PLoS ONE,
Год журнала:
2024,
Номер
19(8), С. e0309468 - e0309468
Опубликована: Авг. 26, 2024
Augmented
Reality
(AR)
offers
a
rich
business
format,
convenient
applications,
great
industrial
potential,
and
strong
commercial
benefits.
The
integration
of
AR
technology
with
online
shopping
has
brought
tremendous
changes
to
e-commerce.
Technology
Acceptance
Model
(TAM)
is
mature
model
for
assessing
consumer
acceptance
new
technologies,
applying
it
evaluate
the
impact
experiences
on
purchase
intention
an
urgently
needed
area
research.
Firstly,
typical
applications
in
were
reviewed,
connotations
summarized.
Secondly,
using
five
types
as
antecedent
variables,
perceived
ease
use
usefulness
intermediate
theoretical
was
constructed
explore
customer
intentions,
followed
by
empirical
study.
Finally,
suggestions
proposed
optimizing
experience
enhance
intentions.
article
expands
application
scenarios
enriches
theory
behavior
Metaverse
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 180 - 195
Опубликована: Янв. 29, 2024
Supply
chain
management
is
essential
to
a
company's
success
in
today's
fiercely
competitive
business
environment,
regardless
of
the
industry.
Businesses
are
increasingly
turning
big
data
analytics
as
useful
tool
for
supply
improvement
meet
expanding
needs
customers,
save
operational
costs,
and
boost
overall
efficiency.
In
order
improve
critical
areas
including
demand
forecasting,
inventory
management,
logistics
optimization,
risk
reduction,
research
has
been
conducted
on
collecting
use
management.
Big
integration
can
result
more
cost-effective
operations,
better
customer
service,
increased
resilience
disturbances.
Organisations
that
effectively
will
gain
advantage
constantly
changing
landscape
technology
capabilities
continue
grow.
Heliyon,
Год журнала:
2024,
Номер
10(8), С. e29317 - e29317
Опубликована: Апрель 1, 2024
This
mixed-method
study
explores
the
acceptance
of
ChatGPT
as
a
tool
for
Metacognitive
Self-Regulated
Learning
(MSRL)
among
academics.
Despite
growing
attention
towards
metacognitive
learning
tool,
there
is
need
comprehensive
understanding
factors
influencing
its
in
academic
settings.
Engaging
300
preservice
teachers
through
ChatGPT-based
scenario
activity
and
utilizing
convenience
sampling,
this
administered
questionnaire
based
on
proposed
Technology
Acceptance
Model
at
UTM
University's
School
Education.
Structural
equation
modelling
was
applied
to
analyze
participants'
perspectives
ChatGPT,
considering
like
MSRL's
impact
usage
intention.
Post-reflection
sessions,
semi-structured
interviews,
record
analysis
were
conducted
gather
results.
Findings
indicate
high
significantly
influenced
by
personal
competency,
social
influence,
perceived
AI
usefulness,
enjoyment,
trust,
intelligence,
positive
attitude,
self-regulated
learning.
Interviews
suggest
that
academics
view
positively
an
educational
seeing
it
solution
challenges
teaching
processes.
The
highlights
ChatGPT's
potential
enhance
MSRL
holds
implications
teacher
education
integration
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Фев. 22, 2024
In
the
rapidly
evolving
landscape
of
technology,
emergence
Chat
Generative
Pre-trained
Transformer
(ChatGPT)
marks
a
pivotal
milestone
in
realm
Artificial
Intelligence
(AI).
However,
little
research
has
reported
predictors
people's
intentions
to
use
ChatGPT.
This
pioneering
study
empirically
examines
user
adoption
through
lens
Technology
Acceptance
Model
(TAM)
using
convenience
sampling
method.
