Anthropomorphic chatbots as a catalyst for online customer experience (CX): The case of Egyptian consumers
Deena Sayed,
No information about this author
Soha Abutaleb
No information about this author
Journal of Marketing Communications,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 15
Published: Jan. 15, 2025
Chatbot
anthropomorphism
has
become
a
valuable
tool
for
enhancing
marketing
strategies
and
improving
overall
CX.
The
study
aims
to
investigate
the
influence
of
chatbot
on
online
CX
in
Egypt,
specifically
focusing
cognitive,
linguistic,
visual
anthropomorphic
cues.
It
is
conclusive
descriptive
research
which
quantitative
methods
are
utilized
sample
included
123
respondents
from
Egyptian
Consumers.
showed
that
cognitive
linguistic
cues
significantly
impact
consumers.
However,
were
found
have
minimal
impact.
paper
provides
original
data
CX,
cues,
as
well
growing
nuances
Artificial
Intelligence
context
applying
Chatbots
with
human
characteristics.
Language: Английский
The Moderating Role of Homophily and Need for Uniqueness in the Relationship Between Anthropomorphism of Virtual Influencer and Intention to Imitate and Word of Mouth
International Journal of Human-Computer Interaction,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 12
Published: Jan. 10, 2025
With
the
recent
gradual
reduction
in
negative
perceptions
of
virtual
influencers
(VIs),
understanding
how
consumers
perceive
VIs'
anthropomorphism
and
its
impact
on
forming
consumer
relationships
is
critical
for
increasing
marketing
effectiveness.
To
gain
a
better
form
with
VIs,
this
study
examined
VI
characteristics
as
well
personalities.
The
study's
data
were
collected
from
sample
266
social
media
users.
results
show
that
VI's
positively
affected
parasocial
relationship
(PSR).
This
association
was
reinforced
by
homophily,
whereas
neede
uniqueness
dampened
it.
PSR
influenced
trust,
intention
to
imitate,
word-of-mouth
(WOM).
Moreover,
trust
imitation
WOM.
aimed
broaden
theoretical
understanding,
specifically
consumers'
responses
which
an
emerging
research
area,
while
providing
practical
recommendations
companies
incorporating
VIs
into
their
strategies.
Language: Английский
The impact of new generative AI chatbots on the switch point (SP): toward an artificial emotional awareness (AEA)
European Journal of Innovation Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 27, 2025
Purpose
This
paper
aims
to
contribute
the
discussion
on
integrating
humans
and
technology
in
customer
service
within
framework
of
Society
5.0,
which
emphasizes
growing
role
artificial
intelligence
(AI).
It
examines
how
effectively
new
generative
AI-based
chatbots
can
handle
emotions
explores
their
impact
determining
point
at
a
customer–machine
interaction
should
be
transferred
human
agent
prevent
disengagement,
referred
as
Switch
Point
(SP).
Design/methodology/approach
To
evaluate
capabilities
managing
emotions,
ChatGPT-3.5,
Gemini
Copilot
are
tested
using
Trait
Emotional
Intelligence
Questionnaire
Short-Form
(TEIQue-SF).
A
reference
is
developed
illustrate
shift
Findings
Using
four-intelligence
(mechanical,
analytical,
intuitive
empathetic),
this
study
demonstrates
that,
despite
advancements
AI’s
ability
address
service,
even
most
advanced
chatbots—such
ChatGPT,
Copilot—still
fall
short
replicating
empathetic
(HI).
The
concept
emotional
awareness
(AEA)
introduced
characterize
AI
understanding
triggering
SP.
complementary
rather
than
replacement
perspective
HI
proposed,
highlighting
Research
limitations/implications
exploratory
nature
requires
further
theoretical
development
empirical
validation.
Practical
implications
has
only
an
character
with
respect
possible
real
introduction
collaborative
approaches
integration
5.0.
Originality/value
Customer
Relationship
Management
managers
use
proposed
guide
adopt
dynamic
approach
HI–AI
collaboration
AI-driven
service.
Language: Английский
Using SOR theory to examine the impact of AI Chatbot quality on Gen Z’s satisfaction and advocacy within the fast-food sector
Young Consumers Insight and Ideas for Responsible Marketers,
Journal Year:
2025,
Volume and Issue:
26(2), P. 352 - 383
Published: Feb. 28, 2025
Purpose
This
study
aims
to
provide
empirical
evidence
verify
the
dimensional
structure
of
artificial
intelligence
(AI)
Chatbot
quality
and
examine
impact
these
dimensions
on
consumer
satisfaction
brand
advocacy
among
Gen
Z
in
fast
food
industry
Egypt.
Design/methodology/approach
The
data
was
obtained
with
an
electronic
self-administered
survey
instrument
from
397
young
consumers
who
had
prior
experience
using
AI
Chatbots
across
multiple
brands
Structural
equation
modeling
used
analyze
formulated
hypotheses.
Findings
results
showed
that
dimensions,
specifically
information
authenticity
system
compliance,
significantly
enhance
consumers’
satisfaction.
In
addition,
observed
wield
a
significant
influence
advocacy.
contrast,
insignificant
relationship
noticed
between
Moreover,
mediating
role
not
established.
Practical
implications
Given
is
more
technology
savvy
computer
literate,
marketers
practitioners
should
invest
tools
respond
expectations
improve
their
perception
services.
Originality/value
uses
stimulus-organism-response
theory
understand
effect
within
industry.
Also,
it
introduced
two
novel
main
constructs
quality,
namely,
compliance.
Language: Английский
Does social identification with influencers impact social media fatigue among university students? The role of algorithm awareness and information overload
Xin Wang,
No information about this author
Yanyan Ding
No information about this author
Behavioral Psychology/Psicología Conductual,
Journal Year:
2024,
Volume and Issue:
32(3), P. 587 - 604
Published: Dec. 10, 2024
Social
media
has
radically
transformed
our
social
interactions,
becoming
one
of
the
most
used
communication
channels.
In
this
context,
identification
with
influencers
encouraged
greater
involvement
and
dependence
on
media.
However,
there
is
still
a
lack
understanding
regarding
how
contributes
to
fatigue
it
relates
algorithm
awareness
information
overload.
This
study
aimed
explore
these
relationships
among
336
university
students
(76,8%
women)
aged
18
23,
using
serial
mediation
approach
through
structural
equation
modeling.
The
results
highlight
importance
affects
fatigue,
as
well
relevance
overload
in
process.
These
findings
enrich
underlying
mechanisms
emphasize
need
consider
cognitive
perceptual
aspects
future
research
design
practical
interventions.
Language: Английский