Behaviour and Information Technology,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 23
Published: Nov. 24, 2023
This
study
examines
the
double-edged
sword
effect
of
chatbot
agent
anthropomorphism
on
customer
acceptance
in
retail
e-commerce
using
social
response
theory.
Scenario-based
experiments
with
a
between-subject
design
were
conducted
to
test
hypotheses.
Study
1
investigated
differences
positive
and
negative
psychological
perceptions
(i.e.
perceived
competence,
privacy
concerns)
intention
among
138
participants
for
different
levels
chatbots.
2
randomly
assigned
282
subjects
(anthropomorphism:
high
vs.
low)
×
(time
pressure:
experiments.
Data
collected
from
users
services
platforms
analysed
methods
reliability
validity
analyses,
one-sample
t-test,
independent-sample
one-way
ANOVA,
PROCESS
bootstrap
analyses.
The
results
showed
that
increased
customers'
competence
thus
their
accept
services,
but
also
concerns
decreased
intention.
Under
(vs.
time
pressure,
customers
highly
anthropomorphic
chatbots
as
more
competent,
pressure
did
not
moderate
concerns.
extends
research
theory
management
field,
provides
guidance
enterprises
develop
level
differentiation
strategies.
Computers in Human Behavior,
Journal Year:
2023,
Volume and Issue:
149, P. 107954 - 107954
Published: Sept. 19, 2023
Although
chatbots
are
oftentimes
used
in
customer
service
encounters,
interactions
perceived
as
not
satisfactory.
One
key
aspect
for
designing
is
the
use
of
anthropomorphic
design
elements.
In
this
experimental
study,
we
examine
two
chatbot
elements
personification,
which
includes
a
human-like
appearance,
and
social
orientation
communication
style,
means
more
sensitive
extensive
communication.
We
tested
influence
on
presence,
satisfaction,
trust
empathy
towards
chatbot.
First,
results
show
significant
both
presence.
Second,
our
findings
illustrate
that
presence
influences
trusting
beliefs,
empathy,
satisfaction.
Third,
acts
mediator
satisfaction
with
Our
implications
provide
better
understanding
when
short-term
interactions,
offer
actionable
practice
enable
effective
implementations.
Behaviour and Information Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 22
Published: Feb. 16, 2024
The
present
research
aims
to
highlight
the
underlying
factors
that
drive
students'
adoption
of
ChatGPT
chatbot
in
higher
education.
This
study
extends
meta-UTAUT
framework
by
including
additional
exogenous
anthropomorphism,
trust,
design
novelty,
and
institutional
policy.
Empirical
examination
with
Structural
Equation
Modelling
among
355
students
Dutch
education
institutions
revealed
attitude
behavioural
intention
as
significant
positive
predictors
use
behaviour.
Institutional
policy
negatively
moderated
effect
on
Behavioural
was
significantly
positively
influenced
attitude,
performance
expectancy,
social
influence,
facilitating
conditions.
Anthropomorphism,
effort
expectancy
were
unveiled
antecedents
attitude.
central
theoretical
contributions
this
include
investigating
behaviour
instead
intention,
establishing
a
core
construct,
underlining
highlighting
importance
contributes
prior
technology
adoption,
especially
area
artificial
intelligence
findings
yield
valuable
insights
for
designers,
product
managers,
writers.
International Journal of Consumer Studies,
Journal Year:
2023,
Volume and Issue:
48(1)
Published: Sept. 27, 2023
Abstract
The
notion
of
‘anthropomorphism’
has
been
a
subject
intrigue
for
transdisciplinary
academics
and
scholars
the
longest
time,
as
origin
this
concept
dates
back
to
BCE
(Before
Common
Era).
Over
past
few
decades,
anthropomorphism
literature
burgeoning
in
marketing
discipline
its
subfields
(branding,
advertising,
consumer
behaviour,
etc.).
This
relatively
novel
stream
adopts
offers
fascinating
insights
into
consumers
their
choices,
intentions.
Although
there
have
several
qualitative
review‐based
assessments
within
field,
none
informed
by
quantitative
tools
or
through
framework‐based
approach.
Our
hybrid
variant
systematic
review
fills
gap
using
bibliometric
techniques
(performance
analysis,
co‐authorship
analysis
countries
authors,
co‐word
keywords)
Theories‐Context‐Characteristics‐Methods
(TCCM)
framework
show
evolution
,
trends
intellectual
structure
behaviour
research.
We
depict
evolving
trajectory
over
time
sample
432
peer‐reviewed
journal
articles
27,671
secondary
references
(between
2005
2023)
on
behaviour.
Significant
results
include
identifying
describing
most
influential
articles,
journals
countries,
different
research
streams,
development,
future
directions.
also
present
six
knowledge
clusters
delineating
field.
An
additional
section
depicting
theories
employed,
characteristics
explored,
contexts
examined,
methods
utilized
domain
presented.
Furthermore,
we
used
TCCM
orchestrate
possible
trajectories
By
doing
this,
offer
practitioners
comprehension
advancements
comprehensive
road
map
Behavioral Sciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 337 - 337
Published: March 10, 2025
With
the
rapid
development
of
generative
artificial
intelligence
(AI),
AI
agents
are
evolving
into
“intelligent
partners”
integrated
various
consumer
scenarios,
posing
new
challenges
to
conventional
decision-making
processes
and
perceptions.
However,
mechanisms
through
which
consumers
develop
trust
adopt
in
common
scenarios
remain
unclear.
Therefore,
this
article
develops
a
framework
based
on
heuristic–systematic
model
explain
behavioral
future
consumers.
This
is
validated
PLS-SEM
with
data
from
632
participants
China.
The
results
show
that
can
link
individuals’
dual
decision
paths
further
drive
user
behavior.
Additionally,
we
identify
key
drivers
behavior
two
dimensions.
These
findings
provide
practical
guidance
for
businesses
policymakers
optimize
design
promote
widespread
acceptance
adoption
technologies.
