 4, 2025
ABSTRACT
This
study
aims
to
examine
how
generative
artificial
intelligence
adoption
and
perceived
capacities
influence
sustainability‐oriented
entrepreneurial
intentions
through
psychological
mechanisms,
including
desirability
feasibility.
Despite
growing
research
interest
in
entrepreneurship,
the
role
of
technological
enablers,
particularly
intelligence,
shaping
has
been
underexplored.
To
achieve
this
objective,
an
advanced
approach—polynomial
regression
with
response
surface
analysis—was
employed
test
formulated
hypotheses
using
data
from
385
participants.
The
further
shows
that
improve
significantly
when
feasibility
are
aligned
but
remain
unaffected
by
misalignment.
Generative
shown
directly
indirectly
enhance
feasibility,
highlighting
dual
as
a
practical
enabler
motivator.
These
findings
contribute
extent
literature
indicating
technologies
foster
entrepreneurship.
Moreover,
these
provide
valuable
insights
for
policymakers,
educators,
organizations
demonstrating
can
be
leveraged
promote
sustainable
innovation
By
integrating
into
education
policy
frameworks,
stakeholders
better
support
development
entrepreneurs
advance
global
sustainability
goals.