The
surveyed
784
ChatGPT
users
China,
whom
58.93%
were
males.
results
have
revealed
several
key
findings:
(1)
perceived
usefulness,
ease
use,
behavioral
intention,
and
behavior
positively
correlated
with
each
other;
(2)
intention
acted
as
mediating
factor
relationship
between
usefulness
behavior,
well
behavior;
(3)
played
chain-mediated
role
(4)
exhibited
greater
strength
among
females
compared
males;
(5)
association
was
found
be
stronger
urban
comparison
their
rural
counterparts;
(6)
connections
observed
individuals
higher
educational
backgrounds
relative
those
lower
backgrounds.
These
findings
provide
crucial
nuanced
insights
advance
practical
application
ChatGPT,
emphasizing
need
for
enhanced
usability
use.
this
exclusively
captured
usage
behaviors
within
Chinese
base.
Future
investigations
could
encompass
diverse
demographics
across
multiple
countries,
enabling
cross-cultural
comparisons.
Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 167 - 184
Опубликована: Май 13, 2024
The
proliferation
of
e-commerce
platforms
has
provided
customers
with
a
level
convenience
never
seen
before,
but
it
also
raises
serious
questions
about
how
sensitive
consumer
data
is
protected.
This
chapter
explores
the
complex
interplay
between
two
emerging
technologies,
AI
and
blockchain,
goal
strengthening
protection
on
platforms.
It
examines
innovative
forward-thinking
solutions
that
handle
complexities
governance
as
well
changing
legal
aspects
industry
by
exposing
numerous
difficulties
challenges
occur
in
this
confluence.
one
biggest
issues
facing
e-commerce.
combination
blockchain
technology
artificial
intelligence
(AI)
acts
lighthouse,
pointing
way
for
sector
toward
more
transparent,
safe,
morally
upright
future.
Frontiers in Artificial Intelligence,
Год журнала:
2025,
Номер
7
Опубликована: Янв. 16, 2025
Artificial
Intelligence
(AI)
is
a
transformative
technology
impacting
various
sectors
of
society
and
the
economy.
Understanding
factors
influencing
AI
adoption
critical
for
both
research
practice.
This
study
focuses
on
two
key
objectives:
(1)
validating
an
extended
version
Technology
Acceptance
Model
(TAM)
in
context
by
integrating
Big
Five
personality
traits
mindset,
(2)
conducting
exploratory
k-prototype
analysis
to
classify
adopters
based
demographics,
AI-related
attitudes,
usage
patterns.
A
sample
N
=
1,007
individuals
(60%
female;
M
30.92;
SD
8.63
years)
was
collected.
Psychometric
data
were
obtained
using
validated
scales
TAM
constructs,
traits,
mindset.
Regression
used
validate
TAM,
clustering
algorithm
applied
participants
into
adopter
categories.
The
psychometric
confirmed
validity
TAM.
Perceived
usefulness
strongest
predictor
attitudes
towards
(β
0.34,
p
<
0.001),
followed
mindset
scale
growth
0.28,
0.001).
Additionally,
openness
positively
associated
with
perceived
ease
use
0.15,
revealed
four
distinct
clusters,
consistent
diffusion
innovations
model:
early
(n
218),
majority
331),
late
293),
laggards
165).
findings
highlight
importance
shaping
toward
adoption.
results
provide
nuanced
understanding
types,
aligning
established
innovation
theories.
Implications
deployment
strategies,
policy-making,
future
directions
are
discussed.
Climate Risk Management,
Год журнала:
2024,
Номер
45, С. 100619 - 100619
Опубликована: Янв. 1, 2024
Drought
is
one
of
the
most
significant
and
complex
climate
risks,
with
profound
effects
on
reducing
agricultural
production
exacerbating
poverty
food
insecurity
worldwide
in
absence
effective
mitigation
measures.
Climate
assessments
indicate
that
drought
will
affect
majority
world
regions
future,
agricultural-dependent
communities
bearing
brunt
its
impacts.
Therefore,
managing
measures
to
mitigate
crucial
this
regard.
This
research
aims
(1)
examine
adoption
status
adaptation
strategies
(2)
identify
influential
factors
affecting
Iran.
