Journal of Manufacturing Technology Management,
Год журнала:
2024,
Номер
35(9), С. 94 - 121
Опубликована: Май 27, 2024
Purpose
This
study
offers
practical
insights
into
how
generative
artificial
intelligence
(AI)
can
enhance
responsible
manufacturing
within
the
context
of
Industry
5.0.
It
explores
manufacturers
strategically
maximize
potential
benefits
AI
through
a
synergistic
approach.
Design/methodology/approach
The
developed
strategic
roadmap
by
employing
mixed
qualitative-quantitative
research
method
involving
case
studies,
interviews
and
interpretive
structural
modeling
(ISM).
visualizes
elucidates
mechanisms
which
contribute
to
advancing
sustainability
goals
Findings
Generative
has
demonstrated
capability
promote
various
objectives
5.0
ten
distinct
functions.
These
multifaceted
functions
address
multiple
facets
manufacturing,
ranging
from
providing
data-driven
production
enhancing
resilience
operations.
Practical
implications
While
each
identified
function
independently
contributes
under
5.0,
leveraging
them
individually
is
viable
strategy.
However,
they
synergistically
other
when
systematically
employed
in
specific
order.
Manufacturers
are
advised
leverage
these
functions,
drawing
on
their
complementarities
benefits.
Originality/value
pioneers
early
enhances
performance
framework.
proposed
suggests
prioritization
orders,
guiding
decision-making
processes
regarding
where
for
what
purpose
integrate
AI.
Journal of Systems and Information Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 14, 2025
Purpose
The
purpose
of
this
study
is
to
investigate
the
primary
determinants
influencing
acceptance
generative
artificial
intelligence
(GAI)
adoption
within
Blockchain-enabled
environments.
Further
research
will
examine
impact
GAI
on
supply
chain
efficiency
(SCE)
through
enhancement
Blockchain.
Design/methodology/approach
Drawing
innovation
diffusion
theory
(IDT),
used
partial
least
square
structural
equation
modelling
(PLS-SEM)
look
into
hypotheses.
data
were
gathered
via
online
questionnaires
from
employers
Chinese
enterprises
that
have
already
integrated
Findings
findings
demonstrate
relative
advantages
(RAs),
compatibility,
trialability
and
observability
a
significant
positive
effect
adoption,
while
complexity
harms
adoption.
Above
all,
has
significantly
enhanced
Blockchain,
thus
effectively
improving
SCE.
Practical
implications
outcomes
furnish
organizations
with
valuable
insights
proficiently
integrate
Blockchain
capability,
optimize
management
bolster
market
competitiveness.
Also,
help
accelerate
successful
integration
business
processes
attain
Sustainability
Development
Goals
9,
industrial
growth
diversification.
Originality/value
To
extent
author’s
knowledge,
current
status
remains
largely
exploratory,
there
limited
empirical
evidence
integrating
capability
GAI.
This
bridges
knowledge
gap
by
fully
revealing
optimal
these
two
transformative
technologies
leverage
their
potential
in
management.
Advances in media, entertainment and the arts (AMEA) book series,
Год журнала:
2024,
Номер
unknown, С. 45 - 71
Опубликована: Апрель 1, 2024
Generative
AI,
such
as
generative
pre-trained
transformer
(GPT),
has
seen
rapid
advancements
in
recent
years,
offering
a
wide
range
of
applications,
but
it
also
presents
several
challenges
and
opportunities.
GPT
can
automate
content
generation
for
various
industries,
including
journalism,
marketing,
entertainment,
reducing
the
need
manual
creation.
AI
personalize
recommendations
e-commerce,
streaming
services,
more,
enhancing
user
experiences.
GPT,
offers
immense
potential
across
sectors
requires
careful
management
to
address
bias,
ethics,
quality
control
challenges.
As
technology
evolves,
finding
right
balance
between
creativity
will
be
crucial
maximizing
its
benefits
while
minimizing
risks.
Based
on
above,
authors
systematically
review
bibliometric
literature
how
applications
challenge
opportunities
using
Scopus
database
by
analysing
49
academic
and/or
scientific
documents.
Journal of Manufacturing Technology Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 7, 2024
Purpose
While
ChatGPT
is
gaining
popularity,
its
potential
role
in
supply
chains
(SCs)
remains
unexplored.
This
study
explores
the
applications,
benefits
and
challenges
of
using
as
a
tool
SCs.
Design/methodology/approach
The
data
were
gathered
through
an
online
survey
involving
116
respondents
from
academic
industrial
sectors
who
have
knowledge
SC
management.
These
participants
affiliated
with
Decision
Science
Institute
(DSI)
USA
contributed
to
published
DSI
conference
proceedings
2019
2022.
structured
three
main
sections:
(1)
general
information
(5
background
questions),
(2)
ChatGPT's
applications
SCs
(15
pre-determined
questions)
(3)
questions).
collected
underwent
analysis
IBM
SPSS
Statistics
software.
Findings
can
potentially
benefit
operations
15
areas.
Eight
received
more
support
than
rest,
including
enhanced
process
efficiency,
cost
reduction,
providing
sustainability
reports,
better
demand
forecasting,
improved
analysis,
streamlined
supplier
communication,
customer
supported
promotional
activities
satisfaction,
but
all
supported.
Also,
identified
some
hurdles
currently
impacting
use
SC,
that
cannot
replace
experts,
it
not
immediate
game
changer,
uses
may
lack
accuracy,
take
time
reach
maturity.
Originality/value
first
offer
empirically
grounded
evidence
research
enhances
literature
by
deepening
our
comprehension
within
Therefore,
makes
invaluable
contribution
extant
on
It
manufacturers,
suppliers,
logistics
providers
other
types
businesses
efficient
procurement
practices,
management,
inventory
practices
relationships.
Future
explore
how
why
used
