Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: April 8, 2024
Abstract
Due
to
the
extraordinary
capacity
of
artificial
intelligence
(AI)
process
rich
information
from
various
sources,
an
increasing
number
enterprises
are
using
AI
for
development
ecosystem-based
business
models
(EBMs)
that
require
better
orchestration
multiple
stakeholders
a
dynamic,
sustainable
balance
among
people,
plant,
and
profit.
However,
given
nascency
relevant
issues,
there
exists
scarce
empirical
evidence.
To
fill
this
gap,
research
follows
affordance
perspective,
considering
technology
as
object
EBM
use
context,
thereby
exploring
how
whether
technologies
afford
EBMs.
Based
on
data
Chinese
A-share
listed
companies
between
period
2014
2021,
our
findings
show
inverted
U-shape
quadratic
relationship
EBM,
moderated
by
knowledge
spillover.
Our
results
enhance
understanding
role
in
configuring
EBMs,
thus
providing
novel
insights
into
mechanisms
specific
practice
with
societal
concerns
(i.e.,
EBM).
Technological Forecasting and Social Change,
Journal Year:
2023,
Volume and Issue:
197, P. 122903 - 122903
Published: Oct. 13, 2023
This
study
explores
the
potential
of
AI
to
enable
circular
business
model
innovation
(CBMI)
for
industrial
manufacturers
and
corresponding
capacities
dynamic
capabilities
required
their
commercialization.
Employing
an
analysis
six
leading
B2B
firms
engaged
in
digital
servitization,
we
conceptualize
perceptive,
predictive,
prescriptive
AI,
which
enhance
resource
efficiency
by
automating
augmenting
data-driven
decision
making.
We
further
identify
two
innovative
classes
AI-enabled
CBMs
–
augmentation
(e.g.,
optimization
solutions)
automation
autonomous
models
main
value
drivers.
Finally,
our
research
reveals
novel
underpinning
discovery,
realization,
make
economic
sustainable
values
come
life
collaborating
with
customers
ecosystem
partners.
represents
important
step
understanding
how
can
drive
circularity
servitization.
Overall,
contributes
practice
academic
literature
on
models,
servitization
highlighting
empower
underlying
processes
this
transformation.
International Journal of Lean Six Sigma,
Journal Year:
2023,
Volume and Issue:
15(1), P. 22 - 49
Published: May 12, 2023
Purpose
Environmental
sustainability
is
quickly
becoming
one
of
the
most
critical
issues
in
industry
development.
This
study
aims
to
conduct
a
systematic
literature
review
through
which
author
can
provide
various
research
areas
work
on
for
future
researchers
and
insight
into
Industry
4.0
environmental
sustainability.
Design/methodology/approach
accomplishes
this
by
performing
backward
analysis
using
text
mining
Scopus
database.
Latent
semantic
(LSA)
was
used
analyze
corpus
4,364
articles
published
between
2013
2023.
The
authors
generated
ten
clusters
keywords
industrial
revolution
domain,
highlighting
avenues
further
exploration.
Findings
In
study,
three
questions
discuss
role
with
4.0.
predicted
treated
as
recent
trends
more
required
from
researchers.
provided
year-wise
analysis,
top
authors,
countries,
sources
network
related
topic.
Finally,
industrialization’s
effect
aspect
automation.
Research
limitations/implications
reliability
current
may
be
compromised,
notwithstanding
size
sample
used.
Poor
retrieval
attributed
limitations
imposed
search
words,
synonyms,
string
construction
variety
engines
used,
well
accurate
exclusion
results
insufficient.
Originality/value
first-ever
natural
language
processing
technique
implemented
predict
based
keywords–document
relationship.
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.
International Journal of Management Reviews,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 23, 2025
Abstract
Digital
ecosystems
(DEs),
driven
by
information
and
communication
technologies,
are
reshaping
the
way
firms
create,
deliver,
capture
value
across
interconnected
networks.
These
dynamic
loosely
coupled
facilitate
collaboration
innovation
among
firms,
customers,
suppliers,
partners.
