Opening a career door!: The role of ChatGPT adoption in digital entrepreneurial opportunity recognition and exploitation
International Journal of Information Management Data Insights,
Год журнала:
2025,
Номер
5(1), С. 100326 - 100326
Опубликована: Фев. 3, 2025
Язык: Английский
Can ChatGPT Boost Students’ Employment Confidence? A Pioneering Booster for Career Readiness
Behavioral Sciences,
Год журнала:
2025,
Номер
15(3), С. 362 - 362
Опубликована: Март 14, 2025
This
study
examines
the
impact
of
ChatGPT
on
university
students’
employment
confidence,
utilizing
comprehensive
methodologies
such
as
regression
analysis,
Inverse
Probability
Weighting
(IPW),
and
Structural
Equation
Modeling
(SEM).
The
results
indicate
that
regular
use
significantly
enhances
confidence
in
securing
employment,
with
stronger
effects
observed
among
undergraduate
students
those
social
sciences.
Additionally,
this
reveals
experience
plays
a
partial
mediating
role
effect,
underscoring
importance
user
interaction
realizing
benefits
AI
tools.
These
findings
suggest
not
only
improves
cognitive
abilities
career-related
knowledge
but
also
boosts
proactive
job-seeking
behaviors,
fostering
increased
job
market
readiness.
implications
are
far-reaching,
highlighting
how
tools
can
enhance
career
development
support,
particularly
for
at
earlier
stages
their
academic
journey.
As
technologies
continue
to
influence
education,
offers
valuable
insights
into
effectively
prepare
market,
potentially
contributing
future
research
shaping
educational
practices
ways
address
challenges.
Язык: Английский
Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems
Mathematics,
Год журнала:
2025,
Номер
13(6), С. 981 - 981
Опубликована: Март 17, 2025
In
Industry
4.0,
predictive
maintenance
(PdM)
is
key
to
optimising
production
processes.
While
its
popularity
among
companies
grows,
most
studies
highlight
theoretical
benefits,
with
few
providing
empirical
evidence
on
economic
impact.
This
study
aims
fill
this
gap
by
quantifying
the
performance
of
manufacturing
in
Visegrad
Group
countries
through
PdM
algorithms.
The
purpose
our
research
assess
whether
these
generate
higher
operational
profits
and
lower
sales
costs.
Using
descriptive
statistics,
non-parametric
tests,
Hodges–Lehmann
median
difference
estimate,
linear
regression,
authors
analysed
data
1094
enterprises.
Results
show
that
significantly
improves
performance,
variations
based
geographic
scope.
Regression
analysis
confirmed
as
an
essential
predictor
even
after
considering
factors
like
company
size,
legal
structure,
Enterprises
more
effective
cost
management
net
were
likely
adopt
PdM,
revealed
decision
tree
analysis.
Our
findings
provide
benefits
algorithms
their
potential
enhance
competitiveness,
offering
a
valuable
foundation
for
business
managers
make
informed
investment
decisions
encouraging
further
other
industries.
Язык: Английский
Generative Artificial Intelligence (GenAI) in entrepreneurial education and practice: emerging insights, the GAIN Framework, and research agenda
International Entrepreneurship and Management Journal,
Год журнала:
2025,
Номер
21(1)
Опубликована: Март 28, 2025
Язык: Английский
How AI‐Enabled Drivers Inspire Sustainability‐Oriented Entrepreneurial Intentions: Unraveling the (In)congruent Effects of Perceived Desirability and Feasibility From the Entrepreneurial Event Model Perspective
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 4, 2025
ABSTRACT
This
study
aims
to
examine
how
generative
artificial
intelligence
adoption
and
perceived
capacities
influence
sustainability‐oriented
entrepreneurial
intentions
through
psychological
mechanisms,
including
desirability
feasibility.
Despite
growing
research
interest
in
entrepreneurship,
the
role
of
technological
enablers,
particularly
intelligence,
shaping
has
been
underexplored.
To
achieve
this
objective,
an
advanced
approach—polynomial
regression
with
response
surface
analysis—was
employed
test
formulated
hypotheses
using
data
from
385
participants.
The
further
shows
that
improve
significantly
when
feasibility
are
aligned
but
remain
unaffected
by
misalignment.
Generative
shown
directly
indirectly
enhance
feasibility,
highlighting
dual
as
a
practical
enabler
motivator.
These
findings
contribute
extent
literature
indicating
technologies
foster
entrepreneurship.
Moreover,
these
provide
valuable
insights
for
policymakers,
educators,
organizations
demonstrating
can
be
leveraged
promote
sustainable
innovation
By
integrating
into
education
policy
frameworks,
stakeholders
better
support
development
entrepreneurs
advance
global
sustainability
goals.
Язык: Английский
Examining the interaction between artificial intelligence literacy and individual entrepreneurial orientation in teacher candidates: The mediating role of sustainable development
The International Journal of Management Education,
Год журнала:
2025,
Номер
23(2), С. 101156 - 101156
Опубликована: Март 4, 2025
Язык: Английский
“Integrated model perspective of capital theory, TPB and SCCT towards determines business students' digital entrepreneurial intention in developing country context”
The Journal of High Technology Management Research,
Год журнала:
2024,
Номер
35(2), С. 100519 - 100519
Опубликована: Сен. 20, 2024
Язык: Английский
Who’s in the mirror: shaping organizational identity through artificial intelligence and symbolic interactionism
Kybernetes,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 19, 2024
Purpose
The
purpose
of
this
study
is
to
examine
the
effects
artificial
intelligence
(AI)
on
identity
formation
processes
individuals
and
organizations.
Within
framework
symbolic
interactionism
looking-glass
self-theories,
it
investigated
how
AI
transforms
social
interactions
perceptions.
aims
understand
reshapes
individuals’
self-perception
in
organizational
context
provide
a
theoretical
explanation
these
processes.
Design/methodology/approach
This
article
uses
qualitative
research
grounded
theory
approach
individual
identity.
Data
obtained
through
literature
review
thematic
analysis
are
analyzed
theoretically
explain
With
method,
new
implications
presented
regarding
roles.
Findings
identities
by
automating
routine
tasks
providing
rapid
feedback,
which
enhances
collective
while
potentially
introducing
threats
or
development
opportunities
depending
task
alignment.
Originality/value
provides
novel
perspective
integrating
self-theories
with
interactions,
offering
fresh
insights
into
affects
construction
both
It
uniquely
examines
dynamic
influence
identity,
contributing
understanding
AI’s
role
reconfiguration
cognitive
behind
it.
Язык: Английский