SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
Artificial
Intelligence
(AI)
stands
as
a
transformative
force
across
business,
technology,
and
science,
yet
its
comprehensive
impact
on
innovative
industries
remains
relatively
unexplored.
This
study
delves
into
the
interconnectedness
between
AI
pivotal
sectors
such
cryptocurrency,
blockchain,
metaverse,
democratized
banking,
Cleantech,
among
others.
Employing
conditional
autoregressive
value-at-risk
(CAViaR)
time-varying
parameters
vector
autoregressions
(TVP-VAR)
methods,
we
scrutinize
daily
data
spanning
from
June
1,
2018,
to
October
11,
2023,
encompassing
12
stock
indices
representing
each
industry.
Our
findings
unveil
strong
contagion
effect
other
sectors,
with
exception
of
which
appears
have
decoupled
surge.
Notably,
banking
metaverse
emerge
key
recipients
this
contagion.
Examination
tail-risk
spillovers
highlights
one
most
influential
risk
transmitters
during
market
tumult,
while
cryptocurrency
blockchain
consistently
function
net
receivers
throughout
sample
period.
The
implications
these
are
multifaceted,
offering
substantive
insights
profiles
critical
sectors.
Investors
regulatory
bodies
stand
benefit
significantly
analysis,
it
illuminates
potential
avenues
for
portfolio
diversification
deepens
understanding
mechanisms
within
evolving
industries.
Systems,
Journal Year:
2025,
Volume and Issue:
13(4), P. 266 - 266
Published: April 8, 2025
Supply
chain
diversification
(SCD)
is
widely
acknowledged
as
a
crucial
strategy
for
sustainable
supply
management.
However,
its
influence
on
environmental,
social,
and
governance
(ESG)
performance
remains
unclear.
This
study
will
explore
the
impact
of
SCD
ESG
uncover
underlying
mechanisms
drawing
structure–conduct–performance
(SCP)
paradigm.
To
achieve
this,
we
employ
multidimensional
fixed
effects
model
empirical
analysis
utilizing
panel
data
from
China’s
A-share
listed
companies
2010
to
2023.
The
findings
reveal
that
enhances
performance.
For
large-scale
enterprises
or
those
engaged
in
highly
competitive
high-pollution
industries
labor-intensive
capital-intensive
sectors,
well
are
located
eastern
central
regions,
positive
relatively
more
pronounced.
mechanism
shows
green
innovation
digital
transformation
act
mediators
through
which
drives
improvements.
Furthermore,
environmental
uncertainty
(EU)
positively
moderates
relationship
between
These
insights
provide
guiding
framework,
rich
theoretical
depth
practical
significance,
committed
developing
chains
pursuing
long-term
outstanding
within
complex
dynamic
market
environments.
Systems,
Journal Year:
2025,
Volume and Issue:
13(4), P. 262 - 262
Published: April 8, 2025
The
rapid
proliferation
of
digital
technologies
across
industries
has
created
significant
opportunities
for
enterprises,
yet
a
comprehensive
and
integrated
review
technology
diffusion
(DTD)
at
the
firm
level
remains
underexplored.
This
study
addresses
this
gap
by
systematically
analyzing
87
research
articles
published
between
1993
June
2024
in
top-tier
management
business
journals
(ranked
A*
or
A
ABDC-JQL
2022),
sourced
from
Web
Science
database.
Employing
hybrid
methodology
that
combines
bibliometric
framework-based
reviews,
provides
overview
existing
on
firm-level
DTD.
By
leveraging
established
theories,
contexts,
methods,
antecedents,
decisions,
outcomes
(TCM-ADO)
framework,
we
consolidate
fragmented
insights
propose
future
directions.
pioneers
application
TCM-ADO
framework
to
DTD,
offering
novel
taxonomy
advances
theoretical
development.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 28, 2025
Abstract
This
study
investigates
how
climate
risk
influences
corporate
digital
transformation
using
data
from
Chinese
A-share
listed
companies
(2000–2023).
Through
text
analysis
and
fixed-effects
regression
models,
we
demonstrate
that
firms
strategically
accelerate
to
mitigate
risks,
particularly
non-state-owned
enterprises,
high-tech
firms,
with
higher
institutional
ownership.
Financial
constraints,
analyst
coverage,
media
scrutiny
amplify
this
relationship.
Robustness
checks
including
propensity
score
matching
difference-in-differences
confirm
our
findings.
The
results
provide
novel
insights
into
serves
as
a
resilience-building
mechanism
against
offering
practical
guidance
for
policymakers
strategists
in
emerging
economies.
Systems,
Journal Year:
2024,
Volume and Issue:
12(11), P. 447 - 447
Published: Oct. 23, 2024
In
the
context
of
digital
economy,
technology
is
an
important
driving
force
to
promote
green
development
and
achieve
“dual-carbon
goal”.
Taking
1746
Shanghai
Shenzhen
A-share
enterprises
from
2015
2022
as
research
objects,
we
empirically
examine
relationship
between
government
subsidies,
transformation,
corporate
innovation.
The
study
shows
that
(1)
there
inverted
“U”-shaped
subsidies
technological
innovation,
while
transformation
plays
a
mediating
role,
difference
quality
quantity
in
promoting
(2)
Through
analysis
moderating
effect,
it
found
market
concentration
has
obvious
inhibitory
effect
enterprise
(3)
study,
by
classifying
nature
enterprises,
promotion
on
innovation
weaker
under
heavily
polluted
than
non-heavily
but
interval
larger.
Therefore,
should
make
full
use
inject
new
impetus
into
their
activities,
fully
consider
appropriate
space
for
receive
reasonable
incentive
smooth
information
docking
channels
subsidies.
