Understanding determinants of digital transformation and digitizing management functions in incumbent SMEs
Digital Business,
Год журнала:
2025,
Номер
5(1), С. 100106 - 100106
Опубликована: Янв. 27, 2025
Язык: Английский
What Drives Market‐Oriented Trading of Resource and Environmental Elements: An Analysis Based on the Technology–Organization–Environment Framework
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 28, 2025
ABSTRACT
The
market‐oriented
trading
of
resource
and
environmental
elements
is
a
key
mechanism
for
optimizing
the
efficiency
rights
allocation.
This
study,
based
on
technology–organization–environment
(TOE)
framework,
selects
30
element
platforms
in
China
as
research
sample.
Using
fuzzy‐set
qualitative
comparative
analysis
method,
we
explore
effective
path
combination
driving
trading.
results
reveal
five
paths
that
can
achieve
high‐level
trading,
which
be
classified
into
three
types:
technology–organization,
organization–environment,
rule‐based.
Organizational
regulatory
factors
play
an
indispensable
role,
regardless
type.
conclusion
this
study
provides
useful
reference
incentivizing
transactions,
helping
improve
market
operation
interests.
Язык: Английский
Fuzzy-set qualitative comparative analysis of influencing factors on family doctor service performance during major public health emergencies
Frontiers in Public Health,
Год журнала:
2025,
Номер
13
Опубликована: Апрель 8, 2025
Objective
By
studying
the
Technology-Organization-Environment
Framework
(TOE),
this
research
explores
impact
of
various
indicators
in
technology,
organization,
and
environment
on
performance
family
doctor
services
during
major
public
health
emergencies.
It
aims
to
identify
driving
paths
improve
performance.
Methods
A
stratified
sampling
34
community
service
centers
Shanghai
was
conducted,
using
comprehensive
score
doctors
as
outcome
variable.
The
Average
Internet
Medical
Service
Person-times
Information
Technology
Expenditure
per
Thousand
Population
were
considered
technology-related
variables.
Fiscal
Allocation
(/1,000),
Family
Doctor
Team
Members
Population,
Social
Workers
Volunteers
identified
organization-related
Proportion
Older
Adult
number
patient
self-education
organizations
thousand
population
taken
environment-related
Fuzzy-set
Qualitative
Comparative
Analysis
(fsQCA)
employed
conduct
necessity
analysis,
truth
table
configurational
analysis
antecedent
conditions,
with
robustness
tests
performed
by
adjusting
consistency
thresholds
case
frequencies.
Results
study
found
that
influenced
multiple
factors,
no
single
decisive
factor.
In
overall
communities,
five
configurations,
including
capita
fiscal
allocation
participation,
affected
performance,
explaining
4.2%
variance.
central
urban
areas,
information
technology
expenditure
core
influencing
27.5%
paths.
non-central
conditions
such
financial
support
IT
covered
53.9%
data
cases.
fsQCA
results,
which
robustly
tested,
begin
provide
a
strong
basis
for
resource
policy
formulation.
Conclusion
This
begins
fill
gap
emergencies,
exploring
synergistic
effects
causal
asymmetry
among
from
holistic,
or
configurational,
perspective.
Язык: Английский
Exploring the Influencing Factors of Digital Transformation: Empirical Results From SMEs in China
Managerial and Decision Economics,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 26, 2024
ABSTRACT
Digital
transformation
has
become
a
crucial
strategic
initiative
to
advance
high‐quality
development
among
small‐
and
medium‐sized
enterprises
(SMEs)
in
developing
countries.
However,
existing
research
lacks
comprehensive
analysis
of
the
complex
causal
mechanisms
underlying
successful
digital
SMEs.
This
study
aims
uncover
drivers
SMEs
identify
effective
pathways
for
their
adoption.
Utilizing
push–pull–mooring
(PPM)
theory,
this
applies
necessary
condition
(NCA)
fuzzy
set
qualitative
comparative
(fsQCA)
on
sample
investigate
influencing
factors
pathway
choices
China.
The
findings
indicate
that
infrastructure,
technological
innovation
capability,
talent,
market
competitive
pressure
are
essential
conditions
advancing
Two
primary
elevate
levels
identified:
“Fully
Element‐Driven
Type”
“Push–Mooring
Effects‐Oriented
Type.”
Comparative
different
reveals
substitution
effects
certain
transformation.
contributes
understanding
interplay
SMEs,
providing
actionable
insights
guidance
seeking
implement
Язык: Английский
Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions
Energy Informatics,
Год журнала:
2024,
Номер
7(1)
Опубликована: Дек. 30, 2024
In
the
context
of
global
climate
change
and
sustainable
development,
enterprise
digital
transformation
has
become
key
to
improving
efficiency
competitiveness.
Digital
twin
technology,
as
an
emerging
tool,
enables
real-time
monitoring,
prediction,
optimization
by
creating
dynamic
virtual
models
real-world
processes.
This
paper
explores
impact
twin-based
on
renewable
energy
investment
decisions.
Through
empirical
analysis
over
200
companies
globally,
study
finds
that
using
technology
exhibit
higher
accuracy
in
These
show
improved
forecasting
consumption
returns,
gaining
a
competitive
edge.
On
average,
these
experience
15%
ROI
increase
for
their
investments
enjoy
20%
acceleration
decision-making
process.
Furthermore,
delves
into
how
adoption
differs
across
various
company
sizes
industries,
providing
actionable
insights
guidance
enterprises
embarking
journey.
Язык: Английский
Adoption of Digitalization in SMEs Using the TOE Framework and Advanced Analyses
Journal Economic Business Innovation,
Год журнала:
2024,
Номер
1(2), С. 180 - 194
Опубликована: Июль 10, 2024
Objective:
The
objective
of
this
study
is
to
investigate
the
influencing
factors
that
lead
adoption
digitalization
in
small
and
medium-sized
enterprises
(SMEs),
taking
into
account
interaction
technological,
organizational,
environmental,
outside
market
dimensions
based
on
Technology-Organization-Environment
(TOE)
framework.Method:
A
quantitative
approach
was
adopted
included
using
a
structured
survey
gather
data
from
200
SME
managers
three
main
industries:
manufacturing,
services,
retail.
For
testing
relationships
TOE
moderating
effect
technological
readiness,
were
analyzed
Structural
Equation
Modeling
(SEM).Results:
It
finds
all
model,
i.e.,
have
significan
positive
effects
SMEs'
digital
technology
adoption.
further
establishes
external
forces
as
key
mediator
between
relationship
digitalization.
discovered
preparation
level
moderates
phase,
adding
agility
with
which
SMEs
embody
technologies.Originality:
significance
research
lies
fact
it
uses
empirical
evidence
exhibit
how
mediate
emphasises
role
readiness
informing
transformation
strategies,
has
been
largely
overlooked
prior
research.Implications:
These
findings
hold
significant
implications
for
policymakers
alike.
investment
in-house
Technological
Readiness
enable
digitalization,
while
innovative
Digital
Technologies
by
would
need
favorable
exogenous
Environmental
Mullions
alignment
Government
Policymakers
Future
can
also
consider
more
variables
use
longitudinal
designs
capture
changing
nature
Язык: Английский