Promoting digital traceability in agriculture: A predictive approach to adoption and policy design in the olive sector
Technological Forecasting and Social Change,
Journal Year:
2025,
Volume and Issue:
215, P. 124077 - 124077
Published: March 3, 2025
Language: Английский
Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration
Reza Marvi,
No information about this author
Pantea Foroudi,
No information about this author
Naja AmirDadbar
No information about this author
et al.
International Journal of Information Management,
Journal Year:
2025,
Volume and Issue:
83, P. 102908 - 102908
Published: April 14, 2025
Language: Английский
Digital transformation for corporate ESG performance: configurations of applied digital technologies and digital technology application scenarios
Industrial Management & Data Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 2, 2025
Purpose
Environmental,
social
and
governance
(ESG)
performance
improvement
has
become
increasingly
prioritized
by
firms,
digital
transformation
is
often
employed
to
achieve
ESG
objectives.
Drawing
from
the
resource
orchestration
theory,
this
study
explores
how
various
aspects
–
including
applied
technologies
(ADTs)
technology
application
scenarios
(DTASs)
interact
generate
high
performance.
Design/methodology/approach
Using
a
Chinese
sample
of
960
firm-year
observations
2011
2021,
we
apply
fuzzy-set
qualitative
comparative
analysis
(fsQCA)
explore
configurations
leading
Findings
The
results
show
that
multiple
can
these
are
categorized
as
technology-oriented,
application-oriented
balanced
ones.
We
also
find
for
each
dimension
not
identical.
Moreover,
four
found
collectively
across
all
dimensions.
Originality/value
Previous
research
on
relationship
between
typically
considered
whole
or
examined
isolated
impacts
individual
ADTs.
Adopting
configurational
approach,
complements
literature
investigating
synergistic
effects
findings
offer
managerial
insights
firms
into
effectively
deploying
goals.
Language: Английский
Start‐Up Employees Adoption of AI Technology for Innovation Ecosystems: An In‐Depth Exploration
R and D Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 17, 2025
ABSTRACT
This
paper
presents
findings
from
a
qualitative
study
that
explored
the
factors
affecting
start‐up
employees'
adoption
of
AI
technology
for
innovation
ecosystems.
Using
thematic
analysis
based
on
interviews
with
35
employees
start‐ups,
we
employed
grounded
theory
approach
due
to
newness
context
and
limited
prior
research.
Our
identified
several
key
themes,
including
perceived
benefits
AI,
technical
considerations,
organizational
culture
values,
employee
attitudes
beliefs,
access
resources,
legal
ethical
industry‐specific
factors.
We
found
such
as
data
quality
infrastructure,
played
significant
role
in
determining
adoption.
Additionally,
values
were
important
shaping
towards
AI.
highlights
importance
addressing
both
cultural
when
promoting
ecosystems
start‐ups.
provide
valuable
insights
managers,
policy
makers,
researchers
seeking
better
understand
influencing
this
context.
Language: Английский
The asymmetric effects of digital inclusive finance’s breadth and depth on the digital transformation of agribusinesses
Finance research letters,
Journal Year:
2024,
Volume and Issue:
unknown, P. 106528 - 106528
Published: Dec. 1, 2024
Language: Английский
Research On Enterprise Digital Transformation -- Taking Alibaba as an Example
SHS Web of Conferences,
Journal Year:
2024,
Volume and Issue:
208, P. 01013 - 01013
Published: Jan. 1, 2024
This
paper
deeply
discusses
the
background,
concept
and
path
of
enterprise
digital
transformation,
takes
Alibaba
Group
as
a
typical
case
for
detailed
analysis.
In
context
economy,
enterprises
realize
comprehensive
transformation
economic
model
through
digitalization,
networking
intelligent
technologies,
which
promotes
wide
application
cloud
computing,
big
data
analysis,
artificial
intelligence
Internet
Things.
Digital
requires
companies
to
fundamentally
reshape
their
core
business
processes,
management
systems,
models
service
approaches
in
response
rapidly
changing
market
environment.
As
has
successfully
achieved
continuous
innovation
leadership
by
building
platform
ecosystem,
diversified
layout,
analysis
globalization
strategy.
summarizes
basic
principles
strategies
emphasizes
importance
data-driven
decision-making,
culture,
organizational
structure
optimization
technology
process,
provides
valuable
experience
reference
other
enterprises’
transformation.
Language: Английский