Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 18, 2024
This
study
investigates
the
relationship
between
digital
transformation
and
Environmental,
Social,
Governance
(ESG)
performance
in
context
of
SMEs.
Drawing
upon
Resource
Orchestration
Theory,
this
research
proposes
a
theoretical
model
that
examines
direct
effect
on
ESG
mediating
roles
innovation
capabilities
servitization
level
relationship.
PLS-SEM
fsQCA
were
employed
to
analyze
survey
data
from
215
SME
executives.
The
results
reveal
positively
influences
performance.
Moreover,
partially
mediate
contributes
literature
by
proposing
validating
comprehensive
integrates
these
constructs,
offering
actionable
insights
for
managers
policymakers
enhance
outcomes
through
strategic
initiatives.
Notably,
highlight
three
distinct
configurations
components
leading
high
performance,
providing
nuanced
pathways
SMEs
achieve
sustainable
development.
Journal of Product Innovation Management,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 26, 2023
Abstract
Artificial
intelligence
(AI)
is
a
promising
generation
of
digital
technologies.
Recent
applications
and
research
suggest
that
AI
can
not
only
influence
but
also
accelerate
innovation
in
organizations.
However,
as
the
field
rapidly
growing,
common
understanding
underlying
theoretical
capabilities
has
become
increasingly
vague
fraught
with
ambiguity.
In
view
centrality
making
happen,
we
bring
together
these
scattered
perspectives
systematic
multidisciplinary
literature
review.
The
aim
this
review
to
summarize
role
influencing
provide
taxonomy
based
on
empirical
studies.
Drawing
technological–organizational–environmental
(TOE)
framework,
our
condenses
findings
62
results
study
are
twofold.
First,
identify
dichotomous
triggered
by
adoption:
enabling
enhancing
.
those
identifies
enablers
adoption,
underscoring
competencies
routines
needed
implement
AI.
denote
adoption
transforming
or
creating
Second,
propose
reflects
practical
relation
three
reasons:
replace
,
reinforce
reveal
Our
makes
main
contributions.
either
required
for
generated
adoption.
applications.
Third,
use
TOE
framework
track
trends
contributions
recent
articles
agenda.
International Journal of Information Management,
Journal Year:
2024,
Volume and Issue:
77, P. 102781 - 102781
Published: April 3, 2024
Artificial
intelligence
(AI)
is
playing
a
leading
role
in
the
digital
transformation
of
enterprises,
particularly
manufacturing
industry
where
it
has
been
responsible
for
profound
key
business
and
production
operations.
Despite
accelerated
growth
AI
technologies,
knowledge
implementation
by
small
medium-sized
enterprises
(SMEs)
remains
underexplored.
Thus,
this
study
seeks
to
examine
how
SMEs
orchestrate
resources
implementation.
Building
on
resource
orchestration
(RO)
theory
recent
work
implementation,
we
investigate
multiple
case
studies
involving
Sweden
operating
packaging,
plastic,
metal
sectors.
Our
findings
indicate
that
structure
portfolio
based
acquiring
accumulating
resources.
are
bundled
into
learning
governance
capabilities
leverage
configurations
Through
dynamic
process
orchestration,
effectively
mobilising
coordinating
processes,
empowering
skilled
people.
This
research
contributes
existing
practice
academic
literature
highlighting
drive
an
organisation's
whilst
creating
competitive
advantage.
Review of Managerial Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 18, 2024
Abstract
This
study
intends
to
scrutinize
the
role
of
Artificial
Intelligence
(AI)
in
Product-Service
Innovation
(PSI).
The
literature
on
AI
enabled
PSI,
other
related
innovation
business
models,
product-service
systems,
and
servitization
has
grown
significantly
since
2018;
therefore,
there
is
a
need
structure
systematic
manner
add
what
been
studied
thus
far.
Product-service
used
represent
relevance
achieving
models
dealing
with
outcomes
including
artificial
intelligence.
bibliographic
coupling
analyze
159
articles
emerging
from
fields
computer
sciences,
engineering,
social
decision
management.
review
depicts
structures
comprising
five
(5)
clusters,
namely,
(1)
technology
adoption
transformational
barriers,
which
barriers
faced
during
AI-enabled
technologies
following
transformation;
(2)
data-driven
capabilities
innovation,
highlights
data-based
supported
through
innovation;
(3)
digitally
model
explained
how
occurs;
(4)
smart
design
changes
sustainability,
reveals
working
product
service
environments
different
transformations
based
sustainability;
sectorial
application,
industry
examples.
Each
cluster
comprehensively
analyzed
its
contents,
central
themes,
theories,
methodologies,
help
identify
gaps
support
suggestions
for
future
research
directions.
Management Decision,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 12, 2024
Purpose
This
study
investigates
the
profound
impact
of
artificial
intelligence
(AI)
capabilities
on
decision-making
processes
and
organizational
performance,
addressing
a
crucial
gap
in
literature
by
exploring
mediating
role
speed
quality.
Design/methodology/approach
Drawing
upon
resource-based
theory
prior
research,
this
constructs
comprehensive
model
hypotheses
to
illuminate
influence
AI
within
organizations
speed,
decision
quality,
and,
ultimately,
performance.
A
dataset
comprising
230
responses
from
diverse
forms
basis
analysis,
with
employing
partial
least
squares
structural
equation
(PLS-SEM)
for
robust
data
examination.
Findings
The
results
demonstrate
pivotal
shaping
capability
significantly
positively
affects
overall
Notably,
is
critical
factor
contributing
enhanced
further
uncovered
mediation
effects,
suggesting
that
partially
mediate
relationship
between
performance
through
speed.
Originality/value
contributes
existing
body
providing
empirical
evidence
multifaceted
Elucidating
advances
our
understanding
complex
mechanisms
which
drive
success.
