Thunderbird International Business Review,
Год журнала:
2024,
Номер
66(2), С. 151 - 170
Опубликована: Фев. 6, 2024
Abstract
The
collaboration
between
artificial
intelligence
(AI)
and
humans
is
reshaping
international
business
(IB)
management
dynamics,
aiming
to
achieve
global
sustainable
development.
Recent
IB
literature
indicates
that
managing
AI
brings
benefits
such
as
better
resource
reconfiguration,
reduced
transaction
costs,
However,
existing
provides
only
meager
knowledge
about
the
characteristics
of
how
these
can
be
employed
for
expansion
at
intersection
In
response,
our
aim
construct
by
employing
directed
qualitative
content
analysis
empirical
research.
Based
on
three
constructed
AI,
we
contribute
current
providing
a
framework
balance
economic
social
goals
utilizing
Further,
provide
future
research
themes
guide
toward
achieving
production
consumption
agenda.
Business Strategy and the Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 28, 2025
ABSTRACT
This
study
examines
the
integration
of
artificial
intelligence
(AI)
with
circular
economy
(CE)
principles
in
Thailand's
tourism
industry.
It
explores
interactions
between
AI‐Enhanced
Predictive
Waste
Analytics
(AI‐PWA),
Regenerative
Resource
Integration
(RRI),
Dynamic
Material
Flow
Optimization
(DMFO),
and
AI‐Induced
Resistance
to
Change
(AIRC).
Using
a
mixed‐methods
approach,
qualitative
insights
from
industry
stakeholders
are
combined
quantitative
analysis
via
Partial
Least
Squares
Structural
Equation
Modeling
(PLS‐SEM).
Findings
reveal
that
AI‐PWA
improves
real‐time
resource
management,
driving
DMFO
supporting
regenerative
practices
through
RRI.
However,
AIRC
moderates
AI's
effectiveness
sustainability
transitions,
concerns
such
as
job
displacement,
mistrust,
complexity
hindering
adoption.
provides
actionable
strategies
mitigate
resistance,
enhance
stakeholder
collaboration,
scale
AI
adoption
resource‐constrained
settings,
contributing
SDG
12
13.
The
findings
offer
practical
for
aligning
innovations
sustainable
development
high‐variability
industries.
Thunderbird International Business Review,
Год журнала:
2024,
Номер
66(2), С. 151 - 170
Опубликована: Фев. 6, 2024
Abstract
The
collaboration
between
artificial
intelligence
(AI)
and
humans
is
reshaping
international
business
(IB)
management
dynamics,
aiming
to
achieve
global
sustainable
development.
Recent
IB
literature
indicates
that
managing
AI
brings
benefits
such
as
better
resource
reconfiguration,
reduced
transaction
costs,
However,
existing
provides
only
meager
knowledge
about
the
characteristics
of
how
these
can
be
employed
for
expansion
at
intersection
In
response,
our
aim
construct
by
employing
directed
qualitative
content
analysis
empirical
research.
Based
on
three
constructed
AI,
we
contribute
current
providing
a
framework
balance
economic
social
goals
utilizing
Further,
provide
future
research
themes
guide
toward
achieving
production
consumption
agenda.