While
research
on
digital
transformation
(DT)
has
often
focused
internal
firm
changes,
influence
of
DEs
set
capabilities
at
ecosystem,
partner,
focal
levels
remains
underexplored.
This
paper
addresses
this
gap
adopting
a
(DCs)
framework
to
investigate
which
required
engaging
in
DEs.
Through
systematic
literature
review,
we
identify
17
DCs
essential
for
adapt
ecosystem‐based
interactions.
Our
findings
reveal
that
success
requires
co‐create
co‐deliver
through
new
leverage
data,
foster
coopetition,
align
operations
with
broader
ecosystem.
We
propose
multi‐level
highlights
critical
role
interfirm
offers
actionable
insights
navigating
increasingly
environments.
Lastly,
present
five
future
directions
address
gaps
different
ecosystem
research.
Technological Forecasting and Social Change,
Journal Year:
2023,
Volume and Issue:
194, P. 122606 - 122606
Published: July 27, 2023
Rapid
digitalization
of
industries
has
led
to
the
proliferation
complex
industrial
digital
platforms;
however,
few
platform
leaders
have
successfully
established
sustainable
business
models
around
their
offerings.
The
need
for
a
concrete
definition
platforms
and
further
complicates
our
understanding
issue.
In
this
prospecting
review,
we
critically
analyze
existing
literature
on
identify
key
research
themes
gaps
propose
future
agenda
from
model
perspective.
Drawing
insights
platforms,
digitalization,
servitization,
business-to-business
(B2B)
relationships,
analysis
focuses
three
in
defining
boundaries
crucial
aspects
value
creation,
delivery,
capture
such
platforms:
(a)
co-creative
(b)
digitally
integrated
(c)
mutual
capture.
findings
study
framework
provide
roadmap
advancing
platforms.
This
aims
contribute
emerging
field
guide
endeavors
domain,
unlocking
full
potential
these
businesses
industries.
Journal of Cleaner Production,
Journal Year:
2023,
Volume and Issue:
401, P. 136665 - 136665
Published: March 8, 2023
There
is
already
extensive
literature
that
focuses
on
the
leading
role
of
digital
technologies
in
fostering
circular
business
model
innovation.
However,
little
attention
has
been
paid
so
far
to
dynamic
capabilities
involved
digitally
enabled
transition
from
linear
circular.
We
contribute
reducing
this
gap
by
proposing
an
empirically
grounded
theoretical
framework
Our
contribution
systemic
inductive
analysis
based
Gioia
methodology
7
in-depth
semi-structured
interviews
with
managers
charge
Companies
were
selected
for
their
SASB
materiality
index
and
levels
technological
intensity.
findings
highlight
capability
sensing
seizing
innovation
and,
particular,
supply
chain
collaboration,
lean
methodologies,
project
management.
International Journal of Operations & Production Management,
Journal Year:
2023,
Volume and Issue:
43(13), P. 101 - 127
Published: March 28, 2023
Purpose
Digital
servitization
concerns
how
manufacturers
utilize
digital
technologies
to
enhance
their
provision
of
services.
Although
requires
that
possess
new
capabilities,
in
contrast
strategic
(or
dynamic)
little
is
known
about
they
develop
the
required
operational
capabilities.
The
paper
investigates
mechanisms
for
developing
capabilities
servitization.
Design/methodology/approach
This
presents
an
exploratory
study
based
on
15
large
operating
Europe
engaged
Findings
Three
capability
development
are
set
out
use
facilitate
servitization:
learning
(developing
in-house),
building
(bringing
requisite
into
manufacturer),
and
acquiring
(utilizing
other
actors).
These
emphasize
exploitation
exploration
efforts
within
collaborations
with
upstream
downstream
partners.
findings
demonstrate
need
combine
these
according
combinations
match
each
manufacturer’s
traditional
phase:
(1)
initial
phase
-
acquiring,
(2)
middle
learning,
(3)
advanced
building.
Originality/value
reveals
three
mechanisms,
highlighting
parallel
It
provides
a
holistic
understanding
used
by
combining
theoretical
perspectives
(organizational
absorptive
capacity,
network
perspectives).
demonstrates
significant
application