The
study
population
consisted
all
rural
households
Kerman
Province
(southeastern
Iran).
In
order
accurately
select
studied
samples,
calculation
severity
was
done
based
Standardized
Precipitation
Index
(SPI).
research,
an
extended
version
Technology
Acceptance
Model
(TAM),
incorporating
new
variables
including
trust,
self-efficacy,
social
influence,
facilitating
conditions,
perceived
risk,
resistance
use,
performance
expectancy,
utilized
as
theoretical
framework.
Data
analysis
conducted
using
Structural
Equation
Modeling
(SEM).
results
revealed
farmers
under
conditions
were
categorized
into
five
classes:
Social
activities
(SA),
Physical
infrastructure
management
(PIM),
Financial
(FIM),
Farm
(FM),
Irrigation
water
(IWM),
Crop
(CM).
Furthermore,
SEM
indicated
hypothesized
relationships
context
significant,
explained
58%
variance
adaptive
behaviors.
Lastly,
considering
trust
had
effect
measures,
policymakers
field
are
recommended
increase
farmers'
these
by
conducting
thorough
needs
identifying
strategies.
Moreover,
organizing
appropriate
workshops
training
courses
can
enhance
awareness
understanding
for
mitigating
impacts
drought.
Heliyon,
Год журнала:
2024,
Номер
10(8), С. e29714 - e29714
Опубликована: Апрель 1, 2024
This
comprehensive
meta-analysis
investigates
the
significant
factors
influencing
consumer
decision-making
in
e-commerce.
Predominantly
focusing
on
parameters
of
trust,
perceived
risk,
security,
and
electronic
word-of-mouth
(e-WOM),
this
study
provides
insightful
revelations
their
integral
roles
shaping
e-commerce
purchasing
decisions.
The
findings
demonstrate
that
e-WOM
significantly
influence
consumers'
Perceived
Risk
plays
a
substantial
moderating
role
relationship
between
Trust
decisions,
amplifying
importance
managing
minimizing
risk
online
transactions
to
cultivate
trust.
Contrastingly,
Security
do
not
hold
same
effect
trust-purchasing
decision
nexus,
underscoring
direct
yet
unmoderated
these
have
behaviors.
Furthermore,
research
reveals
no
size
difference
among
respondents
from
high-income
low-income
countries
or
general
internet
users
shoppers
concerning
impact
trust
intriguing
finding
suggests
universal
digital
landscape,
irrespective
socio-economic
status
degree
engagement.
thus
sheds
new
light
complexities
processes.
It
offers
valuable
insights
for
businesses
aiming
enhance
engagement
expanding
marketplace.
Journal of Computer and Communications,
Год журнала:
2024,
Номер
12(06), С. 72 - 102
Опубликована: Янв. 1, 2024
In
an
era
dominated
by
artificial
intelligence
(AI),
establishing
customer
confidence
is
crucial
for
the
integration
and
acceptance
of
AI
technologies.
This
interdisciplinary
study
examines
factors
influencing
trust
in
systems
through
a
mixed-methods
approach,
blending
quantitative
analysis
with
qualitative
insights
to
create
comprehensive
conceptual
framework.
Quantitatively,
analyzes
responses
from
1248
participants
using
structural
equation
modeling
(SEM),
exploring
interactions
between
technological
like
perceived
usefulness
transparency,
psychological
including
risk
domain
expertise,
organizational
such
as
leadership
support
ethical
accountability.
The
results
confirm
model,
showing
significant
impacts
these
on
consumer
adoption
attitudes.
Qualitatively,
includes
35
semi-structured
interviews
five
case
studies,
providing
deeper
insight
into
dynamics
shaping
trust.
Key
themes
identified
include
necessity
explainability,
competence,
corporate
culture,
stakeholder
engagement
fostering
findings
complement
data,
highlighting
complex
interplay
technology
capabilities,
human
perceptions,
practices
AI.
