Arab Gulf Journal of Scientific Research,
Год журнала:
2023,
Номер
42(3), С. 602 - 620
Опубликована: Июнь 8, 2023
Purpose
This
techno-centric
and
too
much
busy
day-to-day
living
style
of
citizens
pressurizes
the
implementation
E-ticketing
service
to
adapt
with
change.
Thus,
this
study
aims
examine
factors
influencing
railway
passengers’
acceptance
usage
intention
in
Bangladesh
extend
widely
used
Technology
Acceptance
Model
through
inserting
two
new
constructs.
Design/methodology/approach
paper
employs
structural
equation
modeling
test
model’s
paths
developed
theoretical
research
framework.
Moreover,
a
structured
questionnaire
was
administered
at
different
stations
northern
western
parts
collect
data.
Total
302
responses
were
considered
for
statistical
analysis
hypotheses
after
considering
anomalies
outliers
raw
Findings
The
results
show
that
technology
trust
(TT)
has
strongest
impact
on
rather
than
perceived
ease
use
usefulness
(PU).
Meanwhile,
easiness
using
reserve
tickets
does
matter
female
passengers
male
wherein
PU
TT
do
not
that.
Originality/value
findings
might
be
helpful
authorities
improve
ticket
reservation
quality
online
by
developing
advanced
booking
application
minimizing
pressure
other
transportation.
Therefore,
empirical
will
contribute
domain
further
ensures
full
satisfaction
uplift
which
then
helps
government
implement
digitization
slogan
efficiency
effectiveness.
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 Quality & Reliability Management,
Год журнала:
2024,
Номер
41(6), С. 1550 - 1571
Опубликована: Янв. 8, 2024
Purpose
The
primary
aim
of
this
study
is
to
identify
and
analyze
the
key
factors
that
impact
intentions
Jordanian
tourists
visit
revisit
destinations
using
Jannah
Jo
app.
Design/methodology/approach
A
self-administered
questionnaires
via
Google
Forms
was
employed
comprising
a
sample
401
who
have
Partial
least
squares-structural
equation
modeling
approach
applied
for
hypotheses
testing.
Findings
present
investigation
has
revealed
constructs
perceived
ease
use
(PEU),
usefulness
(PU)
value
(PV)
exerted
significant
positive
on
electronic
word
mouth
(e-WOM).
Additionally,
e-WOM
observed
wield
influence
attitudes
consumers'
decision-making,
thereby
ultimately
affecting
with
regard
their
decisions
destinations.
Nevertheless,
it
noteworthy
results
indicated
neither
augmented
reality
nor
content
quality
exhibited
any
statistically
relationship
e-WOM.
Practical
implications
Tourism
agencies
striving
encourage
adoption
smart
applications
must
grasp
relevance
within
contemporary
digital
milieu.
they
should
acknowledge
significance
tourists'
concerning
both
revisiting
initial
visits.
This
research
contends
such
ought
take
into
account
substantial
by
PEU,
PU
PV
in
shaping
favorable
discourse.
Originality/value
By
integrating
technology
acceptance
model
conjunction
other
relevant
variables,
strives
develop
comprehensive
advances
comprehension
intricate
determinants
engagements
mobile
applications.
Furthermore,
represents
conducted
Middle
East,
specifically
Jordan,
subject
matter.
The Journal of Marketing Theory and Practice,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Июль 26, 2024
Drawing
on
the
"Technology
Acceptance
Model"
(TAM)
and
"Elaboration
Likelihood
Model,"
this
study
explored
determinants
of
intention
to
use
ChatGPT
obtain
shopping
information.
We
extended
TAM
by
incorporating
perceived
enjoyment.
Data
were
collected
from
412
Malaysians
analyzed
using
"Partial
Least
Squares"
approach.
Findings
confirmed
significance
enjoyment,
revealing
that
information
accuracy,
completeness,
diagnosticity
greatly
influence
usefulness.
These
results
enhance
understanding
ChatGPT's
in
gathering,
extend
TAM,
highlight
how
informational
cues
impact
usefulness,
guiding
developers
marketers
encourage
customer
text
generators.
Heliyon,
Год журнала:
2023,
Номер
9(9), С. e19719 - e19719
Опубликована: Сен. 1, 2023
Digital
platforms
are
increasingly
playing
a
crucial
role
in
the
digital
transformation
process,
enabling
small
and
medium-sized
enterprises
to
gain
competitive
advantage
achieve
their
business
objectives.
This
research
study
aims
extend
Technology
Acceptance
Model
by
incorporating
Stimulus-Organism-Reaction
theory
comprehensive
understanding
of
factors
influencing
satisfaction,
continued
intention
use,
positive
electronic
word-of-mouth
(eWOM)
context
Food
Delivery
Apps
(FDAs).
A
quantitative
approach
was
employed,
data
were
collected
through
survey
administered
346
FDA
users.
