Leveraging Machine Learning to Analyze Influencer Credibility’s Impact on Brand Admiration and Consumer Purchase Intent in Social Media Marketing
Human Behavior and Emerging Technologies,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
This
study
harnesses
the
power
of
machine
learning
to
unravel
intricate
dynamics
influencer
credibility
in
shaping
brand
admiration
and
consumer
purchase
intent
within
realm
social
media
marketing.
A
survey
423
consumers,
analyzed
using
JASP
software
advanced
structural
equation
modeling
(SEM),
provides
a
data‐driven
lens
into
how
dimensions—experience,
trustworthiness,
attractiveness,
conformity—influence
perceptions
actions.
Findings
highlight
pivotal
roles
experience
trustworthiness
fostering
admiration,
while
attractiveness
yields
inconclusive
results.
Conformity
emerges
as
subtle
yet
significant
factor
driving
intent.
Notably,
serves
critical
intermediary,
bridging
gap
between
decisions.
research
underscores
transformative
potential
decoding
behavior,
offering
fresh
insights
for
marketers
aiming
optimize
influencer‐driven
campaigns
ever‐evolving
digital
landscape.
Language: Английский
The impact of team psychological safety on employee innovative performance a study with communication behavior as a mediator variable
浩 大津,
No information about this author
Yan Peng
No information about this author
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(10), P. e0306629 - e0306629
Published: Oct. 30, 2024
This
study
aims
to
delve
into
the
impact
of
team
psychological
safety
on
employee
innovative
performance
and
analyze
mediating
role
communication
behavior
in
this
process.
Given
central
innovation
sustained
competitiveness
enterprises,
understanding
how
promotes
through
is
significant
theoretical
practical
importance.
The
employs
a
structural
equation
model
(SEM)
survey
data
from
580
employees
across
various
high-tech
enterprises.
results
indicate
that
three
dimensions
safety—team
collaboration
understanding,
information
sharing,
give-and-take
balance—have
positive
performance.
Moreover,
plays
between
reveals
influence
behavior,
emphasizing
importance
building
environment
stimulate
potential.
It
provides
empirical
evidence
for
enterprise
managers
optimize
strategies
enhance
Language: Английский
Impacts of Social Media Advertising on Purchase Intention and Customer Loyalty in E-Commerce Systems
ACM Transactions on Asian and Low-Resource Language Information Processing,
Journal Year:
2023,
Volume and Issue:
23(8), P. 1 - 15
Published: Aug. 7, 2023
The
emergence
of
new
technologies
has
had
a
noteworthy
impact
on
communication
systems,
leading
to
the
importance
conducting
research
in
this
area
due
significant
influence
social
media.
Marketing
operators
must
implement
necessary
infrastructure
identify
and
fulfill
customers'
expectations,
considering
advantages
increasing
number
users
networks.
This
paper
presents
comprehensive
framework
for
evaluating
purchase
intention
electronic
commerce
taking
into
account
media
advertising
customer
loyalty.
aims
enhance
e-commerce
through
examine
influential
factors
that
improve
online
shopping
performance,
including
advertising's
effectiveness
behavior
brand
develops
theoretical
nine
hypotheses
evaluate
with
focus
effect
loyalty
intention.
To
validate
proposed
model
test
hypotheses,
we
make
use
information
obtained
from
an
international
company
located
China.
results
demonstrate
positive
pleasurable
motivation
intention,
significance
level
3.776
path
coefficient
0.279.
Moreover,
investigation
recommended
advertisement
confirms
32.815
0.788.
Language: Английский