By
integrating
findings,
proposes
novel
model
that
elucidates
how
various
elements
collectively
influence
not
only
advances
theoretical
understanding
but
also
offers
practical
implications
businesses
policymakers.
research
contributes
discourse
creation
decision-making
technology,
emphasizing
need
efforts
address
societal
challenges
associated
advancements.
It
lays
groundwork
future
research,
longitudinal,
cross-cultural,
industry-specific
further
explore
Heliyon,
Год журнала:
2024,
Номер
10(3), С. e25479 - e25479
Опубликована: Фев. 1, 2024
Despite
the
potential
of
information
technology
(IT)
to
enhance
business
efficiency
and
productivity,
many
entrepreneurs
still
refuse
adopt
it.
Their
low
adoption
rate
IT
is
often
attributed
a
lack
awareness
its
benefits.
Extending
acceptance
model,
this
study
aimed
investigate
effect
creativity
mediated
by
perceived
usefulness
(PU)
ease
use
(PEOU)
on
intention
continue
using
IT.
Additionally,
explores
how
entrepreneurial
orientation
(EO)
functions
as
contextual
factor
in
relationship
between
creativity,
PU,
PEOU.
In
contrast
extant
studies,
EO
better-suited
variable
for
our
it
more
extensive.
Data
were
collected
through
questionnaires
distributed
individual
taxpayers
registered
tax
offices
Special
Region
Yogyakarta,
Indonesia.
The
employed
not
only
quasi-experimental
method
with
coarsened
exact
matching
reduce
degree
model
dependence,
inefficiency,
bias
but
also
causal
mediation
analysis
explore
proposed
relationships.
focused
DJP
Online,
an
e-tax
service
provided
Directorate
General
Taxes
Indonesian
authority,
e-marketplace.
factors
identified
we
explain
that
variance
PU
greater
extent
creativity.
Similarly,
find
explains
larger
portion
PEOU
than
found
studies.
Our
findings
thoroughly
influences
entrepreneurs'
willingness
new
technologies.
Other
studies
could
employ
diverse
representative
sample
extend
these
findings.
International Journal of Science and Research Archive,
Год журнала:
2024,
Номер
11(1), С. 1460 - 1468
Опубликована: Фев. 9, 2024
The
integration
of
Artificial
Intelligence
(AI)
in
the
field
E-commerce
has
witnessed
significant
developments
United
States,
subsequently
influencing
global
trends
and
practices.
This
study
explores
recent
advancements
their
broader
impact
on
landscape.
In
USA,
AI
technologies
have
become
integral
to
enhancing
customer
experiences
optimizing
operational
efficiency
platforms.
Machine
learning
algorithms
are
increasingly
employed
for
personalized
recommendations,
creating
a
more
tailored
shopping
experience
users.
Natural
Language
Processing
(NLP)
applications
enable
improved
interactions
through
chatbots
virtual
assistants,
streamlining
service
processes.
Furthermore,
AI-driven
predictive
analytics
revolutionized
inventory
management
demand
forecasting,
allowing
businesses
optimize
stock
levels,
reduce
costs,
minimize
out-of-stock
situations.
data-driven
approach
not
only
enhances
but
also
contributes
sustainable
resilient
supply
chain.
influence
USA
transcended
domestic
boundaries,
shaping
As
American
giants
implement
cutting-edge
technologies,
other
nations
look
adopt
similar
strategies
remain
competitive
market.
adoption
is
particularly
pronounced
emerging
markets,
where
technological
play
pivotal
role
leapfrogging
traditional
retail
models.
Despite
these
advancements,
challenges
such
as
data
privacy
concerns
ethical
considerations
surrounding
persist.
Striking
balance
between
innovation
responsible
implementation
crucial
ensuring
sustained
growth
societal
trust
platforms
(Ilugbusi
et
al.,
2020).
transformative
force
USA's
sector,
triggering
ripple
effect
scale.
landscape
evolves,
comprehensive
understanding
provides
valuable
insights
stakeholders
worldwide,
guiding
them
harnessing
full
potential
future
innovation.