The
results
reveal
that
both
Information
quality
Task-technology
fit
have
impact
on
satisfaction
use.
Additionally,
found
greatest
influence
use
eWOM,
with
information
exerting
most
significant
satisfaction.
Furthermore,
findings
demonstrated
promotion
has
generating
eWOM.
makes
substantial
contribution
existing
literature
providing
valuable
insights
into
usage
It
serves
as
foundation
for
further
this
emerging
field
offers
practical
implications
stakeholders
involved
development,
management,
utilization
FDAs.
Journal of Sustainable Tourism,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Фев. 12, 2024
The
"Unified
Theory
of
Acceptance
and
Use
Technology"
(UTAUT)
has
been
extensively
employed
to
discover
the
factors
driving
positive
adoption
new
technologies.
However,
there
is
a
lack
research
on
potential
adverse
effects
UTAUT
user
behavior.
This
study
aims
fill
this
gap
by
investigating
negative
behavioral
intentions
food
delivery
application
(FDA)
users
based
questionnaire
administered
in
China
(n
=
428).
Using
structural-equation-modeling
analysis,
confirms
direct
or
indirect
various
factors,
including
"performance
expectancy",
"effort
"social
influence",
"facilitating
conditions",
"price
value",
"hedonic
motivation",
"habit",
FDA
users'
addiction
waste
intentions.
Furthermore,
it
also
highlights
effect
waste.
reveals
more
comprehensive
that
have
not
adequately
explored
existing
literature,
illustrating
elements
commonly
linked
with
technology
can
profoundly
strengthen
rewarding
associated
These
findings
suggest
value
applying
predicting
behaviors,
presenting
avenues
for
studies
practices
responsible
management
within
IT-enabled
hospitality
tourism
businesses.
BMC Medical Education,
Год журнала:
2024,
Номер
24(1)
Опубликована: Июнь 7, 2024
Abstract
Background
The
rapid
growth
of
artificial
intelligence
(AI)
technologies
has
been
driven
by
the
latest
advances
in
computing
power.
Although,
there
exists
a
dearth
research
on
application
AI
medical
education.
Methods
this
study
is
based
TAM-ISSM-UTAUT
model
and
introduces
STARA
awareness
chilling
effect
as
moderating
variables.
A
total
657
valid
questionnaires
were
collected
from
students
university
Dalian,
China,
data
statistically
described
using
SPSS
version
26,
Amos
3.0
software
was
used
to
validate
model,
well
moderated
effects
analysis
Process
(3.3.1)
software,
Origin
(2021)
software.
Results
findings
reveal
that
both
information
quality
perceived
usefulness
are
pivotal
factors
positively
influence
willingness
use
products.
It
also
uncovers
awareness.
Conclusions
This
suggests
enhancing
can
be
key
strategy
encourage
widespread
Furthermore,
investigation
offers
valuable
insights
into
intersection
education
standpoint
students.
may
prove
pertinent
shaping
promotion
Medical
Education
Intelligence
future.
Journal of Information Systems Engineering and Business Intelligence,
Год журнала:
2024,
Номер
10(2), С. 179 - 190
Опубликована: Июнь 28, 2024
Background:
Technology
Acceptance
Model
(TAM)
and
Expectation-Confirmation
(ECM)
integration
model
are
commonly
used
to
analyze
the
intention
use
technology
in
education.
Moreover,
ease
of
implementation
causes
various
external
factors
influencing
acceptance
continue
growing.
However,
limited
research
focuses
on
TAM
ECM
cloud-based
academic
system.
Objective:
This
aims
identify
user
perceptions
information
system
relationships
among
different
factors.
Methods:
The
integrated
Extended
ECM,
subsequently
processing
data
obtained
from
261
respondents
using
Structural
Equation
Modeling-Partial
Least
Squares
(SEM-PLS).
proposed
included
Facilitating
Condition
(FC),
Perceived
Usefulness
(PU),
Ease
Use
(PEOU),
Confirmation
(CM),
Satisfaction
(SF),
Behavioral
Intention
(BIU).
Results:
Based
carried
out,
results
were
PEOU
against
BIU
(H1,
êžµ=0.256,
p=0.001),
PU
(H2,
êžµ=0.200,
p=0.007),
SF
(H3,
êžµ=0.499,
p=
0.000).
Furthermore,
it
also
comprised
FC
(H4,
êžµ=0.839,
p=0.000),
(H5,
êžµ=0.849,
p=0.000)
(H6,
êžµ=0.294,
as
well
CM
(H7,
êžµ=0.358,
(H8,
êžµ=0.325,
p=0.000).
These
showed
that
each
construct
significantly
influenced
behavioral
intentions
Conclusion:
factor
Consequently,
most
influential
drivers
SF,
PU,
PEOU,
FC.
Keywords:
Acceptance,
Intention,
Cloud-Based
Academic
System,
Expectation
